Machine Learning Engineer, Associate Director (London)
Role Overview
Fitch Ratings is hiring a Machine Learning Engineer for AI Innovation teams in London to build AI capabilities for financial analysis.
The role is described as a senior individual-contributor position with no direct people-management responsibilities.
The posting also describes the position as a Lead ML Engineer, creating an inconsistency with the source title, Machine Learning Engineer, Associate Director.
Key Skills for This Role
Full Job Posting
Role overview
Fitch Ratings is hiring a Machine Learning Engineer for AI Innovation teams in London to build AI capabilities for financial analysis.
The role is described as a senior individual-contributor position with no direct people-management responsibilities.
The posting also describes the position as a Lead ML Engineer, creating an inconsistency with the source title, Machine Learning Engineer, Associate Director.
Responsibilities
- Design and architect new generative AI solutions, agentic workflows, and intelligent platforms using ML frameworks, LLMs, and emerging AI technologies.
- Explore generative AI, multi-agent systems, RAG architectures, and model fine-tuning.
- Partner with engineering leaders, product teams, and engineers to deliver AI solutions at scale.
- Establish ML architecture, technical standards, engineering practices, governance frameworks, and AI integration patterns.
- Mentor and coach fellow ML engineers while remaining hands-on.
- Build production systems for analysts and financial professionals, including work at the intersection of NLP, document intelligence, reasoning, and deployment.
Technical focus
- The description names PyTorch as an example ML framework and refers to LLMs, agentic AI, multi-agent systems, RAG, NLP, document intelligence, and model fine-tuning.
- Work includes model architecture, governance, and production-scale deployment.
Role context
The team is presented as a new AI initiative with enterprise resources, research collaboration, and investment in ML infrastructure.
The supplied description ends mid-sentence during the duties section; qualifications and remaining duties may be missing.
Requirements
- The role is a senior individual-contributor position intended for someone who remains deeply hands-on; it has no direct people-management responsibilities.
- Machine learning engineering expertise and strong engineering judgment to influence technical decisions.
- Experience or capability in architecting and delivering AI/ML systems, including generative AI and agentic workflows.
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