Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to build and scale NLP/document processing pipelines.
- Company: Join a pioneering UK healthtech company transforming healthcare with AI.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation in healthcare while mentoring a talented team.
- Qualifications: Strong Python skills and experience with NLP projects are essential.
- Other info: This role offers a chance to influence engineering standards and architecture.
The predicted salary is between 68000 - 95000 £ per year.
Location: Oxford/London (Hybrid – 2 days per week in office)
Type: Permanent
Salary: £85,000–£95,000
Interview Process: 3 stages
We are working with a UK-based healthtech company looking for a Lead AI Engineer. This role sits within a cross-functional Data & AI team, focused on taking NLP projects into production and improving system design and infrastructure. You will also guide a small technical team (2–3 people), but the focus remains deeply technical - ideal for someone from a software engineering background.
What you will do:
- Build and scale NLP/document processing pipelines using microservices
- Lead 2–3 reports (data scientists + AIOps engineer)
- Set engineering standards and lead architecture, code reviews, and deployment
- Work with DevOps, product, and data teams to deliver production-ready solutions
What you will need:
- Strong Python and experience with PyTorch or TensorFlow
- Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS
- Proven delivery of NLP/OCR projects with unstructured data
- Experience managing or mentoring engineers
Bonus points for:
- Experience in regulated domains
- Knowledge of semantic search, graph/vector databases
- Java or C# background and understanding of SOLID principles
Interested? Message me here or email mmatysik@trg-uk.com
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in NLP and AI technologies. Being well-versed in current advancements will not only boost your confidence during discussions but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the healthtech sector, especially those working on AI projects. Engaging with industry peers can provide valuable insights and potentially lead to referrals that could enhance your application.
✨Tip Number 3
Prepare to discuss your previous experience with managing teams and delivering projects. Highlight specific examples where you led a technical team or successfully implemented NLP solutions, as this will be crucial in showcasing your leadership skills.
✨Tip Number 4
Brush up on your knowledge of cloud services like AWS, as well as containerisation tools such as Docker and Kubernetes. Being able to speak confidently about these technologies will set you apart from other candidates.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, PyTorch or TensorFlow, and any relevant NLP projects. Emphasise your technical skills and leadership experience, especially in managing small teams.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about AI and healthtech. Mention specific projects you've worked on that relate to the job description, particularly those involving unstructured data and NLP.
Showcase Relevant Projects: If possible, include links to any relevant projects or GitHub repositories that demonstrate your expertise in building NLP/document processing pipelines and your understanding of microservices architecture.
Prepare for Technical Questions: Anticipate technical questions related to your experience with REST APIs, CI/CD, Docker, Kubernetes, and AWS. Be ready to discuss your approach to code reviews and setting engineering standards.
How to prepare for a job interview at trg.recruitment
✨Showcase Your Technical Expertise
As a Lead AI Engineer, you'll need to demonstrate your strong Python skills and experience with frameworks like PyTorch or TensorFlow. Be prepared to discuss specific projects where you've successfully implemented NLP solutions, focusing on the challenges you faced and how you overcame them.
✨Highlight Leadership Experience
Since this role involves guiding a small technical team, it's crucial to highlight any previous leadership or mentoring experiences. Share examples of how you've supported team members in their development and how you've set engineering standards in past projects.
✨Understand the Company’s Focus
Research the healthtech company and its mission. Familiarise yourself with their products and how they utilise AI and NLP. This will not only show your interest but also help you tailor your answers to align with their goals during the interview.
✨Prepare for Technical Questions
Expect to face technical questions related to system design, architecture, and deployment processes. Brush up on your knowledge of REST APIs, CI/CD, Docker, Kubernetes, and AWS, as these are key components of the role. Practising coding problems or system design scenarios can also be beneficial.
