National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer, London (London)

Fitch Group
London
2 days ago
Create job alert

Fitch Group is currently seeking a Machine Learning Engineer based out of our London office.

As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst.

About the Team

The Fitch Group's AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position could be based out of our Chicago, London, or Manchester offices.

The AI Chapter's team objectives:

  • Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads
  • Develop and support enterprise-level AI exploration tools and capabilities
  • Provide guidance for efficient and secure development and deployment of AI
  • Establish and maintain guidelines and processes for AI/ML governance

How You'll Make an Impact:

  • Work closely with or as part of product squads to build, integrate, and deploy AI and ML solutions, sharing best practices and learnings with other squad members.
  • Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases
  • Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation.
  • Collaborate with data scientists to identify innovative solutions that leverage data to meet business objectives.
  • Develop, in collaboration with senior engineers, scalable solutions and workflows that leverage ML & Gen AI to meet enterprise requirements.
  • Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions
  • Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows.
  • Use Python and large-scale data workflow orchestration platforms (e.g. Airflow) to build software artifacts for ETL, integrating diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems
  • Design and develop APIs (e.g. using FastAPI) for integration and deployment of ML models and solutions.

You May be a Good Fit if:

  • 3+ years of work experience as an AI/ML engineer
  • Experience developing production quality Python code
  • Strong adherence to software and ML development fundamentals (e.g., code quality considerations, automated testing, source version control, optimization)
  • Experience in integrating AI solutions into existing workflows
  • Experience building Generative AI frameworks, leveraging and/or finetuning LLMs. (experience building agentic workflows strongly preferred)
  • Experience building/enhancing search and information retrieval systems
  • Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc.
  • Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred)
  • Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc.
  • Bachelor's degree (master's or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field

What Would Make You Stand Out:

  • Experience developing/integrating functionality for/in Document Management Systems and content management systems
  • Experience supporting prototyping teams to enable seamless transition from prototype to development and deployment
  • Experience building agentic workflows powered by language models
  • Passion for using data and ML to drive better business outcomes for customers
  • Strong interpersonal skills and ability to work proactively as a team player
  • Proven ability to work effectively in a distributed team environment and efficiency in fast-paced settings
  • Proven ability to collaborate with non-AI/ML teams to integrate AI solutions into broader workflows and projects.
  • Experience working with cross-functional teams.
  • Familiarity with credit ratings agencies, regulations, and data products
  • Excellent written and verbal communication skills
  • Advocate of good code quality and architectural practices
  • Experience working in Java and/or JavaScript codebases

Why Choose Fitch:

  • Hybrid Work Environment:2 to 3 days a week in office required based on your line of business and location
  • A Culture of Learning & Mobility:Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity
  • Investing in Your Future:Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals
  • Promoting Health & Wellbeing:Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
  • Supportive Parenting Policies:Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively
  • Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe
  • Dedication to Giving Back:Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community


Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.


Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.


#LI-Hybrid
#LI-Group
#LI-JO


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer, London (London)

Machine Learning Engineer

Machine Learning Engineer- World-Leading Prop Trading Fund | London, UK

Machine Learning Engineer

Machine Learning Engineer - Up to £150k + Equity

Machine Learning Engineer - London (London)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.