Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI strategy and research, shaping conversational AI for healthcare.
- Company: Join a fast-growing health-tech start-up making waves in digital healthcare.
- Benefits: Enjoy a hybrid work model, competitive salary, and the chance to innovate.
- Why this job: Make a real impact on patient outcomes while building a world-class team.
- Qualifications: Degree in ML, NLP, or related field; experience with LLMs and AI governance required.
- Other info: Opportunity to work on cutting-edge projects in a supportive, collaborative environment.
The predicted salary is between 108000 - 180000 £ per year.
An exciting and rapidly growing health-tech start-up are seeking a Director of AI & Research to define how the business can start to leverage LLMs and conversational AI across their diverse product offerings. This is a chance to shape the entire AI vision from research, roadmap, and prototype to a nationwide rollout, while setting the gold-standard for safety, ethics, and governance in a regulated environment.
As Director of AI & Research you will spearhead conversational AI, design next-generation AI-powered care models, and define rigorous guardrails to ensure the safety and confidentiality of all users. This is an opportunity to work on greenfield challenges, hands-on experimentation, and to build and lead a high-impact team.
Responsibilities:- Define & deliver the AI strategy - own the roadmap for conversational AI, generative LLMs, and predictive care models from ideation to production.
- Lead cutting-edge research - run rapid experiments, RLHF loops, fine-tuning, and retrieval-augmented generation to push the boundaries of clinical dialogue systems.
- Architect safe, scalable solutions - design reference & MLOps architectures on cloud with robust guard rails in place.
- Establish governance & guardrails - craft policies, model cards, and internal frameworks that ensure compliance with NHS, MDR, ISO 13485, GDPR, and emerging AI/ML regulations.
- Build & mentor a world-class team - recruit and develop Researchers, ML Engineers, and Data Scientists who thrive on collaboration and experimentation.
- Collaborate cross-functionally - partner with customers, product, and regulatory teams to translate research into safe, user-centric features.
- Degree or equivalent experience in Machine Learning, NLP, Computational Linguistics, or a related field.
- Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production.
- Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases).
- Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc.).
- Strong leadership & mentorship skills; comfortable scaling teams from scratch while fostering an inclusive, high-trust culture.
- Hands-on experience with cloud architectures, CI/CD, and MLOps best practices.
- Passion for improving patient outcomes through ethical, human-centric technology.
This is an excellent opportunity for a Director of AI & Research to leave a lasting mark on digital healthcare at a business already receiving great media coverage and consumer feedback.
Contact Detail:
Career Wallet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of AI and Research
✨Tip Number 1
Network with professionals in the health-tech and AI sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders in the field. This can help you gain insights into the latest trends and may even lead to referrals.
✨Tip Number 2
Showcase your expertise in LLMs and conversational AI through personal projects or contributions to open-source initiatives. Having tangible examples of your work can set you apart and demonstrate your hands-on experience in the field.
✨Tip Number 3
Familiarise yourself with the regulatory landscape surrounding AI in healthcare. Understanding compliance requirements such as GDPR and NHS standards will not only prepare you for the role but also show your commitment to ethical practices in AI.
✨Tip Number 4
Prepare to discuss your leadership style and how you would build a high-impact team. Think about specific strategies you would use to foster collaboration and inclusivity, as these are key aspects of the role at StudySmarter.
We think you need these skills to ace Director of AI and Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, machine learning, and research. Focus on specific projects where you've successfully implemented LLMs or conversational AI systems, showcasing your impact and results.
Craft a Compelling Cover Letter: In your cover letter, express your passion for health-tech and how your background aligns with the company's mission. Discuss your vision for AI in healthcare and how you plan to lead the team towards achieving that vision.
Highlight Leadership Experience: Since this role involves building and mentoring a team, emphasise your leadership skills and experiences. Provide examples of how you've successfully scaled teams and fostered a collaborative culture in previous roles.
Showcase Compliance Knowledge: Given the importance of governance and compliance in this role, detail your experience with regulations like GDPR and ISO standards. Mention any specific frameworks or policies you've developed to ensure compliance in past projects.
How to prepare for a job interview at Career Wallet
✨Showcase Your Vision
As a Director of AI and Research, it's crucial to articulate your vision for leveraging LLMs and conversational AI. Prepare to discuss how you would define the AI strategy and roadmap, and be ready to share examples of past successes in similar roles.
✨Demonstrate Technical Expertise
Make sure to highlight your deep knowledge of modern ML/NLP frameworks and orchestration stacks. Be prepared to discuss specific projects where you've successfully implemented these technologies, especially in regulated environments like healthcare.
✨Emphasise Leadership Skills
This role requires strong leadership and mentorship abilities. Share experiences where you've built and led high-impact teams, focusing on how you fostered collaboration and an inclusive culture within your team.
✨Prepare for Ethical Discussions
Given the importance of safety, ethics, and governance in this role, be ready to discuss how you would establish governance and guardrails for AI systems. Familiarise yourself with relevant regulations and be prepared to explain how you would ensure compliance.
