AI Engineer/Developer

Michael Page Technology
Ec4A3Hq, United Kingdom
Today
£60,000 – £75,000 pa

Salary

£60,000 – £75,000 pa

Posted
1 Oct 2026 (Today)

Our client is in the Financial Sector and is looking to grow their team with a new AI Engineer. The role is hybrid with 2 days in Central London, 3 days at home. This is a brand new role in the AI team of 20 to work on new projects and products, using data to make smarter, better decisions.

Client Details

Our client is in the Financial Sector and is looking to grow their team with a new AI Engineer. The role is hybrid with 2 days in Central London, 3 days at home. This is a brand new role in the AI team of 20 to work on new projects and products, using data to make smarter, better decisions.

Description

  • Design, develop, and implement AI-driven solutions to address complex business challenges.
  • Collaborate with cross-functional teams to integrate AI technologies into existing systems.
  • Research and apply advanced machine learning algorithms and techniques to improve business processes.
  • Analyse large datasets to derive actionable insights and drive data-driven decision-making.
  • Develop and maintain scalable AI models using industry best practices.
  • Monitor the performance of AI systems and troubleshoot issues as they arise.
  • Provide technical expertise and guidance to colleagues and stakeholders.
  • Stay up-to-date with emerging trends and advancements in AI and machine learning.

Profile

Must haves:

  • Software Engineering experience - ideally C# or Python
  • Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc)
  • Experience dealing with stakeholders, working with a wider tech team, collabortation etc
  • Experience designing, testing and deploying production-scale GenAI (not just proof of concepts)

Then a mixture of the following on top:

  • GenAI
  • LLM APIs
  • Experience designing, testing and deploying AI/ML solutions
  • Chat Bots / Agents
  • FastAPI
  • Microsoft Agent Framework
  • LangChain
  • Vector database
  • ML Engineering

Job Offer

  • Car allowance of 5k
  • Private medical
  • 25 days + BHS
  • Option to buy 10 more holidays
  • Matched pension
  • Life assurance

Related Jobs

View all jobs
Spotlight

Programme Manager (Forward Deployed)

M-1 Intelligence London, United Kingdom
£60,000 – £75,000 pa Remote

AI Labs Software Engineer Python Developer Finance London

eFinancialCareers London, United Kingdom
£110,000 – £140,000 pa

Lead AI Labs Software Engineer Python Developer Finance London

eFinancialCareers London, United Kingdom

Applied AI Engineer, Codex

OpenAI London, United Kingdom
Hybrid

Applied AI Engineer, Startups (Codex)

OpenAI London, United Kingdom
On-site

Applied AI Engineer, DNB

Anthropic London, United Kingdom

Applied AI Engineer, Startups

Anthropic London, United Kingdom

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.