Top Python Jobs in London

The Associate Data Analyst collaborates to create data products and visuals, ensures data accuracy, and handles ad-hoc requests while contributing to team projects.

The Data Analyst delivers insights and data products, collaborates with teams, creates dashboards, and supports operations through ad-hoc requests.

The Senior Data Analyst delivers insights dashboards and data products, leads projects, mentors team members, and collaborates with various stakeholders for data-driven decision making.

The Associate Data Analyst will deliver insights dashboards and data products, ensure data accuracy, and handle ad-hoc requests while collaborating with team members and stakeholders.

The Senior Analyst, Revenue Management will design and maintain scalable reporting and data solutions, utilizing AI tools and AWS for efficient data analysis and decision-making across the organization.

Design and build scalable applications using JavaScript or Python, implement data storage solutions, optimise performance, ensure testing and CI/CD practices, collaborate with clients and technical leaders, and maintain high code quality through reviews and agile delivery.

Design, develop, and maintain components of the LNIP intelligence core platform, including a semantic search API and internal data curation tool. Implement secure coding standards, unit testing, code reviews, and cloud deployments. Use agentic development tools responsibly and work with complex data models, vector embeddings, SQL and PySpark to support intelligent software systems.

Lead and deliver offensive security assessments (infrastructure, web, API, device reviews), produce high-quality technical and executive reports, support pre-sales/tenders, perform report QA, conduct research/service development, and mentor/collaborate across teams.

Manage and optimise GKE Kubernetes clusters using Terraform; implement GitOps (ArgoCD) and developer golden paths; build infrastructure for safe, scalable deployments; support cloud compliance (SOC2, ISO-27001, Cyber Essentials); produce developer-facing documentation; act as GCP/Kubernetes technical lead and participate in on-call rotation.

The DevOps Engineer will automate cloud infrastructure, manage CI/CD pipelines, and support development teams while ensuring information security.

The role involves designing and delivering secure, scalable software, influencing technical direction, mentoring engineers, and solving complex customer problems.

The role involves designing and delivering automation, cloud environments, and CI/CD pipelines, mentoring engineers, and supporting improvements in security and practices.

As a Principal Data and AI Architect, you'll lead technical design for AI solutions, guide customer integrations, and ensure effective use of Salesforce data platforms to drive business impact.

Lead development and optimization of scalable backend-heavy systems, build and maintain user-facing products, apply CI/CD, mentor engineers, collaborate cross-functionally, and evolve platform architecture.

Perform static and dynamic Android malware analysis and reverse engineering; detect and document emerging Android malware trends; write detection rules and automation; collaborate cross-team and produce threat intelligence reports.

Senior Software Engineer will own end-to-end delivery in a Learner Experience pod, work full-stack to shape and ship AI-first edtech features, coach engineers, collaborate with stakeholders, and maintain high engineering standards (TDD, code review).

Design, build, and operate agentic AI systems and evaluation frameworks from prototype to production. Own AI features with focus on observability, cost, reliability, and failure recovery. Collaborate with product and domain teams to identify high-impact AI use cases and create org-wide patterns, tooling, and standards. Manage operational economics of AI systems and ensure scalable, serverless deployments.

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns, ensure security and data governance, integrate AI with enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions.

Install, configure, maintain, and troubleshoot automation systems with emphasis on machine vision and ML. Integrate AWS ML, program PLCs/HMIs, commission Fieldbus devices, perform testing/QA, support clients, document installs, and participate in design reviews and service calls.

The role involves building and scaling data infrastructure for multimodal AI systems, developing high-throughput data pipelines, and collaborating with ML researchers and product teams to enhance data systems.

The Physical Design Engineer will implement ASIC/SoC designs, perform timing analysis, maintain design integrity, and collaborate with cross-functional teams.

As a Technical Support Engineer, you will lead field operations, develop fixes for software issues, manage escalations, and communicate with customers while maintaining high system uptime.

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

The Senior Data Engineer will develop scalable data solutions, build data pipelines, optimize performance for data lakes, and ensure data quality.

The Platform Engineer will build and scale the infrastructure for AI-driven drug discovery, focusing on Kubernetes management, cloud infrastructure, and automation using Python and Bash.