Applied ML Engineer: Deploy AI in Production (Equity)

SR2; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

SR2 is seeking an Applied Machine Learning Engineer to deploy advanced AI systems across client environments and industries. You will work alongside frontier AI researchers to turn research into practical, production-ready solutions.

You will own projects from discovery to deployment, build data pipelines and ML infrastructure, and collaborate with technical stakeholders across multiple industries in London.

Qualifications

• Proven track record deploying ML systems to production.
• Strong Python and software engineering skills.
• Experience across multiple client environments.
• Broad knowledge of ML, data engineering and production infra.
• Experience with LLMs or AI agents.
• Able to work independently on ambiguous technical challenges.
• Excellent communication with technical stakeholders.

Responsibilities

• Deploy advanced AI and ML systems into complex customer environments.
• Work with technical stakeholders to understand infra, data and workflows.
• Build data pipelines, APIs, evaluation frameworks and ML infra.
• Adapt research prototypes for reliable production use across environments.
• Develop agentic AI workflows involving LLMs, tools, code execution and experiments.
• Diagnose performance issues and improve deployed AI systems.
• Feed deployment insights back to research and engineering teams.
• Take ownership from discovery through deployment and iteration.

Skills

Python

Production ML deployment

Multi-environment deployments

LLMs / AI agents

Data engineering

Problem solving

Communication

Job description

SR2 is seeking an Applied Machine Learning Engineer to deploy advanced AI systems across client environments and industries. You will work alongside frontier AI researchers to turn research into practical, production-ready solutions.

You will own projects from discovery to deployment, build data pipelines and ML infrastructure, and collaborate with technical stakeholders across multiple industries in London.