Machine Learning Engineer
We are working in partnership with a leading technology organisation to recruit an experienced Machine Learning Engineer. The successful candidate will design, train, and optimise high-performance machine learning models, build and manage datasets for real-world sensing systems, and clearly communicate technical work to stakeholders.
Based in North Somerset, you'll be part of a collaborative and forward-thinking environment that encourages rapid prototyping and experimentation. You’ll work within multidisciplinary teams to develop, validate and deploy machine learning models to meet challenging customer requirements.
Key Responsibilities
* Develop and train neural network models using frameworks such as PyTorch and TensorFlow
* Select and adapt model architectures to meet specific project requirements
* Build, curate, and manage training datasets, including data augmentation, feature extraction, and labelling
* Conduct model training, validation, and performance optimisation
* Collaborate with software engineers to integrate models into embedded or application environments
* Produce clear technical documentation and communicate findings to technical and non-technical audiences
Requirements
* Degree in Computer Science, Engineering, Mathematics, or related field
* Strong development skills in Python and C/C++
* Experience with neural network architectures including RNNs, transformers, and vector quantisation
* In-depth knowledge of machine learning architectures and training algorithms
* Experience in model training, quantisation, and conversion for inference
* Hands-on experience with data preparation, augmentation, and feature extraction
* Excellent communication and technical writing skills
* UK national, eligible for security clearance
Due to the nature of work at our client’s site, these vacancies are only open to British Citizens who hold security clearance or can obtain it.
This is a permanent role with a salary range of £38,000–£70,000.
Electus Recruitment Solutions provides specialist engineering and technical recruitment solutions to a number of high technology industries. We thank you for your interest in this vacancy. If you do not hear from us within seven working days, please presume your application has been unsuccessful on this occasion. You are free to resubmit your CV or details in the future, and we shall assess your suitability then.