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- 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 growth opportunities.
- Other info: Join a dynamic team shaping the future of healthcare.
- 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 includes:
- 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:
- 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
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 Chesterfield 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 Chesterfield
✨Tip Number 1
Network like a pro! Connect with folks in the HealthTech space on LinkedIn or at industry events. A personal introduction can make all the difference when you're aiming for that Head of AI Engineering role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your past AI projects. When you get the chance to chat with potential employers, having tangible examples will help you stand out.
✨Tip Number 3
Be ready for technical discussions! Brush up on your knowledge of LLMs and AI engineering workflows. You want to demonstrate that you’re not just a leader but also someone who can dive into the code when needed.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the team making a real impact in healthcare.
We think you need these skills to ace Head of AI Engineering in Chesterfield
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 in AI and software engineering, and don’t forget to showcase any hands-on coding you've done. We want to see how you’ve made an impact in previous roles!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how your skills align with our mission. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Your Leadership Skills: Since this is a senior role, we’re keen to see examples of how you’ve built and scaled teams in the past. Share specific instances where you’ve mentored others or made high-impact decisions that shaped your team’s direction.
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 the role. Plus, it shows you’re serious about joining our team!
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. Brush up on architectural decisions, model selection, and the trade-offs between building and buying solutions. Being able to defend your choices will impress the interviewers.
✨Align with Their Mission
Understand the company's mission to improve healthcare outcomes through AI. Be prepared to discuss 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.