Top Python Jobs in London

Design and scale end-to-end AI/ML solution patterns, data pipelines, and model architectures; lead pilot MVPs/PoCs into production; define AI governance and best practices; collaborate with architects, engineering, and sales to drive services growth.

Lead Data Analyst responsible for advanced analytics, quantitative analysis, experimentation, and commercial modeling. Partner with Data Engineering to implement scalable pipelines, drive insights into decision-making, and embed customer research into operations. Mentor analysts, build data literacy, and influence cross-functional strategic and tactical decisions.

Join the Construction Engineering team to deliver temporary and permanent structural designs, temporary works, construction sequencing and digital/parametric design solutions. Responsibilities include temporary works design, stage analysis, computational design, design checking, site inspections, client coordination, mentoring juniors, and supporting project budgeting and quality assurance.

Deliver advanced structural design and analysis across complex projects using nonlinear, dynamic, seismic and performance‑based modelling. Support concept through construction, develop temporary works and erection schemes, conduct site inspections, coordinate multidisciplinary teams, implement QA and H&S, mentor juniors, and support project budgeting and client engagement.

Lead delivery of temporary and permanent works for high‑profile construction projects. Develop design philosophy, produce and check detailed designs, coordinate clients and subcontractors, support site teams, mentor juniors, and ensure compliance with quality, health & safety and company procedures.

Design, implement and maintain backend systems and services for the Horizon platform. Build cloud-native AWS HTTP APIs and event-driven microservices (gRPC) in Rust and Python, design data models for complex trades, work with MySQL, MongoDB and DynamoDB, collaborate with quants, front-end and platform engineers, engage with clients and stakeholders, and deliver performance-critical, observable, testable code.

As a Forward Deployed Engineer, you will design, develop, and deploy AI solutions, focusing on agent-based architectures, automation, and customer collaboration to enhance IT operations.

As a Sector Analyst for European Equities, you will analyze alternative data, produce research, and support investment professionals in their decision-making processes.

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.

Deploy, integrate, and operationalize Applied Intuition's vehicle intelligence products with defense and government customers. Perform software engineering, OS configuration, system deployment, and hardware integration. Design scalable engagement and architecture patterns, collaborate with product and engineering teams, and drive technical outcomes in challenging operational environments.

Design, build, and deploy Python-based microservice APIs that call LLMs and generative models to automate business processes and support game services. Translate business requirements into API specs, integrate services across systems, collaborate with DevOps for cloud deployments, optimize AI model performance, write and debug core AI code, and communicate with cross-functional stakeholders.

Define system requirements and architectures, integrate and deploy autonomy and perception software onto vehicles, lead systems engineering artifacts, perform hands-on field testing and validation, enable inter-vehicle communications, use simulation for validation, and collaborate across software, perception, and field teams to ensure robust, safe deployments.

Lead design, development, and verification of autonomy solutions for defense: write perception and planning algorithms, prototype and deploy ML models, optimize performance, build system architectures, collaborate cross-functionally, mentor junior engineers, and test/debug with attention to documentation and emerging AI techniques.

Design and implement single- and multi-target detection, tracking, and decentralised multi-agent sensor-fusion and state-estimation algorithms for unmanned autonomous systems; productionize algorithms into robust deployable software and collaborate with cross-functional teams.

Design, build, and maintain scalable, secure cloud infrastructure across AWS and Azure using Terraform, Docker, and CI/CD. Manage production environments, monitoring, security, IAM, secrets management, automation, cost optimization, and collaborate with dev/DevOps teams to ensure high availability and reliability.

Design and execute carrier-scale validation campaigns for Telco and MSSP reference architectures (CGNAT, SecGW, SD-WAN, uniSASE, large-scale firewalling). Build and automate performance and scalability tests (using Spirent/Ixia/FortiTester), integrate tests into CI pipelines, produce docs, demos and customer reports, and feed findings to Product and Engineering. Work directly with field SEs to turn customer requests into reusable evidence.

Deliver cloud security consulting, design multi/hybrid-cloud security blueprints, implement Fortinet-based cloud solutions, produce automation/architecture code and POCs, publish reference architectures and technical content, run demos/webinars, and advise customers on secure cloud deployments.

Provide pre-sales public cloud and application security expertise to sales and partners across EMEA: lead technical discussions, demos/POVs, respond to RFPs, build sales technical materials, consolidate customer feedback for Product Management, and support commercial strategy and seminars.

Hands-on cloud engineer responsible for designing, implementing, and supporting Azure and Oracle Cloud (with AWS onboarding) IaaS/PaaS solutions, driving automation, producing architectures, and collaborating with app/infrastructure teams to ensure secure, scalable, and cost-efficient cloud platforms.

The Director, Head of Cloud will define and execute a multi-cloud strategy, oversee cloud implementation and governance, and lead a team to modernize infrastructure and promote cloud solutions across MUFG.

This role involves rapidly building prototypes, engaging with customers to understand needs, and collaborating with teams to shape product direction. You'll demonstrate technical solutions in executive meetings and act as a forward-deployed engineer to validate opportunities on-site.

The role involves designing and building end-to-end prototypes, collaborating with sales teams, and representing the company in executive meetings, requiring strong customer-facing skills and technical expertise.

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.

Build and operate shared cloud infrastructure and developer tooling across GCP and Azure with a focus on AI enablement. Implement and manage CI/CD, containerised deployments (Kubernetes/Cloud Run), Terraform-managed infrastructure, observability, guardrails, and cost controls. Prototype and productionise AI agents (Claude), integrate agent tooling, support Azure-to-GCP migration, and drive adoption via docs, templates, and cross-team collaboration and mentorship.

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.