Forward Deployed Engineer

Huxley; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Huxley is seeking a Forward Deployed Engineer to sit at the intersection of engineering, data science and investing. You will partner with portfolio managers, researchers and data scientists to rapidly prototype and deploy scalable AI-enabled solutions that directly influence investment outcomes.

You will work across data engineering, software engineering and ML teams, translating business needs into production-grade applications and workflows using cloud technologies and APIs.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Software engineering

Production-grade systems

Cloud platforms

APIs

AI/ML tooling

Team collaboration

Tools

Azure OpenAI

LLMs

Job description

Forward Deployed Engineer

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.

What We’re Looking For

• 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.

If you're excited by the opportunity to work on some of the most exciting AI challenges in finance, leveraging cutting-edge technologies including Azure OpenAI, modern data platforms, and cloud-native engineering to deliver real-world impact for investment teams, then look no further.

To find out more about Huxley, please visit www.huxley.com

Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales