Senior Machine Learning Engineer (Life Sciences)

TL;DR

Senior Machine Learning Engineer (Life Sciences): Lead development and deployment of scalable, production-grade AI systems for diverse clients in life sciences with an accent on operational and ethical standards. Focus on designing ML software, infrastructure, and collaborating cross-functionally to solve critical healthcare challenges.

Location: Hybrid in London, United Kingdom

Company

hirify.global transforms organisational performance through safe, impactful, and human-centric AI, partnering with pharma, academic research, and MedTech start-ups.

What you will do

• Lead technical scoping and architectural decisions for high-impact ML systems
• Design and build production-grade ML software, tools, and scalable infrastructure
• Define and implement best practices for deploying machine learning at scale
• Collaborate with engineers, data scientists, product managers, and commercial teams
• Act as a trusted technical advisor to customers and partners
• Mentor and develop junior engineers, shaping engineering culture

Requirements

• Location: Hybrid role based in London, UK
• Strong experience with ML lifecycle and frameworks like TensorFlow or PyTorch
• Deep expertise in software engineering and Python
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Experience with container and orchestration tools such as Docker and Kubernetes
• Excellent communication skills for technical and non-technical stakeholders