Azure AI Engineer for Production ML & LLM Solutions

Talent Locker Ltd; Greater London; Hybrid; GBP 73,800 - 90,200; Full time

Benefits offered by this job

28 days' holiday plus bank holidays

Private medical insurance

Excellent pension and life assurance

Job summary

Talent Locker Ltd in Greater London is seeking an AI/ML Engineer who is passionate about building production AI solutions rather than proof of concepts. This position involves designing, deploying, and optimising machine learning models and AI workflows within Azure.

The ideal candidate will have experience with Azure Databricks, LangChain, and MLOps practices. The role offers an attractive salary of up to £82,000, an annual performance bonus, and a comprehensive benefits package including private medical insurance and a flexible work environment.

Qualifications

• Experience with Azure Databricks, Azure Machine Learning, and ideally Azure AI Foundry.
• Building production AI applications using LangGraph and Python.
• Desirable experience includes MLflow and Azure Data Factory.

Responsibilities

• Designing, deploying and optimising machine learning models and AI workflows within Microsoft Azure.
• Collaborating with platform engineers, data scientists, and data engineers.
• Monitoring, optimisation, and governance of AI solutions.

Skills

Deploying LLMs and machine learning models into Azure enterprise environments

Azure Databricks

LangChain

MLOps / LLMOps

Building end-to-end AI/ML pipelines

Tools

Docker

Kubernetes

GitLab CI/CD

Job description

Talent Locker Ltd in Greater London is seeking an AI/ML Engineer who is passionate about building production AI solutions rather than proof of concepts. This position involves designing, deploying, and optimising machine learning models and AI workflows within Azure.

The ideal candidate will have experience with Azure Databricks, LangChain, and MLOps practices. The role offers an attractive salary of up to £82,000, an annual performance bonus, and a comprehensive benefits package including private medical insurance and a flexible work environment.