Engineering Manager - AI Platform

Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology. We have grown rapidly in the past few years – growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more. We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years—and a UK Best Employer for 2026. Engineering Managers at Thought Machine lead complex technical projects to deliver on our roadmap. To accomplish this you will manage a group of talented engineers as they identify issues and implement creative solutions to address them. You will manage your own project deliverables, contribute to the vision and strategy of your area and help develop and grow your team. We are particularly excited to hear from people who show strong product ownership and enjoy switching between engineering management and being hands-on with technical work. Your team’s primary mission is to enable everyone in Thought Machine to productively, safely, and easily solve their business problems with AI tooling. You will have a wide remit to design and implement new platforms, adjust pipelines, and introduce new tools when they are the right choice for the job. You will work closely with your team, senior leadership and internal users to define and execute your roadmap. Duties • Actively participating in technical discussions and design reviews. • Taking a data driven approach and measuring your team’s impact with the data you can collect directly from your users. • Understanding the needs, challenges and impediments of internal teams so you can identify solutions and measure success • Contributing to the vision and strategy of your platform area, aligning it with broader engineering and business goals. • Contributing to engineering-wide initiatives as part of the engineering management team on anything from recruitment to team processes. • Develop engineers in your team and help them in their career development. • Leading by example: Code reviews and hands on technical work • Championing industry best practices and emerging trends to keep our team ahead of the curve. Essential • 2+ years experience of engineering management in platform teams that include AI tooling and capabilities • Experience of working in a cloud-native environment, using modern technology stacks similar to the stack we use at Thought Machine (Kubernetes, AWS/GCP/Azure, golang/python). • Technical background to drive technical decisions and great interpersonal skills to drive communication with your users. You should enjoy working in environments where you have a high level of responsibility and autonomy. • You are comfortable wearing different Engineering Manager hats that suit the changing needs of a team as it evolves. • You have