ML Platform & Workflow Lead - Scalable ML in Finance

G-Research; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading quantitative research firm in London is seeking an Engineering Manager to lead their ML Workflows team. The role involves guiding a skilled team to deliver scalable and reliable solutions for machine learning research. The ideal candidate will have a strong engineering background in ML infrastructure, experience in leading engineers, and a clear understanding of CI/CD processes. The company offers competitive compensation, extensive leave, and a vibrant work culture.

Benefits

Highly competitive compensation

Annual discretionary bonus

Lunch provided

35 days’ annual leave

9% company pension contributions

Informal dress code

Comprehensive healthcare

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, effective communication across technical and non-technical audiences.
• The ability to make sound decisions and prioritise for long-term impact.

Responsibilities

• Design and deliver the long-term strategy for ML research at the firm.
• Lead and develop a team of ML workflow engineers.
• Provide hands-on technical leadership across design and implementation.
• Partner with research and infrastructure teams to deliver MLOps solutions.
• Drive quality and reliability across all stages of the ML lifecycle.

Skills

Strong engineering background

Experience in ML infrastructure or MLOps

Proven track record leading or mentoring engineers

Solid understanding of good architecture

Clear communication skills

Decisive problem-solving skills

Job description

A leading quantitative research firm in London is seeking an Engineering Manager to lead their ML Workflows team. The role involves guiding a skilled team to deliver scalable and reliable solutions for machine learning research. The ideal candidate will have a strong engineering background in ML infrastructure, experience in leading engineers, and a clear understanding of CI/CD processes. The company offers competitive compensation, extensive leave, and a vibrant work culture.