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- Tasks: Design and develop impactful AI solutions for real-world healthcare challenges.
- Company: Fast-growing life sciences tech company focused on innovative AI applications.
- Benefits: Competitive salary, growth opportunities, and a collaborative work culture.
- Why this job: Make a tangible difference in healthcare while working with cutting-edge AI technology.
- Qualifications: Experience in AI development and a passion for healthcare innovation.
- Other info: Join a dynamic team dedicated to improving patient access to treatments.
The predicted salary is between 36000 - 60000 £ per year.
We're looking for AI engineers who want to build production-ready AI solutions that tackle real-world challenges in life sciences, from RAG chatbots to agentic AI systems supporting evidence-driven projects. You will design, develop, and deploy AI systems that have measurable impact, influence patient access to treatments, and support decision-making in healthcare. Our client is a fast-growing life sciences technology company with offices in the UK and Europe. They specialise in applying AI to accelerate patient access to treatments through practical, evidence-driven solutions. The company values collaboration, innovation, and creating a culture where employees can grow and make a tangible impact in healthcare.
Key responsibilities
- Design, develop, and deploy AI systems with a focus on RAG chatbots and agentic AI.
- Lead real-world evidence projects, ensuring AI solutions are reliable, measurable, and impactful.
- Implement data pipelines, retraining workflows, and monitoring to maintain model performance.
- Design evaluation metrics to assess accuracy, latency, UX quality, safety, and real-world utility.
- Collaborate with product, software, and platform teams to deliver scalable, production-ready AI solutions.
- Champion software engineering best practices, including code reviews, testing, CI/CD, and reproducibility.
- Ensure AI solutions meet security, compliance, and responsible AI standards.
Artificial Intelligence Engineer employer: Aspire Life Sciences Search
Contact Detail:
Aspire Life Sciences Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 AI projects, especially those related to life sciences. This will give potential employers a taste of what you can do and how you tackle real-world challenges.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with RAG chatbots and agentic AI systems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of an AI Engineer. Highlight your experience with RAG chatbots and agentic AI systems, and don’t forget to mention any projects that had a measurable impact in healthcare.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about applying AI in life sciences and how your skills align with our mission to improve patient access to treatments.
Showcase Your Projects: Include links or descriptions of relevant projects you've worked on. We love seeing real-world applications of your skills, especially if they demonstrate your ability to design and deploy impactful AI solutions.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Aspire Life Sciences Search
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to life sciences. Be ready to discuss your experience with RAG chatbots and agentic AI systems, as well as any projects where you've made a measurable impact.
✨Showcase Collaboration Skills
Since the company values collaboration, be prepared to share examples of how you've worked effectively in teams. Highlight any cross-functional projects you've been involved in, especially those that required input from product, software, or platform teams.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in previous roles and how you tackled them. Discuss your approach to designing evaluation metrics and maintaining model performance, as this will show your ability to deliver reliable and impactful AI solutions.
✨Emphasise Best Practices
Familiarise yourself with software engineering best practices like code reviews, testing, and CI/CD. Be ready to explain how you've implemented these in your past work, as it shows you're committed to delivering high-quality, production-ready AI systems.
