Machine Learning Manager (Fintech)

TL;DR

Machine Learning Manager (Fintech): Leading a team of ML specialists to build and optimize fraud detection systems with an accent on model lifecycle management, regulatory compliance, and customer protection. Focus on driving high-impact ML strategy, coaching technical talent, and collaborating with cross-functional stakeholders to solve complex financial crime challenges.

Location: Must be based in the UK (London/Cardiff or remote within the UK). Relocation to the UK and visa sponsorship are available.

Salary: £113,200 – £153,200 + Incentive Awards.

Company

A leading UK-based digital bank dedicated to solving financial problems and making money work for everyone through innovative technology and customer-centric services.

What you will do

• Manage, coach, and develop a team of ML specialists through regular 1:1s and clear career development plans.
• Partner with Product, Risk, and Engineering teams to shape roadmaps and prioritize high-impact fraud prevention initiatives.
• Ensure high-quality ML delivery across the full model lifecycle, including development, deployment, and monitoring.
• Maintain a high bar for model performance, explainability, and safe production operations.
• Foster an inclusive team culture that encourages feedback, knowledge sharing, and sustainable high performance.
• Contribute to the broader ML and Data discipline at the company, including hiring and improving internal processes.

Requirements

• Proven experience managing Machine Learning specialists and delivering results through others.
• Strong ML judgement with expertise in the full model lifecycle from problem framing to production iteration.
• Ability to navigate ambiguous, high-impact problem spaces and make clear trade-offs.
• Experience building trusted relationships with cross-functional stakeholders like Product, Risk, and Engineering.
• Clear communication skills for both technical and non-technical audiences.
• Deep commitment to building inclusive teams and supporting growth at all levels of seniority.

Nice to have

• Experience in fraud, financial crime, risk management, or other highly regulated environments.

Culture & Benefits

• Flexible working hours with a focus on outcomes rather than rigid processes.
• Annual £1,000 learning budget for books, training, and conferences.
• Comprehensive home office setup support, including MacBooks and additional equipment for remote workers.
• Performance-based incentive awards.
• Inclusive and diverse work environment with strong support for professional growth.

Hiring process

• Recruiter call.
• Initial interview with ML/Data leadership focusing on people management and ML judgement.
• Loop stage covering stakeholder leadership, technical judgement, and company values.