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Talent Locker

AI/ML Engineer

Talent Locker City of London
75,000 to 82,000
32 - 40 hour


Show Recently closed jobs

    Talent Locker

    AI/ML Engineer

    Talent Locker City of London
    75,000 to 82,000
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £75,000 to £82,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    AI/ML Engineer

    Up to £82,000 + Bonus + Outstanding Benefits + London/Hybrid

    If you're an AI Engineer who wants to build production AI solutions rather than endless proof of concepts, this is an opportunity to help shape how enterprise AI is adopted across a global organisation.

    You'll be responsible for designing, deploying and optimising machine learning models, LLM-powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value.

    This is an engineering role with genuine ownership. You'll be involved throughout the AI lifecycle, from designing and deploying solutions through to monitoring, optimisation and governance. You'll also work with modern AI technologies and help influence how they're adopted across the wider business.

    You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool-calling patterns.

    You'll need experience with:

    Deploying LLMs and machine learning models into Azure enterprise environments.
    Azure Databricks, Azure Machine Learning and ideally Azure AI Foundry.
    Building production AI applications using LangChain, LangGraph and Python.
    MLOps / LLMOps including deployment, monitoring, governance and lifecycle management.
    RAG, vector databases, prompt engineering and tool-calling patterns.
    Building end-to-end AI/ML pipelines from data preparation through to production.
    Working with technical and business stakeholders to deliver AI solutions.

    Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/CD and Azure Data Factory.

    What's on offer

    Up to £82,000 salary
    Annual performance bonus
    28 days' holiday plus bank holidays, with the option to buy more
    Private medical insurance
    Excellent pension, life assurance and a flexible benefits packageIf you're already working in AI and want to spend more time building modern, production-ready LLM and agentic AI solutions using one of the strongest Azure AI stacks available, this role offers the chance to make a genuine impact while continuing to develop with a fast-moving technology landscape
    Salary description

    £75000.00 - £82000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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