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# ML Engineer

- **Company:** Opus Recruitment Solutions
- **Location:** Isleworth, UK
- **Experience:** Expert
- **Salary:** £156,000.0 - £169,000.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), A/B Testing, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Computer Programming, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Unstructured Data, Cloud Platform System, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Deep Learning, Containerization, Scikit Learn, Machine Learning Operations, Data Pipelines, Docker
- **Published:** September 25, 2026
- **Apply:** https://www.reed.co.uk/jobs/ml-engineer/57388533

## About the Role

* Strong commercial experience as a Machine Learning Engineer, Applied Scientist, or similar.
 * Proven experience building recommendation systems, personalisation platforms, or ranking models.
 * Strong programming skills in Python.
 * Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
 * Strong understanding of feature engineering and large-scale data processing.
 * Experience building and maintaining data pipelines.
 * Knowledge of MLOps, model deployment, monitoring, and optimisation.
 * Experience designing and analysing A/B tests and experimentation frameworks.
 * Familiarity with structured and unstructured datasets.
 * Excellent stakeholder management and communication skills.

Desirable Skills

 * Deep Learning
 * NLP
 * Spark
 * AWS, Azure, or GCP
 * Feature Stores
 * Real-time Personalisation Systems
 * Search and Ranking Technologies

If you have a strong background in Machine Learning, recommendation systems, personalisation, and production-grade ML deployments, we'd love to hear from you.
Skills

 * Amazon Web Services (AWS)
 * Artificial Intelligence
 * Cloud Computing Platforms (Java)
 * Communication Skills (Key)
 * Docker Containerization
 * Large Language Models (LLM)
 * Machine Learning
 * Microsoft Azure (Line)
 * Python Programming (Beginner)
 * TensorFlow & PyTorch Deep Learning

## Description

* Design, develop, and optimise machine learning models for personalisation and recommendation use cases.
 * Build and maintain scalable data pipelines for feature engineering, model training, and inference.
 * Deploy, monitor, and improve ML models in production environments.
 * Develop recommendation engines, ranking models, and user segmentation solutions.
 * Design and analyse A/B tests and offline experiments to measure model effectiveness.
 * Work closely with Product, Engineering, Data, and Business teams to deliver impactful solutions.
 * Research and evaluate emerging machine learning and deep learning techniques.
 * Ensure models remain reliable, scalable, and aligned with business objectives.


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