Senior Machine Learning Engineer, Faculty

🔒 Confidential Employer
Posted 28 April 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£160,000 / year
CATEGORY
Artificial Intelligence
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Machine Learning lifecycle Operationalising models TensorFlow PyTorch Software engineering Python Cloud platforms (AWS, Azure, GCP) Docker Kubernetes

FULL DESCRIPTION

Senior Machine Learning Engineer, [Employer hidden — view at passion-project.co.uk]

Company: [Employer hidden]

Location: London

Work Type: Hybrid

Job Type: Full-time

Experience Level: Mid-Senior level

Salary: £60,000 - £160,000 per year

About the Role

As a Senior Machine Learning Engineer, we’ll look to you to lead development and deployment of cutting-edge AI systems for our diverse clients. You’ll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident client-facing skills.

What the job involves

  • Leading technical scoping and architectural decisions for high-impact ML systems
  • Designing and building production-grade ML software, tools, and scalable infrastructure
  • Defining and implementing best practices and standards for deploying machine learning at scale across the business
  • Collaborating with engineers, data scientists, product managers, and commercial teams to solve critical client challenges and leverage opportunities
  • Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies
  • Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth

Who you are

  • You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch
  • You bring deep expertise in software engineering and strong Python skills, focusing on building robust, reusable systems
  • You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure
  • You've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale
  • You thrive in fast-paced, high-growth environments, demonstrating ownership and autonomy in driving projects to completion
  • You communicate exceptionally well, confidently guiding both technical teams and senior, non-technical stakeholders

If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Application process

  • Talent Team Screen (30 minutes)
  • Pair Programming Interview (90 minutes)
  • System Design Interview (90 minutes)
  • Commercial Interview (60 minutes)

Salary Benchmarks

Machine Learning Engineer

Expert

Senior

£60k - £160k

Company Information

Company: [Employer hidden]

Employees: 201-500

Industry: B2B, Artificial Intelligence, Big data, Machine Learning

About [Employer hidden]: Foreseeing the AI boom as far back as 2014, [Employer hidden] was founded to ensure the technology could be implemented where it was needed most. A European leader in applied AI, [Employer hidden] helps its clients accelerate and execute their highest priorities, whether that be new drug development, bringing renewable energy online or defending against terrorist attacks. It works with organisations such as OpenAI and Anthropic to ensure their latest AI models are safe, human-led and explainable.

Company Benefits

  • Dental cover - 100% of dental fees covered, up to £500, including checkups and hygienist.
  • Optical Cover - 100% of the cost of prescribed glasses and contact lenses up to £300 a year.
  • Hybrid working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside [Employer hidden]. We provide you with all you need to work from home, including a laptop, keyboard and chair.
  • Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family
  • Fantastic private health, for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions
  • Access to mental health coaching with Sanctus
  • Lunch weekly, and more fruit, drinks and snacks than you could ever eat (for office-based employees)
  • We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime
  • Paid Maternity, Paternity, Adoption or Shared Parental Leave - we offer a progressive, gender neutral and generous parental leave policy here at [Employer hidden]. All parents are given 15 weeks leave at full pay in addition to statutory time off after 12 months of service.
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