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Python AI Engineer Hybrid

Remote / Online - Candidates ideally in
Knutsford, Cheshire, WA16, England, UK
Listing for: Capgemini
Full Time, Remote/Work from Home position
Listed on 2026-03-06
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Python AI Engineer  Full time Hybrid

Job Title:

Python AI Engineer

Location:

Knutsford, UK

Hybrid

About the Job you are considering:

We are seeking experienced Python AI Engineer with strong expertise in Banking domain who will oversee the planning, execution, and successful delivery of projects.

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:

We are looking for an AI Engineering Innovation team to design and deliver next generation AI solutions for strategic business use cases. The team already includes several Barclays technologists, and we are expanding with AI engineers and developers who are passionate about solving complex technical problems using modern AI LLMs and cloud native engineering. If you are a strong Python developer with hands on experience in AI engineering agentic frameworks and Azure ecosystem and enjoy working in fast paced collaborative environment this is the role for you.

Key Responsibilities
  • Develop scalable AILLM based solutions using Python Lang Chain Lang Graph and related agentic frameworks
  • Build, optimize and deploy agentic AI workflows, multiagent architectures and retrieval augmented systems
  • Contribute to design and implementation of LLM observability evaluation workflows, prompt monitoring and model performance instrumentation
  • Collaborate with Data Scientists and AI Engineers to integrate machine learning models into production systems
  • Work with Azure cloud services to build secure resilient and scalable data

    AI pipelines (Azure OpenAI, Azure Functions, Azure Storage, AKS etc.)
  • Participate in architectural discussions, technical design reviews and code reviews
  • Support continuous improvement through innovation experimentation and rapid prototyping
  • Work closely within a cross functional and globally distributed team while contributing to team culture, knowledge sharing and engineering best practices
Your Skills
  • Strong hands-on experience as a Python Developer with solid coding, debugging and problem solving skills
  • Experience in AI engineering with practical exposure to building LLM based or agentic AI solutions
  • Familiarity with Lang Chain, Lang Graph or similar agentic LLM orchestration frameworks
  • Understanding of LLM observability evaluation metrics, prompt evaluation guardrails and model lifecycle management
  • Experience working with Azure Cloud services and cloud native application development
  • Good understanding of data structures, algorithms, integration patterns and API based systems
  • Strong team player with the ability to learn quickly, adapt to new tools, technologies and contribute in a greenfield environment
  • Good to Have:
  • Exposure to vector databases, embeddings, RAG architectures
  • Experience with CICD pipelines and Dev Ops practices
  • Knowledge of AI safety governance and responsible AI principles
  • Experience in enterprise grade application delivery within banking or financial services;
    Successful delivery of pilot to scalable production solution
We are a Disability Confident

Employer:

Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

  • Declare they have a disability
  • Meet the minimum essential criteria for the role

Please opt in during the application process.

Make It Real (what does it mean for you):
  • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
  • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from think tanks to hackathons, and access to…
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