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
4
Salary range
£60k – £150k
Hiring companies
4

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

£60k – £150k

Based on advertised midpoints across the 3 priced listings posted in the last 12 months. Base salary only.

Live jobs

4 live roles

Quantity Surveyor

This role involves traditional quantity surveying and estimating duties on residential construction projects, including cost estimation, BOQ preparation, and project cost management. The individual will also lead the adoption of AI-driven tools in estimating and surveying workflows, working closely with the commercial team to pilot new technologies and train predictive models using historical project data. It's a unique blend of core construction commercial work and innovation in AI integration.

Fetch Recruit Oxford, Oxfordshire, United Kingdom £55,000 – £75,000 pa
Hybrid Permanent

Porsche Regional Pre-Owned Development Manager

Porsche Regional Pre-Owned Development ManagerLocation: Based in and around South of England Salary: £55k (OTE £70K) + Company CarContract: Full-time, PermanentDo you want to boost the future towards a safe, secure and sustainable worldAt DEKRA we deal with future topics...

Porsche Horspath, Oxfordshire, OX33 1RT, United Kingdom

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

Roles further afield

A little outside Oxford, but within reach.

NVIDIA logo

Senior Software QA Test Development Engineer

This role involves developing and automating test frameworks for a large-scale distributed system used across NVIDIA teams. You'll create test plans, automate validation for UIs, APIs, and performance, and integrate testing into CI/CD pipelines. A key focus is leveraging AI and LLMs to enhance test automation, including prompt engineering, fine-tuning models, and building AI-powered test generation tools, with strong collaboration across engineering groups to improve QA efficiency and product quality.

NVIDIA Reading, United Kingdom
Hybrid Permanent

Forward Deployed Engineer, Agentic Platform

This role involves building and deploying autonomous AI agents on Cohere's North platform, integrating them with enterprise data and workflows. You'll work closely with client engineering teams to deliver secure, high-performance agentic applications in sectors like finance and healthcare. The role spans the full product lifecycle, from concept to production, with a focus on rapid experimentation and customer-driven development.

Cohere Shinfield, RG2 9BT, United Kingdom
Hybrid Permanent
NVIDIA logo

Senior Embedded Architect Manager

Lead the design and implementation of security architecture for next-generation NVIDIA Networking products, combining hardware and software solutions. Drive innovation in secure computing platforms using hardware security primitives and collaborate across internal teams and external partners. Focus on embedded systems, low-level firmware, and secure boot architectures with a strong emphasis on research, standards compliance, and threat mitigation.

NVIDIA Reading, United Kingdom
On-site Permanent
NVIDIA logo

Principal AI Developer Technology Engineer

Research and develop GPU-accelerated techniques for deep learning, machine learning, and AI workloads, focusing on performance optimization across CPU and GPU architectures. Collaborate with experts in industry and academia to analyze and enhance complex AI and HPC algorithms. Contribute to shaping next-generation hardware and software by influencing design through deep technical insights and published findings.

NVIDIA Reading, United Kingdom
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.

Hiring in this cluster?

Post your role in 90 seconds and reach the specialist audience that already reads this page.