Top Python Jobs in London

One-year, full-time fellowship supporting design, delivery, and evaluation of interventions for smallholder farmers. Duties include research and analysis, pilot design, field implementation, M&E, and cross-team collaboration with heavy mentorship and rotating in-country placements.

Design, build and deploy production-grade ML systems and infrastructure. Create reusable, scalable solutions, lead technical scoping and architecture, collaborate with data scientists and engineers, and advise clients and stakeholders on ML feasibility, standards, and delivery.

Lead design and delivery of Google Cloud solutions, set architecture direction, own DevSecOps practices, engage with clients, coach teams, and provide technical account management across cloud projects.

The Senior Data Scientist will collaborate with product teams, develop metrics, design data pipelines, and influence product strategy through data analysis at Intercom.

As a Senior Data Scientist at Intercom, you'll analyze data to drive decisions, support product teams, build data pipelines, and influence product strategy using AI tools.

Design, implement, and maintain data lakehouse architectures on AWS; build secure data pipelines with PII protections and compliance; advise clients across technical and executive stakeholders; manage data residency requirements; collaborate with analytics, security, and legal teams; support ML feature stores and model deployment.

The Full-Stack Engineer will develop core components of a trading system, support production systems, and contribute to trading logic design.

Join Starling as a Software Engineer to design, implement, and maintain ML-powered features, collaborating with engineers and data scientists, while delivering impactful solutions in a hybrid working environment.

As a Software Engineer in Data and Lifecycle, you'll design and implement solutions for trade automations, maintain reference data, and collaborate with stakeholders.

Seeking a Software Engineer for the Data and Lifecycle team to automate trade processes, maintain reference data, and collaborate with stakeholders on derivatives.

Design and build the Capacity and Quota Management control plane for GPU resource allocation. Implement reservation engines, quota control algorithms, APIs, rebalancing, and auto-reclamation; ensure consistency, reliability, and scalable distributed backend services.

Design and build distributed backend services for the cloud monetization platform, focusing on correctness, consistency, scalable microservices, distributed transactions, and reliable asynchronous workflows. Influence system architecture, own service implementations, and collaborate across teams to support billing, reservations, payments, and revenue flows.

Design, implement, monitor, and support WAN/LAN/wireless and firewall infrastructure. Deliver network projects, manage incidents, perform root-cause analysis, coordinate with ISPs/vendors, produce documentation, and support security and continuous improvement.

Design and build application-level AI features: implement RAG pipelines, prompt templates, retrieval strategies, and agentic workflows; integrate LLM-based functionality with legacy and multi-cloud systems; run structured evaluations, apply human-in-the-loop guardrails, and produce docs-as-code for handover to government engineers.

Lead QA and test strategy for an AWS-native big data platform. Define automated test frameworks, validate large-scale data pipelines (PySpark/EMR), integrate tests into GitLab CI/CD, manage risk and reporting, mentor QA teams, and ensure data integrity across cloud data lake workflows.

Hands-on Lead AI Engineer to design, build, and operate production-grade RAG, semantic search, embedding, and LLM orchestration systems in a UK government programme. Mentor engineers, implement Responsible AI guardrails, ensure security/observability, and enable capability transfer using Docs-as-Code and iterative delivery.

Build and operate ML infrastructure for training, evaluation, deployment, inference, and experimentation. Improve reliability, scalability, latency, throughput, and cost efficiency. Create reproducible pipelines, observability, benchmarking, and platform tooling enabling researchers and engineers to ship models to production.

Design, build, and ship LLM-powered applications and agent workflows. Integrate models with APIs, databases, search, and tools. Create prompting, memory, and orchestration systems; build evaluation frameworks; debug across model, backend, and UX layers; and optimize for reliability, latency, cost, and observability in production.

The Technical Lead will oversee regulatory reporting projects, ensuring compliance and collaboration with various teams while mentoring juniors.

The Data Centre Engineer will manage data centre operations including design, installation, and maintenance of equipment while ensuring data safety and accessibility.

Hands-on DevOps Engineer supporting AWS-based infrastructure and Kubernetes platforms. Build and maintain IaC (Terraform), CI/CD pipelines, monitoring, security, automation, and platform reliability. Support development teams, manage container image pipelines, maintain documentation, and contribute to cloud cost optimisation and incident resolution.

Design, build, and maintain high-performance C++ systems on Linux to support large-scale quantitative research and portfolio production. Develop distributed, scalable tooling, optimize algorithms and concurrency, collaborate with researchers and portfolio managers, and drive platform reliability and performance.

Lead end-to-end ownership of the data estate and delivery of large data transformation programmes. Manage stakeholders, vendors, budgets, SDLC, data platform architecture, compliance, and a cross-functional team to deliver Snowflake and relational database solutions aligned to business strategy, especially for insurance.

Lead deployment, configuration, and optimisation of enterprise software for customers. Design scalable Azure infrastructure using Terraform, deploy containerized apps on Kubernetes/Docker, manage SQL Server/PostgreSQL, automate tasks with PowerShell/Bash/Python, implement monitoring/observability, run workshops, and provide post-go-live support and documentation.

Lead a small squad to design, build, and ship new origination product categories and deep integrations. Translate ambiguous commercial goals into deliverable technical plans, mentor engineers, make risk judgments for deal-gating tooling, and represent technical direction to commercial and international stakeholders. Stay hands-on on the hardest technical work and ensure new products drive origination pipeline outcomes.