2924 IT & Software Developer jobs in the UK

Mars Recruitment jobs

Edge AI Engineer

£70,000 - 90,000
Mars Recruitment
Meadow Court, Oxford
£70,000 - 90,000
Company Size icon
Company Size
50-200
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Masters or Ph.D. (or equivalent experience) in Data Science, Machine Learning, Artificial Intelligence, or a related field. - Strong proficiency in Python with practical experience of PyTorch or TensorFlow. - Working knowledge of implementing and optimising deep neural networks (e.g. CNNs, Transformers, GNNs). - Hands-on experience with embedded C/C++ for model integration with an understanding of low-latency and low-power constraints in real-time systems. - Awareness of adversarial ML and model robustness techniques. - Understanding of secure-by-design principles and trusted execution concepts for AI on edge devices. - Keenness to work on meaningful problems within the context of UK Defence and Security. - 5+ years of experience in AI/ML systems development (desirable). - Understanding of training-inference workflows, including data preprocessing, model evaluation, and benchmarking (desirable). - Familiarity with hardware accelerators (FPGA, TPU, ASIC, GPU-based inference) (desirable). - Experience with model optimisation techniques: quantisation, pruning, knowledge distillation, and model compression (desirable). - Proficient with Git, CI/CD and Linux-based development environments (desirable). - Ability to document and test code for reproducibility and maintenance (desirable).

Responsibilities

- Designing and optimising ML models to enhance secure communications and signal processing on a range of edge devices. - Implementing low-latency, high-performance deep learning pipelines on hardware accelerators such as FPGA, TPU, and ASICs. - Optimising CNN, Transformer, RNN, and/or GNN architectures for deployment on low-power embedded systems. - Applying quantisation, pruning, distillation, and model compression to enhance efficiency. - Strengthening model robustness against adversarial attacks and system-level security threats. - Collaborating with embedded and security engineers to align AI performance with real-world system constraints.

Description


We are an early stage, fast-paced, and independently funded start-up located in Oxford, dedicated to revolutionising wireless communications through cutting-edge technology. Our talented team, with strong links to the University of Oxford, is on a mission to enable safe and efficient communication systems that will ultimately protect our way of life. We offer a competitive salary ranging from £70,000 to £90,000 per annum, and we are committed to creating a diverse and inclusive work environment, welcoming applications from all qualified individuals.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Machine Learning Engineer salaries in the UK here.

How many Machine Learning Engineer jobs are in the UK?

Currently, there are 2924 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?

The Scouts Association, City of Lincoln Council, Mas & Pas Limited, Una Watch, B&Q, OKTO Integrated Services, CGI among others, are currently hiring for ML, AI roles in the UK.

The company with most openings is Experis as they are hiring for 97 different Machine Learning Engineer jobs in the UK. They are probably quite committed to find good Machine Learning Engineers.