Top Python Jobs in London

Design, develop and execute manual and automated tests for a mission-critical web platform. Create test plans, automate test cases (Selenium), integrate tests in CI/CD pipelines (Jenkins), troubleshoot automation failures, report defects, and collaborate with developers and product owners to ensure quality, performance, security, and reliability.

The Lead NoSQL Engineer will manage NoSQL databases, lead a team, support database operations, and oversee infrastructure automation while ensuring optimal performance and mentoring.

Lead the Research team in developing scalable machine learning solutions, mentoring junior engineers, optimizing model training, and collaborating on real-world engineering problems.

As an Engineering Manager, oversee data engineering and analytics projects, while leading teams focused on data platforms and governance. Foster collaboration and ensure operational compliance.

Develop machine learning models for real-world physics problems, optimize model performance, implement distributed training, and mentor less experienced colleagues.

The Technical Business Analyst will manage client implementation projects, collaborate across teams, execute technical design, and conduct data analysis while ensuring project quality and stakeholder engagement.

The role involves managing workstations and servers, installing systems, performing hardware maintenance, and handling operational tasks in trading environments.

The Platform Engineer will manage trading and research environments, focusing on reliability and efficiency while collaborating with cross-functional teams to improve operational practices.

The Associate Data Scientist will work on developing and optimizing machine learning models, collaborating with teams to tackle pricing and matching challenges.

Lead the development and integration of AI solutions, focusing on advanced modeling, generative AI architecture, and building user interfaces for decision-making tools.

The Operations Analyst will support trading desks by managing trades, ensuring accurate settlements, and improving operational efficiencies. The role involves liaising with global teams and recommending solutions to operational challenges.

Responsible for developing and optimizing trading systems, collaborating with quants and traders, and driving innovative trading application projects.

London-based Vice President Portfolio Manager responsible for overseeing benchmark-relative quantitative equity strategies, monitoring and approving trades, collaborating with researchers to enhance processes, leading client and consultant meetings, participating in investment policy decisions, and responding to ad-hoc client inquiries. Hybrid role with significant travel.

As a Quantitative Developer, you'll design, code, and implement proprietary systems to realize research ideas and solve complex problems, collaborating with researchers and portfolio managers.

As a Deployed Customer Engineer, you will bridge Couchbase's engineering and customer goals, implementing solutions and optimizing performance for mission-critical applications.

Lead a multidisciplinary team in machine learning and visual computing, managing timelines, project delivery, and innovation in game rendering technologies.

Customer-facing engineer who architects, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads design decisions, implements pipelines, integrates ML/AI models, supports deployments, mentors customers, and contributes reusable assets to scale impact.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on Databricks. Leads end-to-end projects including data pipelines, distributed Spark workloads, MLOps and model integration, provides architecture guidance, embeds with customer teams, delivers reusable assets, and drives measurable outcomes.

The Sales Engineer at Orkes will engage with customers, provide technical solutions, support RFI/RFP processes, and deliver impactful presentations while collaborating with various teams.

Lead the development of strategic quantitative initiatives to enhance trading efficiency, models, and data infrastructure across equity derivatives markets.

Graduate-entry cloud and AI engineering role building agentic solutions with Python, LLMs and AWS. Work includes data preparation, prototyping to production, testing, monitoring, documentation, and following Agile/Kanban practices. Structured mentorship, certification routes, and security-vetted work with government customers.

Lead end-to-end product for UK loans onboarding, improving conversion across web and app. Define roadmap, run hypothesis-driven experiments, use Python/SQL for analysis, apply AI to automate workflows, and collaborate with engineering, credit, data science, design and operations to scale origination and ensure regulatory and risk alignment.

Run marketing and growth analytics across multi-product app: maintain LTV models, run experimentation and attribution, analyze campaigns and funnels, build scalable data pipelines, and partner with product, growth and engineering to inform marketing spend and product decisions.

Senior quant role to develop, deploy and monitor eFX market-making and HFT strategies. Own algorithm portfolio, lead and mentor quants, drive research to production, backtest, and partner with trading, technology and risk in a low-latency environment.

Build and maintain Freetrade's platform: cloud infrastructure (GCP/AWS/Azure), Kubernetes/serverless, Terraform, CI/CD pipelines, monitoring/observability and security guardrails. Partner with product and engineering teams, deploy and operate platform services, and help integrate AI into engineering workflows.