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
- 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
- Company
- Electus Recruitment Solutions
- Location
- Somerset, England, United Kingdom
- Employment Type
- Full-Time
- Salary
- Salary negotiable
- Posted
- Company
- Electus Recruitment Solutions
- Location
- Somerset, England, United Kingdom
- Employment Type
- Full-Time
- Salary
- Salary negotiable
- Posted