Core AI Engineering Manager

Posted 16 Days Ago
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London, Greater London, England, GBR
In-Office
Entry level
Big Data • Fintech • Information Technology • Machine Learning • Financial Services
The Role
Lead the Core AI team and its foundational platform, including GPU compute, model serving, developer tooling, secure AI-agent environments, and MCP services. Own the infrastructure roadmap, build-versus-buy decisions, sandboxing strategy, and developer adoption initiatives. Mentor product-focused engineers, influence senior stakeholders, collaborate with open-source teams, and drive scalable platform delivery across the firm.
Summary Generated by Built In

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.


From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.


As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.


Take the next step in your career.


The role

The Core AI team owns the foundational platform that supports AI work across the firm. This includes the AI gateway service for access to frontier models, the on-prem inference platform for access to open-weight and custom models at scale on the GPU farm, and the secure model registry.


We are looking for an exceptional engineering manager to lead and grow the Core AI team within the Basecamp Technology group. You will be communicating platform strategy and impact to senior stakeholders, including the Head of Basecamp Technology and CTO.


AI is part of how every team here works, accelerating thinking and delivering impact. All colleagues are expected to bring AI into their daily workflows. In this team, that means building the tools and services that make this possible.


Key responsibilities of the role include:

  • Driving the Core AI infrastructure roadmap in line with the firm's AI strategy
  • Leading build versus buy decisions across model serving and inference infrastructure
  • Designing and owning a centralised MCP gateway, working with platform teams to provide MCP services
  • Collaborate with the open-source group to stay up to date and help to drive priorities for feature development in open-source products
  • Leading and mentoring a team of product-focused engineers
  • Driving developer adoption through SDKs, documentation and self-service tooling

Who are we looking for?

The ideal candidate will have the following skills and experience:

  • Proven experience leading large-scale platform or infrastructure initiatives
  • Strong communication skills, with the ability to influence stakeholders across technical and business functions
  • Expert C# and Python skills, with experience building distributed systems
  • Deep Kubernetes expertise, including operators, custom schedulers and multi-tenant cluster management
  • Experience with Docker, Terraform and CI/CD in regulated environments
  • Experience with GPU infrastructure and platform optimisation
  • Experience operating MCP servers at scale, sandboxing technologies and open-source contributions

Why should you apply?
  • Highly competitive compensation plus annual discretionary bonus
  • Lunch provided (via Just Eat for Business) and dedicated barista bar
  • 35 days' annual leave
  • 9% company pension contributions
  • Informal dress code and excellent work/life balance
  • Comprehensive healthcare and life assurance
  • Cycle-to-work scheme
  • Monthly company events
  • Experience days: all-expenses-paid, bucket-list outings with colleagues, from Michelin-star tasting menus to European day trips.

Relocation Support

If you're relocating internationally to join us in London, we offer a comprehensive range of support services to assist you all the way. All costs associated with your relocation and immigration are covered by G-Research.

  • Concierge service: Your personal consultant will arrange travel; help find your new home and manage your move. They're also on hand to help with more bespoke requests too.
  • Immigration support: We'll partner you with an expert consultant who will guide you through the full immigration process.

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section

Skills Required

  • Experience leading large-scale platform or infrastructure initiatives
  • Strong communication skills and ability to influence technical and business stakeholders
  • Expert C# and Python skills
  • Experience building distributed systems
  • Deep Kubernetes expertise, including operators, custom schedulers, and multi-tenant cluster management
  • Experience with Docker, Terraform, and CI/CD in regulated environments
  • Experience with GPU infrastructure and platform optimization
  • Experience operating MCP servers at scale
  • Experience with sandboxing technologies
  • Open-source contribution experience
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The Company
HQ: London
1,039 Employees
Year Founded: 2001

What We Do

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets. We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.

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