Engineering Manager (Python) - GenAI Start-Up

Posted 1 hour 35 minutes ago by Durlston Partners LLP

Permanent
Full Time
Academic Jobs
London, United Kingdom
Job Description
Engineering Manager (Python) - GenAI Start-Up

Software Engineering

London

Engineering Manager (Python) - GenAI Start-Up - London - £300,000 + equity

Durlston Partners is working with an elite-level AI Tech firm that is looking for an Engineering Manager with a strong Python background to lead and grow one of their core engineering teams.

You'll work closely with AI researchers, data scientists, and senior engineers to deliver scalable, high-performance AI systems. This is a hands on leadership role where you'll guide technical direction, mentor engineers, and contribute to production code and distributed system design in large scale, data intensive environments.

What You'll Do

  • Lead and mentor a high-performing team of software engineers working on AI research infrastructure, model training, and data pipelines.
  • Drive the delivery of efficient, production ready implementations of research models.
  • Oversee the design, reliability, and optimisation of distributed, high-performance training and inference services.
  • Establish and enforce best practices in testing, monitoring, CI/CD, and deployment across the team.
  • Collaborate with product and research leads to define roadmaps and deliver high-impact engineering outcomes.

What They're Looking For

  • Strong academic background in Computer Science (ideally from a top global university).
  • Experience leading engineering teams, ideally within Trading, Big Tech, AI, or similarly high performance environments.
  • Excellent Python skills and the ability to guide architectural and code quality decisions.
  • Knowledge of distributed systems or high performance computing at scale.
  • Track record of delivering complex technical projects and fostering strong engineering culture.

What They Offer

  • Competitive compensation with equity.
  • Work alongside top tier AI researchers and engineers.
  • Fast moving, innovative environment.
  • Direct impact: your leadership shapes the AI research and deployment infrastructure at scale.