обновлено 3 часа назад
Staff Software Engineer (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI/ML): Building and productionizing AI-native products and core AI platform capabilities for an investment data platform with an accent on LLMs, agentic frameworks, and scalable production systems. Focus on architecting AI systems, enabling cross-platform tool use, evaluating emerging AI technologies, and driving reliable high-performance delivery.
Location: Edinburgh, UK. Applicants must have and maintain the right to work in the United Kingdom from the first day of employment; visa sponsorship is not available.
Company
is a global data and AI platform that helps investment professionals manage complex portfolio, market, and client data.
What you will do
- Drive end-to-end delivery of AI-native products from prototypes to scalable production services.
- Architect and productionize AI platform components, including LLMs, vector databases, prompt-tuning systems, and agentic frameworks.
- Build agent capabilities such as MCP, cross-platform tool use, web browsing, and computer use.
- Improve AI products through performance metrics, user feedback, and rapid iteration.
- Partner with product managers and engineering teams to translate strategic goals into scalable platform architecture.
- Lead technology evaluation, operational excellence, and best-practice sharing across AI initiatives.
Requirements
- Extensive software engineering experience and a proven record of shipping and maintaining complex production-grade systems.
- Experience shipping and maintaining AI-native products or features, or significant personal AI projects.
- Strong ownership, execution, and collaboration skills, with a focus on rapid iteration and delivery.
- Degree in Computer Science, Statistics, Mathematics, or a similar quantitative or technical field, or equivalent practical experience.
- Right to work in the United Kingdom from the first day of employment.
- Visa sponsorship is not available for this role.
Nice to have
- Experience with LLMs and agentic systems.
- Hands-on experience with Databricks, LangChain, or MLflow.
- Advanced understanding of the probabilistic systems behind modern LLMs.
- Experience building AI products in accuracy-sensitive domains such as finance.
Culture & Benefits
- Values ownership, collaboration, client focus, innovation, and continuous learning.
- Equal opportunity employer committed to inclusion and belonging.
- Reasonable accommodations are available during the application, interview, and employment process.
- supports clients worldwide and operates offices across the United States, United Kingdom, India, United Arab Emirates, Switzerland, Singapore, and Brazil.
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