{"id":3223072,"url":"https://alion.io/job/relx-senior-mlops-engineer-2","title":"Senior MLOps Engineer","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":"A","score":86,"open_postings":125,"ghost_share":0,"stale_share":0.568,"repost_share":0.008,"time_to_fill_p50_days":40,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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":94000,"max_usd":168000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Neo4j","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenSearch","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scala","optional":false},{"name":"Semantic Search","optional":false},{"name":"Spark","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-27T20:24:08Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Senior MLOps Engineer\nAre you passionate about building scalable, reliable machine learning platforms that bring AI models into production?\nDo you thrive on automating ML workflows, optimising model performance, and creating robust MLOps solutions at scale?\nAbout the team:\nJoin the team that powers Elsevier’s research platforms-Scopus/Scopus AI, ScienceDirect/ScienceDirect AI, and journal submission & peer review workflows.\nAbout the role:\nYou will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world’s largest scholarly corpora, so you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.), search/ranking quality, and knowledge graph-aware retrieval while enforcing content rights and editorial confidentiality. \nAs a Senior MLOps Engineer, you should be able to define the scope of a project with support of managers and execute that project independently. Individuals in this role can also support the development and training of junior staff. Senior Data Scientist I should be self-sufficient in executing basic methods, and work within their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.\nKey Responsibilities:\n· Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)\n· Maintain and version model registries and artifact stores to ensure reproducibility and governance\n· Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment.\n· Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML.\n· End-to-end custom SageMaker pipelines for recommendation systems.\n· Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted\n· Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs\n· Build evaluation pipelines: offline IR metrics (e.g., NDCG, MAP, MRR), LLM quality metrics (e.g., faithfulness, grounding), and A/B testing.\n· Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization\n· Stay current with the latest GAI research, NLP, and RAG, and apply the state-of-the-art in our experiments and systems\nCollaboration\n· Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions\n· Collaborate and interface with Operations Engineers who deploy and run production infrastructure.\nRequirements:\n· Extensive experience ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production.\n· Strong Python, Java, and/or Scala engineering\n· Experience with statistical analysis, machine learning theory and natural language processing\n· Hands-on- experience with major cloud vendor solutions (AWS, Azure and/or Google)\n· Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr/ Neo4j).\n· Experience in evaluating LLM models\n· Background with scholarly publishing workflows, bibliometrics, or citation graphs\n· A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics\n· Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark\n· Experience with large-scale data processing systems, e.g., Spark\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.\n· Working 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.\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:\nComprehensive Pension Plan\nGenerous vacation entitlement and option for sabbatical leave\nMaternity, Paternity, Adoption and Family Care leave\nInternal communities and networks\nVarious employee discounts\nRecruitment introduction reward\nEmployee Assistance Program (global)\nAbout the business-\nA global leader in information and analytics, we help researchers and healthcare professionals’ advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.\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":6534,"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":["Generous vacation","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","Exhibitions","Legal Software","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-25T04:16:11Z"}],"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":"2026-10-27T06:21:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":40,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/relx-senior-mlops-engineer-2","json_url":"https://alion.io/job/relx-senior-mlops-engineer-2.json","meta":{"generated_at":"2026-10-28T00:41:20Z","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":815,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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-senior-mlops-engineer-2"},{"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-senior-mlops-engineer-2"},{"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-senior-mlops-engineer-2"},{"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-senior-mlops-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frelx-senior-mlops-engineer-2"}]}