Senior Machine Learning Engineer (Manchester)

Overview

In this role you will lead the design and deployment of Gen AI, ML, and data science solutions across Fitch. You’ll collaborate with product squads to scale AI capabilities and govern responsible AI practices. You will shape platforms, workflows, and best practices for enterprise AI while engaging with vendors and stakeholders. This is a high-visibility position within a fast-moving, collaborative environment that values innovation and impact.

Pay / Benefits

• high impact role with visibility
• work on flagship Fitch products
• opportunity to work at cutting-edge ML/DS
• good work-life balance
• hybrid work arrangement

Responsibilities

• Build, integrate, and deploy GenAI, multi-Agent systems, and data science solutions with product squads
• Design and drive GenAI, AI Agents, and MLOps platforms to address business challenges and improve product performance
• Establish standards for the AI engineering tech stack and ML models across enterprise use cases
• Collaborate with governance, architecture, and implementation squads to apply appropriate standards
• Stay current on emerging technology vendors, perform evaluations, and onboard suitable solutions
• Communicate complex data science concepts in business-friendly terms and demonstrate applicability
• Develop and deploy ML/GenAI solutions to meet enterprise goals and support experimentation
• Partner with data scientists to identify innovative ML/GenAI solutions aligned with business goals
• Design scalable GenAI/ML workflows and ensure production SLAs
• Create metrics to monitor model performance and continually improve ML outcomes
• Leverage AWS and Azure for cloud infrastructure to enable data loading and LLM workflows
• Use Python/Java and Airflow to build ETL artifacts and robust data workflows
• Maintain and improve software artifacts and ensure robust data interfacing across formats and storage

Key requirements

• 5+ years of ML/AI engineering experience
• Production-quality Python development expertise
• Deep understanding of Agentic AI systems and multi-agent architectures
• Proficiency in ML/DL algorithms (including NLP, neural networks, multi-class classification, decision trees, SVM)
• Strong software/ML development fundamentals (code quality, automated testing, version control, optimization)
• Experience building GenAI frameworks and finetuning LLMs
• Experience building/enhancing search and information retrieval systems
• Experience with containerization (Docker, Kubernetes, AWS EKS)
• Knowledge of AWS and Azure infrastructure/services (e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, Azure OpenAI, Azure blob storage)
• Master’s degree in related field

• excellent communication
• team-oriented and proactive
• ability to work in fast-paced environments
• Python
• Java
• Gen AI frameworks and LLM fine-tuning

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