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Job Description

Do you want to work on interesting data problems to drive commercial value?

Have you taken models from prototype to production in messy, real-world environments?

Are you ready to work with senior stakeholders in private equity portfolios?

We’re hiring for a fast-growing, London-based investment-focused AI firm that partners with private equity and investment groups to embed data science and machine learning into portfolio companies. Backed by recent investment and partnered with leading European PE firms, the business is scaling its deployment team to deliver measurable value across diverse industries.

This Senior Data Scientist / Senior Machine Learning Engineer role sits within the deployment group, working hands-on with portfolio companies post-deal to design, build, and deploy ML solutions that improve real business outcomes. Projects are varied, impact-driven, and typically delivered over 2–6 month cycles.

Key Responsibilities

Own end-to-end ML delivery from problem definition through deployment Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases Work closely with data engineers and cloud infrastructure to scale solutions Translate technical work into clear commercial impact for senior stakeholders Contribute to code quality, deployment standards, and best practices

Key Details

Salary: £90,000–£110,000 base + 15–20% discretionary bonus Working model: Hybrid, 2–3 days per week in a central London office (flexible) Tech stack: Python, SQL, Databricks, AWS/GCP/Azure, Git, Docker Benefits: 7% employer pension, private medical (family cover), life assurance, income protection, 25 days holiday + bank holidays Visa: Sponsorship available

Interested? Please apply below.

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