MLOps Engineer (Life Sciences)

TL;DR

MLOps Engineer (Life Sciences): Building and deploying production-grade ML software and infrastructure for diverse clients with an accent on creating reusable and scalable solutions. Focus on leading technical scoping, architectural decisions, and defining standards for deploying machine learning at scale.

Location: Hybrid (2 days in our Old Street office, London)

Company

hirify.global is a company established in 2014 that partners with over 350 global customers to deliver human-centric AI solutions across various sectors, including Life Sciences.

What you will do

• Build and deploy production-grade ML software, tools, and infrastructure.
• Create reusable, scalable solutions that 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 hirify.global’s standards for deploying machine learning at scale.
• Act as a technical advisor to customers and partners.

Requirements

• Understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.
• Possess strong Python skills and solid experience in software engineering best practices.
• Bring hands-on experience with cloud platforms (AWS, Azure, GCP), including architecture and security.
• Experience with container and orchestration tools such as Docker and Kubernetes.
• Comfortable with core ML concepts, including probability, statistics, and common learning techniques.
• Be an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders.
• Work location: Hybrid (2 days in our Old Street office, London).

Culture & Benefits

• Unlimited Annual Leave Policy.
• Private healthcare and dental.
• Enhanced parental leave.
• Family-Friendly Flexibility & Flexible working.
• Sanctus Coaching.
• Hybrid working (2 days in our Old Street office, London).

Hiring process

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