Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Building and deploying production-grade ML software and infrastructure to optimize the research and commercialization of life-changing therapies with an accent on scalable software architecture and ML operationalization. Focus on bridging the gap between lab-based models and real-world production systems to address critical healthcare challenges.

Location: Hybrid in London, UK

Company

An AI company focused on delivering human-centric, responsible AI solutions across sectors including government, finance, retail, and life sciences.

What you will do

• Build and deploy production-grade ML software, tools, and infrastructure.
• Create reusable, scalable solutions to accelerate the delivery of ML systems.
• Collaborate with engineers, data scientists, and commercial leads to solve critical client challenges.
• Lead technical scoping and architectural decisions to ensure project feasibility and impact.
• Define and implement company standards for deploying machine learning at scale.
• Act as a technical advisor to customers and partners, translating complex ML concepts for stakeholders.

Requirements

• Experience operationalizing models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.
• Strong Python skills and solid experience in software engineering best practices.
• Hands-on experience with cloud platforms and infrastructure (AWS, Azure, or GCP), including architecture and security.
• Experience with container and orchestration tools such as Docker and Kubernetes.
• Proficiency in core ML concepts, including probability, statistics, and common learning techniques.
• Excellent communication skills to guide technical teams and advise non-technical stakeholders.

Culture & Benefits

• Unlimited annual leave policy.
• Private healthcare and dental coverage.
• Enhanced parental leave and family-friendly flexibility.
• Access to Sanctus Coaching.
• Hybrid working environment.

Hiring process

• Talent Team Screen (30 minutes).
• Pair Programming Interview (90 minutes).
• System Design Interview (90 minutes).
• Commercial Interview (60 minutes).