9 of 9 Permanent MLOps Jobs in Oxford

Senior Machine Learning Engineer

Location
Oxford, England, United Kingdom
data‐driven systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/CD and service‐oriented deployment practices. Experience working across ...

Senior AI Software Engineer

Location
Oxford, England, United Kingdom
infrastructure Desirable attributes Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme ...

Principal Software Engineer (AI)

Location
Oxford, England, United Kingdom
infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle‐to‐work ...

Senior Software Engineer (AI)

Location
Oxford, England, United Kingdom
infrastructure Desirable attributes: Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme ...

Lead Software Engineer (AI)

Location
Oxford, England, United Kingdom
infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme ...

Lead Machine Learning Engineer

Hiring Organisation
Aioi Nissay Dowa Europe
Location
OX2, Oxford, Oxfordshire, United Kingdom
Employment Type
Permanent
Salary
£81322 - £112488/annum
technical delivery while also leading multiple projects or workstreams in parallel. Desirable • Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. • Experience in regulated, enterprise or operationally complex environments. • Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. • Experience ...

Senior ML Engineer - Hybrid, Privacy-Preserving GenAI

Location
Oxford, England, United Kingdom
CODAS project and related initiatives at AND-E Lab. Ideal candidates have 5+ years in ML/AI, strong Python, cloud/MLOps experience, and a collaborative mindset to work with partners and stakeholders across experiments and #J-18808-Ljbffr ...

Senior ML Engineer: Privacy-Preserving GenAI, Hybrid

Location
Oxford, England, United Kingdom
Learning Engineer to translate research into robust, production‐ready ML services within a privacy‐sensitive, multi‐partner environment. You will set ML engineering and MLOps direction for CODAS workstreams and lead how research gets built, tested, and shipped. Oxford hybrid is preferred, though we’d consider fully remote ...

Senior Machine Learning Engineer

Location
Oxford, England, United Kingdom
turn it into something dependable enough to run in a live, privacy-sensitive, multi-partner environment. You'll set the ML engineering and MLOps direction for your workstreams and act as technical lead on how research gets built, tested, and shipped. What you'll do Lead the ML engineering … MLOps direction for assigned CODAS workstreams. Design, build, test, and maintain the ML services, data pipelines, evaluation tooling, and deployment-ready applications that make up the programme's technical deliverables. Translate research outputs into systems that are actually robust and maintainable, not just proofs of concept. Adapt AI/ ...