Senior Machine Learning Engineer

Salary: £65,000 - 105,000 per year

Requirements:

• We are seeking a senior machine learning or AI engineer with 5+ years of work experience.
• Production-quality Python experience is essential.
• Strong understanding of Agentic AI systems and multi-agent architectures.
• Proficiency in machine learning and deep learning algorithms, including NLP, neural networks, multi-class classification, decision trees, and support vector machines.
• Strong adherence to software and ML development fundamentals, including code quality, automated testing, source version control, and optimization.
• Experience building GenAI frameworks and leveraging and/or fine-tuning LLMs.
• Experience building or enhancing search and information retrieval systems.
• Exposure to containerization technologies such as Docker, Kubernetes, and AWS EKS.
• Knowledge of cloud infrastructure and services from AWS and Azure, including AWS Bedrock, AWS S3, AWS SageMaker, Azure AI Search, Azure OpenAI, and Azure Blob Storage.
• A masters degree or above in machine learning, data science, computer science, applied mathematics, or another research-based field.
• Familiarity with credit ratings agencies, regulations, and data products around the world would be an advantage.
• Outstanding written and verbal communication skills.
• Strong interpersonal skills and the ability to work proactively and as part of a team.

Responsibilities:

• Work closely with product squads to build, integrate, and deploy GenAI, multi-AI-agent, and data science solutions.
• Share best practices and learnings with other squad members.
• Design and lead the development of GenAI, AI agent, and MLOps platforms, applications, and solutions.
• Build standards and recommendations for the AI engineering tech stack and data science models used across enterprise AI use cases.
• Work with AI implementation, governance, and enterprise architecture squads to apply the appropriate standards.
• Keep up to date with vendors across emerging technologies and take part in vendor evaluations and tool assessments.
• Onboard suitable solutions into the platform where appropriate.
• Communicate advanced data science and ML concepts in simple language to business stakeholders, focusing on business applicability.
• 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 use data to meet business goals.
• Design and develop scalable GenAI and ML workflows that leverage machine learning, GenAI, and deep learning models to meet enterprise requirements.
• Help maintain SLAs for production applications and support.
• Create metrics to continuously evaluate machine learning solution performance and improve existing solutions.
• Build using AWS and Azure cloud services to provide infrastructure, resources, and interfaces for data loading and LLM workflows.
• Use Python, Java, and large-scale workflow orchestration platforms such as Airflow to build ETL artifacts, interface with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems.

Technologies:

• Agentic AI
• AI
• Airflow
• AWS
• Azure
• Cloud
• Docker
• ETL
• Fine-tuning
• Support
• Java
• Kubernetes
• LLM
• Machine Learning
• MLOps
• Python
• AI Agents
• Network

More:

We are the Fitch Group Emerging Technology AI Center of Excellence, based in our London or Manchester office, and we are seeking a senior machine learning or AI engineer to join a team dedicated to building and supporting Generative AI, machine learning, deep learning, and data science solutions across our organization. This is a high-impact role with significant visibility, working on flagship Fitch products and in a cutting-edge field with an excellent opportunity to grow in machine learning and data science. We offer a strong work culture and a good work-life balance. Fitch Group values diverse perspectives, collaboration, and an open exchange of ideas, and we are committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. We are also an Equal Opportunity and Affirmative Action Employer.

last updated 40 week of 2026