Machine Learning Engineer, Manchester

Fitch Group is currently seeking a Machine Learning Engineer based out of our Manchester 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

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