AI Engineer

AI Engineer (Backend Focused) – Clinical AI Platform

London, United Kingdom (Hybrid)

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.