Top Python Jobs in London

The FX Quant Trader will develop pricing and hedging algorithms for eTrading, work with trading teams globally, and have opportunities for career progression.

Develop and deploy AI agents for engineering workflows, collaborating with domain experts, and improving the platform's functionality through systematic evaluations.

As a Principal AI Engineer, you'll architect the Agentic stack for AI-driven simulation software, focusing on agent observability, deployment, sandboxing, evaluations, and governance within engineering workflows.

The Senior AI Engineer will build and scale the Agentic platform, implementing AI workflows for engineering, ensuring secure operations and high-code quality.

This role involves analyzing brand performance through social listening, competitive benchmarks, and market trends, and translating data into strategic narratives for decision-making.

Deliver AI/ML solutions by developing and deploying models, integrating RAG pipelines, evaluating performance, and collaborating across teams. Stay updated with AI advancements.

As a Senior Software Engineer at KoBold, you'll develop innovative data systems for mineral exploration, collaborating closely with geologists and data scientists to improve exploration success rates. You'll own projects end-to-end, engage with users, and create scalable, production-quality solutions for complex geological challenges.

Design, build, and scale the core systems for VulnCheck's platform, participate in technical discussions, mentor junior engineers, and improve system reliability.

Develop predictive models and research strategies utilizing financial data, create algorithms, and enhance trading strategies through statistical analysis.

The Data Scientist will convert business questions into analytics models, deploy them, manage data pipelines, and work with commercial teams to enhance decision-making.

As a founding Developer Advocate, you'll build developer infrastructure, drive growth, and champion developer needs by creating engaging content and collaborating cross-functionally.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

As a Senior Staff Software Engineer on the Platform Team, you'll design high-performance backend systems, mentor engineers, and drive architectural strategies to enhance Kraken's system reliability and scalability.

As a Data Scientist in the GenAI CoE, you'll design experiments, build GenAI systems, and analyze results. This hybrid role emphasizes collaboration and innovation, focusing on improving AI solutions and processes.

Design and implement scalable search capabilities, collaborate with teams, manage indexing, and ensure performance for internal and customer systems.

As a Backend Engineer, you'll develop scalable systems, APIs, and architectures supporting AI products. Collaborate cross-functionally and deliver high-performance solutions.

The role involves open-sourcing models and maintaining libraries, optimizing performance, and collaborating with the open-source community. Requires expertise in machine learning and strong programming skills.

The Quantitative Researcher will develop alpha-generating signals, build statistical models, and collaborate on strategy implementation in high-frequency trading.

Senior ETRM Application Developer responsible for designing, developing, and supporting full lifecycle commodities trading systems including trade entry, confirmations, scheduling, risk, P/L, and settlements. Lead offshore teams, interface with business users, and maintain CI/CD, testing, and database components.

Design, build, and maintain cross-platform desktop apps, SDKs, APIs, and IDE plugins (Windows/Mac) using Java and Python. Collaborate with UX and hardware teams to deliver high-performance developer tools, improve workflows, and drive engineering quality, performance, and scalability.

Design, build, and maintain scalable CI/CD pipelines and automation tools; develop scripts for provisioning/configuration; collaborate with global teams to improve DevOps practices; run workshops; document platforms; and implement monitoring, logging, and security hardening across data centers and cloud environments.

Design and execute embedded system test plans, develop and maintain Python-based test automation, support FPGA and silicon bring-up, maintain bench environments, contribute to CI/CD workflows, debug with cross-functional teams, and participate in code reviews.

Lead and mentor data engineering teams to design, build, and optimize scalable ETL/ELT pipelines and data architectures on cloud platforms, ensuring data quality, performance, and alignment with business needs.

Develop and execute test plans and Python-based automation for embedded systems. Debug hardware/software issues with cross-functional teams, maintain bench environments, contribute to CI/CD workflows, and participate in code reviews to ensure reliable test solutions.