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ML Platform Engineering Manager – Scale & AI Infrastructure
Lightricks
City Of London
Híbrido
GBP 80.000 - 110.000
Tempo integral
Há 30+ dias

Resumo da oferta

A leading AI technology firm in London is seeking an ML Platform Engineering Manager to lead a dynamic team of backend engineers. This role involves transforming advanced machine learning models into scalable systems and requires extensive experience in backend development and engineering management. The ideal candidate will have a strong track record in cloud-based systems and excellent leadership skills. The role offers a hybrid working model with attractive benefits including stock options and flexible hours.

Serviços

Stock Options
Private Medical Insurance
Life Assurance
Transport Allowance
Wellbeing & Professional Development Allowance
Free on-site lunches
Pension Contributions
Holiday (25 days)
Enhanced Parental Leave
Cycle-to-work Scheme
Volunteering Opportunities
Frequent social activities

Qualificações

  • 8+ years of backend systems experience with 2+ years in engineering management.
  • Experience managing engineering teams in fast-paced environments.
  • Deep expertise in cloud-based distributed systems.

Responsabilidades

  • Lead a team of backend engineers in building AI infrastructure.
  • Transform ML models from research into robust systems.
  • Architect and maintain a high-performance inference platform.

Conhecimentos

Backend systems experience
Leadership of platform projects
Cloud-based distributed systems
Backend development and system design
Communication skills
ML model serving
Mentoring engineering teams
Leading distributed teams

Formação académica

B.Sc. in Computer Science or related technical field
Descrição da oferta de emprego
A leading AI technology firm in London is seeking an ML Platform Engineering Manager to lead a dynamic team of backend engineers. This role involves transforming advanced machine learning models into scalable systems and requires extensive experience in backend development and engineering management. The ideal candidate will have a strong track record in cloud-based systems and excellent leadership skills. The role offers a hybrid working model with attractive benefits including stock options and flexible hours.

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