Machine Learning Engineer

Machine Learning Engineer

Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.

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. xwzovoh

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