AI Engineer

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We are working on different areas where AI/ML can help portfolio managers, researchers, risk managers, and other functions. Some examples are: enabling traders/researchers to consume vast amounts of research and literature by organizing, summarizing information, sometimes in near real-time; doing quantitative modeling to price instruments, modeling demand and supply of commodities and other fundamentals; modeling weather, optimizing algorithmic execution of trades;

modeling and building simulations of risk.

The AI/ML work spans usage of LLMs, deep learning, reinforcement learning and other ML techniques. The work also requires building AI/ML infrastructure for data wrangling, building feature stores, building frameworks for deployments, measurements, re‑training, etc.

We are seeking an AI/ML SWE who has experience with LLMs, deep learning, reinforcement learning as well as an interest and ability to keep up with advancements in AI/ML. The candidate should also be strong in software engineering and be comfortable with AI/ML experimentation and productionization.

• Engage and collaborate with business stakeholders, quants, and other market researchers to deeply understand the problem space.
• Experiment, iterate, product ionize AI/ML solutions.
• Build supporting data and AI/ML infrastructure and tools.

• Strong knowledge of the latest advancements in AI and machine learning.
• Strong fundamentals in computer science.
• Proficiency in Python and at least 1 other language such as Java, C++, C#, etc.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
• Experience with using LLMs and with techniques such as prompt engineering, PEFT, fine‑tuning, etc.
• Ability to build and evaluate AI models and tools using quantifiable metrics.
• Excellent problem‑solving skills and ability to work independently as well as part of a team.
• Strong communication skills to effectively collaborate with developers and other stakeholders.
• Adaptable and willing to work in a start‑up‑like environment within a major institution.

• Advanced degree in Computer Science, AI, Machine Learning, or a related field.
• Experience in developing AI solutions for financial institutions.
• Knowledge of additional programming languages and frameworks.

• Entry level

• Full‑time

• Engineering and Information Technology

• Investment Management

Location:

London, England, United Kingdom.