{"id":62297,"url":"https://alion.io/job/relx-machine-learning-engineering-lead","title":"Machine Learning Engineering Lead","company":{"id":3770,"name":"RELX","domain":"relx.com","url":"https://alion.io/company/relx","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":150,"ghost_share":0,"stale_share":0.78,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","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":98000,"max_usd":181000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Embeddings","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"C#","optional":true},{"name":"ChatGPT","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-18T00:40:32Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Machine Learning Engineering Lead\nAre you passionate about designing and deploying intelligent machine learning solutions that drive business impact?\nDo you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services?\nAbout the team:\nWe are a software engineering team responsible for developing and supporting business-critical platforms used to create, manage, publish, and analyse legal and regulatory content. Our work spans modern web applications, cloud services, content migration programmes, publishing platforms, reporting solutions, and operational tooling. We partner with editorial, product, and technology stakeholders to deliver high-quality solutions that drive business value. In addition to supporting the UK business, we work closely with engineering teams across multiple regions to share expertise, promote reuse, and deliver scalable solutions that benefit the wider organisation.\nAbout the role:\nThis position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture, MLOps, responsible AI, legacy system integration, AWS-based delivery, and AI-assisted development practices. The position does not have direct reports.\nKey Responsibilities:\nServe as the initial point of escalation for AI/ML engineering issues within the area of responsibility.\n\nInterface with software engineers, data engineers, product stakeholders, domain experts, platform teams, and other technical personnel to finalise requirements and clarify integration needs.\n\nWrite and review portions of detailed specifications for the development of complex AI/ML, LLM, RAG, and agentic workflow components.\n\nDesign, build, integrate, deploy, and operate production AI/ML and LLM-based services for legal research, analytics, and content use cases.\n\nImplement RAG, semantic search, embeddings-based retrieval, ranking, summarisation, classification, content enrichment, and citation-aware AI capabilities where appropriate.\n\nDesign and implement agentic workflows, tool orchestration, and multi-step AI processes that are reliable, traceable, and governed.\n\nIntegrate AI/ML capabilities with enterprise systems, APIs, databases, data platforms, content repositories, legacy applications, internal services, and AWS-hosted services.\n\nEstablish evaluation and quality controls for accuracy, groundedness, citation quality, hallucination risk, agent task success, latency, cost, reliability, and business value.\n\nSuccessfully implement development processes, coding best practices, code reviews, MLOps practices, and responsible AI controls.\n\nApply AI-assisted development tools to reduce software development cycle time and support code explanation, test generation, refactoring, debugging, documentation, code review, migration planning, and legacy system analysis.\n\nResolve complex technical issues related to AI/ML services, data flows, system integration, model behaviour, production support, and operational reliability.\n\nMentor and/or train engineers as directed by department management, ensuring they are knowledgeable in critical aspects of AI/ML engineering, MLOps, SDLC practices, and responsible use of AI-assisted development tools.\n\nKeep abreast of relevant technology developments in machine learning engineering, LLMs, agentic workflows, AWS cloud services, responsible AI, and software engineering practices.\n\nEnsure AI/ML solutions align with enterprise data governance, security, privacy, responsible AI, and operational standards.\n\nAll other duties as assigned.\n\nRequirements:\nQualifications -\nSignificant hands-on experience in machine learning engineering, software engineering, data engineering, or a related technical discipline.\n\nExperience designing, building, deploying, and operating ML, AI, LLM, or data-driven systems in production.\n\nExperience integrating AI/ML services with enterprise systems, APIs, databases, data platforms, legacy applications, or internal services.\n\nExperience working with cross-functional teams to understand business processes, data flows, content repositories, integration points, and operational constraints.\n\nExperience working with AWS or cloud-hosted production environments.\n\nEquivalent technical experience or education considered.\n\nTechnical Skills-\nStrong Python development skills for machine learning engineering, data processing, automation, service development, and production AI/ML workflows.\n\nStrong software engineering background, including system design, APIs, distributed systems, automated testing, code review, maintainability, reliability, and production support.\n\nStrong understanding of ML engineering and MLOps practices, including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support.\n\nPractical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability.\n\nExperience with agentic workflows, tool orchestration, and multi-step AI processes.\n\nStrong AWS knowledge, including cloud-hosted applications, data services, security controls, logging, monitoring, and production support.\n\nStrong understanding of SDLC practices, including requirements analysis, design, implementation, automated testing, code review, secure coding, deployment, and production support.\n\nStrong understanding of responsible AI practices, including evaluation, traceability, secure data handling, model governance, human oversight, and risk management.\n\nAbility to work with structured, semi-structured, and unstructured data sources.\n\nAbility to understand legacy systems, domain processes, data flows, and integration constraints.\n\nPractical experience using AI-assisted development tools such as GitHub Copilot, Codex, Claude, or similar tools to improve software delivery.\n\nStrong problem-solving skills, including identifying, researching, troubleshooting, and resolving complex technical, data, and integration issues.\n\nStrong communication and technical writing skills, including the ability to explain ML and engineering concepts clearly to technical and non-technical stakeholders.\n\nDesirable experience with Docker, Kubernetes/K8s, AWS EKS or ECS, Terraform, or similar cloud deployment technologies.\n\nDesirable working knowledge of C#/.NET and SQL Server, particularly for integration with enterprise or legacy systems.\n\nDesirable experience with event-driven architecture, messaging, queues, asynchronous processing, retries, idempotency, and failure handling.\n\nDesirable experience with legal content systems, LegalTech, publishing platforms, case law, citation systems, legal research workflows, XML/XSLT, structured content processing, search, ranking, indexing pipelines, or content enrichment.\n\nWhy Join Us?\nJoin our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.\nWork in a way that works for you\nWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.\nWorking flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.\n\nWorking for you\nWe know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:\nGenerous holiday allowance with the option to buy additional days.\n\nHealth screening, eye care vouchers, and private medical benefits\n\nWellbeing programs\n\nLife assurance\n\nAccess to a competitive contributory pension scheme\n\nSave As You Earn share option scheme.\n\nMaternity, paternity, and shared parental leave\n\nEmployee Assistance Programme\n\nAccess to employee resource groups with dedicated time to volunteer.\n\nAccess to extensive learning and development resources\n\nAccess to employee discounts scheme via Perks at Work\n\nAbout the business -\nAt LexisNexis GTO, you'll have the opportunity to work on business-critical products while leveraging some of the latest AI and software engineering technologies. We actively invest in developer productivity tools such as GitHub Copilot, ChatGPT, and Codex, and provide regular training, workshops, office hours, and communities of practice to help engineers continually develop their skills.\nOur engineers are encouraged to innovate and experiment with emerging technologies, including AI-powered solutions, agentic workflows, modern cloud platforms, and intelligent content systems that directly impact our products and customers.\nGTO fosters a strong culture of learning and collaboration through initiatives such as the Development Guild, Search & AI Guild, technical communities, engineering showcases, and regular knowledge-sharing events where teams learn from one another and share best practices.\nAs part of a global technology organisation, you'll gain exposure to colleagues, products, and initiatives across multiple regions, supported by regular GTO and AI & Platforms town halls that provide visibility into company strategy, innovation, and senior leadership priorities.\nBeyond technical growth, LexisNexis and RELX provide a wealth of professional development opportunities through structured learning programmes, leadership development, wellbeing initiatives, and extensive learning resources to help employees grow throughout their careers.\n\nWe know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Clickhereto access benefits specific to your location.\nWe are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.\nCriminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scamshere.\nPlease read our Candidate Privacy Policy.\nWe are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.\nUSA Job Seekers:\nEEO Know Your Rights.","description_format":"text","description_chars":10902,"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":["Parental leave","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","Exhibitions","Legal Software","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-08-18T00:00:00Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Graduate Trainee, Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Graduate Trainee; Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-17T06:21:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.438,"p_room":0.28,"age_days":60,"expected_fill_days":30,"reasons":["conf:24","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/relx-machine-learning-engineering-lead","json_url":"https://alion.io/job/relx-machine-learning-engineering-lead.json","meta":{"generated_at":"2026-10-18T12:31:06Z","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_verified","counted_by":"address","units_charged":1,"used_today":18483,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":3770},"rest":"https://alion.io/mcp/rest/get_company?id=3770"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frelx-machine-learning-engineering-lead"},{"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%2Frelx-machine-learning-engineering-lead"},{"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%2Frelx-machine-learning-engineering-lead"},{"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/relx-machine-learning-engineering-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frelx-machine-learning-engineering-lead"}]}