Applied ML Engineer

SR2; Greater London; Presencial; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

Production ML deployment

Multi-environment deployments

LLMs / AI agents

Data engineering

Problem solving

Communication

Descripción del empleo

I'm hiring an Applied Machine Learning Engineer to take ownership of deploying advanced AI systems in client-facing environments, working across a variety of industries, data environments and technical challenges.

This is an opportunity to work directly alongside frontier AI researchers while taking responsibility for the practical engineering needed to make ambitious research useful in production.

What You'll Be Doing

• Deploy advanced AI and machine learning systems into complex customer and partner environments.
• Work directly with technical stakeholders to understand their infrastructure, datasets, workflows and operational challenges.
• Build and integrate data pipelines, APIs, evaluation frameworks and ML infrastructure.
• Adapt research prototypes to work reliably across different technical environments.
• Develop agentic AI workflows involving LLMs, external tools, code execution and automated experimentation.
• Diagnose performance issues and identify where deployed AI systems can be improved.
• Feed real-world deployment insights back into the core research and engineering teams.
• Take ownership of projects from technical discovery through implementation, deployment and iteration.

What We're Looking For

• Strong software engineering skills, particularly in Python.
• Proven experience deploying machine learning systems into production.
• Experience working across multiple customer, client or partner environments, rather than exclusively maintaining one internal ML product.
• Broad knowledge of machine learning, data engineering and production infrastructure.
• Experience working with LLMs, AI agents or research-oriented ML systems.
• Confidence navigating unfamiliar codebases, data environments and technical architectures.
• Strong problem-solving skills and the ability to work independently on ambiguous technical challenges.
• Excellent communication skills and experience working directly with technical stakeholders.

Why Consider It?

• Work directly with a team conducting fundamental frontier AI research.
• Help turn advanced AI capabilities into practical systems used by real organisations.
• Gain exposure to multiple industries, technical environments and scientific challenges.
• Take significant ownership in a small, highly technical team.
• Competitive compensation and equity participation.