Expire in: 25 days
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
Do not include the following in your job application, CV, or cover letter:
You should not be asked for payment or irrelevant information. If you have concerns about a job advert or employer, seek guidance on how to proceed.
Looking for your next career move? Join a top company hiring Machine Learning Consultant | Cambridge | Consultancy job near me in Cambridge! This is your chance to work on exciting projects, grow professionally, and enjoy a rewarding career with competitive pay and excellent benefits. Whether you're an experienced professional or looking to take the next step, this role offers the perfect opportunity to enhance your skills and make an impact. Don’t miss out—apply today via Vita CV and take your career to the next level!
© Vita CV: Registered in England and Wales (16187919).
Vita CV uses cookies to enhance your experience, analyze site traffic, and personalize content. By continuing to browse, you agree to our use of cookies.