Overview

Requisition ID: 48336 Business Unit: Fitch Group Category: Information Technology Location: Manchester, GB Date Posted: Jul 2, 2025 Fitch Group is seeking a Machine Learning Engineer based out of our Manchester office. Fitch Group is a global financial information services provider delivering credit and risk insights, data, and tools to support efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group includes Fitch Ratings and Fitch Solutions and is owned by Hearst. Our Technology & Data Team fosters innovation and impact, leveraging AI and cloud solutions to drive meaningful projects. Fitch was recognized by Built In as a Best Place to Work in Technology for three consecutive years. Want to learn more about a career in technology and data at Fitch? Visit: https://careers.fitch.group/content/Technology-and-Data/ About the Team

The AI Implementation Chapter is seeking a Machine Learning Engineer to build and support Generative AI, ML, and Data Science solutions across the Fitch Ratings organization. This position could be based in Chicago, London, or Manchester. The AI Chapters 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 Youll Make An Impact

Work closely with or as part of product squads to build, integrate, and deploy AI and ML solutions, sharing best practices with squad members Effectively communicate data science & ML concepts to stakeholders, focusing on Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation Collaborate with data scientists to identify innovative solutions that leverage data to meet business objectives Develop, with senior engineers, scalable ML/Gen AI workflows to meet enterprise requirements Support production applications by helping maintain SLAs and using metrics to guide improvement of ML solutions Use AWS and Azure cloud services to provide infrastructure for data loading and LLM workflows Use Python and large-scale data workflow orchestration platforms (e.g., Airflow) to build ETL artifacts and integrate them into data workflows 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 (code quality, automated testing, source control, optimization) and experience integrating AI into workflows Experience building Generative AI frameworks and/or finetuning LLMs (experience building agentic workflows preferred) Experience building/enhancing search and information retrieval systems Exposure to containerization technologies (Docker, Kubernetes, AWS EKS) Proficiency in ML algorithms (classification, trees, SVMs, neural networks; deep learning preferred) Knowledge of cloud infrastructure/services (AWS and Azure) e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI; Bachelor’s degree (master’s or higher preferred) in ML, CS, data science, applied math or related field What Would Make You Stand Out

Experience integrating functionality for Document Management or Content Management Systems Experience supporting prototyping teams from prototype to deployment Experience building agentic workflows powered by language models Passion for using data and ML to drive business outcomes Strong interpersonal skills and ability to work proactively in a team Proven ability to work in distributed, fast-paced environments Experience collaborating with non-AI/ML teams to integrate AI into broader workflows Experience working with cross-functional teams Familiarity with credit ratings agencies, regulations, and data products Excellent written and verbal communication; 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, depending on line of business and location A Culture of Learning & Mobility: Trainings, leadership development, and mentorship programs Investing in Your Future: Retirement planning and tuition reimbursement Supporting Health & Wellbeing: Comprehensive healthcare offerings Family-friendly Policies: Generous parental leave and work-life balance support Inclusive Work Environment: Collaborative culture with Employee Resource Groups Giving Back: Paid volunteer days and matched donations Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility, employees must avoid conflicts of interest and disclose any holdings or potential conflicts prior to employment. If you have holdings that could conflict with your work, you may be asked to divest before starting. Fitch is 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, or other statuses protected by law.

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