Machine Learning Engineer

We are partnering with a leading global organisation to recruit an experienced Machine Learning Engineer to join a highly regarded Data & Analytics function. This role offers the opportunity to work on enterprise-scale AI and Generative AI initiatives, building production-grade solutions that drive automation, prediction, and decision-making across the business.

This is an excellent opportunity for someone who enjoys taking models from experimentation through to real-world deployment, while working closely with data scientists, engineers, and senior stakeholders.

The Opportunity

As a Machine Learning Engineer, you will play a key role in designing, building, and deploying scalable machine learning and GenAI solutions. You'll work on complex, multi-layered datasets and contribute to model governance, evaluation, and optimisation in regulated, real-world environments.

You will also be involved in reviewing and assessing GenAI use cases from across the business and supporting robust governance and risk controls around model usage., * Design, build, and productionise machine learning and Generative AI solutions that meet enterprise standards for scalability, reliability, and performance

• Partner closely with data scientists to turn experimental models into well-engineered, production-ready systems
• Develop and maintain end-to-end ML pipelines, including feature engineering, training, evaluation, versioning, monitoring, and automated retraining
• Contribute to MLOps capabilities, including CI/CD pipelines, model registries, infrastructure automation, and containerised deployments
• Perform robust model evaluation, including benchmarking, drift detection, fairness analysis, and performance optimisation
• Collaborate with data engineers and architects to enhance data quality, data flows, and platform capabilities
• Lead experimentation using modern ML frameworks to assess new algorithms and technologies and make recommendations on adoption
• Support model governance processes, ensuring compliance with internal standards, documentation, transparency, and regulatory requirements
• Advise business and product teams on opportunities for automation, predictive modelling, and GenAI enablement
• Contribute to reusable ML components, internal frameworks, and engineering best practices
• Stay up to date with emerging AI trends, tooling, and foundation models to inform strategic decision-making

• You will be a strong hands-on Machine Learning Engineer with solid analytical foundations and experience deploying models into production environments.
• Key skills and experience include:
• Strong programming skills in Python
• Experience with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Advanced knowledge of statistics, probability, and optimisation techniques
• Proven experience building, testing, tuning, and optimising machine learning models
• Comfortable working with large, complex datasets; experience with SQL and data preprocessing
• Experience or strong exposure to MLOps, including CI/CD, Docker, Kubernetes, and cloud platforms (AWS preferred)
• Understanding of Generative AI use cases and model governance or compliance processes