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
15
Salary range
£38k – £128k
Hiring companies
12

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

£38k – £128k

Based on advertised midpoints across the 9 UK listings priced in pounds in the last 12 months. Base salary only.

Salary visibility
26% of listings advertise a salary.
Live jobs

15 live roles

See all 15 roles

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

AI Engineer

This role involves leading the technical delivery of AI, Machine Learning, and Algorithmic solutions for complex Defence and Security projects. Responsibilities include acting as a technical lead, providing oversight, and working directly with customers to define requirements and deliver innovative solutions.

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

Performance Engineer (Junior) | AI Infrastructure | Cambridge

Performance Engineer (Junior) | AI Infrastructure | Cambridge (Hybrid) | up to £70k Most engineers find out whether a change works after it ships. This role is about knowing before anyone spends a penny on new hardware, building the models...

Pure Resourcing Solutions Dry Drayton, Cambridgeshire, United Kingdom £55,000 – £70,000 pa
Hybrid

Senior Performance Engineer | AI Infrastructure | Cambridge

This role involves working between research and engineering teams to build performance models and calculators for AI infrastructure. You'll optimize GPU/accelerator code, profile real training and inference runs, and provide actionable insights that influence system architecture and procurement decisions for the organization and its members.

Pure Resourcing Solutions Dry Drayton, Cambridgeshire, United Kingdom £90,000 – £120,000 pa
Hybrid
Isomorphic Labs logo

Research Leader (Toxicology), Cambridge, MA

Lead toxicology strategy for drug discovery projects using an AI-first approach, guiding safety assessment from early discovery to regulatory submission. Develop predictive toxicology models in collaboration with machine learning teams and external CROs. Mentor team members and contribute to reducing animal testing through innovative, data-driven methodologies.

Isomorphic Labs Cambridge, United Kingdom

ML Data & Platform Engineer

This role focuses on building and maintaining scalable data pipelines and ML infrastructure for training and serving speech AI models. You'll work across the full stack—from data ingestion and web scraping to model deployment and observability—ensuring high-quality, reliable data flows and efficient training workflows. The position emphasizes end-to-end ownership of MLOps systems within a distributed, cross-functional ML team.

Speechmatics Cambridge, United Kingdom
Isomorphic Labs logo

Research Leader (DMPK), Cambridge, MA

Leads DMPK strategy in drug discovery projects, integrating AI-first approaches to optimize ADME and toxicology models. Designs screening cascades and interprets DMPK, PD, and safety data to guide candidate selection. Collaborates with chemistry, pharmacology, and AI teams to advance molecules from hit identification to clinical development.

Isomorphic Labs Cambridge, United Kingdom
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.

Hiring in this cluster?

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