At a Glance
- Tasks: Develop and scale backend systems for AI-driven clinical applications.
- Company: Fast-growing European clinical AI company with a new London office.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic startup environment with a focus on innovation and impact.
- Why this job: Join a cutting-edge team at the intersection of AI and healthcare.
- Qualifications: Strong backend engineering skills in Python, Node.js, or Java.
The predicted salary is between 60000 - 80000 € per year.
Eblex Group is supporting a fast-growing European clinical AI company that has recently expanded into the UK with the opening of its new London office. The company is building AI-driven software designed to improve how clinical development teams manage, interpret, and operationalise clinical data across the drug development lifecycle. As part of their continued growth, they are looking for an AI Engineer with a strong backend software engineering focus to help scale the platform infrastructure and AI capabilities. This is an opportunity to join a business at the intersection of AI, software engineering, and clinical development, working on products that support biotech and pharmaceutical organisations globally.
The Role of AI Engineer
You will work closely with AI, product, and engineering teams to develop and scale backend systems that power intelligent clinical applications. The position is heavily backend-focused, with responsibility for building scalable services, integrating AI models into production environments, and supporting large-scale clinical data workflows.
Key Responsibilities of AI Engineer
- Design and develop scalable backend systems and APIs supporting AI-driven clinical applications
- Build infrastructure to support machine learning model deployment and orchestration
- Develop and optimise pipelines for clinical and operational data processing
- Collaborate with AI/ML engineers to productionise machine learning models
- Improve platform performance, reliability, and scalability across cloud environments
- Work closely with product and clinical teams to translate operational challenges into technical solutions
- Support secure handling of regulated clinical and healthcare data
Technical Requirements of the AI Engineer
- Strong backend engineering experience using Python, Node.js, Java, or similar technologies
- Experience building scalable APIs and distributed systems
- Familiarity with AWS, GCP, or Azure cloud infrastructure
- Experience supporting AI/ML workflows in production environments
- Understanding of databases, data engineering, and ETL pipelines
- Experience with containerisation and orchestration technologies (Docker, Kubernetes)
Preferred Experience
- Exposure to AI/ML platforms or data-intensive applications
- Experience within healthcare, biotech, clinical research, or regulated environments
- Familiarity with clinical data standards such as FHIR, HL7, or CDISC
- Experience working in scaling technology businesses or start-up environments
This search is being conducted exclusively by Eblex Group. For confidential consideration, please apply directly or contact Eblex Group for more information.
AI Engineer in London employer: Eblex Group
Eblex Group is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets clinical development. With a strong focus on employee growth and collaboration, team members are encouraged to develop their skills while working on cutting-edge AI technologies that have a meaningful impact on healthcare. The hybrid work model promotes a healthy work-life balance, making it an attractive opportunity for those looking to contribute to transformative projects in the biotech and pharmaceutical sectors.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your backend projects, especially those involving AI and cloud technologies. We recommend including links to GitHub or any live demos to impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of scalable systems. We suggest practicing common algorithms and system design questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make an impact in the clinical AI space.
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your backend engineering experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your Python, Node.js, or Java expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and clinical development. We love seeing candidates who can connect their personal experiences to our mission, so let your enthusiasm show!
Showcase Relevant Projects:If you've worked on any AI-driven applications or scalable backend systems, make sure to mention them. We’re keen to see how you’ve tackled challenges in previous roles, especially in healthcare or biotech settings.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Eblex Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Node.js, and cloud platforms. Brush up on your knowledge of building scalable APIs and distributed systems, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled operational challenges with technical solutions. Think about how you’ve collaborated with AI/ML engineers or product teams to enhance system performance and reliability.
✨Understand Clinical Data Standards
Familiarise yourself with clinical data standards such as FHIR, HL7, or CDISC. Being able to speak confidently about these standards will demonstrate your readiness to handle regulated clinical and healthcare data effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI-driven software and its impact on clinical development. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
