Senior Machine Learning EngineerUp to £120,000 + bonus London based (hybrid 2-3 days per week in office)If you enjoy solving real business problems, and working technical team, this is a brilliant place to grow. You'll work on end‑to‑end ML projects across multiple private equity companies, helping them unlock value, modernise their data capabilities, and embed production‑ready AI and ML solutions.THE COMPANYThis technology and consulting organisation partners with private equity firms across the UK and Europe to deliver meaningful, data‑driven transformation. With a good technical team they've built a positive reputation and an enjoyable team to work with.THE ROLEAs a Senior ML Engineer, you'll work across different clients, industries, and use cases - perfect if you enjoy variety and dislike being stuck on slow moving projects. You'll be hands‑on with Python, cloud, and Databricks, building and deploying ML solutions with real commercial impact.You can expect to work on projects such as:Optimisation modelsPredictive modelling for customer churn, asset failure, or sales performanceFull ML life cycle ownership: prototyping → deployment → monitoringBuilding production‑ready pipelines, APIs, and MLOps workflowsYou'll typically work in a small and cross‑functional team.SKILLS AND EXPERIENCEThe successful Machine Learning Engineer will have the following skills and experience:4-6+ years in ML Engineering or Data ScienceStrong Python skills and experience with cloud platforms (AWS, GCP, or Azure)Experience building and deploying production ML systemsFamiliarity with Databricks, Spark, or MLOps workflows (nice to have but not essential)Solid understanding of modern ML methods and data engineering fundamentalsStrong academic background (ideally Russell Group, with a Master's minimum)Ability to work quickly in fast‑paced environments and communicate with non‑technical stakeholdersBENEFITSThe successful Machine Learning Engineer will receive the following benefits:Competitive salary based on levelHybrid workingAbility to work across multiple industries and projectsExtremely strong, and technical teamClear progression paths and high visibility in a small organisationHOW TO APPLYPlease register your interest by sending your resume to Madison Barlow via the Apply link on this page.