AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer in Banking, offering a competitive salary for a hybrid position in London. Key skills include Python, Azure AI services, and LLM experience. Requires strong communication skills and collaboration in a regulated environment.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
-
🗓️ - Date discovered
June 6, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #Terraform #Azure #Security #API (Application Programming Interface) #AWS (Amazon Web Services) #Python #Automation #Compliance #GitLab #Lean #Cloud #AI (Artificial Intelligence) #Jupyter #Monitoring
Role description
🚀 AI Engineer – Banking | London | Hybrid 3 Days
Salary: Competitive | Travel: Limited UK travel as needed
Join a forward-thinking bank scaling AI adoption to boost productivity and innovation. Be part of an established team focused on automation, process optimisation, and GenAI.
🔍 Role Highlights:
Design & deploy AI language models, agents, and solutions using Azure ML, OpenAI, Python, and AutoML
Drive prompt engineering and support MS Copilot adoption
Help shape AI governance, risk assessments, and compliance frameworks
Collaborate with Security, Data Protection, and Cloud Engineering teams
Stay at the forefront of AI advancements in a highly regulated environment
✅ Must-Haves:
Strong Python, Jupyter, API development, and LLM experience
Solid grasp of Azure AI services and AI agent design
Strong communication & cross-functional collaboration skills
🌟 Nice-to-Haves:
RPA exposure, GitLab, Terraform
Understanding of performance monitoring, DLP, and AWS
🔄 Your Input:
Will this lean more into Azure-native tooling (Azure ML, OpenAI, Purview)?
Is there room to influence model governance, interpretability, DLP?
How deeply does the role engage with architecture vs. risk?
Any colour on team structure and onsite expectations?
Based on focus, would AI Lead be a better fit than Senior AI Engineer?
A great opportunity to help shape the future of AI in banking.
🚀 AI Engineer – Banking | London | Hybrid 3 Days
Salary: Competitive | Travel: Limited UK travel as needed
Join a forward-thinking bank scaling AI adoption to boost productivity and innovation. Be part of an established team focused on automation, process optimisation, and GenAI.
🔍 Role Highlights:
Design & deploy AI language models, agents, and solutions using Azure ML, OpenAI, Python, and AutoML
Drive prompt engineering and support MS Copilot adoption
Help shape AI governance, risk assessments, and compliance frameworks
Collaborate with Security, Data Protection, and Cloud Engineering teams
Stay at the forefront of AI advancements in a highly regulated environment
✅ Must-Haves:
Strong Python, Jupyter, API development, and LLM experience
Solid grasp of Azure AI services and AI agent design
Strong communication & cross-functional collaboration skills
🌟 Nice-to-Haves:
RPA exposure, GitLab, Terraform
Understanding of performance monitoring, DLP, and AWS
🔄 Your Input:
Will this lean more into Azure-native tooling (Azure ML, OpenAI, Purview)?
Is there room to influence model governance, interpretability, DLP?
How deeply does the role engage with architecture vs. risk?
Any colour on team structure and onsite expectations?
Based on focus, would AI Lead be a better fit than Senior AI Engineer?
A great opportunity to help shape the future of AI in banking.
