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

£48k – £146k

Hiring companies

View 4 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

£48k – £146k

Based on advertised midpoints across the 4 UK listings priced in pounds 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

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

Roles further afield

A little outside Oxford, but within reach.

Senior Solutions Architect, Higher Education and Research

Act as a trusted technical advisor to academic and research institutions, driving adoption of NVIDIA's accelerated computing and AI technologies. Collaborate on high-impact research projects at supercomputing scale, integrate NVIDIA frameworks into scientific workflows, and deliver training and technical content. Bridge researcher needs with product development by prototyping solutions and providing feedback to engineering teams.

NVIDIA Reading, United Kingdom

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

This role involves partnering with academic and research institutions to advance AI and HPC initiatives using NVIDIA's accelerated computing platforms. The Solutions Architect will guide researchers in integrating NVIDIA technologies into large-scale projects, particularly around large language models and open models. Responsibilities include technical advocacy, hands-on training, prototyping solutions, and bridging research needs with product development through direct feedback to engineering teams.

NVIDIA Reading, United Kingdom

Graduate Computer Scientist

This role involves working on advanced R&D projects in surgical robotics, developing complex systems from the ground up. The candidate will collaborate closely with multidisciplinary engineers, applying strong software and mathematical skills in C++, Python, and JavaScript. Image processing, computer vision, and robotics experience are beneficial for tackling technically challenging problems in a small, innovative team environment.

Career Smart Consulting Ltd Aston Clinton, Buckinghamshire, United Kingdom £30,000 – £40,000 pa

Solutions Architect, CSP GTM

Design and demonstrate GPU-accelerated solutions leveraging NVIDIA and GCP technologies for generative AI and machine learning workloads. Collaborate with developers, data scientists, and technical leaders to optimize training and inference pipelines on hyperscaler infrastructure. Act as a technical bridge between NVIDIA, Google Cloud, and enterprise customers to drive adoption of accelerated computing in AI.

NVIDIA Reading, United Kingdom

Computer Scientist

This role involves developing a novel surgical robotics system through close collaboration with multidisciplinary engineers. The computer scientist will work on complex, ground-up projects requiring strong skills in C++, Python, and JavaScript, with a focus on mathematical problem-solving. Experience in image processing, computer vision, or robotics is advantageous, and the position operates within a small R&D team of 25, embedded in a larger 300-employee medical technology group.

Career Smart Consulting Ltd Aston Clinton, Buckinghamshire, United Kingdom £35,000 – £50,000 pa

On-site Permanent

Manager, Software Engineering

Lead a software engineering team building and operating Mastercard's Authentication Decisioning platform, a critical component of its global authentication ecosystem. Focus on delivering scalable, secure, and resilient AI-driven decisioning systems for real-time transaction risk assessment and identity verification at massive scale. Emphasis on technical leadership, operational excellence, and cross-functional collaboration in a high-availability environment.

Appcast Enterprise Bray, United Kingdom

Engineer

This role involves maintaining and improving the advanced automated systems at Ocado's Customer Fulfilment Centre in Bicester, including conveyor networks, lifts, and cranes. The Engineer will act as the primary technical contact for resolving critical issues within a 24/7 operational environment. Proactive maintenance, safety compliance, and technical problem-solving are central to the position.

Ocado Cherwell, 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.

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