Data Product Engineer

Sense Street

Sense Street is innovating in the field of natural language understanding tailored for capital markets. By partnering with global banks, they access unique datasets, enhancing the development of market-specific language models. As a venture-backed firm, their team combines expertise in machine learning, trading, and quantitative research.

In this role you can expect to have the responsibilities:

• Build and maintain scalable data pipelines for AI and ML workloads.
• Develop APIs and backend services to integrate AI models with production systems.
• Collaborate with ML engineers for AI model deployment and optimization.
• Contribute to architecture decisions for AI/ML infrastructure.
• Enhance data access and usability via internal tools and analytics interfaces.
• Implement data reliability and monitoring best practices.

This role comes with the following benefits:

• Flexible working with hybrid arrangements.
• Pension plan.
• Provision of a laptop.
• Share Options Scheme.
• Private healthcare.
• Opportunities for professional development and training.
• Influence on company platform and culture.
• Engagement in cutting-edge AI technologies.

This role requires you to have:

• Software or data engineering skills including Python and SQL.
• Experience with data pipelines, backend systems, and APIs.
• Familiarity with distributed systems and cloud platforms like AWS or GCP.
• Interest in working with machine learning engineers.

You would benefit from having:

• Experience deploying ML models.
• Familiarity with MLOps and ML infrastructure.
• Knowledge of deep learning frameworks like PyTorch or TensorFlow.
• Experience building internal tools or using BI tools and JavaScript frameworks.

The company promotes a flexible work environment in central London, with a highly skilled team and flat hierarchy. They offer mentorship, budget for learning resources, and regular knowledge sharing sessions.