Machine Learning Research Engineer (Foundational Research)

The Machine Learning Research Engineer (Foundational Research) position centres on communicate: Share technical implementations and best practices through code reviews, documentation, technical presentations, and knowledge‑sharing sessions. It would suit someone who can bring handling site-by-site responsibilities with consistency and care to the role.

Where the work sits

Communicate: Share technical implementations and best practices through code reviews, documentation, technical presentations, and knowledge‑sharing sessions. Collaborate: Work closely with a global team of research engineers and scientists, both within Thomson Reuters and with academic partners at world‑leading universities.

What helps in this setting

Handling site-by-site responsibilities with consistency and care. Strong professional approach.

Practical details

• Flexibility & work‑life balance policies, including paid vacation, mental health days, and Headspace app access.
• Additional detail: Training or development support may be provided.

What needs to be in place

• 3+ years of hands‑on experience building ML/NLP/AI systems with strong software engineering practices.
• Experience building LLM evaluation frameworks, benchmarking systems, or automated testing pipelines.
• Hands‑on experience with agentic workflows, tool‑using AI systems, or multi‑agent coordination (e.g., LangGraph, AutoGPT, LLamaIndex).

Job details

• Benefits mentioned: Training