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Engineering
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Engineering Manager - AI Platform

Thought Machine
United Kingdom
Verified OpportunityChecked by PathwayAI staff.

Role Summary

Join Thought Machine as an Engineering Manager to lead AI platform projects and manage a talented engineering team in London.

Key Responsibilities

  • Actively participating in technical discussions and design reviews.
  • Taking a data driven approach and measuring your team’s impact with the data you can collect directly from your users.
  • Understanding the needs, challenges and impediments of internal teams so you can identify solutions and measure success
  • Contributing to the vision and strategy of your platform area, aligning it with broader engineering and business goals.
  • Contributing to engineering-wide initiatives as part of the engineering management team on anything from recruitment to team processes.
  • Develop engineers in your team and help them in their career development.
  • Leading by example: Code reviews and hands on technical work
  • Championing industry best practices and emerging trends to keep our team ahead of the curve.

Minimum Requirements

  • 2+ years experience of engineering management in platform teams that include AI tooling and capabilities
  • Experience of working in a cloud-native environment, using modern technology stacks similar to the stack we use at Thought Machine (Kubernetes, AWS/GCP/Azure, golang/python).
  • Technical background to drive technical decisions and great interpersonal skills to drive communication with your users. You should enjoy working in environments where you have a high level of responsibility and autonomy.
  • You are comfortable wearing different Engineering Manager hats that suit the changing needs of a team as it evolves.
  • You have experience developing platforms and tools that are used by other engineers either internally or externally.
  • Previously led an AI-first team driving organisational change
  • Experience working in or managing internal platform teams
  • Previously helped recruit and shape brilliant engineering teams.
  • Taken an active role in defining and evaluating effective team processes.
  • Previously worked in a hyper-growth environment.

Working Conditions

We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.

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  • Highly competitive salary
  • Pension plan (match up to 5%)
  • Life insurance - three times annual salary
  • Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid)
  • Shared parental leave (matched to our maternity leave for the same point in time)
  • 25 days holiday and bank holidays
  • Flexible working hours
  • Cycle-to-work scheme
  • Electric car scheme
  • Season ticket loan
  • Access to outstanding learning materials and courses
  • Sports and hobby clubs, subsidised by Thought Machine
  • All the latest tech you need
  • Start the day properly with fresh fruit and cereals
  • Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks
  • A talented and experienced team as your colleagues
  • An environment where we encourage learning and progress
  • Two charity days a year
  • Weekly food pop-up

Eligibility Criteria

Candidates from various backgrounds are encouraged to apply, but specific eligibility for African applicants is not clearly stated.

Exp. LevelNot specified
EducationNot specified

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Published On
August 28, 2026
Application Deadline
Ongoing / No specific deadline
Location
United Kingdom, London
Employment Type
Full Time • On-site
Source
Arbeitnow
Last verified: August 28, 2026
Degree Level
Any
Visa Sponsorship
Visa Sponsorship Likely
Africa Eligibility
International — African Eligibility Unclear
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