Lead Machine Learning Engineer (Manchester)

Position Overview

We are seeking a Principal Machine Learning / AI Engineer at Fitch Group. This role will be part of the Emerging Technology AI Center of Excellence (COE) and based in London or Manchester. You will build and support Generative AI, machine learning, deep learning, and data science solutions across the organization, while ensuring governance, safety, and best‑practice standards.

Core Responsibilities

• Work closely as part of product squads to build, integrate, and deploy GenAI, multi‑AI‑Agents and data science solutions, sharing best practices with teammates.
• Design and spearhead the development of Gen AI, AI Agents, and MLOps platforms, applications, and solutions driven by Gen AI, deep learning, and machine learning to address business challenges and enhance product performance.
• Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases.
• Collaborate with AI implementation, governance, and enterprise architecture squads to apply appropriate standards.
• Keep abreast of the latest vendors in emerging technologies and actively participate in vendor evaluations and tool assessments for relevant use cases, onboarding suitable solutions into the platform.
• Effectively communicate advanced data science/ML concepts in simple language to business stakeholders, focusing on 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, testing, source version control, and optimization.

Required Experience & Knowledge

• 5+ years as an ML or AI engineer with production‑quality Python experience.
• Deep understanding of agentic AI systems and multi‑agent architectures.
• Proficiency in machine learning and deep learning algorithms, including deep learning, NLP, neural networks, multi‑class classification, decision trees, and support vector machines.
• Strong adherence to software and ML development fundamentals: code quality, automated testing, CI/CD, and version control.
• Prior experience building Gen AI frameworks and fine‑tuning LLMs.
• Experience building or enhancing search and information retrieval systems.
• Experience with containerization technologies such as Docker, Kubernetes, and AWS EKS.
• Knowledge of cloud vendor services (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 another research‑based field.

Desired Skills & Attributes

• 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 remain productive in a fast‑paced setting.
• Familiarity with credit‑rating agencies, regulations, and data products worldwide.
• 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.

Benefits

• High‑impact role with significant visibility.
• Opportunity to work on flagship Fitch products.
• Excellent work culture with a good work‑life balance.

Equal Opportunity

Fitch Group is proud to be an Equal Opportunity and affirmatively action employer.

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