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Artificial Intelligence Jobs in Cambridge

Cambridge is a global hub for AI research and development, home to leading universities, research institutions, and innovative tech companies.

Open roles
39
Salary range
£48k – £114k
Hiring companies
11
View 39 live roles → Get an alert

Cambridge is renowned for its world-class academic institutions, including the University of Cambridge, which has a strong focus on AI and machine learning. The city is a magnet for both established tech giants and cutting-edge startups, creating a vibrant ecosystem where theoretical research meets practical application. Companies ranging from scaleups to the larger consultancies are actively hiring AI specialists, making Cambridge a prime location for those looking to advance their careers in this field.

Salary on the board

£48k – £114k

Based on advertised midpoints across the 7 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
18% of listings advertise a salary.
Live jobs

39 live roles

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Embedded Machine Learning Engineer | ML/AI | Up to

You will develop intelligent embedded systems using Python, C, and C++, apply machine learning and computer vision to real-world applications, and work with microcontrollers, sensors, and connected hardware. You'll collaborate directly with clients to shape and deliver innovative solutions, taking projects from concept to finished product.

SoCode Impington, Cambridgeshire, United Kingdom £50,000 – £80,000 pa
ECM Selection logo

Computer Vision Physicist

This role involves designing and optimizing optical systems for AI hardware products, including simulations, component selection, and prototype testing. You will work on VIS, NIR, and FIR applications, with a focus on computer vision and machine vision systems.

ECM Selection Cambridge, Cambridgeshire, United Kingdom £45,000 – £75,000 pa

Data Scientist

The Data Scientist will develop tools and workflows to automate data extraction, processing, and analysis, build and maintain data pipelines, and generate meaningful insights and visualisations from complex datasets. They will also apply statistical and machine learning techniques to support product development and present insights to stakeholders.

EVera Recruitment Teversham, Cambridgeshire, United Kingdom

Senior Machine Learning Engineer

This role involves working on complex R&D projects in speech technology, collaborating with a diverse team of engineers, and staying current with the latest developments in machine learning. The focus is on training and deploying advanced speech recognition models, with an emphasis on innovation and best engineering practices.

Speechmatics Cambridge, United Kingdom

Machine Learning Team Lead

As a Machine Learning Team Lead, you will guide a team of ML engineers in developing and deploying cutting-edge speech recognition models. You will mentor the team, ensure robust and scalable solutions, and collaborate cross-functionally to align with business objectives.

Speechmatics Cambridge, United Kingdom

AI/ ML Research Consultant

The role involves applying AI and machine learning to real-world problems, ranging from early-stage research to developing deployable solutions. You will work on a variety of projects, including designing and deploying machine learning systems, conducting experiments, and collaborating with clients to deliver high-quality technical outcomes.

Lynx Recruitment Melbourn, Cambridgeshire, United Kingdom £50,000 – £90,000 pa

AI Engineer

This role involves leading the technical delivery of AI, Machine Learning, and Algorithmic solutions for complex Defence and Security projects. You will work with multidisciplinary teams, provide technical oversight, engage with customers, and contribute to business development and technical standards.

Meritus Cambridge, Cambridgeshire, United Kingdom £50,000 – £90,000 pa

Performance Engineer (Junior) | AI Infrastructure | Cambridge

This role involves working alongside senior engineers to build performance models and calculators for AI infrastructure, predicting the efficiency and cost-effectiveness of different setups. You'll have real ownership and work with cutting-edge technologies like GPU code, profiling tools, and Python, while collaborating with a diverse group of experts in the AI field.

Pure Resourcing Solutions Dry Drayton, Cambridgeshire, United Kingdom £55,000 – £70,000 pa
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Roles hiring here

Roles hiring in Cambridge

The most-listed roles in this cluster right now. Tap through to a role profile when one exists, or to the live search results.

AI Engineer Jobs

£50k – £120k
7 open

Machine Learning Engineer Jobs

£50k – £80k
4 open

AI Research Scientist Jobs

£50k – £90k
3 open

MLOps Engineer Jobs

Role profile
1 open

AI Solutions Architect Jobs

Role profile
1 open
Top hirers

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The scene

Hiring in Cambridge

Cambridge's AI ecosystem is characterised by a strong collaboration between academia and industry. The University of Cambridge and its affiliated research centres are at the forefront of AI innovation, often partnering with tech companies to push the boundaries of what's possible.

The city's tech scene is diverse, with a mix of startups and established firms. Scaleups and research-heavy startups are particularly active, offering opportunities for early-career professionals to grow and contribute to groundbreaking projects. Larger consultancies also have a significant presence, providing a range of roles from pure research to applied AI solutions.

FAQs

Common questions

  • Common roles include AI researchers, machine learning engineers, data scientists, and NLP specialists. Many positions also involve interdisciplinary work with fields like robotics and computer vision.

  • While many companies in Cambridge offer on-site positions, there is a growing trend towards hybrid and remote work, especially in tech-heavy roles. This flexibility can vary by company.

  • Key industries include academia, healthcare, finance, and automotive. Leading universities, research institutions, and tech companies are major employers in the AI space.

  • The AI job market in Cambridge is highly competitive, with a concentration of top talent and a high demand for skilled professionals. Networking and continuous learning are crucial for standing out.

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