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- Tasks: Lead a team to build and scale NLP/document processing pipelines.
- Company: Join a UK-based healthtech company making waves in AI and data.
- Benefits: Enjoy hybrid work, competitive salary, and a collaborative environment.
- Why this job: Be at the forefront of AI innovation while mentoring a talented team.
- Qualifications: Strong Python skills and experience with NLP projects are essential.
- Other info: Opportunity to work with cutting-edge technologies like AWS and Kubernetes.
The predicted salary is between 68000 - 90000 £ per year.
Location: Oxford/London (Hybrid – 2 days per week in office)
Type: Permanent
Salary: £85,000–£90,000
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
Lead AI Engineer employer: trg.recruitment
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 in conversations can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences with managing teams and delivering NLP projects. Be ready to share specific examples that highlight your leadership skills and technical expertise.
✨Tip Number 4
Research the company’s products and services, particularly their use of AI in healthcare. Understanding their mission and how you can contribute will help you tailor your responses and show genuine interest during the interview process.
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're passionate about AI and healthtech. Mention specific projects you've worked on that relate to the job description, particularly those involving unstructured data and production-ready solutions.
Showcase Relevant Projects: Include a portfolio or links to projects that demonstrate your expertise in building NLP/document processing pipelines. Highlight your role in these projects and the impact they had on the organisation.
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 Skills
As a Lead AI Engineer, you'll need to demonstrate your strong Python skills and familiarity 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.
✨Prepare for System Design Questions
Expect questions about system architecture and design, especially related to microservices and deployment strategies. Brush up on your knowledge of REST APIs, CI/CD processes, and containerisation tools like Docker and Kubernetes, as these are crucial for the role.
✨Highlight Leadership Experience
Since you'll be guiding a small technical team, it's important to showcase any previous experience in managing or mentoring engineers. Share examples of how you've led teams, set engineering standards, and conducted code reviews to ensure high-quality deliverables.
✨Understand the Healthtech Domain
Familiarise yourself with the healthtech industry and any regulations that may apply. If you have experience in regulated domains, make sure to mention it, as this could give you an edge over other candidates. Showing an understanding of the sector will demonstrate your commitment and readiness for the role.
