Principal Machine Learning/AI Engineer

Job title: Principal Machine Learning/AI Engineer

About the Role Lead the design, development, and deployment of GenAI, ML/DL and data science solutions as part of Fitch Group's Emerging Technology AI Center of Excellence. The role is based in London or Manchester and offers high impact with visibility into flagship Fitch products.

What You'll Do

• 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. Where appropriate, onboard the right solutions into the platform.
• Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders, always focusing on applicability to Fitch business.
• Develop and deploy machine learning and GenAI solutions to meet enterprise goals and support experimentation and innovation.
• Collaborate with data scientists to identify innovative machine learning and GenAI solutions that leverage data to meet business goals.
• Designs and develops scalable GenAI and ML workflows that leverage machine learning, GenAI 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 ones.
• 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.

What We're Looking For

• Work experience as a 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 (Deep learning, NLP, Neural networks, multi-class classifications, decision trees, SVM).
• Strong adherence to software and ML development fundamentals (code quality, automated testing, source version control, optimization).
• Prior experience 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 infrastructure & services (AWS and Azure) such as AWS Bedrock, S3, SageMaker, Azure AI Search, Azure OpenAI, Azure Blob Storage.
• Master's degree or above in Machine learning/data science, computer science, applied mathematics or a research-based field.

Nice to Have

• Passionate about the power of data and predictive analytics to drive better business outcomes for customers.
• Proven ability to work effectively in a distributed environment and in a fast-paced setting.
• Familiarity with credit ratings agencies, regulations, and data products worldwide.
• Outstanding written and verbal communication skills.
• Champion of good code quality and architectural practices; strong interpersonal skills and team orientation.

Compensation & Benefits

• The posting emphasizes high impact and visibility, cross-functional collaboration, and cutting-edge work in ML/AI, with a focus on work-life balance, but no specific salary or benefits are listed.