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.
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 Bristol employer: 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 Bristol
✨Tip Number 1
Network like a pro! Connect with people in the AI and healthcare sectors on LinkedIn. Join relevant groups, attend virtual meetups, and don’t be shy to reach out for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your hands-on experience. Share your GitHub or any relevant work on platforms like LinkedIn to catch the eye of recruiters looking for someone with your expertise.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and values. Understand how AI fits into their strategy and come armed with ideas on how you can contribute. Tailor your responses to highlight your leadership and technical skills that align with their needs.
✨Tip Number 4
Don’t just apply anywhere; apply through our website! It shows you’re genuinely interested in the role and gives you a better chance of being noticed. Plus, keep an eye on our updates for new opportunities that match your skills!
We think you need these skills to ace Head of AI Engineering in Bristol
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects and achievements!
Show Your Hands-On Experience: Since this role is all about being hands-on, share specific examples of when you've written code or made architectural decisions. We love seeing candidates who can demonstrate their technical depth and strategic thinking.
Communicate Clearly: Your application should reflect your excellent communication skills. Keep it clear and concise, and make sure to explain complex concepts in a way that’s easy to understand. This will show us you can effectively collaborate in a remote environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
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 great leader.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Prepare to defend your architectural decisions and discuss how you adapt to the rapidly evolving AI landscape. They’ll want to see your judgement and confidence in making tough calls.
✨Align with Their Mission
Understand the company's mission to improve healthcare through AI. Be prepared to discuss how your vision aligns with theirs and how you can contribute to meaningful outcomes for patients and healthcare professionals. Show them you’re passionate about making a difference!