About this role
Salary: £149,000 - 149,000 per year
Requirements: Experience designing, training, and optimising machine learning modelsExperience with recommendation engines, ranking algorithms, user segmentation, and content analysisExperience building and maintaining scalable data pipelines for feature engineering and model trainingExperience working with structured and unstructured large-scale datasetsExperience deploying and supervising ML models in production environmentsExperience designing and analysing A/B tests and offline experimentsExperience collaborating with multidisciplinary teams to align machine learning work with business objectives and user needsExperience evaluating emerging research in machine learning, deep learning, and personalisation Responsibilities: Research, build, and design artificial intelligence systems for machine learningMaintain and improve existing artificial intelligence systemsDesign, train, and optimise machine learning models focused on user personalisationConstruct and maintain robust and scalable data pipelines for feature engineering and model trainingDeploy and supervise ML models in production environmentsEnsure high availability, optimal performance, and continued relevance of ML models in productionLead the design and analysis of A/B tests and offline experiments to evaluate model efficacyWork with multidisciplinary teams to align machine learning initiatives with business objectives and user needsEvaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems Technologies: Machine LearningModel TrainingSupport More:
We are hiring for a Machine Learning Engineer on an initial 3-6 months contract assignment, with a strong likelihood of extension. This is a hybrid role with 2 days on site in Osterley, West London, and it is inside IR35. We are looking for someone to join our data science team and contribute to machine learning, production deployment, experimentation, and ongoing innovation in personalisation.
last updated 39 week of 2026