Applied AI Manager

🔒 Confidential Employer
Posted 22 March 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Machine Learning GenAI Python MLOps Cloud Infrastructure Data Science Software Engineering AI/ML frameworks

FULL DESCRIPTION

[Employer hidden — view at passion-project.co.uk] is seeking an Applied AI Manager to lead the design and delivery of complex ML and GenAI systems, guide the team in end-to-end model development, drive architectural decisions, mentor engineers, and collaborate cross-functionally. The ideal candidate has experience leading engineering teams, strong software engineering skills, and deep knowledge of AI/ML frameworks.

The Opportunity

The Data Science team is growing at [Employer hidden]! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. We are looking for a Applied AI Manager to accelerate our application of AI across teams and products. Come and join us, you will get to build large-scale AI powered systems, learn and apply the latest techniques, and work alongside other great researchers and engineers!

Every day is different, but here's an example of the kind of things you'll work on:

  • Lead the design and delivery of complex ML and GenAI systems, ensuring solutions are robust, scalable, and aligned with business goals.
  • Guide the team in end-to-end model development - from experimentation and evaluation through deployment and monitoring - with a focus on reproducibility and reliability.
  • Drive architectural decisions for data-intensive, AI-driven applications, making informed trade-offs between cutting-edge approaches and practical production readiness.
  • Mentor and grow engineers across levels, sharing best practices in software engineering, ML/AI, and cloud infrastructure.
  • Collaborate cross-functionally with stakeholders across the company to shape roadmaps, scope ambitious projects, and balance technical innovation with delivery.
  • Champion engineering excellence - from coding standards and CI/CD pipelines to observability and incident management - creating a culture of technical rigor and continuous improvement.
  • Be a visible technical leader within [Employer hidden], pushing forward the adoption of AI/ML across teams and influencing company-wide strategy.

About You

This role will be a great fit if you:

  • Have proven experience leading engineering teams in a high-growth, fast-paced environment.
  • Care deeply about people development - mentoring engineers, conducting thoughtful performance reviews, and building inclusive, high-performing teams.
  • Combine strong software engineering skills (Python preferred) with deep knowledge of AI/ML frameworks, GenAI tooling, and modern data/infra stacks.
  • Have hands-on experience building and deploying ML/GenAI systems in production, ideally in domains with high complexity (finance, legal, or similar data-heavy spaces).
  • Lead architectural discussions and technical trade-offs while staying close enough to dive into details when needed.
  • Know your way around cloud infrastructure (AWS preferred) and modern MLOps practices.
  • Thrive in a collaborative, startup-style environment: adaptable, decisive, and excited to work cross-functionally to deliver real business impact.
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