The Client
Tempest Vane Partners is working with a world-renowned quantitative investment firm redefining the intersection of finance and artificial intelligence. Their Applied AI team sits at the core of this mission, building intelligent systems that transform how portfolio managers, researchers, and analysts interact with data.
As the financial markets evolve, the team’s work ensures the firm remains ahead, innovating at scale, leveraging machine learning, and deploying production-grade AI to unlock new alpha opportunities. This is a chance to join a globally respected firm where AI isn’t an experiment, it’s a business driver.
What You’ll Get
* The opportunity to design and deploy world-class AI systems used across global investment teams.
* A high-impact seat within a team driving technological and analytical innovation across the firm.
* A collaborative environment to work alongside ML researchers, engineers, and portfolio specialists, solving complex real-world problems.
* Competitive compensation with a performance-linked bonus.
What You’ll Do
* Take ownership of designing and building next-generation AI systems that make complex financial data instantly accessible and actionable.
* Partner closely with data scientists, ML researchers, and frontend engineers to turn research concepts into robust, scalable production solutions.
* Lead the end-to-end delivery of new AI initiatives from idea and architecture through to deployment, monitoring, and optimisation.
* Introduce new tools, frameworks, and best practices that strengthen the team’s software engineering foundations.
* Contribute to a culture of continuous learning by mentoring engineers and helping shape the team’s technical direction.
* Ensure the stability and reliability of key AI platforms through proactive monitoring, maintenance, and occasional on-call support.
What You’ll Need
* Extensive hands-on experience building and scaling AI-powered backend systems (8+ years in software development, 3+ focused on AI or ML engineering).
* Expert proficiency in Python, with strong working knowledge of ML libraries and frameworks.
* Solid background in data architecture, with proven experience across SQL, NoSQL, and graph databases such as Neo4j or Amazon Neptune.
* Strong understanding of distributed systems, API design, and modern deployment practices using Docker, Kubernetes, and CI/CD pipelines.
* Comfort working in cloud-based environments (AWS preferred), including data connectivity and infrastructure-as-code principles.
* Experience integrating LLMs, RAG pipelines, or vector databases into production workflows is a major plus.
* A strong communicator who can translate technical complexity into business value and thrives in collaborative, cross-functional environments.
* Passion for solving challenging problems and advancing how AI is used to inform real-world financial decision-making.