Senior Machine Learning Engineer, Oxfida

18 month FTC - Research Project (privacy-preserving generative AI ecosystem)

£80-110k

Python

Senior and Expert level

Oxford

Remote from UK

Developing advanced AI capabilities to tackle risk across increasingly complex systems

Open for applications

Developing advanced AI capabilities to tackle risk across increasingly complex systems

21-100 employees

B2BArtificial IntelligenceInsuranceMachine Learning

Open for applications

£80-110k

Python

Senior and Expert level

Oxford

Remote from UK

21-100 employees

B2BArtificial IntelligenceInsuranceMachine Learning

Company mission

To harness AI to understand, predict, and manage risk, helping build a safer, more resilient society.

Job

Company

Role

Who you are

A STEM degree (Computer Science, Maths, Stats, Physics, Engineering, or similar) or equivalent practical experience, plus 5+ years' relevant experience
Very strong Python engineering skills: clean, tested, well-documented code, not just working code
A track record of shipping ML/AI or data-driven systems into production or near-production environments
Solid experience with Linux, Docker, version control, CI/CD, and service-oriented deployment
The ability to work across the full lifecycle, from experimentation through to integration and operationalisation, and to mentor others along the way

What the job involves

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 Engineer your job is to take what the research side proves works and 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
Lead the ML engineering and 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/ML approaches for privacy-sensitive, security-conscious, regulated deployment contexts
Improve the Lab's internal tooling, engineering standards, and reusable frameworks: the kind of work that outlasts any one project
Mentor ML engineers and research associates, and communicate technical trade-offs clearly to non-technical stakeholders

Our take

Founded in partnership with Japanese-founded insurance company Aioi Nissay Dowa, Oxfida is an R&D company researching the applications of AI within the insurance and risk analysis industry.

Oxfida collaborates with professors, researchers, graduates, and Oxford University spinout companies to help build a safer and more resilient society. It does this through pioneering research into emerging risks that affect the insurance and risk analysis market, such as the supply chain, nature, and self-driving vehicles. It focusses on technologies such as agentic AI, complex system modelling and quantum technologies and their potential uses within this space.

The applications of Oxfida's research are manifold. Its partnership with one of the world’s leading insurance companies provides unparalleled scope and scale for the small team’s research. With this kind of support, and AI’s high suitability as a predictive model in risk and insurance, it’ll be exciting to see what grows out of this well-backed R&D venture.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Company benefits

Annual Leave - minimum 25 days + bank holidays
Private Medical Insurance
Pension Scheme
Health Cash Plan

Company HQ

City of London, London, UK

Leadership

Junichi Ikegami

(Co-CEO)

Mike Krefta

(Chair and Co-CEO)

Davide Zilli

(CTO)

People progressing

Bernardo Perez Orozco

From PhD intern to Director of AI Delivery — Bernardo grew his career and our team.

Harriet Bensted

Harriet joined Mind Foundry as a Project Manager in 2020. She's now Head of Project Management at the Aioi R&D Lab, continuing to grow her team here!

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