Machine Learning Engineer

We’re looking for a Machine Learning Engineer to help build and run production‑ready ML systems that make a real impact across the business. You’ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable solutions, and driving innovation while growing your career.

• Build and automate ML pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow.
• Product ionise Data Science models, converting notebooks into modular, tested, production‑ready code.
• Deploy models into batch and real‑time environments, managing versioning, promotion, rollback, and scheduled workflows via MLflow and APIs.
• Implement monitoring and observability, including data and model drift detection, performance alerts, logging, and automated retraining.
• Collaborate with Data Engineering and Platform teams on CI/CD integration, pipeline performance, compute optimisation, and secure deployment patterns.
• Maintain engineering standards, ensuring high‑quality testing, documentation, code quality, reproducibility, and operational reliability.

• Experience with ML platforms including Databricks, MLflow, Delta Lake, and cloud environments.
• Proficient in Python, PySpark, and SQL, following production coding best practices.
• Understanding of data, distributed ML pipelines, and model deployment patterns, including monitoring, drift detection, and lifecycle operations.
• Exposure to CI/CD, containerisation, and API integration, with the ability to build scalable, production‑ready ML systems.
• Comfortable working technically while communicating effectively with Data Scientists, stakeholders, and cross‑functional teams.

• Annual discretionary bonus
• Up to 11% pension contributions
• Hybrid working + flexible hours
• 25 days annual leave + bank holidays + buy/sell options
• Career development and mentoring
• Inclusive culture + employee networks
• Share investment options

We celebrate individuality and believe our differences make us stronger. We’re proud to foster a culture where everyone feels respected, valued, and empowered to thrive. As an Equal Opportunity and Disability Confident Employer, we ensure fair consideration for all applicants and offer interviews to all disabled candidates who meet the essential criteria. We understand that everyone’s circumstances are different and are happy to explore flexible working options such as reduced hours or job shares to support work–life balance.

If you meet the core criteria but not every requirement, we’d still love to hear from you. Let’s explore how this role could support your next career step. If you need adjustments during the recruitment process, just let us know we’re here to support you.