Senior Machine Learning Scientist

AIOI R&D Lab - Oxford; Oxford; Hybrid; GBP 110,000 - 150,000; Full time

Job summary

Aioi R&D Lab - Oxford is seeking a Senior Machine Learning Scientist to lead CODAS research tracks in privacy-preserving generative AI. You will shape experimental direction, explore differential privacy, federated learning, and secure inference, and deliver proof-of-concept systems feeding into live deployments.

Collaborate with Oxford and UCLA partners, mentor other ML scientists, and publish papers. Hybrid role in Oxford with remote option for the right candidate; 18-month fixed-term contract

Qualifications

• Master's or PhD in Computer Science, ML, Statistics, Maths, or equivalent.
• Track record in privacy-preserving ML, generative AI, LLMs, or federated learning.
• Strong Python engineering skills and ability to deploy end-to-end ML solutions.

Responsibilities

• Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results.
• Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques.
• Turn research into proof-of-concept systems and deployable components that feed directly into programme deliverables.
• Publish, contributing to papers, technical reports, and conference talks that put the Lab's work in front of the wider AI community.
• Mentor other ML scientists and research associates working alongside you on the programme.
• Work directly with partner organisations to understand real technical constraints, not just theoretical ones.

Skills

Python

ML Research

Differential Privacy

Federated Learning

Secure Inference

Mentoring

Education

Master's or PhD in CS/ML

Tools

PyTorch

TensorFlow

CI/CD

Job description

Aioi R&D Lab - Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society.

We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published.

Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research of our own into agentic AI, privacy-preserving technologies, trustworthy AI, complex systems modelling, and quantum computing.

We build AI products and solutions for insurers, businesses, and public-sector organisations worldwide, and run innovative research projects that push these technologies further, helping people make better decisions in an uncertain world.

Fixed Term Contract:

18-month fixed-term contract from signing (running to at least Feb 2028), with a view to extending (to 3 years) or moving to permanent as a second round of programme funding is confirmed

Location:

Oxford, hybrid preferred, though we'd consider fully remote for the right person

The role

You'd be joining CODAS, our flagship sovereign AI programme, built in partnership with Japanese public and private sector organisations and academic collaborators at Oxford and UCLA. The goal is a privacy-preserving generative AI ecosystem that protects personal and sensitive data by design, through data residency, anonymisation, secure deployment, and privacy techniques that hold up at both training and inference time.

As a Senior Machine Learning Scientist, you'll take technical ownership of research workstreams within CODAS. Rather than just executing a brief, you'll set the experimental direction yourself and push approaches like differential privacy, federated learning, and secure inference beyond what's already out there.

What you'll do

• Own the technical direction of assigned CODAS research tracks, from framing the problem to validating the results.
• Design and build ML approaches for privacy-preserving generative AI, including differential privacy, federated learning, secure inference, and related techniques.
• Turn research into proof-of-concept systems and deployable components that feed directly into programme deliverables.
• Publish, contributing to papers, technical reports, and conference talks that put the Lab's work in front of the wider AI community.
• Mentor other ML scientists and research associates working alongside you on the programme.
• Work directly with partner organisations to understand real technical constraints, not just theoretical ones.

What you'll bring

• A Master's or PhD in Computer Science, ML, Statistics, Maths, or equivalent experience, plus 5+ years in applied ML/AI research or development.
• A genuine track record in privacy-preserving ML, generative AI, LLMs, or federated learning, since this isn't a "learn on the job" role.
• Strong Python engineering skills: ML frameworks, version control, CI/CD, reproducible experiments.
• Comfort working across the full ML lifecycle, from first prototype to something that can actually be deployed.
• Experience mentoring others and the communication skills to explain complex trade-offs to non-technical stakeholders.

Bonus points:

differential privacy or secure computation experience, LLM/agentic AI/frontier AI evaluation work, published research, or experience in regulated industries (insurance, financial services, public sector).

• Real technical ownership on a genuinely novel, high-profile programme, not a support role on someone else's research.
• Direct exposure to Oxford's academic network and CODAS's international partners, not just your immediate team.
• Work that ships. This isn't research for its own sake; it becomes part of a live sovereign AI ecosystem built with Japanese public and private-sector partners.
• 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.