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# Senior Software Engineer - MLOps

- **Company:** AIOI R&D Lab - Oxford
- **Location:** Oxford, UK (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, Clean Code Principles, Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Integration, Information Engineering, Data Security, Python (Programming Language), Machine Learning, NumPy, Commercial Software, Large Language Models, Agentic-AI, Pandas, Containerization, Core Data, Scikit Learn, Kubernetes, CrewAI, AutoGen, Machine Learning Operations, Terraform, Software Version Control, Data Pipelines, KServe
- **Published:** October 2, 2026
- **Apply:** https://jobsthamesvalley.co.uk/jobs/apply/ats-redirect/?id=2998927205-2

## About the Role

* 5+ years of commercial software experience, with a track record of shipping maintainable code in a team.
 * Solid Python, including the core data/ML libraries (pandas, numpy, scikit learn) and good instincts on structure, testing, and packaging.
 * Practical cloud infrastructure experience, including deploying services, managing storage, and working with access controls. AWS preferred, but strong experience with another provider counts.
 * Familiarity with Kubernetes and Helm, and comfort with CI/CD, version control, and containerisation as everyday tools.
 * Some exposure to ML infrastructure or data engineering, such as training pipelines, model serving, experiment tracking, or data pipelines.
 * The ability to explain what you've built, why, and what trade offs you made.

## Description

You'd join a small, technically strong engineering team, led by an experienced Technical Lead, building the infrastructure that CODAS runs on: secure cloud infrastructure, ML model serving and training pipelines, and agentic development tooling. This is a hands on infrastructure and platform role with genuine room to grow into more senior technical responsibility as the programme scales.

We're not expecting you to already have deep experience across every part of this stack. We're looking for a strong engineer with solid fundamentals, who picks up new tools fast and cares about building things that work reliably and responsibly.

What you'll do

 * Help design, build, and run the cloud infrastructure behind a privacy preserving AI research programme, working under the Technical Lead.
 * Build model hosting and training infrastructure, secure data storage, and agentic development tooling that the research tracks depend on.
 * Write clean, well tested, maintainable code, and contribute to shared engineering standards, CI/CD, and documentation.
 * Support integration with partner environments and research workflows, troubleshooting issues as they come up.
 * Get stuck into technical trade offs, ask good questions, and learn fast as tools and requirements evolve., LLM serving/fine tuning (even personal projects), agentic AI frameworks (LangGraph, AutoGen, CrewAI), Kubeflow/KServe, GitOps/IaC (Flux, Terraform), or an interest in privacy preserving techniques.
 * A genuinely hands on infrastructure role on a high profile sovereign AI programme, not a ticket queue.
 * Room to grow: the stack isn't fully fixed, so there's real scope to shape it and grow your seniority alongside the programme.
 * Work directly with Oxford's research network and an ambitious international partner group, not several layers removed from the interesting problems.
 * This is a fixed term contract tied to CODAS's current funding cycle, but there's a genuine intent to extend and move roles to permanent as a second funding round is confirmed. It isn't a contract designed to end.