Lead Machine Learning Engineer, Associate Director (London)

The Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a principal machine learning or AI engineer to be part of a team dedicated to building and supporting Generative AI, Machine learning, Deep Learning, and Data science solutions across the organization. The position will be based out of either our London or Manchester office.

Responsibilities

• Work closely/as part of the product squads to build, integrate, and deploy GenAI, multi-AI-Agents and data science solutions.
• Ensure sharing best practices and learnings with other squad members.
• Design and spearhead the development of Gen AI, AI Agents and MLOps platforms, applications, and solutions driven by GenAI, deep learning and machine learning to address business challenges and elevate product performance.
• Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases.
• Work closely with AI implementation, governance, and enterprise architecture squads to apply the appropriate standards.
• Keep abreast of the latest vendors across different areas of emerging technologies and actively participate in vendor evaluations and tool assessments for relevant use cases.
• Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business.
• Develop and deploy machine learning and gen AI solutions to meet enterprise goals and support experimentation and innovation.
• Collaborate with data scientists to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals.
• Design and develop scalable solutions and GenAI and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements.
• Actively participate in maintaining SLAs for Production applications and support.
• Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions.
• Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows.
• Use Python/Java and large‑scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems.

Qualifications

• Work experience as an ML or AI engineer (5+ years).
• Prior experience developing production‑quality Python is essential.
• Deep understanding of Agentic AI systems and multi‑agent architectures.
• Proficiency in machine learning and deep learning algorithms such as deep learning, NLP, neural networks, multi‑class classifications, decision trees, support vector machines.
• Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source version control, optimization).
• Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLMs.
• Experience building/enhancing search and information retrieval systems.
• Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc.
• Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc.
• Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research‑based field.

Desired Skills

• Passionate about the power of data and predictive analytics to drive better business outcomes for customers.
• Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast‑paced environment.
• Familiarity with credit ratings agencies, regulations, and data products around the world.
• Outstanding written and verbal communication skills.
• A champion of good code quality and architectural practices.
• Strong interpersonal skills and ability to work proactively and as a team player.

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 interests 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 Group 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.