Top Python Jobs in London

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 a product engineering team as a hands-on Technical Lead: set technical direction, ensure quality, partner with Product, mentor engineers, make architecture and sequencing decisions, and contribute code while aligning with cross-domain staff engineering.

Lead backend and systems engineering from design through production for connected, embedded, edge-computing healthcare products. Design distributed systems, write primarily Python, improve testability and reliability, mentor engineers, collaborate cross-functionally, and produce clear technical documentation.

Design, build, and maintain Python-based AI applications and intelligent workflows. Integrate AI/ML models and LLM APIs, implement APIs and microservices, optimize data pipelines, ensure scalability, security, CI/CD, and collaborate across teams to deliver production-grade AI features.

Design, build, and operate multi-region AWS platforms and cloud networking (VPCs, Transit Gateway, PrivateLink). Automate infrastructure with IaC, implement security controls, enable cross-region routing, ensure HA/DR, monitor with CloudWatch/X‑Ray, troubleshoot networking/latency, and collaborate on CI/CD and platform self-service.

Join the Integration team to collect, validate, map and load high-volume financial data from clients into SteelEye's analytics platform. Engage stakeholders, resolve data queries, refine operational processes, and perform industry research to meet data quality metrics.

Join the Pretraining team to design and implement model architectures, optimizers, and data pipelines; run and analyze experiments; scale and optimize training infrastructure; and develop tooling across the stack to advance large language model research and production.

Own full revenue pipeline and close enterprise PLM deals while leading implementations. Responsibilities include technical discovery, commercial negotiation, architecting data schemas, migrating legacy data, driving user adoption, and feeding product insights back to engineering to accelerate time-to-value.

Lead and execute a multi-year GenAI strategy for COO Technology, build a production-grade shared AI platform, deliver enterprise-scale agentic and LLM solutions, ensure regulatory-compliant deployments, run AI governance, and recruit and operate a high-performing AI engineering organization with budgetary ownership.

As a DevOps Engineer, you will build and maintain blockchain networks, enhance infrastructure, handle system administration for Linux servers, create documentation, and apply security best practices.

As a DevOps Engineer, you will build and maintain blockchain networks, manage Linux servers, improve infrastructure security, and automate processes.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

Design, build, and maintain large-scale, high-performance distributed systems and backtesting platforms. Write production-quality Python on Linux, learn/use C++, and apply strong data-structures, algorithms, concurrency, and system-programming skills. Collaborate with researchers to support scalable quantitative research and production trading workflows.

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.

Lead the delivery of scalable software solutions to improve patient outcomes in primary care. Collaborate across teams to define requirements and drive impactful changes.

Deliver hands-on FinOps engineering for on-premises estates: integrate cost data (CMDB, asset, licensing, monitoring), build/maintain ETL pipelines and dashboards, analyse usage and licence patterns, identify savings, support governance, and coordinate onshore/offshore workstreams following the FinOps.org framework.

Lead solution strategy and pre-sales for enterprise AI engagements: define architectures, run discovery workshops, build POCs/reference architectures, align delivery, support deal shaping, and drive AI practice growth across Sales, Marketing and Delivery.

Investigate and improve the quality of chartering datasets covering vessels, ownership, fixtures, cargo orders, positions, and shipping zones. Use SQL and Python to analyze large datasets, identify inconsistencies, develop validation checks, and investigate root causes. Review AI-parsed fixture data, maintain geographic mappings in QGIS, establish data-quality metrics, and collaborate with Product, Data, Research, Engineering, and AI/ML teams to drive systematic improvements.

Develop and maintain scalable full-stack web applications and AI/ML-enabled software using Python, React, TypeScript, PostgreSQL, Kubernetes, and cloud-native technologies. Collaborate with engineers, scientists, designers, and clients to deliver product features, manage technical delivery, make architectural decisions, and uphold testing, documentation, CI/CD, and deployment standards. The role involves Agile development, production ML deployment, client-site travel, and eligibility for UK Security Vetting at SC level.

Build and manage automated outbound revenue systems across client accounts. Architect Clay workflows, enrich and validate lead data, define ICPs and TAMs, implement intent-based triggers, connect tools through n8n, Make.com, and Zapier, and create AI-personalized outreach. Integrate APIs and lightweight Python or JavaScript scripts when needed, brief strategists, improve data quality, and evaluate emerging GTM technologies.

Designs and operates security controls across AWS and Azure environments. Responsibilities include cloud security monitoring, incident response, security automation, Infrastructure as Code standards, CI/CD security integration, policy-as-code, vulnerability management, architecture reviews, risk assessment, compliance support, penetration testing coordination, documentation, and mentoring. The role collaborates with DevOps, SRE, Engineering, Compliance, and Product teams and participates in an on-call incident response rotation.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

Define and maintain cloud platform architecture and standards; lead technical design and delivery of platform capabilities, integrations, and migrations; produce architecture artifacts and roadmaps; participate hands-on in engineering (IaC, automation, containers); review solutions, manage risks, support customers, and mentor engineers while ensuring security, resilience, observability, and regulatory compliance.

Own and operate Databricks production data pipelines for a predictive CRM platform: monitoring, incident response, cost and performance optimization, migrating legacy ETL, onboarding customers, enforcing Delta Lake architecture and multi-tenant isolation, and applying CI/CD, security, and observability best practices to ensure reliable, scalable data delivery.