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Lead ML Workflow & Platform Engineering

G-Research

Greater London

On-site

GBP 80,000 - GBP 100,000

Full time

Today
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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
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.
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