AI/ML Research Consultant

AI/ML Research Consultant | Cambridge | Defence & Security

My client, a research and technology consultancy is looking for an AI/ML Research Consultant to join its growing team, working on challenging projects across AI, machine learning and emerging technology within the defence and security sector.

This is a highly varied R&D role, covering everything from early-stage research and proof-of-concepts through to developing and deploying working prototypes.

The role

• Researching emerging AI/ML techniques and generating new ideas
• Developing and training ML models for novel applications
• Rapid prototyping, experimentation and troubleshooting
• Designing experiments and analysing results
• Developing recommendations and presenting findings
• Working directly with clients to understand requirements and deliver technical solutions

About you

• A strong degree in Computer Science, Mathematics, Physics, Engineering or a related discipline
• Research experience or demonstrated research potential
• Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, Keras or JAX
• Experience across a range of ML techniques, or the ability to quickly learn new areas
• A rigorous, scientific and creative approach to problem solving
• Strong communication skills and the ability to work independently and collaboratively
• Defence and security
• Edge AI / resource-constrained ML
• Model optimisation and deployment to specialist hardware
• CUDA, FPGA or embedded systems
• Generative AI
• AI-based or agentic tools
• Client-facing technical consultancy

What’s on offer

• Annual performance/profit-related bonus
• Employer pension contribution
• Private medical insurance
• Life insurance
• Relocation support where applicable
• Additional wellbeing, travel and lifestyle benefits

Location: Cambridge area

Working pattern: Full-time, predominantly/on-site

This is an excellent opportunity for an AI/ML researcher or engineer looking to work on technically challenging, high-impact projects within a collaborative R&D environment.

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