Salary: £60,000 - 65,000 per year Requirements: We require a degree in Computer Science, Engineering, Mathematics, or a related field. We require proven experience in data engineering or machine learning engineering. We need strong Python and SQL skills. We require hands-on experience with cloud platforms such as GCP or Azure and Databricks. We need familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML. Nice to have: experience with Spark, CI/CD pipelines, and orchestration tools. Nice to have: knowledge of Elasticsearch or digital/web analytics platforms. Nice to have: understanding of the full machine learning lifecycle, from experimentation to evaluation. Responsibilities: We build and maintain end-to-end data pipelines and feature engineering workflows. We deploy and monitor ML models in production using tools such as MLflow, Vertex AI, or Azure ML. We drive MLOps best practices, including CI/CD, experiment tracking, and model governance. We support the data warehouse and ensure data quality, governance, and accessibility. We collaborate with analysts, data engineers, and stakeholders to deliver trusted datasets and insights. We transform ML prototypes into production-ready systems that scale effectively. We champion reliable, scalable machine learning solutions across the business. Technologies: AI Azure CI/CD Cloud Data Warehouse Databricks ElasticSearch GCP Support Machine Learning Python SQL Spark Web More: We are looking for a Machine Learning Engineer to join our data team in a hands-on, high-impact role based in London with a hybrid working model of two days onsite. This position offers the chance to combine data engineering and machine learning while working closely with analysts, data engineers, and stakeholders to deliver scalable, production-ready solutions that influence products used by millions of people. We offer a competitive salary with annual reviews, a generous holiday allowance that increases with service, onsite wellness facilities, subsidised meals, gym access, wellbeing support services, and employee assistance programmes. You will also have clear career progression and the opportunity to work with cutting-edge technology. last updated 21 week of 2026