At a Glance
- Tasks: Build AI features for clinical workflows and create impactful solutions in HealthTech.
- Company: Join a growing HealthTech organisation focused on innovative GenAI capabilities.
- Benefits: Competitive salary, strong learning investment, and hybrid working model.
- Other info: Dynamic team environment with opportunities for career growth.
- Why this job: Shape the future of AI in healthcare and make a real-world impact.
- Qualifications: Experience in AI engineering and a passion for health technology.
The predicted salary is between 100000 - 100000 £ per year.
Do you want to build AI features embedded directly into real clinical workflows used by hospitals, within a business actively rolling out GenAI solutions including Copilot integrations? This is a genuine opportunity to shape how AI is applied in production products, moving beyond internal tooling and experimentation into real-world impact.
This is the chance to join a growing HealthTech organisation that is actively expanding its GenAI capabilities across its core product, moving from early experimentation into scalable, real-world applications. With pilots already underway in hospital environments and strong investment into AI, the team is focused on embedding intelligent automation across workflows such as summarisation, documentation, and communication, delivering meaningful value to clinical users.
Joining their engineering team, you’ll play a key role in designing and building Agentic AI systems, leveraging LLMs and RAG architectures to create production-ready capabilities that integrate seamlessly into the product. You’ll develop AI-driven workflows including automated summaries, letter generation, and knowledge retrieval, while tackling challenges around orchestration, context management, and evolving knowledge bases.
You’ll contribute across both prototyping and production environments, helping to scale AI solutions using tools such as OpenAI APIs and Microsoft Copilot, and embedding them into a SaaS platform operating in regulated settings. You’ll also play a key role in shaping the technical direction, keeping up to date with emerging AI frameworks, and influencing architectural decisions as the company continues to expand its AI capabilities.
The role offers a competitive salary, strong investment in learning and development focused on emerging AI technologies, and a hybrid working model based in Wokingham (local candidates required).
AI Engineer/ Data Scientist – Agentic AI – £100k + Hybrid – HealthTech / Clinical Workflows in Wokingham employer: Opus Recruitment Solutions
Agentic AI is an exceptional employer, offering a unique opportunity to work at the forefront of HealthTech innovation in Wokingham. With a strong commitment to employee growth through investment in learning and development, a collaborative work culture, and the chance to make a real-world impact by embedding AI into clinical workflows, this role promises not only competitive remuneration but also a fulfilling career path in a rapidly evolving field.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer/ Data Scientist – Agentic AI – £100k + Hybrid – HealthTech / Clinical Workflows in Wokingham
✨Tip Number 1
Network like a pro! Reach out to people in the HealthTech space, especially those working with AI. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. 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 related to clinical workflows. This could be anything from GitHub repos to case studies. When you apply through our website, make sure to highlight these in your application!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and data science, and think about how you can demonstrate your problem-solving abilities. We want to see how you tackle real-world challenges!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for the team!
We think you need these skills to ace AI Engineer/ Data Scientist – Agentic AI – £100k + Hybrid – HealthTech / Clinical Workflows in Wokingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer/Data Scientist role. Highlight relevant experience, especially in HealthTech and clinical workflows, and don’t forget to showcase any projects involving LLMs or GenAI solutions.
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 at StudySmarter. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any AI projects, especially those that have real-world applications, make sure to include them. We love seeing practical examples of your work, so don’t hold back!
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 to shape AI in clinical settings!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and frameworks relevant to the role. Be ready to discuss how you've used LLMs and RAG architectures in your past projects, as well as any experience with OpenAI APIs or Microsoft Copilot.
✨Understand Clinical Workflows
Familiarise yourself with how AI can be integrated into clinical workflows. Research common challenges faced in health tech and think about how your skills can help solve these issues. Showing that you understand the real-world impact of your work will impress the interviewers.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills and knowledge of AI systems. Practice coding problems or case studies related to AI-driven workflows, and be ready to explain your thought process clearly and concisely.
✨Show Enthusiasm for Learning
This role involves keeping up with emerging AI technologies, so express your eagerness to learn and grow. Share examples of how you've pursued professional development in the past, whether through courses, workshops, or personal projects.
