Machine Learning Engineer in Antrim

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 Tensor Flow or Py Torch.
• 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.

If you receive suspicious outreach claiming to be from us, please contact us via the Manpower Group website.

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