Top Python Jobs in London

Partner with investment teams to identify high-value AI use cases, design lightweight proofs-of-concept, enable users through training and best practices, provide light technical support, and track adoption and impact of AI solutions across EMEA research teams.

Lead end-to-end research in computer vision and spatial AI, developing novel algorithms (metric learning, 3D geometry, vision-language) and moving prototypes to production-grade, real-time systems. Shape research roadmap, publish at top venues, mentor junior researchers, and collaborate with engineering to deliver deployable spatial intelligence.

Build and deploy tailored customer solutions across software and hardware: write data pipelines, backend services, UI components, install/configure hardware, and surface product feedback. Work on ambiguous problems, engage stakeholders and customers, and ensure successful on-site deployments (up to 50% time).

Develop AWS serverless, event-driven cloud-native applications; build streaming data pipelines; modernize legacy systems to microservices and API-first designs; implement CI/CD and Infrastructure as Code (CDK/CloudFormation); ensure monitoring, logging, and system reliability (CloudWatch).

Own and ship full-stack product features end-to-end for an open-source LLM observability platform: design specs, implement frontend and backend work (TypeScript/React, ClickHouse, Python), talk to users, write docs, and improve developer experience while collaborating in a small engineering team.

Own and improve Langfuse SDKs (Python and TypeScript), ensuring reliability, performance, API design, integrations with AI frameworks, OpenTelemetry support, documentation, and developer experience.

Design and deliver production-grade React and TypeScript portals and dashboards backed by Snowflake pipelines. Integrate front-end with backend inference APIs and analytics, ensure high-throughput performance, availability, security, and role-based access. Own front-end DevOps, contribute component libraries and collaborate with ML and backend engineers to surface model insights.

Design, build, and deploy ML-powered services, APIs, microservices, and full-stack tools for fraud and identity analytics. Integrate models into real-time production, implement automated training/monitoring workflows, own DevOps and security for services, and collaborate with data scientists, architects, and QA.

Design and deliver scalable Customer Data Platform solutions (Oracle Unity), build and operate data pipelines and Customer 360 models, integrate CDP with data lake/CRM/marketing systems, lead architecture and data modelling workshops, ensure data quality, governance, security, and support CDP operations, and partner with Oracle implementation teams.

Design, build, operate and maintain customer authentication and authorization systems. Lead technical solutions from product scope through delivery, collaborate with product and engineering teams, work on greenfield and legacy code, influence architecture, mentor engineers, and apply distributed-systems best practices across cloud, container, streaming, and AI-based systems.

Lead technical direction for Short Term Credit platform, design system and data architecture, mentor lead engineers, drive adoption of Generative AI, produce technical designs, troubleshoot issues hands-on, and influence stakeholders to deliver mission-critical fintech products.

Design, train, and deploy state-of-the-art, highly efficient computer vision and multimodal LLM models for low-power edge devices. Improve training algorithms, data pipelines, model architectures, and deployment tooling to ship AI features to millions of cameras. Prototype demos and optimize cloud and on-device inference.

Build and optimize state-of-the-art, resource-efficient deep learning models and multimodal LLM features for deployment on low-power embedded devices. Improve training algorithms, data pipelines, model architectures, and training infrastructure (cloud and edge), and ship models to production at scale using Kubernetes, GCP, and auto-labeling workflows.

Lead data science initiatives to enhance player engagement and business outcomes through machine learning solutions, collaboration, and technical leadership.

Lead and grow a team of Support Engineers for Sigma, becoming a product expert, improving support processes and metrics (CSAT, IR, SLA, TTR), collaborating cross-functionally, and deriving insights from support data to drive customer retention and operational efficiency.

Lead design, development, and maintenance of scalable software systems. Provide technical leadership across multiple teams, act as prime technical contact, collaborate with customers and partners, mentor engineers, and contribute to architecture, delivery planning, and DevOps practices.

Design, deploy, and maintain Elastic Cloud Enterprise environments; build secure, scalable Elasticsearch solutions for observability and search; optimize cluster performance; implement indexing and storage strategies; automate operations and integrate Elasticsearch with DevOps, Security, and Development teams; produce technical documentation and drive continuous improvement.

Design, automate, and maintain scalable infrastructure and an Internal Developer Platform. Build CI/CD pipelines, manage Kubernetes clusters, implement monitoring/logging, create agentic AI workflows, and ensure infrastructure security and documentation while collaborating with development teams.

Lead design, implementation, and long-term maintenance of complex backend systems. Drive architecture and technical decisions, mentor engineers, improve observability, reliability, and performance, collaborate with product and data, identify and remediate infrastructure weaknesses, and contribute to hiring and technical standards.

Build, deploy, monitor and recalibrate credit risk machine learning models; perform data extraction, wrangling and feature engineering; detect data/model drift; improve decision explainability; optimise data pipelines and partner with product, engineering and operations to implement lending, acquisition and affordability strategies.

As a Technical Consultant at SS&C Intralinks, you will implement and support advanced solutions, focusing on API services, gather requirements, and manage client implementations while ensuring a positive experience.

Lead frontend or full‑stack development for ONDA's web and mobile apps. Own architecture and delivery, iterate features via A/B testing, collaborate with product and leadership, debug across the stack, and help build the engineering team and roadmap.

Lead the development of the FTSE Russell Index Platform by designing and integrating Java and Python applications with AI capabilities. Guide engineering best practices and mentor junior team members in delivering high-quality, scalable solutions.

Lead the Projects engineering stream delivering RegTech solutions to clients. Manage ~15 engineers across delivery pods, oversee intake, capacity planning, delivery risk, stakeholder alignment, and people development. Define progression, embed processes, and collaborate with product and engineering leadership on resourcing and hiring.

Design, build, test, deploy, and support full-stack research technology solutions. Collaborate with business analysts, engineers, and QA to translate requirements, implement services and web/mobile clients, improve performance, enable observability and on-call support, and apply AI-driven techniques to optimize workflows.