Machine Learning Consultant | Cambridge | Consultancy

About the role:

Join a mission-focused technology consultancy delivering breakthrough AI and machine learning solutions to complex, real-world problems. You will apply your curiosity, creativity, and rigour to design and deploy ML systems across diverse projects, working in multi-disciplinary teams of highly skilled scientists and engineers.

In this role, you will:

Research, design, and build ML models, pipelines, and systems, often in novel or resource-constrained environments.
Rapidly prototype and test feasibility while moving concepts toward client-ready demonstrators and deployable products.
Solve problems across the entire ML development cycle: ideation, data preparation, model development and refinement, and packaging for deployment.
Collaborate across engineering and scientific domains to explore pioneering technologies and deliver impactful solutions.What they're looking for:

A 2:1 or above in a relevant discipline (Physics, Maths, Engineering, Computer Science, or similar). Advanced degrees or equivalent R&D experience are highly valued.
Strong Python programming skills.
Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX.
Experience designing ML solutions in novel problem spaces or constrained environments (e.g., edge processing).
Familiarity with a broad range of ML techniques (computer vision, generative models, audio processing, etc.), or the ability to adapt quickly to new areas.
Exposure to GPU programming (e.g., CUDA) is a plus.
Ability to communicate complex technical ideas clearly to colleagues and stakeholders.Client-facing experience or a willingness to engage with stakeholders and project teams is highly desirable.

Why join?
Work on projects that have meaningful real-world impact.
Contribute ideas in a flat, collaborative environment that values openness and innovation.
Access well-equipped labs and modern offices with on-site amenities.
Benefit from clear opportunities for growth into project leadership or client-facing roles, supported by experienced peers.Benefits
10% employer pension contribution (+3% personal)
Private medical insurance for you and your family
Life insurance
25 days annual leave plus bank holidays
Enhanced family leave
Electric vehicle leasing & cycle-to-work scheme
Access to social and sports clubs, on-site gym, and local discountsYou will need to be eligible for UK security clearance for this role