Top Python Jobs in London

As a Senior Attack Monitoring Analyst, you will identify and respond to cyber incidents, improve GSOC capabilities, and perform security event analysis.

The role involves designing and maintaining data products, developing analytical tools, and improving data architecture while collaborating with stakeholders.

Design, build and optimize scalable AWS-based data pipelines and ETL processes (batch and near-real-time) using Python, SQL, Airflow, Glue and Redshift. Improve performance, reliability and cost efficiency, implement monitoring/alerting, support governance, security and compliance, collaborate with architecture and analytics teams, and mentor colleagues.

As a Front End Engineer, you will develop impactful features, improve platform functionality, and collaborate with product and design teams, emphasizing JavaScript and Python.

As a Python Developer at Lyst, you'll tackle challenges in product development, working with a team to enhance user experience and handle data ingestion and payment systems.

The AWS DevOps Engineer will design, build, and maintain cloud infrastructure, CI/CD pipelines, and automation frameworks, ensuring adherence to DevSecOps principles.

Develop and maintain data pipelines, optimize solutions using AWS services, and ensure data quality and security while collaborating with cross-functional teams.

The Research Intern will conduct machine learning research, focusing on large language models, and disseminate results through publications and code while collaborating with Cohere researchers.

Lead the data squad to manage product flows between Reflexivity and partners, ensuring the integration of data products and refining data ingestion processes.

The Senior Backend Engineer will design and build scalable systems, mentor junior engineers, identify process efficiencies, and communicate technical challenges effectively.

Lead Relation's Data Platform team by designing a unified data strategy, optimizing data workflows, and ensuring data governance, while developing a high-performing engineering team.

The Senior Data Engineer will design and build an internal data platform, integrate data from multiple systems, and enable non-technical users to access and use data effectively, championing best practices in data engineering.

As a Lead Machine Learning Engineer, you will set technical direction, lead ML projects, develop solutions, mentor engineers, and improve delivery processes.

Build and maintain Dialpad's native Salesforce integration and other integrations, design architecture, write clean modular code with unit tests, participate in code reviews, mentor engineers, support ETL pipelines, and contribute to Agentic AI initiatives to enable real-time automations and data flows.

The Senior Engineer will design, develop, and deploy software solutions for a global financial platform, collaborating with cross-functional teams and maintaining high-quality standards.

Execute and monitor day-to-day capital deployment across DeFi protocols, manage institutional wallet and custody workflows, reconcile deployed capital and yields, monitor liquidation and protocol risk, and maintain quantitative models for yield optimization and protocol integrations. Interface with accounting and finance and operate within firm-approved guardrails to preserve capital.

Design and ship production LLM-based internal tools and automation to remove operational friction. Partner with business owners, prototype agentic workflows and RAG pipelines, deploy solutions (automation platforms or Python), maintain observability, run training, and measure impact.

The Data Engineer role involves modeling data as an Analytics Engineer, improving data infrastructure, managing data ingestion, and delivering training.

The role involves developing trading systems, optimizing trading infrastructure, and collaborating with the Portfolio Manager for data validation and monitoring.

Design, implement, and optimize a low-latency high-frequency trading platform for cryptocurrency markets; collect market data, disseminate orders, analyze throughput/latency, build performance tools, and develop access to historical data and simulation systems.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

Maintain, support, and improve the firm's low-latency Linux trading infrastructure and cloud environments. Automate provisioning, configuration, and monitoring across thousands of servers, manage core services (DHCP, LDAP, DNS, NFS), tune AWS for high-performance trading, participate in cloud design reviews, and provide 24/7 operational support including on-call rotations.

As a Data Scientist, you will generate insights to prioritize efforts and identify opportunities, focusing on experimental and causal inference methodologies.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.