Machine Learning Workflow Manager

G-Research; Greater London; On-site; GBP 80,000 - GBP 100,000; Full time

Job summary

A leading quantitative research firm based in Central London seeks an Engineering Manager for their ML Workflows team. The role entails designing ML research strategies, leading a team to implement high-impact MLOps solutions, and fostering technical excellence. Candidates should possess a strong engineering background, comprehensive understanding of ML systems, and effective communication skills. In return, the company offers competitive pay, generous annual leave, and a dynamic workplace culture.

Benefits

Highly competitive compensation plus annual discretionary bonus

Lunch provided

35 days’ annual leave

9% company pension contributions

Informal dress code

Comprehensive healthcare and life assurance

Cycle-to-work scheme

Monthly company events

Qualifications

• Strong engineering background with experience in ML infrastructure or MLOps.
• Proven track record leading or mentoring engineers.
• Solid understanding of good architecture, CI/CD and production ML systems.
• Clear communication across technical and non-technical audiences.
• Ability to make sound decisions for long-term impact.

Responsibilities

• Design and deliver the long-term strategy for ML research.
• Lead and develop a team of ML workflow engineers.
• Provide hands-on technical leadership across design and implementation.
• Partner with teams to deliver high-impact workflow solutions.
• Set direction for ML pipelines from experimentation to production.
• Drive quality and reliability across the ML lifecycle.

Skills

Strong engineering background with experience in ML infrastructure or MLOps

Proven track record leading or mentoring engineers

Solid understanding of good architecture, CI/CD and production ML systems

Clear, effective communication across technical and non-technical audiences

The ability to make sound decisions and prioritise for long-term impact

Job description

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? Do you want to be part of building and extending a world‑class trading platform to amplify our teams’ most powerful ideas?

G-Research is a leading quantitative research and technology firm. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world‑beating ideas are cultivated and rewarded.

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

This role is based in our headquarters and home to our Research Lab, the new Soho Place office opened in 2023 in the heart of Central London.

The role

We’re looking for a technically strong Engineering Manager to lead our ML Workflows team. The team builds and operates the pipelines, tools and infrastructure that underpin our machine learning research and deployment ecosystem.

You’ll guide a team of skilled engineers to deliver scalable, reliable and efficient solutions that enable cutting‑edge ML research. Where existing tools don’t fit, you’ll help define and build custom systems that set best practice across the organisation.

What you’ll do

• Design and deliver the long‑term strategy for how ML research happens at G-Research
• Lead and develop a team of ML workflow engineers, fostering technical excellence and continuous improvement
• Provide hands‑on technical leadership across design, architecture and implementation
• Partner with research, data and infrastructure teams to deliver high‑impact workflow and MLOps solutions
• Set direction for the evolution of ML pipelines, from experimentation through to production
• Drive quality, reliability and observability across all stages of the ML lifecycle

Future projects

• Implementing best‑practice feature and model stores
• Versioning features, data and models
• Improving inference compute utilisation through model serving
• CI/CD for ML
• Reliable model fitting with complex dependency graphs
• Robust validation and monitoring in production

Who are we looking for

We need a pragmatic technical leader who enjoys solving complex problems, enabling others, and delivering high‑quality systems.

You’ll need

• Strong engineering background with experience in ML infrastructure or MLOps
• Proven track record leading or mentoring engineers
• Solid understanding of good architecture, CI/CD and production ML systems
• Clear, effective communication across technical and non‑technical audiences
• The ability to make sound decisions and prioritise for long‑term impact

Finance experience is not essential; we welcome candidates from all technical backgrounds.

Why join us

• 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