Senior ML Engineer — Tech Lead & Team Mentor

Aioi Nissay Dowa Europe Limited

Oxford

On-site

GBP 90,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Annual leave 28 days
Private medical insurance
Life assurance 4x salary
Wellbeing benefits
Wagestream & loans

Job summary

Aioi Nissay Dowa Europe Limited is hiring a Lead Machine Learning Engineer to drive technical and delivery leadership across ML projects in the R&D Lab. You will mentor engineers, shape best practices, and contribute hands-on on select projects while coordinating multiple engagements.

The role includes overseeing solution design, risks, and quality across teams, with engagement in pre-sales and broader ML initiatives.

Qualifications

  • PhD or MSc in STEM or equivalent practical experience.
  • Extensive years of ML engineering and software delivery expertise.
  • Strong software engineering background with production ML systems.
  • Experience leading ML engineers or technical contributors.

Responsibilities

  • Line manage and develop ML engineers and contribute to hiring and onboarding.
  • Hands-on contribution to complex delivery projects while leading multiple engagements.
  • Establish and embed ML engineering best practices across the Lab.
  • Lead multidisciplinary teams across ML engineers, scientists and software engineers.
  • Support pre-sales activity with technical scoping and solution shaping.

Skills

Leadership
ML engineering
Cloud platforms
CI/CD
Containerisation
Model deployment
Communication to non-technical
Mentoring

Education

PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or equivalent

Tools

Docker
Kubernetes
CI/CD tools

Job description

Aioi Nissay Dowa Europe Limited is hiring a Lead Machine Learning Engineer to drive technical and delivery leadership across ML projects in the R&D Lab. You will mentor engineers, shape best practices, and contribute hands-on on select projects while coordinating multiple engagements.

The role includes overseeing solution design, risks, and quality across teams, with engagement in pre-sales and broader ML initiatives.

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