Machine Learning Engineer

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