Top Python Jobs in London

The Staff SRE will design and implement OpenTelemetry solutions, establishing telemetry strategies, enhancing infrastructure, and optimizing observability practices across platforms and architectures.

As a Staff Software Engineer, you'll lead full stack projects, mentor teams, ensure code quality, and influence engineering practices to deliver client-focused software solutions, with a strong emphasis on AI integration.

Design, implement, and optimize observability infrastructure using OpenTelemetry and various cloud services, focusing on monitoring and reliability practices.

The Senior Software Engineer will lead the delivery of software projects, practice TDD, mentor developers, and influence technical direction while writing code and collaborating with clients and teams.

The Senior Site Reliability Engineer will manage production environments, enhance system reliability, and collaborate with development teams for improved service delivery and automation.

As a Cloud Infrastructure Engineer, you will enhance Optiver's cloud systems for digital assets trading, focusing on performance, security, and resilience. Responsibilities include designing low-latency infrastructure, implementing CI/CD for changes, and managing cloud performance setups.

As a Site Reliability Engineer, you'll enhance infrastructure reliability, observability, and efficiency, while focusing on tooling development and coordination across teams.

Hands-on engineering manager responsible for leading and growing a backend engineering team, ensuring predictable delivery, technical and architectural oversight, mentoring, hiring, and cross-functional alignment with Product and DevOps to build scalable, reliable systems using modern engineering practices.

Lead design, build, and operation of Rightmove's GCP-based data platform. Own ingestion, processing, storage, and tooling; develop reusable batch and real-time pipelines, infrastructure as code with Terraform, CI/CD, and promote engineering best practices across teams.

Lead design and evolution of a scalable data platform, build shared ingestion/transformation/orchestration capabilities for batch and real-time, integrate tools (dbt, Spark, Beam), implement data quality/observability/security/testing, enable AI-assisted data engineering, mentor engineers, and influence the data platform roadmap to support analytics and ML at scale.

As a Senior CSIRT Analyst, you will investigate security incidents, respond to threats, mentor junior analysts, and improve detection capabilities using cloud security tools.

Provide analytical support to the Models & Analytics Manager: deliver data analytics for credit decisioning models, produce credit risk reporting packs, champion credit data quality, support Credit Risk reporting and ad hoc projects, and manage Impairment monthly controls and oversight.

Lead customer-facing data science and AI projects for commodity markets: identify high-impact opportunities, prototype and deploy ML/AI solutions (including LLMs and agentic approaches), measure business impact, collaborate with product, engineering and domain experts, and share learnings to shape ICIS data and AI products.

Design, build and productionise machine learning models end-to-end within cross-functional teams. Lead architectural decisions, mentor engineers, create ML tooling and frameworks, and partner with stakeholders to deliver impactful data products at scale.

Design, implement and optimise large neural network models and scalable training pipelines. Build distributed multi-GPU/multi-node training, profile and optimise GPU workloads, maintain core ML infrastructure, and productionise research models for downstream biological discovery workflows.

Develop and validate generative models of cellular behaviour using single-cell and perturbation data. Design models for counterfactual prediction and experimental design, collaborate with experimental teams to test hypotheses, evaluate models for causal and mechanistic fidelity, and communicate results across interdisciplinary stakeholders to accelerate therapeutic discovery.

The role involves designing, building, and deploying ML systems, supporting stakeholders, and operationalizing AI applications in Defence.

As a Principal Software Engineer, you'll lead backend and IoT engineering for Defence projects, ensuring high-quality software delivery while mentoring engineers and implementing robust CI/CD processes.

Summer software development internship building low-latency trading applications and tools. Deliver self-contained features within an existing production codebase, use AI coding tools responsibly, and collaborate with development and trading teams to improve performance-sensitive systems.

The Software Engineer will work closely with AI researchers to develop scalable software integrating AI technologies, manage software lifecycle, and collaborate with cross-functional teams.

Own subscription and lifecycle analytics: analyze funnels, build dashboards, perform retention deep-dives, and develop LTV and churn models. Collaborate with Growth, Product, and Editorial to translate insights into product and marketing actions that improve retention and revenue.

Run technical discovery, design and lead POCs, build V7 Go workflows combining prompt engineering, data pipelines and integrations, own onboarding to first value, act as primary technical contact, and feed customer insights back to product while managing multiple concurrent projects.

Design, build and maintain network automation and IaC for a high-availability, low-latency colocation environment. Develop Python-based automation, integrate with CI/CD, provide APIs and self-service tooling, implement observability, support incident response and on-call for critical infrastructure.

Design, build and operate highly available low-latency co-location network infrastructure. Optimize performance, timing and throughput; implement packet-capture and market connectivity; develop automation and tooling; monitor lifecycle and reliability; collaborate with platform teams; contribute to incident response and on-call support.

Lead the internal developer platform and DevSecOps roadmap: design the Golden Path from code to production, build secure CI/CD and GitOps workflows, manage IaC and container orchestration, integrate automated security tooling, ensure availability of engineering tooling, and mentor a growing platform team.