Lead AI Engineer

Lead AI Engineer

Full-Time 36000 - 60000 ÂŁ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and develop cutting-edge AI solutions to revolutionise healthcare.
  • Company: Join a leading global provider of clinical research services and healthcare intelligence.
  • Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact in healthcare with innovative AI technologies.
  • Qualifications: 6 years in AI/NLP, strong Python skills, and a passion for problem-solving.
  • Other info: Collaborative team culture with opportunities for mentorship and knowledge sharing.

The predicted salary is between 36000 - 60000 ÂŁ 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.

Key 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. To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere.

Lead AI Engineer employer: IQVIA

At IQVIA, we pride ourselves on being an exceptional employer, particularly for those passionate about leveraging AI to transform healthcare. Our flexible work environment allows you to choose between office, home, or hybrid settings, fostering a culture of collaboration and innovation. With opportunities for professional growth, mentorship, and involvement in impactful projects, joining our team means contributing to meaningful advancements in patient care while working alongside a diverse group of talented professionals.
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Contact Detail:

IQVIA Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead AI Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly, as communication is key when working with cross-functional teams.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Lead AI Engineer

Machine Learning (ML)
Natural Language Processing (NLP)
Python
Software Engineering
Deep Learning
Supervised Learning
Unsupervised Learning
Data Science Product Planning
Integration of ML Systems
Technical Communication
Problem-Solving Skills
Critical Thinking
Knowledge of ML Pipelines
Experience with Production-Grade Deployments
Mentoring and Knowledge Sharing

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your hands-on experience in AI/NLP, especially any projects that involved ML and NLP technologies in healthcare.

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about improving healthcare through technology. Share specific examples of your work in AI and how it relates to the responsibilities outlined in the job description.

Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any other programming languages you know. We want to see your technical expertise shine through, so include relevant projects or contributions to codebases.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and get back to you faster!

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 past projects will show that you’re the right fit for the role.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Think of examples where you applied supervised and unsupervised learning techniques or deep learning methodologies. This will demonstrate your critical thinking and problem-solving abilities, which are crucial for this position.

✨Communicate Clearly and Effectively

Since you'll be collaborating with cross-functional teams, practice explaining complex technical concepts in simple terms. You might be asked to describe your approach to integrating AI components with existing systems, so clarity is key. Good communication can set you apart from other candidates.

✨Be Ready to Discuss Future Trends

Stay updated on the latest trends in AI and healthcare technology. Be prepared to share your thoughts on where you see the industry heading and how you can contribute to innovative solutions. This shows your passion for the field and your commitment to continuous learning, which aligns perfectly with the company’s values.

Lead AI Engineer
IQVIA
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  • Lead AI Engineer

    Full-Time
    36000 - 60000 ÂŁ / year (est.)
  • I

    IQVIA

    10000+
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