Machine Learning Engineer - UK

Salary: £60,000 - 90,000 per year

Requirements:

• We have strong commercial experience as a Machine Learning Engineer.
• We have experience designing and deploying machine learning models in production environments.
• We have proven expertise in recommendation systems, personalisation models, ranking algorithms, and user behaviour analysis.
• We have strong Python development skills and experience with machine learning frameworks.
• We have experience building scalable data pipelines and feature engineering processes.
• We have knowledge of experimentation methodologies, including A/B testing.
• We have experience handling large-scale structured and unstructured datasets.
• We have a strong understanding of MLOps, model deployment, monitoring, and lifecycle management.
• We have excellent communication and stakeholder engagement skills.
• Desirable: We have experience with deep learning frameworks such as TensorFlow or PyTorch.
• Desirable: We have experience working with cloud-based data and ML platforms.
• Desirable: We have exposure to real-time recommendation systems and large-scale personalisation products.
• Desirable: We have experience within customer-facing digital or media environments.

Responsibilities:

• We design, build, train, and optimise machine learning models focused on personalisation and recommendation systems.
• We develop solutions covering recommendation engines, ranking algorithms, user segmentation, and content analysis.
• We evaluate and improve model accuracy, performance, and scalability.
• We develop and maintain scalable data pipelines to support model training and feature engineering.
• We work with structured and unstructured datasets at scale.
• We ensure data quality, reliability, and efficient processing across the ML lifecycle.
• We deploy machine learning models into production environments.
• We monitor performance, availability, and model effectiveness over time.
• We implement processes to support model retraining and continuous improvement.
• We design and analyse A/B tests and offline experiments.
• We measure model effectiveness and user outcomes.
• We use insights to drive ongoing optimisation and product improvements.
• We partner with Product, Engineering, Data Science, and Business teams to align machine learning initiatives with strategic goals.
• We stay up to date with emerging developments in machine learning, deep learning, and personalisation technologies.
• We identify opportunities to introduce innovative approaches and improve existing solutions.

Technologies:

• AI
• Cloud
• Support
• Machine Learning
• MLOps
• Model Training
• PyTorch
• Python
• TensorFlow

More:

We are looking for an experienced Machine Learning Engineer to join our high-performing data and AI team in Osterley, West London. This is a hybrid role with 2 days per week onsite, offering the opportunity to work on cutting-edge recommendation systems, ranking models, user segmentation, and content analysis capabilities that help drive data-driven decision-making and product innovation. The rate is £770 per day inside IR35, and a BPSS clearance is required. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

last updated 38 week of 2026