SENIOR DATA ENGINEER
£90-£120K
LONDON

This is an opportunity to join a high-growth applied data and machine learning team focused on tangible commercial impact. You will work on varied, high-visibility projects where your work directly influences business performance and value creation.

THE COMPANY
Our Client is a specialist technology firm operating within the investment and private equity ecosystem. The business partners closely with leading investment firms and their portfolio companies to deliver post-deal value through data and AI. Following recent investment, they are in a strong growth phase with a clear focus on collaboration and pragmatism

THE ROLE

• Work within the deployment team, embedding into portfolio companies to deliver data science and machine learning initiatives.
• Partner closely with C-suite and senior stakeholders to define problems that drive measurable commercial value.
• Design, build and deploy machine learning solutions across use cases such as pricing, sales optimisation and fraud reduction.
• Take ownership of projects end to end, from discovery and modelling through to deployment and scaling.
• Balance technical sophistication with practicality, selecting the right approach to maximise impact.
• Contribute to best practice across applied data science, engineering and delivery.

YOUR SKILLS AND EXPERIENCE

• Strong experience delivering data science or machine learning solutions in production environments.
• Proven capability deploying and scaling models using appropriate engineering and MLOps practices.
• Advanced Python and SQL skills, with experience working in cloud environments such as AWS, GCP or Azure.
• Familiarity with modern tooling such as Databricks, version control and containerisation.
• Strong commercial awareness, with the ability to articulate impact in business terms.
• Confident communication skills and experience working in client-facing or stakeholder-heavy environments.

SALARY AND BENEFITS

• £90-£120k Base salary
• 10% bonus
• 7% Pension

HOW TO APPLY

Please register your interest by sending your CV to Nihal Singh through the 'Apply' link