Front-Office AI Engineer: Production-Grade Finance Tools

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

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.