Senior Machine Learning Engineer

London | Hybrid / Remote | £70,000 - £90,000 + stock options + Benefits

Company Overview

We’re a fast-growing FinTech building fairer and smarter lending solutions. Using advanced machine learning and rich financial data, we create credit products that improve outcomes for individuals and small businesses. Our mission is to make lending transparent, responsible, and accessible—and our models are at the heart of how we achieve this.

Joining us means you’ll be part of a collaborative, hands-on team where your work directly contributes to how we assess and manage risk.

The Role

As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers.

You’ll collaborate closely with credit analysts, data scientists, and the wider engineering team to ensure our models are accurate, explainable, and seamlessly integrated into our lending platform.

What You’ll Do

• Lead the design, training, and optimisation of credit risk and behavioural models using Python and frameworks such as XGBoost and scikit-learn.
• Responsible for creating proprietary data enrichment algorithms.
• Guide the evolution toward a self-learning model framework, improving automation and adaptability over time.
• Design and oversee feature testing and evaluation to enhance predictive performance and interpretability.
• Use BigQuery and GCP tools (including CloudRun) to manage and process large-scale datasets efficiently.
• Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes.
• Mentor junior ML engineers through code reviews, technical guidance, and project planning.
• Work with software engineers to productionise models (deployment and pipelines handled by the engineering team).
• Stay ahead of emerging ML techniques and bring new ideas to improve scalability, performance, and transparency.

What We’re Looking For

Nice to Have

What We Offer

Interview Process