Get more replies from employers
Send a job-specific resume in minutes.
QuantSpark in London seeks an Engineering Manager to lead a small team of engineers, providing coaching, performance direction, and technical credibility. You will partner with product and engagement managers on delivery, shape architecture, and guide AI usage across engagements.
The role covers financial services, retail, government, and societal-impact projects. You will mentor engineers, set priorities, and drive high-quality client work while growing the team’s capabilities in data and
We're a (roughly) 50-person analytics and AI consultancy in London - small enough that the work you do is visible to the whole business, and ambitious enough that what we take on is some of the most interesting work in our field, applying data science, machine learning and applied AI to problems that move the needle for the organisations we work with.
We work across financial services, manufacturing, retail, the public sector (and more), on everything from FTSE 100 transformation programmes to long-running work on tricky societal problems.
We deliver that through four capabilities:
This year, our work received some outside recognition too: Consultancy of the Year at the British Data Awards 2026, and a finalist place in this year's Culture 100 Awards.
The Engineering Manager leads a small team of engineers while working on client delivery. You'll move across a few different projects, and bring technical credibility to your team, while also developing and coaching them.
We're committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger, both as people and as a business. All qualified applicants will be considered regardless of sex, sexual orientation, marital status, race, nationality, religion, disability, or age.