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Regent Street 65, Cambridge
£80,000 - 80,000
Requirements
Must:
- Strong track record in AI/ML development and workflows.
- Proven ability to design and optimise workflows for large-scale systems.
- Solid hands-on coding experience (C/C++, Fortran, or similar) with complex, scalable systems.
- Experience with HPC environments and parallelisation techniques (MPI, OpenMP).
- Excellent communication skills, with the ability to work confidently with technical and non-technical audiences.
- Experience engaging with a range of stakeholders, from academic researchers to commercial partners.
Desirable Experience:
- Knowledge of heterogeneous parallel programming (CUDA, OpenCL, SYCL).
- Familiarity with large language models (LLMs) and their applications.
- Experience delivering training, seminars, or public engagement activities.
Responsibilities
- Lead technical development on AI workflows, optimisation, and large language models (LLMs).
- Collaborate with researchers, industry partners, and non-technical stakeholders to understand needs and deliver effective AI solutions.
- Provide outreach and training, helping users across the UK to make the most of advanced AI resources.
- Play a hands-on role in coding, testing, and optimising AI applications in high-performance computing environments.
- Contribute to the design and delivery of strategic roadmaps for AI research infrastructure.
- Support and mentor a team of software engineers, ensuring high standards of technical excellence.
Description
We are seeking an exceptional AI Research Engineer to take on a pivotal role in shaping the future of Artificial Intelligence in the UK. This position is at the heart of a national initiative, working with academic and commercial organisations as well as research bodies to harness the power of the largest AI machines in the country. This is a varied and high-impact role. We offer a permanent role with excellent opportunities to shape the future of UK AI research and innovation. Our hybrid working policy allows for 1-2 days a month at various sites. You will have the chance to work with the largest AI machines in the UK and contribute to projects with national and international impact. Please note, the successful candidate will be required to undergo a Disclosure and Barring Service (DBS) check as part of the pre-employment service, and applicants must have full rights to work in the UK; visa sponsorship is not available for this position.
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You can find Machine Learning Engineer salaries in the UK here.
How many Machine Learning Engineer jobs are in the UK?
Currently, there are 941 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the UK a good place for Machine Learning Engineers?
The UK is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the UK?
ApplianSys, u-blox, Serac Group, Cencora, Unisys, BAE Systems, NTT Data UK among others, are currently hiring for ML, AI roles in the UK.
The company with most openings is Hays as they are hiring for 34 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Hays as they are hiring for 34 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.