Top Python Jobs in London

Lead Product Engineer responsible for technical leadership, product development, cloud architecture, AI integration, prototyping, and problem-solving in a data engineering context.

Provide second- and third-line application support for front-office and post-trade systems used in energy and commodities trading. Manage incidents, vendor upgrades, onboarding, ITIL-based change processes, documentation, exchange reporting and compliance, and identify process improvements while liaising with business stakeholders, development teams and infrastructure.

The Strategy Analyst will evaluate strategic priorities, conduct market intelligence, support corporate development, and prepare presentations for executive committees.

The Senior Software Test Engineer will lead test engineering initiatives, design automated test frameworks, and advocate for quality within cross-functional teams.

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

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 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.

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.

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

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

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.

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

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.

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.

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.

Lead deployment of production ML systems for physics-based engineering: design scalable training/inference pipelines, work with 3D point-clouds and mesh data, collaborate with customers onsite, mentor engineers, define architecture and success metrics, and deliver robust cloud and on-prem ML solutions.

Design, build, and maintain cloud-based data pipelines and infrastructure on AWS, integrating on-prem and cloud flows. Implement IaC, CI/CD, containerization, observability, and automation to ensure high-throughput, reliable data ingestion and processing for autonomous systems.

Own and extend simulation tooling for autonomy: integrate simulators with the production autonomy stack, ensure determinism and reproducibility, run large-scale cloud scenario execution, build evaluation and triage tooling, author scenarios, and maintain pipeline performance and coverage for V&V and release gating.

Lead a platform team owning shared backend services and frameworks used across engineering. Balance hands-on development, architectural ownership, roadmap delivery, and line management to improve developer experience, service health, and reliability.

Serve as ELN subject-matter expert: configure and administer ELN (primarily Benchling), gather stakeholder requirements, build templates/workflows, support integrations and dashboards, maintain TD data repository, write SQL to extract/validate data, ensure data integrity and regulatory compliance, provide training and support to users.

Act as the primary technical expert and trusted advisor for the Cyera platform, driving customer onboarding, adoption, training, troubleshooting, and expansion. Design custom use cases, monitor health and usage, conduct QBRs, document best practices, and advocate customer feedback to influence product roadmap.

Lead design, build and deploy enterprise-scale AI products: agentic workflows, RAG, LLM integrations, vector DBs, APIs and microservices. Define architecture, reliability, observability and governance, mentor engineers, partner with product and data teams, and drive AI platform adoption and measurable business outcomes.

Design, develop, and maintain matching engines, FIX gateways, and low-latency trading applications using Java and C++. Implement efficient in-memory data structures, optimize networking and concurrency, troubleshoot production issues, and collaborate with trading, product, and infrastructure teams across the full software development lifecycle.

Lead the data platform's technical strategy and architecture, design analytics/semantic/AI data layers, set modelling and reliability standards, drive observability and data quality, mentor senior engineers, and coordinate cross-team modernization and incident response.