6 days ago Be among the first 25 applicants

Direct message the job poster from Enigma

Founder @ Enigma | Creator of Vision to Venture Podcast & The Neural Network Community

About Us

We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded in 2022 as a spin-out from a leading UK research institution, we are backed by prominent venture capital firms with experience investing in AI, life sciences, and deep tech startups.

What We’re Building

At the core of our technology is a proprietary AI-powered SaaS platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing.

We are currently seeking a DevOps / MLOps Engineer to help scale our cloud infrastructure and machine learning workflows as part of our growing technical team.

Key Responsibilities

• Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists.
• Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists.
• Build and support GPU-accelerated environments for training and real-time inference of deep learning models.
• Deploy and manage ML pipelines using tools like Docker, Kubernetes, and frameworks such as Kubeflow or Ray.
• Create and document APIs that enable internal and external users to access data and model outputs.
• Implement secure authentication and authorization systems for platform users.
• Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness).
• Automate testing, training, and deployment of models through robust CI/CD pipelines.
• Monitor and troubleshoot performance issues across data and inference workflows in production.

What We’re Looking For

• 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles.
• Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP.
• Expertise in Terraform and infrastructure-as-code practices.
• Solid experience deploying workloads with Kubernetes, including cluster and node management.
• Familiarity with ML workload orchestration using Docker, Kubeflow, Ray, or similar tools.
• Skilled in Python and comfortable working with SQL and data processing tools.
• Understanding of the machine learning lifecycle from data ingestion to inference.
• Experience handling large-scale datasets and optimizing data pipelines.
• Strong communication skills and the ability to clearly document complex systems.
• A self-driven mindset and interest in staying current with trends in cloud, data, and ML tools.
• Experience leading infrastructure efforts in greenfield or early-stage environments.

Nice to Have

• Experience working on SaaS platforms in biotech, healthcare, or life sciences.
• Experience with real-time ML inference and production monitoring.
• Familiarity with computer vision models and workflows.
• Understanding of data privacy regulations and scientific data formats (e.g., TIFF, OME-TIFF).
• Background working in early-stage startups (seed or Series A).

What We Offer

• Competitive salary and benefits.
• Growth opportunities and professional development.
• A collaborative, forward-thinking environment at the intersection of AI and biotechnology.
• A meaningful mission with the potential to impact healthcare through innovation in science and technology.

Why Join Us

You'll be part of a rapidly growing, interdisciplinary team working on complex challenges in AI and biology. Your contributions will shape the technical foundation of our product and accelerate both scientific discovery and therapeutic development. This is an opportunity to make a tangible impact during a pivotal stage of growth.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

Referrals increase your chances of interviewing at Enigma by 2x

Get notified about new Machine Learning Engineer jobs in United Kingdom.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

Senior Software Engineer (Python/Django)

Cambridge, England, United Kingdom 1 week ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom $35,000.00-$46,000.00 1 month ago

London, England, United Kingdom 2 weeks ago

Hemel Hempstead, England, United Kingdom 1 week ago

Software Engineer (Python) - AI Platform

London, England, United Kingdom 3 days ago

Manchester, England, United Kingdom 1 week ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 week ago

Birmingham, England, United Kingdom 1 week ago

Machine Learning Scientist II/Sr (Omics) - UK

Bristol, England, United Kingdom 5 days ago

Reading, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

Junior Software Engineer (Integration Team)

London, England, United Kingdom 2 days ago

London, England, United Kingdom 3 weeks ago

Worcester, England, United Kingdom 1 week ago

Senior Machine Learning Engineer (must be UK based)

London, England, United Kingdom 1 week ago

Edinburgh, Scotland, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

Senior Machine Learning Scientist (UK Remote)

Birmingham, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.