Overview
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.
Key Responsibilities
* 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
About You
* 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
Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
About the job
* Contract Type: Permanent
* Focus: Data Science & AI Research
* Workplace Type: Hybrid
* Experience Level: Associate
* Location: Manchester
Salary: £70,000 - £95,000 per annum
Date posted: 19 January 2026
Consultant: Ayden Bogle
Location: Manchester, Greater Manchester, GB
Industry: Financial Services
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