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 TensorFlowSelect and adapt model architectures to meet specific project requirementsBuild, curate, and manage training datasets, including data augmentation, feature extraction, and labellingConduct model training, validation, and performance optimisationCollaborate with software engineers to integrate models into embedded or application environmentsProduce clear technical documentation and communicate findings to technical and non-technical audiences
Requirements
Degree in Computer Science, Engineering, Mathematics, or related fieldStrong development skills in Python and C/C++Experience with neural network architectures including RNNs, transformers, and vector quantisationIn-depth knowledge of machine learning architectures and training algorithmsExperience in model training, quantisation, and conversion for inferenceHands-on experience with data preparation, augmentation, and feature extractionExcellent communication and technical writing skillsUK 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.
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