Top Python Jobs in London

Client-facing role designing, building, and maintaining scalable Azure cloud infrastructure and data platforms. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, and mentor teams to deliver reliable cloud solutions.

The Integration Engineer will design, develop, and maintain integrations for k-ID's services with clients, focusing on seamless implementations and troubleshooting technical issues for EMEA customers.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

The Revenue Operations Analyst will manage revenue analytics for publisher accounts, create reports, identify growth opportunities, and collaborate with teams to optimize monetization strategies.

As a Senior Python Backend Engineer at VidRush, you'll build AI-driven video production systems, ship production-level ML/LLM services, and work closely with product teams while ensuring high autonomy and delivery speed.

The Technical Account Manager supports customers by troubleshooting integration issues, collaborating with teams, creating documentation, and ensuring smooth onboarding of clients.

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.

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.

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.

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

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

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 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.

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.

The Integration Engineer will manage client onboarding, lead integration efforts, analyze technical requirements, and provide support for product implementation.

This role involves analyzing complex datasets, developing metrics, building dashboards, and collaborating with teams to enhance fraud detection strategies using ML models.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.