Machine Learning Engineer

Machine Learning Engineer

Rate: £770 per day (Inside IR35)
Location: Osterley, West London (Hybrid - 2 days per week onsite)
Clearance Required: BPSS

The Opportunity

We're looking for an experienced Machine Learning Engineer to join a high-performing data and AI team, focused on building and deploying machine learning solutions that deliver highly personalised user experiences at scale.

This is an exciting opportunity to work on cutting-edge recommendation systems, ranking models, user segmentation, and content analysis capabilities, helping to drive data-driven decision-making and product innovation.

Key Responsibilities Machine Learning Development

• Design, build, train, and optimise machine learning models focused on personalisation and recommendation systems.
• Develop solutions covering:
  • Recommendation Engines
  • Ranking Algorithms
  • User Segmentation
  • Content Analysis
• Evaluate and improve model accuracy, performance, and scalability.

Data Engineering & Feature Development

• Develop and maintain scalable data pipelines to support model training and feature engineering.
• Work with structured and unstructured datasets at scale.
• Ensure data quality, reliability, and efficient processing across the ML lifecycle.

Production Deployment & Monitoring

• Deploy machine learning models into production environments.
• Monitor performance, availability, and model effectiveness over time.
• Implement processes to support model retraining and continuous improvement.

Experimentation & Optimisation

• Design and analyse A/B tests and offline experiments.
• Measure model effectiveness and user outcomes.
• Use insights to drive ongoing optimisation and product improvements.

Collaboration & Innovation

• Partner with Product, Engineering, Data Science, and Business teams to align machine learning initiatives with strategic goals.
• Stay up to date with emerging developments in machine learning, deep learning, and personalisation technologies.
• Identify opportunities to introduce innovative approaches and improve existing solutions.

Essential Skills & Experience

• Strong commercial experience as a Machine Learning Engineer.
• Experience designing and deploying machine learning models in production environments.
• Proven expertise in:
  • Recommendation Systems
  • Personalisation Models
  • Ranking Algorithms
  • User Behaviour Analysis
• Strong Python development skills and experience with machine learning frameworks.
• Experience building scalable data pipelines and feature engineering processes.
• Knowledge of experimentation methodologies, including A/B testing.
• Experience handling large-scale structured and unstructured datasets.
• Strong understanding of MLOps, model deployment, monitoring, and lifecycle management.
• Excellent communication and stakeholder engagement skills.

Desirable Skills

• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Experience working with cloud-based data and ML platforms.
• Exposure to real-time recommendation systems and large-scale personalisation products.
• Experience within customer-facing digital or media environments.