Production ML Engineer — GenAI, MLOps & Hybrid London

La Fosse; Greater London; Híbrido; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

La Fosse is partnering with a leading consultancy in London to deliver production‑grade ML and GenAI solutions. You’ll join a high‑performing AI team designing, building and deploying models across analytics, computer vision and GenAI applications in a hybrid London setup.

Role focuses on end‑to‑end ML, MLOps, and advising clients on AI strategy, cloud adoption and governance while delivering scalable, responsible AI solutions.

Formación

• Strong commercial experience building and deploying ML models in production.
• Python and ML frameworks such as PyTorch or TensorFlow.
• Experience with MLOps, CI/CD, testing, version control and software engineering best practices.
• Strong cloud experience across AWS, Azure or GCP.
• Exposure to GenAI, LLMs, AI Agents or modern AI application development.
• Excellent client-facing and stakeholder management skills.

Responsabilidades

• Build end-to-end ML solutions, from data preparation and model development through to deployment and monitoring.
• Develop scalable MLOps frameworks, CI/CD pipelines and ML engineering best practices.
• Translate business requirements into technical solutions in collaboration with stakeholders.
• Advise clients on AI strategy, cloud adoption and operating models for ML.
• Support GenAI applications, LLM-powered tools and agentic systems.
• Drive governance, transparency and responsible AI across projects.

Conocimientos

Python

MLOps

CI/CD

Cloud platforms

GenAI/LLMs

Stakeholder management

Production ML

Herramientas

PyTorch

TensorFlow

Descripción del empleo

La Fosse is partnering with a leading consultancy in London to deliver production‑grade ML and GenAI solutions. You’ll join a high‑performing AI team designing, building and deploying models across analytics, computer vision and GenAI applications in a hybrid London setup.

Role focuses on end‑to‑end ML, MLOps, and advising clients on AI strategy, cloud adoption and governance while delivering scalable, responsible AI solutions.