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Ai research engineer

London
Goodman Masson
Research engineer
Posted: 5 November
Offer description

AI Research Engineer – London (Onsite, Full-time)


Competitive Salary + Bonus

High-Performance Environment | Applied AI | Human + Machine Innovation


We’re working with a high-performing global investment firm that’s building out its internal AI platform — applying cutting-edge large-language-model (LLM) technologies to real-world research and data challenges.

They’re now looking for an AI Research Engineer who can turn emerging AI ideas into working products. This is a hands-on, fast-paced role suited to someone who codes with intent, prototypes quickly, and loves exploring what’s next in the AI ecosystem.


What You’ll Do

* Design, build, and maintain AI research infrastructure – custom LLM pipelines and tools.
* Optimise LLM serving and inference for latency, reliability, and cost-to-intelligence.
* Prototype new approaches using Claude Code, Cursor, Windsurf, Copilot, or similar tools.
* Work directly with data and research teams to deploy models into production.
* Help shape the firm’s Human + Machine strategy, blending AI and human insight to drive performance.

What We’re Looking For

* Strong Python skills and solid understanding of data manipulation.
* Experience experimenting with or building on AI coding assistants / LLM tooling.
* Portfolio of personal, academic, or open-source projects that demonstrate creativity and curiosity.
* A degree in Computer Science, Engineering, or a related field.
* High-performance mindset: proactive, organised, and eager to learn fast.
* Excellent communication skills and the confidence to collaborate with technical and non-technical stakeholders alike.

Why Join

* Be part of a small, elite team shaping next-generation AI systems from the ground up.
* Operate in a high-performance culture where innovation and ownership are expected.
* Work directly with decision-makers — your ideas will be heard and implemented.
* Competitive base salary + significant discretionary bonus.
* Central London office, collaborative and entrepreneurial environment.

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