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Register Interest - Level 6 AI​/Machine Learning Degree Apprenticeship

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Financial Conduct Authority (FCA)
Apprenticeship/Internship position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 21000 - 25000 GBP Yearly GBP 21000.00 25000.00 YEAR
Job Description & How to Apply Below

The Level 6 Machine Learning Apprenticeship Programme aims to prepare you for a career in data-driven regulation. This role is designed for an apprentice to further develop practical skills in artificial intelligence, data analysis and machine learning while supporting our Data Technology and Innovation teams to use data and technology to improve decision making, insight and operational efficiency.

To apply for this programme, you will need to have:

  • 2 A-Levels or equivalent at grade C
  • 5 GCSE’s or equivalent at grade 4 (C) – 9 (A) including Maths and English

And at least one of the following:

  • An A-Level in a STEM subject (e.g., maths, science, computing)
  • A Level 4+ technical apprenticeship (e.g., software engineering, Dev Ops, data engineering, data analyst or similar coding-based programme)
  • 2+ years industry experience in a technical role involving programming, software development or data analysis
  • A demonstrable interest in coding or data, supported by personal or academic projects

By the end of the programme, you’ll be ready for roles across the FCA’s Data, Digital and Technology teams as a data science professional.

Key Responsibilities

As an AI/Machine Learning Apprentice, you will:

  • Support the development and testing of machine learning and predictive models, helping with model build activities under guidance, contributing to experimentation, and testing outputs to ensure models meet agreed objectives
  • Prepare, explore and understand data for analysis and modelling, including supporting data collection, cleaning and validation, and carrying out exploratory data analysis to assess data quality, structure and suitability
  • Assist with feature engineering, model evaluation and performance monitoring by helping to identify relevant features, assess model performance, and support ongoing checks to ensure models remain accurate and reliable over time
  • Apply responsible AI, ethics and governance principles throughout model development, working in line with established policies and standards and building understanding of ethical, legal and regulatory considerations, particularly in a public sector context
  • Work with stakeholders to understand analytical challenges and help translate them into data‑driven solutions, including supporting discussions with colleagues and business users, clarifying requirements, and helping shape appropriate analytical approaches
  • Document your work clearly and consistently, including data sources, assumptions, modelling decisions, limitations and outcomes, so that analysis is transparent, reproducible and accessible to others
  • Contribute to the collaborative, agile delivery of data and analytics work by actively participating in team meetings, sprint activities and knowledge sharing, working effectively with colleagues, and balancing delivery tasks alongside apprenticeship learning requirements
You’ll Benefit From
  • Formal learning aligned to your apprenticeship programme
  • Bespoke induction and training
  • Networking opportunities
  • Social events with your apprenticeship cohort
  • Opportunities to hear from senior speakers across the business
What We Look For

We are looking for candidates who are curious and motivated to develop in a professional environment. Your ability to build relationships at all levels will help you thrive in a role here.

For this L6 apprenticeship, we are looking for individuals with a passion for programming in addition to the academic/work-based requirements listed above.

Our colleagues are from a wide range of backgrounds; you’ll learn and develop your skills through working in a team alongside experienced colleagues.

What We Offer
  • Rewarding work environment and flexible working options
  • Commitment to diversity and inclusion
  • Wellbeing resources and support
  • Career and family…
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