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Select how often (in days) to receive an alert:Machine Learning Engineer, LondonBusiness Unit: Fitch GroupCategory: Information TechnologyFitch 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 Groups culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the worlds 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.Fitch''s Technology and Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).Driven by our investment in cutting-edge technologies like AI and cloud solutions, were home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a Best Place to Work in Technology 3 years in a row. Want to learn more about a career in technology and data at Fitch?The Fitch Groups 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. The AI Chapters team objectives:Implement AI and ML technology in collaboration with Fitch Ratings business partners and product squadsDevelop and support enterprise-level AI exploration tools and capabilitiesProvide guidance for efficient and secure development and deployment of AIEstablish and maintain guidelines and processes for AI/ML governanceWork 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 and ML concepts to stakeholders, focusing on applicability to Fitch use casesCollaborate in developing and deploying ML and 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 and Gen AI to meet enterprise requirements.Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutionsUse 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 systems3+ years of work experience as an AI/ML engineer- 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 and services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelors degree (masters or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field

Experience developing/integrating functionality for/in Document Management Systems and content management systemsExperience supporting prototyping teams to enable seamless transition from prototype to development and deploymentExperience building agentic workflows powered by language modelsPassion for using data and ML to drive better business outcomes for customersProven ability to collaborate with non-AI/ML teams to integrate AI solutions into broader workflows and projects.Familiarity with credit ratings agencies, regulations, and data productsExcellent written and verbal communication skills Advocate of good code quality and architectural practicesHybrid Work Environment: 2 to 3 days a week in office required based on your line of business and locationDedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunityRetirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goalsComprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeingSupportive Parenting Policies:

Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectivelyDedication to Giving Back:

Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your communityIf 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.We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.#