Senior Machine Learning Engineer

Up 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.

This 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.

As 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:

• Predictive modelling for customer churn, asset failure, or sales performance
• Building production‑ready pipelines, APIs, and MLOps workflows

You'll typically work in a small and cross‑functional team.

The successful Machine Learning Engineer will have the following skills and experience:

• 4-6+ years in ML Engineering or Data Science
• Strong Python skills and experience with cloud platforms (AWS, GCP, or Azure)
• Experience building and deploying production ML systems
• Familiarity with Databricks, Spark, or MLOps workflows (nice to have but not essential)
• Solid understanding of modern ML methods and data engineering fundamentals
• Strong academic background (ideally Russell Group, with a Master's minimum)
• Ability to work quickly in fast‑paced environments and communicate with non‑technical stakeholders

The successful Machine Learning Engineer will receive the following benefits:

• Competitive salary based on level
• Ability to work across multiple industries and projects
• Extremely strong, and technical team
• Clear progression paths and high visibility in a small organisation

Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.