AI/ML Engineer
Posted on Jul 1, 2026 by CV-Library
City of London, City and County of the City of London, United Kingdom
IT
Immediate Start
£75k - £82k Annual
Full-Time
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
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
Reference: 225315745
https://jobs.careeraddict.com/post/113493987
AI/ML Engineer
Posted on Jul 1, 2026 by CV-Library
City of London, City and County of the City of London, United Kingdom
IT
Immediate Start
£75k - £82k Annual
Full-Time
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
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
Reference: 225315745
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