Head of AI Engineering in Manchester

Head of AI Engineering in Manchester

Manchester Full-Time 120000 - 140000 ÂŁ / year (est.) Home office possible
KDR Talent Solutions

At a Glance

  • Tasks: Lead and build AI engineering for transformative healthcare solutions.
  • Company: Fast-growing European HealthTech scale-up revolutionising patient care.
  • Benefits: Competitive salary, remote work, flexible hours, and significant ownership.
  • Other info: Join a dynamic team with opportunities for growth and influence.
  • Why this job: Make a real impact on healthcare with cutting-edge AI technology.
  • Qualifications: Strong AI engineering experience and leadership skills required.

The predicted salary is between 120000 - 140000 ÂŁ per year.

UK (Remote) Salary: ÂŁ120,000-ÂŁ140,000

Build and scale AI at the heart of European healthcare. We’re working with a fast‑growing European HealthTech scale‑up that’s fundamentally changing how healthcare systems manage patient discharge and aftercare. Their platform already supports a significant proportion of hospitals and care providers, and AI is now central to the next phase of their growth.

They’re hiring a Head of AI Engineering to define, build, and lead their AI function, turning a strong foundation into a world‑class, production‑grade AI organisation. This is a senior, hands‑on leadership role for someone who wants real ownership, real impact, and the opportunity to shape how AI is deployed at scale in a regulated, mission‑critical environment.

The opportunity:

  • As Head of AI Engineering, you’ll take ownership of the full AI engineering landscape, from platform and infrastructure through to applied AI and agent‑based systems, while remaining close to the code and the delivery of real products.
  • You’ll join at a formative stage, where architectural decisions made now will directly influence how AI is embedded into healthcare workflows for years to come.

Key elements of the role include:

  • Defining and owning the AI engineering architecture across platform, applied AI, and agent orchestration layers.
  • Building and scaling the AI engineering team, evolving from a hands‑on core into a structured organisation with clear ownership and leadership.
  • Making high‑impact technical decisions around model selection, infrastructure, and build vs. buy trade‑offs.
  • Working closely with product and engineering leadership to align AI capabilities with product strategy and delivery.
  • Remaining hands‑on: writing code, reviewing PRs, and shipping systems, particularly in the early stages.
  • Establishing standards for AI engineering workflows, including LLM‑assisted development practices.
  • Ensuring architectural decisions are well‑documented, intentional, and able to evolve with a fast‑moving AI landscape.

What they’re looking for:

This role suits someone who is both technically deep and strategically strong — a true player‑coach who enjoys building from scratch. Ideal background includes:

  • Strong experience in software and AI engineering, with a proven record of designing and running production systems.
  • Deep, hands‑on expertise in modern LLM‑based systems: prompt and context architecture, agent orchestration, evaluation frameworks, and observability.
  • A clear understanding of how rapidly model capabilities evolve — and the judgement to adapt architecture as that landscape shifts.
  • Confidence in making and defending architectural decisions, while constructively challenging assumptions.
  • Experience hiring, mentoring, and scaling technical teams.
  • Comfort operating without a fully established structure and motivation to define processes, standards, and direction.
  • Strong opinions on AI‑native engineering workflows, including how LLMs should support coding, testing, documentation, and review.
  • Excellent communication skills and confidence working in a remote‑first, international environment.

Why consider this role?

  • Meaningful impact: Your work will directly improve outcomes for patients, families, and healthcare professionals.
  • Strategic influence: AI is a core pillar of the company’s future — this is not an R&D side project.
  • Autonomy and trust: Flat hierarchies, high ownership, and genuine influence over technical direction.
  • Flexibility: Remote‑friendly setup, flexible working hours, and a culture that supports life outside of work.
  • Growth journey: The chance to build a leading AI function within one of Europe’s most ambitious HealthTech platforms.

Interested? If you’re excited by the idea of building AI systems that ship, scale, and matter, and want to lead AI engineering in a setting where your decisions truly count, we’d love to talk. Apply directly or reach out for a confidential conversation with our AI & Data recruitment team.

Head of AI Engineering in Manchester employer: KDR Talent Solutions

Join a fast-growing European HealthTech scale-up that is revolutionising patient discharge and aftercare management through AI. As an employer, we offer a remote-friendly environment with flexible working hours, fostering a culture of autonomy and trust where your contributions directly impact healthcare outcomes. With opportunities for personal and professional growth, you will play a pivotal role in shaping the future of AI in healthcare, making this an exciting and meaningful place to work.
KDR Talent Solutions

Contact Detail:

KDR Talent Solutions Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of AI Engineering in Manchester

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios related to AI engineering. Be ready to discuss your past experiences and how they relate to the role you're applying for.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team and making an impact in healthcare.

We think you need these skills to ace Head of AI Engineering in Manchester

AI Engineering
Software Engineering
Production Systems Design
LLM-based Systems Expertise
Prompt and Context Architecture
Agent Orchestration
Evaluation Frameworks
Observability
Architectural Decision Making
Team Hiring and Mentoring
Technical Team Scaling
AI-native Engineering Workflows
Communication Skills
Remote Work Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Head of AI Engineering. Highlight your experience with AI systems, leadership roles, and any hands-on coding you've done. We want to see how your background aligns with our mission in healthcare!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI in healthcare and how you envision shaping our AI function. Be genuine and let your personality come through – we love seeing the real you!

Showcase Your Technical Skills: In your application, don’t shy away from detailing your technical expertise. Mention specific projects or systems you've worked on, especially those involving LLMs and production systems. We’re looking for someone who can dive deep into the tech while leading a team!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it makes it easier for us to keep track of all the amazing talent out there!

How to prepare for a job interview at KDR Talent Solutions

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI engineering, especially around LLM-based systems and agent orchestration. Be ready to discuss your hands-on experience with production systems and how you've tackled challenges in the past.

✨Showcase Your Leadership Skills

As a Head of AI Engineering, you'll need to demonstrate your ability to build and scale teams. Prepare examples of how you've mentored others, made high-impact decisions, and defined processes in previous roles. This will show that you're not just technically savvy but also a strong leader.

✨Be Ready for Technical Discussions

Expect to dive deep into technical topics during the interview. Be prepared to discuss architectural decisions you've made, how you approach model selection, and your thoughts on build vs. buy trade-offs. This is your chance to showcase your strategic thinking and technical depth.

✨Align with Their Mission

Understand the company's mission to improve healthcare through AI. Be ready to articulate how your vision aligns with theirs and how you can contribute to their goals. Showing genuine interest in their work will set you apart from other candidates.

Head of AI Engineering in Manchester
KDR Talent Solutions
Location: Manchester

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