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For Companies At a Glance
- Tasks: Design and develop cutting-edge AI solutions to revolutionise healthcare.
- Company: Join a leading global provider in clinical research and healthcare intelligence.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on patient outcomes with innovative AI technologies.
- Qualifications: 6 years in AI/NLP, strong Python skills, and a passion for healthcare.
- Other info: Collaborative team environment with opportunities for mentorship and knowledge sharing.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a Senior AI Engineer who is passionate about improving healthcare through cutting-edge technology. In this role, you will contribute hands-on to the design, development, and deployment of advanced ML and NLP technologies powering Patient Finder. You’ll work on impactful projects such as Generative AI, Named Entity Recognition/Linking (NER/NEL), multilingual NLP, and continuous learning on complex healthcare datasets. This is a unique opportunity to define the future of AI in healthcare—focusing on deep technical contributions and end-to-end ownership of ML solutions.
Responsibilities
- Design, build, and maintain robust, scalable ML and NLP solutions for production environments.
- Contribute directly to the codebase, designing and implementing robust, scalable AI solutions for production environments.
- Collaborate with other development teams to ensure seamless integration of AI components with our search engine and data warehouse.
- Apply best practices in software engineering, testing, observability, and CI/CD for ML systems.
- Support the internationalization of NLP components across multiple languages.
- Work closely with the Product Owner and engineering teams to translate requirements into high-quality ML deliverables.
- Research and apply state-of-the-art NLP and ML methodologies.
- Share expertise with peers, contribute to knowledge-sharing sessions, and mentor junior engineers informally.
Requirements
- 6 years of industry experience in AI/NLP, with a strong track record of hands-on software engineering and delivering production-grade solutions.
- Proficiency in Python for ML/NLP tasks; other languages (e.g., Go, Rust, Java) are a plus.
- Strong software engineering fundamentals and experience integrating ML systems into production environments.
- Expertise in supervised and unsupervised learning, deep learning, and NLP.
- Ability to communicate technical concepts clearly to cross-functional teams.
- Experience with production-grade ML/NLP deployments.
- Strategic thinking around data science product planning under uncertainty.
- Holistic understanding of ML pipelines within larger systems.
- Strong problem-solving and critical thinking skills.
- Ability to read and implement ideas from scientific papers.
- Excellent English communication skills (written and verbal).
Nice to Have
- Experience in healthcare, life sciences, clinical trials, or pharmaceutical data.
- Based in the Netherlands, to occasionally join in-person team and company activities.
About Us
The Patient Finder team includes ~30 professionals across App, Data, and AI/ML squads, plus QA, Deployment, Support, and Consultancy. We’re part of IQVIA’s broader healthcare product portfolio across EMEA. Flexible work environment: choose between office, home, or hybrid. We host monthly team days and some squads meet weekly.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
Senior AI Engineer in Leeds employer: IQVIA
Contact Detail:
IQVIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and healthcare sectors. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML and NLP. Share your GitHub link or any relevant work during interviews to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of ML concepts. Practice common algorithms and data structures, and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at StudySmarter and contributing to the future of AI in healthcare.
We think you need these skills to ace Senior AI Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with ML and NLP, and don’t forget to showcase any relevant projects that demonstrate your hands-on skills. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about improving healthcare through technology. Share specific examples of your work in AI and how it aligns with what we do at StudySmarter.
Showcase Your Technical Skills: In your application, be sure to highlight your proficiency in Python and any other languages you know. Mention your experience with production-grade ML/NLP deployments and how you've applied best practices in software engineering. We love seeing those technical chops!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of 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 IQVIA
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest ML and NLP technologies, especially those mentioned in the job description. Brush up on your Python skills and be ready to discuss your experience with production-grade solutions. Being able to talk confidently about your hands-on projects will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your critical thinking and strategic planning abilities, especially in uncertain situations. This will demonstrate your capability to handle complex healthcare datasets effectively.
✨Communicate Clearly and Collaboratively
Since the role involves working with cross-functional teams, practice explaining technical concepts in a way that’s easy for non-technical folks to understand. This will show that you can bridge the gap between tech and business, which is crucial for the position.
✨Be Ready to Share Your Knowledge
Think about how you can contribute to knowledge-sharing sessions and mentor junior engineers. Prepare examples of how you’ve done this in the past or how you plan to do it in the future. This shows that you’re not just focused on your own success but also on the growth of the team.
