Senior ML Engineer: Build & Scale Real-Time AI Pipelines

Madfish; United Kingdom; Remote; GBP 100,000 - 125,000; Full time

Job summary

A leading AI startup in the UK is looking for a Senior ML Engineer to design and optimize large-scale models. You'll be responsible for building ML pipelines, mentoring teammates, and ensuring compliance across the ML lifecycle. The ideal candidate has over 5 years of experience, strong Python skills, and expertise in MLops, including Docker and Kubernetes. Competitive pay and equity offered, with opportunities to shape the future of AI in healthcare.

Benefits

Competitive equity & pay

Work closely with experienced founders

Fast-paced work environment

Qualifications

• 5+ years as an ML Engineer or applied ML researcher with production model deployment experience.
• Solid understanding of model evaluation, A/B testing, and ML performance metrics.
• Excellent collaboration skills with product, backend, and data teams.

Responsibilities

• Design, fine-tune, and evaluate large language models and neural networks.
• Build robust ML pipelines including data ingestion and model training.
• Mentor junior ML teammates and establish team-level best practices.

Skills

Strong Python skills

Experience with ML frameworks (TensorFlow, PyTorch)

Expertise in MLops (Docker, Kubernetes)

Collaboration skills

Tools

Docker

Kubernetes

HuggingFace

Job description

A leading AI startup in the UK is looking for a Senior ML Engineer to design and optimize large-scale models. You'll be responsible for building ML pipelines, mentoring teammates, and ensuring compliance across the ML lifecycle. The ideal candidate has over 5 years of experience, strong Python skills, and expertise in MLops, including Docker and Kubernetes. Competitive pay and equity offered, with opportunities to shape the future of AI in healthcare.