At Sense Street, we are developing natural language understanding systems for capital markets. Our premise is simple: markets are conversations, and we help investment banks and asset managers have better, more efficient conversations.

This allows us to create language models uniquely suited to capital markets while advancing the state-of-the-art. We are a venture backed company founded by professionals with experience spanning machine learning, trading, and quantitative research.

Were looking for a data-savvy software engineer who thrives on solving new and unexpected challenges building bespoke software, APIs, data pipelines, and platform components that bring AI capabilities to life.On a practical level, youll work closely with our data scientists, product team (and sometimes end-users) to bring AI systems into the real world. That could mean shaping how a new model is integrated, debugging a system bottleneck, or helping internal teams and customers get more value from model outputs as needs evolve.

Proven experience designing and building robust backend systems using technologies such as Node.js, Python, MongoDB, PostgreSQL, Redis, RabbitMQ, and KafkaExperience building and maintaining

real-time applications, including working with WebSockets and event-driven architecturesUnderstands that solving problems means working across the stack from API development to frontend UIs and infrastructure-as-codeHave built real-world systems that expose or depend on ML models, including deployment or inference tooling (e.g. model serving, feature stores)Think in terms of use cases and outcomes, not just infrastructure and moving dataStrong software engineering fundamentals, with deep knowledge of algorithms, data structures, and system designExperience with JavaScript/TypeScript, with experience developing user-facing features using ReactFlexible working, central London locationBudget/time for books, training and attending conferences/hackathonsOpportunity to work with cutting-edge AI technologies and unique datasetsPensionHybrid working - home/officeShare Options Scheme