Remote MLOps Engineer for Scalable Molecular Modeling

Boltz; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Boltz in London is seeking an experienced MLOps Engineer to optimize, deploy, and operate large-scale models powering Boltz Lab. You will translate research models into production services, optimize training and inference, and scale workloads across multi-GPU and cloud environments.

You will work closely with ML researchers, implement CI/CD for ML, manage experiments and model versioning, and maintain reliable, cost-efficient systems with a strong sense of ownership and operational excellence.

Qualifications

• 5+ years in industry
• Strong experience deploying ML models in production
• Ability to optimize training and inference workloads
• Hands-on with distributed frameworks and tooling
• Hands-on experience with PyTorch and scientific Python
• Strong understanding of MLOps, experiment tracking, versioning, and CI/CD
• Strong software engineering fundamentals for reliable ML infra
• Comfortable collaborating with ML researchers

Responsibilities

• Optimize, deploy and operate ML models at scale
• Turn trained models into production-ready services
• Profile, improve throughput, reduce memory/compute usage
• Scale workloads across multi-GPU and cloud environments

Skills

Model deployment

Production ML

Profiling

Distributed systems

PyTorch

Python

ML CI/CD

System design

Software engineering

Collaboration

Job description

Boltz in London is seeking an experienced MLOps Engineer to optimize, deploy, and operate large-scale models powering Boltz Lab. You will translate research models into production services, optimize training and inference, and scale workloads across multi-GPU and cloud environments.

You will work closely with ML researchers, implement CI/CD for ML, manage experiments and model versioning, and maintain reliable, cost-efficient systems with a strong sense of ownership and operational excellence.