Senior Machine Learning Engineer

Machine Learning Engineer - Scalable ML Systems

Skills Alliance are supporting a venture-backed TechBio company that's building a platform to make large-scale biological datasets computable using next-generation foundation models.

They're now hiring a Machine Learning Engineer to help scale model training, inference and deployment across real-world workflows. This is a great fit for someone who enjoys working at the intersection of ML infrastructure, systems engineering and applied research.

What you'll be working on

• Building and optimising large-scale training and inference pipelines for modern architectures (Transformers, SSMs, diffusion-style models etc.)
• Improving performance, throughput and latency across distributed environments
• Designing modular ML components that can be reused across teams
• Taking research-level code and turning it into reliable, production-ready systems
• Working closely with researchers and product engineers to ship fast in an environment that iterates constantly

What they're looking for

• Strong Python engineering background
• Experience with frameworks like PyTorch, JAX or TensorFlow
• Demonstrated ability to scale ML workflows in real-world settings (cloud, GPU clusters, distributed training)
• Comfortable with MLOps tooling (W&B, Ray, Docker, etc.)
• Familiar with modern model architectures
• High ownership mindset ideal for people who enjoy low-ego, fast-moving engineering teams
• No prior biotech experience needed