Top Python Jobs in London

Design, implement and maintain scalable, performant backend microservices for Thought Machine's Vault. Write automated unit and integration tests, debug deployments from testing to production, collaborate with other engineering teams, and translate customer requirements into deliverable tickets.

Lead organisational ML engineering strategy and architecture for high-stakes programmes. Own end-to-end delivery, drive adoption of platforms and technologies, coach senior engineering talent, shape executive client engagements, and lead technical pre-sales to win flagship AI projects.

Lead statistical genetics and population genomics analyses to support target discovery. Design and implement post-GWAS methods (fine-mapping, colocalisation, MR, PRS, rare variant analyses), build scalable reproducible workflows, integrate genetics with multi-omics, partner with experimental and ML teams, communicate findings, and contribute to publications and decision-making across programmes.

Join Trainline as a mid-level Site Reliability Engineer to improve platform reliability and observability, participate in incident response and on-call rotation, build and maintain monitoring/alerting, support AWS-hosted infrastructure using IaC and CI/CD (Terraform, GitHub Actions), collaborate with product teams, and write scripts and tooling to improve reliability and scalability.

Build and improve Trainline's infrastructure platform using Terraform and AWS, automate tasks with Node.js/Python, apply secure-by-default principles, test and deploy via CI/CD, collaborate with platform and engineering stakeholders, and deliver reliable, maintainable infrastructure changes.

Design, implement and improve Trainline's infrastructure platform using Terraform and AWS. Build automation and tooling in Node.js or Python, enforce secure-by-default cloud patterns, test and deploy via CI/CD, mentor mid-level engineers, collaborate across teams, and manage multi-account, multi-region, and enterprise-scale platform concerns to deliver reliable, scalable infrastructure.

Join Malt as a Senior Java/Kotlin Developer, leading features from conception to deployment, and collaborating with Product Managers and Designers to create impactful solutions.

As a Senior Fullstack Engineer, you will lead feature development from conception to deployment, ensuring user needs are met and maintaining high deployment frequency.

Lead the development of system architecture and software integration for DC fast charging in battery energy storage systems. Responsible for standards compliance, testing, and collaboration with engineering teams and external partners.

As a Data & AI/ML Architect, you will conduct workshops, oversee project delivery, design architectures, and mentor juniors while engaging with clients.

Develop analytics, trading models, and an electronic FX options pricer (with API integration). Build tooling and automation to support desk workflows, partner with traders on day-to-day trading, and explore AI/ML solutions to improve pricing, efficiency, and desk performance.

Senior Flood Modeller to develop and check hydraulic and water-quality models (fluvial, coastal, surface water and drainage), perform hydrological assessments, scope modelling approaches, lead tenders, mentor junior staff, liaise with clients and deliver projects using AECOM project management systems.

Deliver and check hydraulic and water-quality models (fluvial, coastal, surface water, drainage) using industry packages. Scope modelling approaches, perform hydrological assessments (FEH, ReFH2, WINFAP), lead tenders, mentor junior staff, manage client relationships, and deliver projects on programme and budget using AECOM project systems.

Lead delivery of real-time flood forecasting projects: assess existing models and data, build/calibrate forecasting and hydrological models, produce technical reports, mentor staff, support bids, and maintain client relationships while ensuring compliance with Environment Agency requirements.

Lead development and global rollout of core C++ trading platform components. Implement exchange connectivity (FIX, WebSocket, HTTP), optimize for ultra-low latency (kernel bypass, TLS), build trading algorithms, improve reliability and observability, and collaborate closely with quants and traders to deploy production systems.

Lead and deliver real-time flood forecasting projects: develop, calibrate and review hydrological and hydraulic models, analyse hydrometric data, produce technical reports, mentor staff, support tenders, and maintain client relationships.

Lead delivery of real-time flood forecasting projects: assess existing models/data, develop and calibrate forecasting and hydrological models, produce technical reports, mentor staff, support bids, and maintain client relationships.

Senior Flood Modeller to develop and check hydraulic and water quality models (fluvial, coastal, surface water, drainage), lead hydrological assessments, scope modelling approaches, contribute to tenders, mentor junior staff, manage client relationships, and deliver projects on programme and budget using industry-standard software and project management systems.

Develop and benchmark 3D computer vision and localisation systems (SLAM, visual odometry, scene matching, geo-registration, 3D reconstruction). Extend geometric deep learning and feature-matching methods, design experiments and benchmarks, adapt models to hardware constraints, and collaborate with research, engineering, and product teams to deploy robust AI solutions.

Design, build, and maintain automated test suites, evaluation scenarios, metrics, and datasets for AI-powered features. Automate QA workflows with Python and CI/CD, test APIs and ML model outputs, define quality strategy and acceptance criteria, create CI/CD quality gates, mentor teams, participate in code reviews, and document findings.

Lead end-to-end implementation of AI tools for Macro & Fixed Income PMs: build prompts, datasets, vector stores, and pipelines; deliver training and playbooks; drive adoption and measure ROI; liaise with central AI/Tech and Compliance to ensure governance and production-grade deployments.

Lead and grow a data engineering squad to build reliable, scalable data platforms and pipelines supporting experiments, real-time experiences and AI/ML use cases. Drive engineering excellence, delivery, observability, CI/CD, and cross-functional collaboration with product, analytics and data science.

As an Engineering Manager, you will lead high-performing teams, mentor engineers, set engineering best practices, and ensure rapid project delivery while collaborating cross-functionally.

The Graduate Machine Learning Researcher will design, test, and implement machine learning models to improve predictive accuracy in sports betting analytics. In a collaborative environment, they will interface with experienced professionals and be involved in R&D from design to implementation, utilizing their mathematical insights.

Design, build and maintain cloud-native ETL/ELT pipelines and data lake solutions using dbt, Snowflake/Databricks and AWS services. Optimize SQL and data models for performance and cost, create dashboards, follow CI/CD and software engineering best practices, and collaborate with architects, engineers and clients to deliver production-ready enterprise data solutions.