Machine Learning Consultant | Cambridge | Consultancy

The candidate should meet the following requirementsJob DescriptionRole DescriptionThe ideal candidate will haveAbout 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.Benefits10% employer pension contribution (+3% personal)Private medical insurance for you and your familyLife insurance25 days annual leave plus bank holidaysEnhanced family leaveElectric vehicle leasing & cycle-to-work schemeAccess to social and sports clubs, on-site gym, and local discountsYou will need to be eligible for UK security clearance for this role.