{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/ml-tooling"},"x-facet":{"type":"skill","slug":"ml-tooling","display":"Ml Tooling","count":9},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_15092e66-444"},"title":"Strategic Account Executive, GSI","description":"<p><strong>About the Role</strong></p>\n<p>As a Strategic Account Executive on the GSI team, you&#39;ll own a named book of accounts and the full revenue outcome for each. You&#39;ll develop a point of view on where Claude creates the most value across a firm&#39;s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms</li>\n<li>Develop a clear thesis for each priority firm , where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements , and execute a sequenced engagement plan across practices, regions, and stakeholders</li>\n<li>Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity</li>\n<li>Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations</li>\n<li>Build quantified, firm-specific business cases mapped to the GSI operating model , using their own language and metrics , that shape deals rather than justify them after the fact</li>\n<li>Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion</li>\n<li>Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement</li>\n<li>Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level , including practice leadership and innovation/digital executives , and hold credible conversations across both technical and business audience</li>\n<li>Experience building firm-specific business cases grounded in the firm&#39;s own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations</li>\n<li>Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category</li>\n<li>Genuine interest in AI and strong alignment with Anthropic&#39;s mission of responsible AI development</li>\n<li>A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases</li>\n</ul>\n<p><strong>What Will Make You Stand Out</strong></p>\n<ul>\n<li>Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success</li>\n<li>Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it</li>\n<li>Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience</li>\n<li>Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience</li>\n<li>Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position</li>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_15092e66-444","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5176036008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$290,000-$435,000 USD","x-skills-required":["Enterprise software sales","Named account ownership","Complex sales cycles","Partner-led approval","Global procurement","Firm-specific business cases","Commercial terms negotiation","Platform, API, cloud infrastructure, or emerging technology sales","AI interest and alignment with Anthropic's mission"],"x-skills-preferred":["Direct experience selling into Global SI’s or strategy consultancies","Experience as an early AE in a vertical or segment","Background selling developer platforms, cloud infrastructure, or AI/ML tooling"],"datePosted":"2026-04-18T15:59:27.988Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Enterprise software sales, Named account ownership, Complex sales cycles, Partner-led approval, Global procurement, Firm-specific business cases, Commercial terms negotiation, Platform, API, cloud infrastructure, or emerging technology sales, AI interest and alignment with Anthropic's mission, Direct experience selling into Global SI’s or strategy consultancies, Experience as an early AE in a vertical or segment, Background selling developer platforms, cloud infrastructure, or AI/ML tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":435000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_709b405a-48b"},"title":"Staff / Senior Software Engineer, AI Reliability","description":"<p>We&#39;re seeking a Staff / Senior Software Engineer, AI Reliability to join our team. As a key member of our AIRE (AI Reliability Engineering) team, you will partner with teams across Anthropic to improve reliability across our most critical serving paths. You will develop Service Level Objectives for large language model serving systems, design and implement monitoring and observability systems, assist in the design and implementation of high-availability serving infrastructure, lead incident response for critical AI services, and support the reliability of safeguard model serving.</p>\n<p>You may be a good fit for this role if you have strong distributed systems, infrastructure, or reliability backgrounds, are curious and brave, think holistically about how systems compose and where the seams are, can build lasting relationships across teams, care about users and feel ownership over outcomes, have excellent communication and collaboration skills, and bring diverse experience.</p>\n<p>Strong candidates may also have experience operating large-scale model serving or training infrastructure, experience with one or more ML hardware accelerators, understanding of ML-specific networking optimizations, expertise in AI-specific observability tools and frameworks, experience with chaos engineering and systematic resilience testing, and contributions to open-source infrastructure or ML tooling.</p>\n<p>We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. We value impact and believe that the highest-impact AI research will be big science. We work as a single cohesive team on just a few large-scale research efforts and value communication skills.</p>\n<p>If you&#39;re interested in this role, please submit an application even if you don&#39;t believe you meet every single qualification. We encourage diversity and strive to include a range of diverse perspectives on our team.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_709b405a-48b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5113224008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$325,000-$485,000 USD","x-skills-required":["distributed systems","infrastructure","reliability","Service Level Objectives","monitoring and observability systems","high-availability serving infrastructure","incident response","safeguard model serving"],"x-skills-preferred":["large-scale model serving or training infrastructure","ML hardware accelerators","ML-specific networking optimizations","AI-specific observability tools and frameworks","chaos engineering and systematic resilience testing","open-source infrastructure or ML tooling"],"datePosted":"2026-04-18T15:52:16.313Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, infrastructure, reliability, Service Level Objectives, monitoring and observability systems, high-availability serving infrastructure, incident response, safeguard model serving, large-scale model serving or training infrastructure, ML hardware accelerators, ML-specific networking optimizations, AI-specific observability tools and frameworks, chaos engineering and systematic resilience testing, open-source infrastructure or ML tooling","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":485000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9e898a04-26d"},"title":"Production Engineer, Support tooling (Tooling and Frameworks)","description":"<p>The Senior Production Engineering team sits at the heart of CoreWeave&#39;s reliability efforts. In this role, you&#39;ll partner closely with our Support/CX teams to build, operate, and evolve internal tooling that enables a &quot;Direct-to-Expert&quot; support model at scale.</p>\n<p>You&#39;ll define and ship AI-assisted workflows, self-service diagnostics, and platform integrations that reduce time-to-resolution and improve customer experience across our cloud.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design, build, and own support-facing tools for case triage, intelligent routing, and expert engagement, integrating with incident and change management workflows.</li>\n</ul>\n<ul>\n<li>Develop AI-powered assistants and automations that accelerate root-cause discovery, knowledge retrieval, and resolution quality.</li>\n</ul>\n<ul>\n<li>Create and maintain dashboards, alerts, and signals that surface tooling issues early; integrate observability into new tooling to reduce MTTR.</li>\n</ul>\n<ul>\n<li>Build self-service and guided diagnostics that empower Support/CX to resolve common issues and collect high-quality context for escalations.</li>\n</ul>\n<ul>\n<li>Codify reliability and support practices into services, APIs, and Kubernetes-native controllers/operators where appropriate.</li>\n</ul>\n<ul>\n<li>Partner with engineering leadership and internal stakeholders to prioritise roadmap initiatives, land adoption, and measure business impact.</li>\n</ul>\n<ul>\n<li>Participate in an on-call rotation for the tooling you own.</li>\n</ul>\n<p>Minimum qualifications include:</p>\n<ul>\n<li>4+ years of software or infrastructure engineering experience building and operating production services.</li>\n</ul>\n<ul>\n<li>Proficiency in Go or Python (or equivalent experience).</li>\n</ul>\n<ul>\n<li>Strong fundamentals in Linux, containers, and Kubernetes; comfortable debugging in distributed systems.</li>\n</ul>\n<ul>\n<li>Experience with observability (metrics/logs/traces) and using data to improve reliability and support outcomes.</li>\n</ul>\n<ul>\n<li>Demonstrated experience with incident management and steady-state operational excellence (e.g., progressive delivery, testing strategies, error budgets, fault-tolerant design).</li>\n</ul>\n<ul>\n<li>Comfort collaborating with multiple stakeholders (Support/CX, Product, SRE, and service owners).</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Experience integrating or building support/operations tooling (e.g., ticketing/incident systems, status page, knowledge management, chat/alerting integrations).</li>\n</ul>\n<ul>\n<li>Experience automating manual workflows and stitching together productivity platforms.</li>\n</ul>\n<ul>\n<li>Familiarity with AI/ML tooling for retrieval, summarization, or copilot-style assistance.</li>\n</ul>\n<ul>\n<li>Experience codifying operational practices into Kubernetes controllers, operators, or platform services.</li>\n</ul>\n<p>The base salary range for this role is $139,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).</p>\n<p>In addition to a competitive salary, we offer a variety of benefits to support your needs, including:</p>\n<ul>\n<li>Medical, dental, and vision insurance - 100% paid for by CoreWeave</li>\n</ul>\n<ul>\n<li>Company-paid Life Insurance</li>\n</ul>\n<ul>\n<li>Voluntary supplemental life insurance</li>\n</ul>\n<ul>\n<li>Short and long-term disability insurance</li>\n</ul>\n<ul>\n<li>Flexible Spending Account</li>\n</ul>\n<ul>\n<li>Health Savings Account</li>\n</ul>\n<ul>\n<li>Tuition Reimbursement</li>\n</ul>\n<ul>\n<li>Ability to Participate in Employee Stock Purchase Program (ESPP)</li>\n</ul>\n<ul>\n<li>Mental Wellness Benefits through Spring Health</li>\n</ul>\n<ul>\n<li>Family-Forming support provided by Carrot</li>\n</ul>\n<ul>\n<li>Paid Parental Leave</li>\n</ul>\n<ul>\n<li>Flexible, full-service childcare support with Kinside</li>\n</ul>\n<ul>\n<li>401(k) with a generous employer match</li>\n</ul>\n<ul>\n<li>Flexible PTO</li>\n</ul>\n<ul>\n<li>Catered lunch each day in our office and data center locations</li>\n</ul>\n<ul>\n<li>A casual work environment</li>\n</ul>\n<ul>\n<li>A work culture focused on innovative disruption</li>\n</ul>\n<p>Our Workplace</p>\n<p>While we prioritise a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialised skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9e898a04-26d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4617128006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$139,000 to $204,000","x-skills-required":["Go","Python","Linux","containers","Kubernetes","observability","incident management","operational excellence"],"x-skills-preferred":["AI/ML tooling","ticketing/incident systems","status page","knowledge management","chat/alerting integrations","automating manual workflows","productivity platforms"],"datePosted":"2026-04-18T15:48:08.984Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Go, Python, Linux, containers, Kubernetes, observability, incident management, operational excellence, AI/ML tooling, ticketing/incident systems, status page, knowledge management, chat/alerting integrations, automating manual workflows, productivity platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":139000,"maxValue":204000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6e9e4db5-6e0"},"title":"Enterprise Account Executive, Industries","description":"<p>About the role</p>\n<p>Anthropic&#39;s Industries team partners with the world&#39;s largest enterprises across retail, manufacturing, automotive, consumer goods, hospitality, and commercial real estate to deploy frontier AI into the core of how they operate. As an Enterprise Account Executive on the Industries team, you&#39;ll own a named book of accounts and the full revenue outcome for each. You&#39;ll develop a point of view on where Claude creates the most value across a customer&#39;s business, build relationships with the executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams</li>\n</ul>\n<ul>\n<li>Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals</li>\n</ul>\n<ul>\n<li>Break into new accounts and cross-sell into existing business alongside our team of Account Executives</li>\n</ul>\n<ul>\n<li>Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts</li>\n</ul>\n<ul>\n<li>Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options</li>\n</ul>\n<ul>\n<li>Prioritize organizations that can serve as lighthouse customers and references within their industries</li>\n</ul>\n<ul>\n<li>Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations</li>\n</ul>\n<ul>\n<li>Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps</li>\n</ul>\n<ul>\n<li>Develop sales collateral, proposals, and presentations to effectively position Anthropic&#39;s AI products. Continuously refine sales tactics and share best practices</li>\n</ul>\n<p>You may be a good fit if you have</p>\n<ul>\n<li>8+ years of enterprise software sales experience, with a track record of owning named accounts at large, complex organizations</li>\n</ul>\n<ul>\n<li>Experience managing multi-quarter sales cycles involving multiple stakeholders, technical evaluations, and enterprise procurement</li>\n</ul>\n<ul>\n<li>A history of growing accounts meaningfully beyond the original engagement by creating demand across new divisions and use cases</li>\n</ul>\n<ul>\n<li>Demonstrated ability to independently build and advance relationships at the C-suite and SVP level, including preparing for and leading executive conversations without relying on internal executive sponsorship</li>\n</ul>\n<ul>\n<li>Experience building customer-specific business cases grounded in the customer&#39;s own financials and priorities, and defending commercial terms through procurement</li>\n</ul>\n<ul>\n<li>Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category</li>\n</ul>\n<ul>\n<li>Strong executive presence and the ability to hold a credible conversation across both technical and business audiences</li>\n</ul>\n<ul>\n<li>Genuine interest in AI and strong alignment with Anthropic&#39;s mission of developing AI systems that are safe and beneficial</li>\n</ul>\n<p>What will make you stand out</p>\n<ul>\n<li>Direct experience selling into one or more of our core verticals and fluency in how those businesses operate and measure success</li>\n</ul>\n<ul>\n<li>Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it</li>\n</ul>\n<ul>\n<li>Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional enterprises</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6e9e4db5-6e0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/4493035008","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$290,000-$360,000 USD","x-skills-required":["enterprise software sales","named account management","multi-quarter sales cycles","technical evaluations","enterprise procurement","customer relationship building","executive presence","AI knowledge"],"x-skills-preferred":["platform sales","API sales","cloud infrastructure sales","emerging technology sales","developer platform sales","AI/ML tooling sales"],"datePosted":"2026-04-18T15:39:01.394Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"enterprise software sales, named account management, multi-quarter sales cycles, technical evaluations, enterprise procurement, customer relationship building, executive presence, AI knowledge, platform sales, API sales, cloud infrastructure sales, emerging technology sales, developer platform sales, AI/ML tooling sales","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":290000,"maxValue":360000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d47f36d6-f1a"},"title":"Compliance Analyst, Luxembourg","description":"<p>We are seeking a detail-oriented and experienced Compliance Analyst to join our team at Bridge Building S.A. in Luxembourg. As a Compliance Analyst, you will support the Money Laundering Reporting Officer (MLRO) and the Compliance function by providing second-line oversight, executing compliance monitoring and investigations, supporting police/law-enforcement requests, and maintaining Anti-Money Laundering (AML)/Countering the Financing of Terrorism (CTF) policies and governance in line with Luxembourg AML/CTF laws and CSSF expectations.</p>\n<p>Key Responsibilities:</p>\n<p>AML/CTF Compliance Monitoring (2LoD):\nSupport, maintain, and execute an independent, risk-based AML/CTF compliance monitoring and testing programme across Bridge&#39;s EMI and CASP perimeter.\nPerform thematic and control effectiveness reviews covering Customer Due Diligence (CDD)/Enhanced Due Diligence (EDD), transaction monitoring, sanctions/Politically Exposed Persons (PEP) screening, recordkeeping, and governance arrangements.\nIndependently assess the adequacy and effectiveness of first-line controls and document conclusions with clear ratings and recommendations.\nIssue formal findings, agree remediation actions with the First Line of Defence (1LoD), and independently validate remediation closure through follow-up testing.\nEscalate material weaknesses or control deficiencies to senior management and governance committees where required.</p>\n<p>Investigations and Escalations:\nProvide second-line review and challenge of higher-risk cases escalated by the first line (high-risk customers, complex typologies, sanctions/PEP matches, internal escalation); support MLRO decisioning and documentation.\nConduct or support independent investigations triggered by red flags, audit/regulatory findings, or intelligence from partners; ensure a consistent audit trail in case management tools.</p>\n<p>Law Enforcement / Police Requests:\nOversee and coordinate responses to police, law enforcement, and competent authority requests in collaboration with the MLRO and Legal.\nProvide compliance oversight to ensure responses are timely, complete, proportionate, and aligned with regulatory obligations.\nMaintain governance-level logs, metrics, and reporting relating to external authority requests.\nAssess whether information requests or intelligence received may indicate systemic control weaknesses or trigger enhanced monitoring requirements.</p>\n<p>Policy, Procedures and Program Maintenance:\nDraft, maintain, and periodically review AML/CTF policies, procedures, and standards for the EMI and CASP perimeter (risk rating, CDD/EDD, transaction monitoring governance, sanctions/PEP, record retention etc.).\nContribute to the AML/CTF Business Risk Assessment and annual compliance plan; support governance committees and management reporting.</p>\n<p>Advisory and Training:\nProvide AML/CTF advisory support to Operations, Onboarding, Product, and Engineering teams (new products/process changes, control design, risk mitigations).\nSupport the development and delivery of AML/CTF training and communications, including targeted guidance for high-risk scenarios.</p>\n<p>Regulatory Readiness and Reporting:\nSupport responses to CSSF requests, audits, and inspections; prepare monitoring reports, management information (MI/KRIs), and remediation tracking.\nStay up to date on changes to AML/CTF laws, CSSF guidance, and financial crime typologies relevant to payments and crypto-asset services.</p>\n<p>Key Requirements:</p>\n<p>Education:\nBachelor’s degree in Law, Compliance, Finance, Business Administration, or a related field.</p>\n<p>Experience:\nAt least 4 years of experience in AML/CTF Compliance (second line of defence/compliance monitoring), preferably within an EMI/PI, CASP/VASP, bank, or regulated fintech environment.\nDemonstrated experience drafting AML/CTF policies and procedures, executing compliance monitoring/testing, supporting MLRO investigations and STR/SAR processes, and handling police/law-enforcement information requests.</p>\n<p>Skills:\nStrong understanding of AML/CTF governance, the three lines of defence model, and second-line compliance monitoring methodologies.\nExcellent analytical and investigative skills, with the ability to produce clear written assessments and regulatory-ready documentation.\nAbility to take full ownership of projects from conception to completion within agreed timelines.\nProficiency with AML tooling (case management, screening, transaction monitoring); familiarity with blockchain analytics tools is an advantage.\nStrong communication skills, both written and verbal, in English; French is an asset; knowledge of German and/or Luxembourgish is an advantage.</p>\n<p>Certifications:\nRelevant certifications such as CAMS (Certified Anti-Money Laundering Specialist) or ICA (International Compliance Association) qualifications are considered an advantage.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d47f36d6-f1a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bridge Building S.A.","sameAs":"https://www.bridge.com/","logo":"https://logos.yubhub.co/bridge.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/7587357","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AML/CTF governance","Three lines of defence model","Second-line compliance monitoring methodologies","Analytical and investigative skills","Clear written assessments and regulatory-ready documentation","AML tooling (case management, screening, transaction monitoring)","Blockchain analytics tools","Strong communication skills in English"],"x-skills-preferred":[],"datePosted":"2026-03-31T18:07:36.403Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Luxembourg"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"AML/CTF governance, Three lines of defence model, Second-line compliance monitoring methodologies, Analytical and investigative skills, Clear written assessments and regulatory-ready documentation, AML tooling (case management, screening, transaction monitoring), Blockchain analytics tools, Strong communication skills in English"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6186a306-374"},"title":"Head of Engineering (AI)","description":"<p><strong>Head of Engineering (AI)</strong></p>\n<p>At Fuse Energy, we&#39;re on a mission to deliver a terawatt of renewable energy - fast. We&#39;re combining first-principles thinking with cutting-edge technology to build a radically better energy system.</p>\n<p>As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the AI engineering roadmap and lead the development of AI-first features</li>\n<li>Productionize ML models, ensuring scalability, performance, and observability</li>\n<li>Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning)</li>\n<li>Build systems that integrate AI into key parts of our stack, such as:</li>\n<li>Forecasting customer demand and renewable generation</li>\n<li>Dynamic pricing and energy trading algorithms</li>\n<li>Intelligent alerts and personalized customer features</li>\n<li>Work closely with product and engineering leadership to identify high-impact AI opportunities</li>\n<li>Build and lead a high-performing team of AI engineers</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams</li>\n<li>Deep experience deploying ML models into production environments</li>\n<li>Proficiency in designing scalable data pipelines and real-time inference systems</li>\n<li>Understanding of modern ML tooling and frameworks (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker)</li>\n<li>Strong cross-functional collaboration skills, particularly with data science and product teams</li>\n<li>Clear communication and an ability to prioritize for both experimentation and reliability</li>\n</ul>\n<p><strong>Bonus</strong></p>\n<ul>\n<li>Familiarity with optimization, time series modeling, or forecasting</li>\n<li>Experience with large language models (LLMs), RAG, or generative AI in production</li>\n<li>Background in MLOps or AI infrastructure at scale</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and an equity sign-on bonus</li>\n<li>Biannual bonus scheme</li>\n<li>Fully expensed tech to match your needs</li>\n<li>Paid annual leave</li>\n<li>Breakfast and dinner allowance for office-based employees</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6186a306-374","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Fuse Energy","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/xz8u7PJwq8wtrGKdHBNFmd/hybrid-head-of-engineering-(ai)-in-dubai-at-fuse-energy","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Strong software engineering background","Deep experience deploying ML models into production environments","Proficiency in designing scalable data pipelines and real-time inference systems","Understanding of modern ML tooling and frameworks","Strong cross-functional collaboration skills"],"x-skills-preferred":["Familiarity with optimization, time series modeling, or forecasting","Experience with large language models (LLMs), RAG, or generative AI in production","Background in MLOps or AI infrastructure at scale"],"datePosted":"2026-03-09T16:57:47.100Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dubai"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Strong software engineering background, Deep experience deploying ML models into production environments, Proficiency in designing scalable data pipelines and real-time inference systems, Understanding of modern ML tooling and frameworks, Strong cross-functional collaboration skills, Familiarity with optimization, time series modeling, or forecasting, Experience with large language models (LLMs), RAG, or generative AI in production, Background in MLOps or AI infrastructure at scale"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_73ff6f07-c0e"},"title":"Staff Software Engineer, AI Reliability Engineering","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>Claude has your back. AIRE has Claude&#39;s. Help us keep Claude reliable for everyone who depends on it.</p>\n<p>AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects.</p>\n<p>Reliability here is an emergent phenomenon that transcends any single team&#39;s boundaries, so someone has to zoom out and look at the whole picture. That&#39;s us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity.</li>\n<li>Design and implement monitoring and observability systems across the token path.</li>\n<li>Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers</li>\n<li>Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements.</li>\n<li>Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic&#39;s safety commitments.</li>\n</ul>\n<p><strong>You may be a good fit if you</strong></p>\n<ul>\n<li>Have strong distributed systems, infrastructure, or reliability backgrounds -- we&#39;re looking for reliability-minded software engineers and SREs.</li>\n<li>Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don&#39;t have deep expertise yet.</li>\n<li>Think holistically about how systems compose and where the seams are.</li>\n<li>Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions.</li>\n<li>Care about users and feel ownership over outcomes, even for systems you don&#39;t own.</li>\n<li>Have excellent communication and collaboration skills -- you&#39;ll be partnering across the entire company.</li>\n<li>Bring diverse experience -- the team&#39;s strength comes from people who&#39;ve built product stacks, scaled databases, run massive distributed systems, and everything in between.</li>\n</ul>\n<p><strong>Strong candidates may also</strong></p>\n<ul>\n<li>Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems</li>\n<li>Have experience operating large-scale model serving or training infrastructure (&gt;1000 GPUs).</li>\n<li>Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium).</li>\n<li>Understand ML-specific networking optimizations like RDMA and InfiniBand.</li>\n<li>Have expertise in AI-specific observability tools and frameworks.</li>\n<li>Have experience with chaos engineering and systematic resilience testing.</li>\n<li>Have contributed to open-source infrastructure or ML tooling.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship</strong></p>\n<p>We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong></p>\n<p>Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong></p>\n<p>To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and engineering as it does with computer science.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_73ff6f07-c0e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5101173008","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"£325,000 - £390,000GBP","x-skills-required":["distributed systems","infrastructure","reliability","software engineering","SRE","large scale systems","model serving","training infrastructure","ML hardware accelerators","RDMA","InfiniBand","AI-specific observability tools","chaos engineering","resilience testing","open-source infrastructure","ML tooling"],"x-skills-preferred":["SRE","Production Engineer","reliability-focused roles","ML hardware accelerators","RDMA","InfiniBand","AI-specific observability tools","chaos engineering","resilience testing","open-source infrastructure","ML tooling"],"datePosted":"2026-03-08T13:51:34.354Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, infrastructure, reliability, software engineering, SRE, large scale systems, model serving, training infrastructure, ML hardware accelerators, RDMA, InfiniBand, AI-specific observability tools, chaos engineering, resilience testing, open-source infrastructure, ML tooling, SRE, Production Engineer, reliability-focused roles, ML hardware accelerators, RDMA, InfiniBand, AI-specific observability tools, chaos engineering, resilience testing, open-source infrastructure, ML tooling","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":325000,"maxValue":390000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c930b80e-7a6"},"title":"Staff / Senior Software Engineer, AI Reliability","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects.</p>\n<p>Reliability here is an emergent phenomenon that transcends any single team&#39;s boundaries, so someone has to zoom out and look at the whole picture. That&#39;s us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most.</p>\n<p>Claude has your back. AIRE has Claude&#39;s. Help us keep Claude reliable for everyone who depends on it.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity.</li>\n</ul>\n<ul>\n<li>Design and implement monitoring and observability systems across the token path.</li>\n</ul>\n<ul>\n<li>Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers</li>\n</ul>\n<ul>\n<li>Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements.</li>\n</ul>\n<ul>\n<li>Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic&#39;s safety commitments.</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have strong distributed systems, infrastructure, or reliability backgrounds -- we&#39;re looking for reliability-minded software engineers and SREs.</li>\n</ul>\n<ul>\n<li>Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don&#39;t have deep expertise yet.</li>\n</ul>\n<ul>\n<li>Think holistically about how systems compose and where the seams are.</li>\n</ul>\n<ul>\n<li>Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions.</li>\n</ul>\n<ul>\n<li>Care about users and feel ownership over outcomes, even for systems you don&#39;t own.</li>\n</ul>\n<ul>\n<li>Have excellent communication and collaboration skills -- you&#39;ll be partnering across the entire company.</li>\n</ul>\n<ul>\n<li>Bring diverse experience -- the team&#39;s strength comes from people who&#39;ve built product stacks, scaled databases, run massive distributed systems, and everything in between.</li>\n</ul>\n<p><strong>Strong candidates may also:</strong></p>\n<ul>\n<li>Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems</li>\n</ul>\n<ul>\n<li>Have experience operating large-scale model serving or training infrastructure (&gt;1000 GPUs).</li>\n</ul>\n<ul>\n<li>Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium).</li>\n</ul>\n<ul>\n<li>Understand ML-specific networking optimizations like RDMA and InfiniBand.</li>\n</ul>\n<ul>\n<li>Have expertise in AI-specific observability tools and frameworks.</li>\n</ul>\n<ul>\n<li>Have experience with chaos engineering and systematic resilience testing.</li>\n</ul>\n<ul>\n<li>Have contributed to open-source infrastructure or ML tooling.</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</strong></p>\n<p><strong>Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</strong></p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. 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