Top Python Jobs in London

Develop and maintain treasury systems, optimize trade processing, collaborate with software engineers and finance teams, and improve service performance.

Design and develop scalable server-side components, integrate APIs, automate workflows, and collaborate with teams on financial solutions.

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

The Principal Analyst oversees data extraction, analysis, and model development for client projects while leading team development and client interactions.

As a Site Reliability Engineer, you will develop and implement secure infrastructure concepts, support project teams in classified environments, and maintain various security tooling and systems.

The Software Engineer will develop AI-based capabilities, maintain software stacks, mentor others, and tackle engineering challenges across various technical fields.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

As a Deployed AI Engineer, you'll integrate software into systems, collaborate on customer requirements, and troubleshoot issues while showcasing AI capabilities.

Design, build, and support ETF platform capabilities for portfolio construction, trading, analytics, and operations. Develop Python-based services, SQL ETL and tuned queries, event-driven architectures (Kafka), and cloud-native AWS applications. Implement CI/CD, ensure data quality, observability and lineage, partner with investment teams, institutionalize AI-assisted development, and participate in production support and on-call rotation.

The Senior Software Engineer leads technical projects, mentors junior engineers, and designs high-quality software solutions in a SaaS environment.

The role involves developing, fine-tuning, and optimizing large language models, building ML infrastructure, and implementing CI/CD practices for AI/ML systems.

As a Quantitative Strategist, you will model volatility surfaces, support trading teams, analyze risk, and develop parameter models for financial products.

Design, develop, and maintain scalable automation frameworks and tooling to provision and manage cloud and hybrid infrastructure. Build Python-based IaC generation with Jinja2 and Terraform, maintain Puppet modules for Linux/Windows, develop PowerShell automation for Windows/AD, integrate automation with CI/CD, implement testing for infrastructure code, and partner with platform teams to drive operational excellence and documentation.

As a Senior kdb+ Engineer, you'll design and implement kdb+ architectures, mentor developers, and lead projects for financial institutions, ensuring high-performance solutions.

As a Senior kdb+ Engineer, you will deliver high-performance solutions for financial institutions, lead technical projects, design robust architectures, mentor developers, and drive innovation in kdb+ and time-series data handling.

Collaborate with users to define application requirements, develop and test code, support project delivery, analyze time-series data, and mentor juniors.

As a Quant Developer at Man Group, you will build new alphas and trading strategies, collaborating with Quant Researchers in a dynamic tech environment for systematic trading.

Design and implement AWS deployment strategies, drive CI/CD practices, maintain cloud application monitoring, enhance scalability, and support operational troubleshooting.

Join Qube Research & Technologies as a Network Engineer responsible for designing large-scale datacentre networks, ensuring high-performance connectivity, and collaborating with teams to enhance infrastructure and troubleshooting.

The role involves creating predictive crypto trading signals, monitoring strategies, analyzing data sets, and collaborating with researchers.

Software Engineers at PDT develop and maintain trading systems, risk controls, and post-trade technologies while collaborating with internal users to define requirements and implement solutions.

The DevOps Engineer will focus on designing and improving CI/CD platforms, lead technical solutions, mentor engineers, and work in agile teams.

The Specialist Solution Engineer will engage with clients to deliver AI-driven solutions, conduct technical discovery, prototype and implement data-driven processes, and provide consultancy and training in process intelligence.

Lead end-to-end customer engagements to define agentic AI strategy, architect solutions on Salesforce (Data Cloud, Agentic AI), manage delivery timelines and stakeholders, drive adoption and measurable consumption, coordinate with Forward Deployed Engineers, assess AI readiness and change management, and provide product feedback to influence platform roadmap.