What types of machine learning roles are common in Oxford?

Common roles include Machine Learning Engineers, Researchers, and Data Scientists, focusing on both theoretical and applied aspects of machine learning.

Are there many opportunities for remote work in Oxford?

While many roles in Oxford are on-site, there are increasing opportunities for hybrid and remote work, especially in tech scaleups and startups.

What are the typical industries hiring for machine learning roles in Oxford?

The University of Oxford, tech scaleups, and research-heavy startups are the primary employers, with a growing presence from larger consultancies and tech firms.

How does the salary for machine learning roles in Oxford compare to other UK cities?

Salaries in Oxford are competitive and often reflect the high cost of living. For specific salary ranges, refer to the salary section on this page.

Machine Learning Jobs in Oxford

Oxford is a hub for cutting-edge machine learning research and development, home to world-class universities and innovative tech companies.

Open roles

Salary range

£45k – £160k

Hiring companies

View 5 live roles → Get an alert

Oxford is renowned for its academic excellence and is a key player in the UK's machine learning ecosystem. The city hosts a vibrant community of researchers, engineers, and startups, making it an ideal location for those looking to advance their careers in machine learning. Major employers include the University of Oxford, with its prestigious departments and research centres, as well as a growing number of tech scaleups and established companies. The local job market is dominated by roles that focus on building, training, and deploying machine learning models, with a strong emphasis on both theoretical research and practical applications.

Salary on the board

£45k – £160k

Based on advertised midpoints across the 5 priced listings posted in the last 12 months. Base salary only.

By seniority

£k base

Junior

1 job

Mid

1 job

Senior

112

1 job

Lead

112

1 job

Live jobs

5 live roles

Senior Machine Learning Engineer

Design and build privacy-preserving generative AI systems within a regulated insurance context, translating research into production-grade components. Work across the full ML lifecycle, integrating secure AI solutions into sovereign infrastructure with strong emphasis on data privacy, compliance, and cross-partner collaboration.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa

Hybrid Permanent

Lead Machine Learning Engineer

This role involves leading a team of machine learning engineers while maintaining hands-on technical contributions to ML system design, deployment, and continuous improvement. The position shapes engineering best practices, mentors junior staff, and leads cross-functional teams through the full lifecycle of AI/ML projects—from discovery to production. It also includes supporting pre-sales efforts and ensuring robust, scalable solutions are delivered with clear communication to non-technical stakeholders.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £81,322 – £112,488 pa

Hybrid Permanent

Machine Learning Engineer (Computer Vision)

This role involves designing, training, and deploying computer vision models across the full machine learning lifecycle. You will work closely with engineers, data scientists, and domain experts to build production-ready systems and evaluate model performance.

Platform Recruitment Oxford, Oxfordshire, United Kingdom £85,000 – £160,000 pa

Software Engineer (AWS, Python, C#/C++, CFD/FEA)

In this role, you will develop core modules for an engineering design platform, integrate them into a cloud compute environment, and streamline complex engineering processes through high-quality automation. You will work in a fast-paced, innovative environment with a focus on solving unique challenges and pushing the boundaries of high-performance component design.

HAYS Specialist Recruitment Oxford, United Kingdom £45,000 – £68,000 pa

Hybrid Permanent Flexible

Machine Learning Engineer 1

This role involves developing and maintaining machine learning systems within a privacy-preserving AI ecosystem for the insurance sector. The engineer will translate research into production-grade solutions, focusing on secure deployment, data anonymisation, and compliance with regulatory standards. Collaboration with internal teams and external partners is key, particularly in integrating AI components into sovereign infrastructure and operational workflows.

Aioi Nissay Dowa Europe Oxford, Oxfordshire, United Kingdom £69,350 – £83,386 pa

Hybrid Permanent

The scene

Hiring in Oxford

Oxford's strong academic foundation and innovative tech scene make it a prime location for hiring in machine learning. Companies here value a blend of theoretical knowledge and practical skills, often seeking candidates with a strong research background.

The city's collaborative environment fosters interdisciplinary projects, where machine learning experts work alongside specialists in fields like healthcare, finance, and environmental science. This diversity of applications makes Oxford a dynamic and exciting place to build a career in machine learning.

FAQs

Common questions

Common roles include Machine Learning Engineers, Researchers, and Data Scientists, focusing on both theoretical and applied aspects of machine learning.
While many roles in Oxford are on-site, there are increasing opportunities for hybrid and remote work, especially in tech scaleups and startups.
The University of Oxford, tech scaleups, and research-heavy startups are the primary employers, with a growing presence from larger consultancies and tech firms.
Salaries in Oxford are competitive and often reflect the high cost of living. For specific salary ranges, refer to the salary section on this page.

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