Machine Learning Engineer

Experis - ManpowerGroup; Isleworth; Hybrid; GBP 31,365,000 - 35,055,000; Full time

Job summary

Experis - ManpowerGroup is seeking an experienced Machine Learning Engineer to join its data and AI team in Osterley, West London. Hybrid role requiring 2 days on-site per week with strong emphasis on personalisation, recommendation systems, and scalable ML solutions.

You will design, train, and deploy models, build scalable data pipelines, evaluate model performance, and collaborate with Product, Engineering, and Data Science teams to drive product innovation in a data-driven environment.

Qualifications

• 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.

Responsibilities

• 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.
• 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.
• Deploy machine learning models into production environments.
• Monitor performance, availability, and model effectiveness over time.
• Implement processes to support model retraining and continuous improvement.
• Design and analyse A/B tests and offline experiments.
• Measure model effectiveness and user outcomes.
• Use insights to drive ongoing optimisation and product improvements.
• Partner with Product, Engineering, Data Science, and Business teams to align ML initiatives with strategic goals.

Skills

Python

ML frameworks

MLOps

Data pipelines

A/B testing

Cloud platforms

Large datasets

Tools

TensorFlow

PyTorch

Job description

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.