ML Infrastructure Engineering Manager – Distributed Systems

ML Infrastructure Engineering Manager – Distributed Systems

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
eFinancialCareers

At a Glance

  • Tasks: Lead a talented team in developing cutting-edge ML infrastructure and scalable deployment systems.
  • Company: Join a leading financial tech firm in the heart of London.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in the finance sector.
  • Why this job: Shape the future of ML technology in high-stakes environments and make a real impact.
  • Qualifications: Proven experience in engineering management and expertise in ML technologies.

The predicted salary is between 80000 - 100000 £ per year.

e Financial Careers in London, UK is seeking an experienced Engineering Manager / Tech Lead Manager to head a small, high‑performing team focused on core ML infrastructure, distributed model training, LLM hosting/fine‑tuning, and scalable deployment systems.

You’ll own technical direction, lead 6‑7 experienced engineers, and drive the integration of advanced ML capabilities into real‑world, high‑stakes systems.

This is a hands‑on leadership role within a deeply technical environment.

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ML Infrastructure Engineering Manager – Distributed Systems employer: eFinancialCareers

Quilter plc is an exceptional employer, offering a dynamic work environment in Southampton where innovation and collaboration thrive. With a strong commitment to employee growth, comprehensive benefits including a generous holiday allowance and a non-contributory pension scheme, Quilter fosters a culture of inclusivity and continuous improvement, empowering employees to make meaningful contributions to the financial futures of their clients and communities.

eFinancialCareers

Contact Details:

eFinancialCareers Recruitment Team

We think you need these skills to ace ML Infrastructure Engineering Manager – Distributed Systems

Communication Skills
Problem-Solving Skills
SQL
Python
Data Engineering
Attention to Detail
ETL/ELT Processes