{"id":2119877,"url":"https://alion.io/job/extrac-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":4333564,"name":"ExTrac","domain":"extrac.ai","url":"https://alion.io/company/extrac","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":109000,"max_usd":200000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-09-29T16:46:30Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-11T00:47:27Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"About ExTrac\nExTrac is a decision intelligence company used by governments, defence organisations, financial institutions, and corporates operating in complex, fast-moving environments. Our capabilities fuse curated data sources, domain-specific AI, and deep human expertise to transform information overload into clear, actionable foresight.\nOur ambition is to become the analytical backbone that organisations rely on when geopolitical uncertainty becomes an opportunity or a strategic risk. More at extrac.ai.\nThe Role\nLocation: Hybrid (In-office in London, minimum 2 days per week)\nWe are looking for a Senior ML Engineer to join ExTrac's Machine Learning team, which owns our modelling capabilities end-to-end.\nYou will partner directly with software engineering and product design to understand requirements, design and run model evaluations, integrate optimised workflows into production pipelines and ensure results remain reliable at scale.\nYou will architect cutting-edge agentic systems for large-scale analysis of the geopolitical landscape, train and evaluate domain-specific models for the unique problems our customers face and work with design and engineering to bring them into the product. Alongside domain experts, you will translate research into practical solutions for analysts operating at the frontier of their field.\nIn this role, you will lead technical direction on major initiatives, set standards across the team, and mentor others. You will take projects from prototype to reliable production deployment, collaborate closely with the engineers who design the data collection and processing backend, and engage directly with senior stakeholders.\nWe look for people who enjoy challenging problems, keep learning and build systems that scale. We value low ego, genuine ownership and a passion for applying AI to high-stakes intelligence challenges.\nWhat the job involves\nDesign systems that balance research velocity with real product and production constraints\n\nMake technical decisions on model selection, training approaches, evaluation and deployment\n\nDeliver production-ready systems at scale, combining research rigour with pragmatic engineering\n\nTake projects from early exploration through to reliable deployment\n\nUphold high standards for architecture, code quality, evaluation and research practice\n\nYou should apply if\nYou like using machine learning to solve challenging problems in a complex domain\n\nYou enjoy working closely with product, design and the analysts who use what you build, and you take the lead in turning their feedback into technical decisions\n\nYou have hands-on experience with model serving (small models and LLMs), agent orchestration and retrieval systems, and a thoughtful, current view on effective workflows in this space\n\nYou care about engineering fundamentals: writing code that's clean and maintainable, and you hold the people around you to that same bar\n\nYou're comfortable owning ambiguity, setting direction, and mentoring others in a fast-paced environment\n\nWhere this role can take you\nThis role puts you at the frontier of applied AI for high-stakes decision-making, with real influence over how ExTrac's agentic systems are built and where they go next.\n\nStrong performance here means deeper ownership of technical direction across the ML team, a bigger hand in setting the standards others are held to, and a path toward specialised domain AI leadership or broader technical leadership, depending on what you want to grow into.\n\nRequirements\nDue to the nature of our work and the clients we support, applicants must be eligible to obtain UK security clearance. We are currently only able to consider applicants who are nationals of a NATO member state, Australia, or New Zealand.\nTechnical excellence (working on production systems at scale, research that was used, or end-to-end ownership in an early-stage role)\n\nHands-on experience with model serving (small models and LLMs), agent orchestration and retrieval systems\n\nRigour in evaluation and benchmarking\n\nStrong engineering fundamentals: ability to write clean, maintainable code and design robust systems\n\nComfort with a fast-paced environment and clear ownership\n\nExperience with modern coding agents and thoughtful views on effective workflows\n\nDesirable\nEarly-stage start-up experience\n\nBuilding agentic tools and harnesses\n\nWorking on domain specific modelling problems\n\nClear writing, systematic thinking and strong communication\n\nInterview Process\nInitial Intro Interview - 30 Minutes\n\nTechnical Assessment - 45 minutes\n\nSystem Design Assessment - 45 minutes\n\nFounder interview - 30 Minutes\n\nBenefits\nCompetitive salary based on skills and experience.\n\nA generous benefits package, including Private Medical Health Insurance and enhanced pension contributions.\n\nEnhanced parental leave and a workplace nursery scheme.\n\n£500/year education budget with more expensive items (like conferences) covered with manager approval.\n\n33 days of leave across the year inclusive of bank holidays.\n\nFlexible working, hybrid: minimum 2 days per week in our central London office.\n\nExTrac AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, colour, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.\nExTrac AI is committed to a fair and transparent hiring process. We confirm that this advertisement is for an active, existing open role within our organisation. Please be advised that we may use artificial intelligence-driven tools to assist our recruitment team in screening, assessing, and selecting candidates for this position but all hiring decisions will be made by a member of our team.","description_format":"text","description_chars":5901,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Health insurance","Parental leave","Workplace nursery"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-08T23:54:59Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.865,"p_room":1,"age_days":10,"expected_fill_days":39,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/extrac-senior-machine-learning-engineer","json_url":"https://alion.io/job/extrac-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-11T04:52:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4014,"day_limit":5000,"remaining_today":986,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4333564},"rest":"https://alion.io/mcp/rest/get_company?id=4333564"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fextrac-senior-machine-learning-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fextrac-senior-machine-learning-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fextrac-senior-machine-learning-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/extrac-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fextrac-senior-machine-learning-engineer"}]}