Machine Learning Researcher

Jane Street; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading financial firm seeks motivated individuals for their Machine Learning team. In this role, you'll tackle unique challenges in trading, build deep learning models, and collaborate closely with cross-functional teams. Ideal candidates are intellectually curious, with solid coding and ML experience, ready to help shape innovative solutions in a dynamic environment.

Qualifications

• Experience in machine learning and coding, especially with Python.
• Eagerness to learn and adapt in a fast-paced environment.
• Curiosity about different ML problem domains.

Responsibilities

• Build and train deep learning models for trading strategies.
• Collaborate with researchers, engineers, and traders.
• Attend conferences and teach techniques to teammates.

Skills

Practical experience working on empirical ML problems

Logical and mathematical thinking

Intellectual curiosity

Hands-on coding skills (Python and ML frameworks)

Fluency in English

Job description

We’re looking for smart and curious individuals from academia to join our growing team and drive our ML work.

On our Machine Learning team, you'll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with thousands of H100s/200s. Trading poses unusual challenges—extreme latency constraints, large datasets, complex feedback loops and a high level of noise—that force us to search for novel tricks.

Researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies. Depending on the day, we might be diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production.

We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods—to shape the future of ML at Jane Street. You’ll train models for the next generation of our deep learning-based trading strategies, and build the fundamental understanding we need to tackle new markets and situations. You’ll also be hiring new colleagues, attending conferences and teaching techniques to teammates—all of which we consider to be real and impactful parts of the job.

About You

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in. There’s no fixed set of skills we are looking for, but you should bring:

• Practical experience working on empirical ML problems
• The ability to apply logical and mathematical thinking to all kinds of problems
• Intellectual curiosity and excitement about state-of-the-art research across many ML problem domains
• Fluency with a versatile set of models and tricks
• The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML framework
• An eagerness to ask questions, admit mistakes and learn new things
• Fluency in English

If you're a recruiting agency and want to partner with us, please reach out to [e-mail].

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