AI Research Engineer

Goodman Masson; England; On-site; GBP 80,000 - 100,000; Full time

Job summary

A high-performing global investment firm in London is seeking an AI Research Engineer to contribute to their internal AI platform. In this hands-on role, you will design and maintain AI research infrastructure, optimize LLM serving, and collaborate with data teams to deploy innovative AI solutions. Ideal candidates will possess strong Python skills, experience with AI coding tools, and a degree in a relevant field. Join an elite team operating in a culture of innovation with competitive compensation and bonuses.

Benefits

Competitive base salary

Significant discretionary bonus

Collaborative and entrepreneurial environment

Qualifications

• Strong understanding of data manipulation.
• Portfolio of projects demonstrating creativity and curiosity.
• Proactive, organised, and eager to learn fast.

Responsibilities

• Design, build, and maintain AI research infrastructure.
• Optimise LLM serving and inference for various metrics.
• Prototype new approaches using emerging tools.
• Deploy models into production with data teams.
• Shape Human + Machine strategy for performance.

Skills

Strong Python skills

Experience with AI coding assistants/LLM tooling

Excellent communication skills

Education

Degree in Computer Science, Engineering, or related field

Tools

Claude Code

Cursor

Windsurf

Copilot

Job 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.