Top Python Jobs in London

As a Senior Data Scientist, you'll develop AI solutions with machine learning, mentor others, and ensure responsible AI practices while collaborating with clients to solve business challenges.

Contract QA Engineer to build and own QA strategy for a fast-moving AI product: design scalable QA processes, drive automation (integration, E2E, regression) across Django and NextJS, apply AI to QA tasks, and collaborate with engineers to enable safe, higher-cadence production shipping.

Build and maintain scalable cloud-based data management and processing systems for biomedical research. Own platform components end-to-end, drive architecture and standards, improve CI/CD, observability, security, performance, mentor engineers, and participate in on-call incident response.

Build and maintain scalable, reliable agentic AI systems for biomedical research, integrating LLMs, tool-calling, and data platforms. Drive technical decisions, optimize analytical workflows, deploy agents on the data platform, mentor teammates, and participate in on-call rotation to ensure performance, security, and continuous improvement.

Lead development of an autonomous agentic AI scientist for drug discovery: architect multi-step reasoning agents, bridge AI and wet-lab experiment design, prototype to productionize agentic systems, publish research, and collaborate with biological experts.

As a Senior Software Engineer, you'll build products, deliver continuous changes, mentor teams, architect scalable systems, and promote best practices.

The Senior Operations Reliability Engineer will manage operational reliability and health of enterprise platforms, improve automation workflows, conduct incident management, and mentor junior engineers while ensuring compliance and governance for SaaS tools.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

Lead SRE initiatives to ensure reliability, scalability, and performance of ClickHouse Cloud. Design SLOs/SLAs, build monitoring/alerting, run incident response and post-mortems, drive chaos engineering, improve automation, manage on-call processes, and develop platform tooling to optimize cloud operations.

The GTM Systems & Automation Lead will enhance Telnyx's revenue operations by streamlining workflows, improving system integrations, and developing durable automations across various departments.

Lead and mentor an engineering team to build secure, production-ready open source libraries. Define technical direction across language ecosystems, dependency and release management, and AI-driven automation. Own comparator gates, LLM-based judge rubrics, and language-specific build systems. Improve build/test infrastructure for reproducible, auditable releases with vulnerability detection, patching, SBOM and provenance. Partner across product and engineering, and represent Chainguard externally to partners and maintainers.

Customer-embedded principal software engineer driving production-grade solutions for strategic accounts. Translate business needs into technical designs, build and deploy end-to-end systems, influence senior stakeholders, and transition work to FDE crews. Operate in ambiguous, fast-paced environments with strong ownership, industry context, and an entrepreneurial mindset to deliver measurable business outcomes.

Design, build, and maintain high-volume distributed data processing jobs and pipelines (Redshift, Athena, Iceberg, Spark, Airflow). Collaborate with data scientists and analysts to productionize models, optimize performance, troubleshoot systems, and mentor junior engineers. Support lakehouse/data warehouse management and ensure data accuracy and efficiency.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Design, develop, deploy, and improve production-grade machine learning and computer vision models. Evaluate model performance, analyze data, support MLOps/CI-CD pipelines, resolve production issues, and mentor junior engineers while collaborating with product and engineering teams to deliver robust, scalable ML solutions.

Contract Data Centre Network Engineer to design, deploy, and operate high-performance data centre networks (leaf-spine, EVPN/VXLAN), manage routing (BGP/OSPF), automate configurations (Python/Ansible/Terraform), troubleshoot network and Linux systems, support Kubernetes networking, and contribute to monitoring, documentation, and capacity planning for AI/GPU infrastructure.

Lead technical strategy and delivery for Revenue Intelligence systems across web apps, backend APIs, event-driven services, data pipelines, analytical stores, and ML recommendation workflows. Improve reliability, security, scalability, and observability while remaining hands-on in design, implementation, incident response, and mentoring to raise organizational engineering effectiveness.

Design, build, and maintain scalable batch and streaming data pipelines, internal tools, and APIs to support analytics, product features, and ML. Collaborate with product and engineering to improve data infrastructure, ensure reliability, testing, and observability in a cloud-native environment.

Design and deploy dynamic, feedback-driven pricing systems for a bid-based marketplace. Model elasticity, supply/demand responses, and long-term feedback; develop real-time pricing algorithms; run and analyze A/B experiments; productionize scalable models with engineering; monitor system stability and contribute to methodological choices including optimization and RL-inspired approaches.

Design, build, and maintain developer tooling for the MAX AI inference stack, including profilers, tracers, debuggers, dashboards, and agent-native tools. Integrate tooling across MAX, Mojo, and driver APIs, collaborate with kernel/model/serving engineers, and drive performance analysis, debugging, and observability to improve developer productivity and production reliability.

Lead administration and support of corporate Microsoft infrastructure, VDI/RDS access platforms, virtualization, storage, backups, and cloud services. Perform AD domain/forest migrations, replace legacy VDI and load‑balancing stacks, maintain documentation, resolve incidents to SLA, participate in projects and on‑call rotation, and collaborate with NOC, InfoSec, DevOps, and L2 teams.

Develop and maintain .NET/WPF desktop applications using C# and MVVM. Write technical specifications, deploy code, use CI/CD tools, ensure code quality (Veracode, SonarQube), and work with MS SQL Server (T-SQL, SSIS), XML/ETL and data warehousing. Collaborate with stakeholders and communicate effectively.

Partner with product and business teams to define metrics, design and analyze experiments, build analytical frameworks, maintain governed dashboards, conduct deep-dive analyses (funnels, retention, cohorts), size opportunities, and connect product metrics to revenue to inform roadmap and leadership decisions.

Partner with sales to demonstrate Flare's CTI and external attack-surface platform, run end-to-end POCs, deliver threat briefings to ISACs, interpret and translate findings for technical and executive audiences, train and enable teams, collaborate with product and research, and represent Flare at events. Bilingual (English/German) and travel flexibility required.

As a Data Scientist, you will design and deliver bespoke AI solutions, work with clients on project feasibility, and ensure delivery excellence while acting as a technical advisor.