Engineering Manager – AI/ML

La Fosse; Greater London; Remote; GBP 125,000 - 150,000; Full time

Job summary

La Fosse, in partnership with a global technology business, seeks an Engineering Manager in London to lead two AI/ML teams of 8–10 engineers and data scientists. You will influence architecture and production ML systems while aligning with business strategy.

The role is roughly 75% leadership and 25% technical, with a base of £125k and a 10% bonus. London office or UK remote options are available, depending on location.

Qualifications

• Experience managing teams of 5–10+ Engineers / Data Scientists.
• Strong technical background in AI/ML, ideally Computer Vision, NLP or Deep Learning.
• Experience building and operating production ML systems at scale.
• Strong understanding of architecture and system design.
• Excellent stakeholder management and communication skills.

Responsibilities

• Leading and developing two AI/ML engineering teams
• Owning the technical strategy and roadmap
• Working closely with senior product and engineering stakeholders
• Providing direction across architecture, system design and production AI/ML
• Building a high-performing engineering culture and developing technical talent

Skills

AI/ML leadership

Team management

Stakeholder management

System architecture

Production ML systems

Job description

• £125k + 10% Bonus + $20,000 in LTIP Shares (per year)
• London office or UK fully remote (depending on your location)

I’m working with a global technology business looking for an Engineering Manager to lead two teams building cutting-edge AI/ML products used at significant scale.

This is a technical leadership role, overseeing 8–10 Engineers and Data Scientists across two teams. You’ll own the strategy, roadmap and delivery, while remaining close enough to the technology to influence architecture and key technical decisions.

The role is roughly 75% leadership / 25% technical.

What you’ll be doing:

• Leading and developing two AI/ML engineering teams
• Owning the technical strategy and roadmap
• Working closely with senior product and engineering stakeholders
• Providing direction across architecture, system design and production AI/ML
• Building a high-performing engineering culture and developing technical talent

What they’re looking for:

• Experience managing teams of 5–10+ Engineers / Data Scientists
• Strong technical background in AI/ML, ideally Computer Vision, NLP or Deep Learning
• Experience building and operating production ML systems at scale
• Strong understanding of architecture and system design
• Excellent stakeholder management and communication skills

If you’re an Engineering Manager from a strong AI/ML background who still enjoys being close to the technology,