Top Python Jobs in London

Lead architecture and deliver end-to-end, scalable full-stack systems and developer tooling. Hands-on coding across backend and frontend, prototype AI-driven workflows, collaborate with product and design, mentor engineers, and drive engineering best practices to accelerate product delivery and scale.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Design, build, and operate multi-region AWS platforms with resilient networking, security, and automation. Implement IaC, cross-region routing, HA/DR patterns, observability, and cost/security best practices while collaborating with DevOps, SRE, Security, and application teams.

Lead multi-skilled agile teams to design, build and productionise modern data solutions. Own technical architecture, collaborate with infrastructure and customer architects, define functional and non-functional designs, mentor staff, estimate delivery timelines, contribute to data community and support pre-sales technical solutioning.

Senior individual contributor researching how threat actors weaponize AI across the attack lifecycle. Instrument telemetry, analyze global data and OSINT, develop detections, automate research workflows with LLMs and scripting, and publish external threat intelligence to inform protections and operations.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Develop, test, support and deploy the eXimius Back Office Wealth Management application. Analyze client specifications, estimate and build software changes, manage defects, respond to support tickets, assist customers, perform system administration, and participate in Scrum and UAT activities.

Develop and maintain the backend ecosystem for the Alta Video Management System, focusing on cloud-based distributed systems and coding quality.

Design and implement embedded software for surveillance cameras, focusing on performance and reliability. Collaborate with hardware engineers, conduct testing, and optimize low-level device drivers.

The Senior Verification Engineer will lead pre-silicon RTL verification processes, build testbenches, and improve hardware workflows in a collaborative team focused on ML/AI IC products.

As a Verification Engineer, you'll contribute to building ML/AI IC products, ensuring high standards of functional quality through collaboration on RTL verification.

Collect, clean, and transform large datasets; build and maintain data models and reports (using Snowflake and BI tools); perform statistical and machine-learning analyses; define KPIs; ensure data governance and accuracy; present insights to stakeholders; collaborate with data engineers and follow software development best practices.

The intern will collaborate with a team to develop and implement quantitative trading signals and models, focusing on statistical methodologies in quantitative finance.

Own and evolve the platform infrastructure for deployed ML and NLP systems: deploy and monitor models via Azure ML and AKS, build orchestration pipelines (Dagster), ensure observability and Responsible AI/GDPR compliance, and support scaling across multi-tenant local authority clients while advising across the organisation.

The Financial Analyst manages vendor payments, tracks expenses, oversees receivables, performs reconciliations, prepares financial reports, and implements process improvements.

The role involves designing end-to-end user workflows, integrating AI features, and building production-grade systems in a fast-paced environment.

The Applied AI Engineer will design, build, and deploy LLM-powered AI features, improving workflows while engaging directly with customers to debug and enhance the system.

The Platform Engineering Manager oversees cloud operations, ensuring secure, reliable services and team leadership in platform engineering. Responsibilities include cloud infrastructure management, governance, incident management, and fostering a culture of continuous improvement.

Conduct quantitative analysis of private equity co-investments, evaluate market risks and returns, and support investment team decisions with statistical insights and modeling.

Design, test, and deploy advanced hardware designs as an ASIC Engineer, collaborating across teams on FPGA-based and ASIC-based technologies.

Mid-level Data Scientist (2–5 years) focused on risk, fraud, and compliance. Build and deploy ML models and deterministic rules, run funnel and A/B experiment analyses, create dashboards, partner with Product/Growth/Engineering, and improve data quality and instrumentation.

As a Technical Solutions Consultant at Zip, you will integrate and document the Zip platform into customers' IT systems, work closely with clients to meet their requirements, and improve integration processes.

Design and maintain scalable systems, collaborate with cross-functional teams, and enhance internal tooling while focusing on reliability and performance in infrastructure.

As a Software Engineer, you will develop solutions for a cutting-edge trading system, enhance a petabyte-scale data platform, and apply engineering best practices.

The Staff Applied Scientist will lead projects in neurosymbolic AI, converting research into language systems, mentoring peers, and driving end-to-end project development.