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# Forward Deployed Engineer

- **Company:** Huxley Associates
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Information Engineering, DevOps, Machine Learning, Software Engineering, Application Enhancement Tool, Large Language Models, Build Management, Data Pipelines
- **Published:** September 24, 2026
- **Apply:** https://www.huxley.com/en-gb/job/forward-deployed-engineer/4072859

## About the Role

* Strong software engineering experience with modern development frameworks.
 * Experience building production-grade systems and end-user applications.
 * Excellent problem-solving skills and a bias for action.
 * Ability to work directly with business stakeholders and rapidly deliver solutions.
 * Experience with cloud platforms, data pipelines, APIs, and AI/ML tooling.
 * Strong communication skills and commercial mindset.

Nice to Have

 * Experience in financial services, quantitative research, trading, or investment management.
 * Exposure to LLMs, AI agents, NLP, or advanced analytics.
 * Experience working in highly data-driven environments.

## Description

We're partnering with a leading investment firm that is transforming how investment teams leverage data, AI, and technology. We are looking for a Forward Deployed Engineer (FDE) to sit at the intersection of engineering, data science, and investing, building production-grade solutions that directly influence investment outcomes.

You'll work closely with portfolio managers, researchers, traders, and data scientists to identify opportunities, rapidly prototype solutions, and deploy scalable technology that creates a tangible edge for investment teams.

What You'll Do

 * Partner directly with investment professionals to solve complex business and research challenges.
 * Design and build production-ready applications, workflows, and AI-powered tools.
 * Transform ideas and prototypes into scalable systems used by front-office teams.
 * Work across data engineering, software engineering, machine learning, and cloud technologies.
 * Drive adoption of modern engineering practices and emerging technologies.
 * Translate technical concepts into business impact for non-technical stakeholders.


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