Top Python Jobs in London

Design, train, and validate multimodal, action-conditioned world models (video, state, action, language) for humanoid robots. Develop learned-simulator evaluation, generate synthetic rollouts for sim-to-real and policy training, build data pipelines from fleet telemetry, run large distributed training and scaling studies, and collaborate with pretraining, RL, and manipulation teams to integrate models into policy and safety workflows.

Lead development and integration of production-grade, deterministic control software for humanoid robots. Design real-time control architectures, implement high-performance control loops, industrialize algorithms, ensure safety and reliability, run automated testing (simulation and hardware-in-the-loop), manage releases, profile and optimize performance, and mentor engineers.

Develop and maintain embedded Linux platform software and core subsystems for humanoid robots, integrating sensors and safety systems, building kernel/device drivers, ensuring performance and reliability, leading cross-functional projects, and contributing infrastructure and safety practices for real-world deployments.

Build and maintain physics-based simulation environments and RL infrastructure for dexterous manipulation across industrial, service, and home domains. Design Gym-style observation/action/reward spaces, mitigate reward hacking, reduce sim-to-real gap, validate physics against real data, integrate high-fidelity 3D assets, optimize simulation throughput, and support large-scale GPU-accelerated training.

Design, simulate, and validate bipedal and wheeled robot platforms using physics simulation and reinforcement learning. Own URDF models and the CAD->URDF->simulation pipeline, develop benchmarks for locomotion/manipulation, analyze dynamics and actuator sizing, and provide quantitative feedback to hardware, control, and perception teams.

Develop and train language-vision conditioned manipulation policies with reinforcement learning in simulation and real robots. Build diverse simulated task suites, collect teleoperation trajectories for behavior cloning, establish real-world RL training pipelines, and research sim-to-real transfer methods.

Build teleoperation systems enabling human operators to control, recover, teach, and improve humanoid robots in real time. Design operator UX, integrate input devices, translate human input to safe robot commands, implement shared-autonomy, logging, replay, and safety safeguards, and test systems on hardware and in simulation to drive reliability and quality metrics.

Build and maintain device software and data pipelines for handheld gripper data collection devices. Implement sensor integration and temporal synchronization, recording/packaging episodes, validation tooling to detect data faults, operator-facing controls, and on-site support. Debug hardware integration issues and collaborate with hardware, AI, and data teams to ensure high-quality training datasets.

Own quality for the humanoid software platform: test the operator console, inference infrastructure, and backend services. Design and implement automated CI/CD test suites, run contract/integration/performance validations, define quality metrics and strategy, and document tests and processes.

Provide remote diagnostics and resolution for humanoid robots using telemetry and digital diagnostics. Produce precise physical-intervention plans for field or repair teams, escalate to engineering when needed, prioritize SLAs, document cases, and occasionally travel onsite as a "flying doctor."

Develop and iterate on pre-training and fine-tuning pipelines for VLA policies, own data-to-deployment loops, partner on data collection, scale distributed training, curate datasets and synthetic data, and optimize models for real-time edge inference.

Build backend and on-robot services to author, deploy, and manage fleet workflows. Implement workflow state management, event logging, APIs, data infrastructure, cloud deployment, observability, testing, and simulation-based validation. Collaborate with robotics, AI, and product teams to create operator-facing tooling and reliable production systems.

Design and implement a cloud platform to manage a fleet of humanoid robots, build backend APIs and robot-side services, deploy secure infrastructure (CI/CD, containers, IaC), implement observability and testing pipelines, automate workflows, and maintain documentation.

PhD-level research intern to investigate and prototype 3D computer vision methods (SLAM, VIO, localisation, reconstruction). Survey SOTA, design and benchmark algorithms under real-world conditions, convert ideas into prototypes, and report results to a distributed European team focused on deployable defence-grade spatial perception.

Lead a team of Credit Analysts to build and evolve Monzo's Credit Platform, including NPV modelling infrastructure and decisioning capabilities. Define platform roadmap, partner with Product, Engineering, Data and ML teams, and drive scalable credit strategies across products and markets.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design decisions, implements data pipelines, integrates ML/AI models, collaborates cross-functionally, delivers technical projects, embeds with customer teams, and contributes reusable assets to scale impact.

Monitor security alerts from Defender, SIEM and other tools, perform initial triage and analysis, document and escalate incidents, maintain SOC tooling, follow SOPs, join shift rotations, and support SOC-as-a-Service growth while staying current on threats.

Maintain and improve AWS infrastructure supporting Charlotte Tilbury’s e-commerce platform. Build self-service infrastructure provisioning, shared Terraform modules, CI/CD tooling, and developer experience improvements. Ensure cloud systems are secure, scalable, reliable, performant, and cost-efficient. Participate in observability, SRE practices, incident response, and production support while collaborating with cross-functional engineering squads.

Build and operate stateful streaming pipelines and Go services that process usage events into accurate, near-real-time billing data. Responsibilities include ingestion, validation, enrichment, pricing, storage integration, usage APIs, billing exports, failure recovery, idempotency, exactly-once processing, reconciliation, scalability, observability, and deployment ownership.

The Client Financing Strategist role involves developing pricing models, trading applications in Python/Scala, and improving risk analytics while leveraging GenAI technologies.

Designs, develops, tests, reviews, and maintains enterprise, cloud, hybrid, and cybersecurity training content, including Machines, Pro Labs, and Cloud Labs. Builds scalable environments using Active Directory, cloud services, networking, enterprise applications, and security controls. Researches emerging attack techniques and technologies, automates infrastructure deployment and workflows, collaborates with infrastructure and content teams, and supports documentation, validation, and quality assurance.

Supports commercial insurance pricing through data collection, validation, actuarial modeling, rate adequacy monitoring, account and portfolio analysis, risk audits, and management reporting. Collaborates with underwriters on complex specialty insurance contracts, pricing model development, business planning, and strategic growth analysis. Conducts industry research and communicates quantitative insights to stakeholders.

Own and scale outbound revenue infrastructure across client accounts. Build advanced Clay enrichment workflows, intent-based targeting systems, API and automation integrations, AI-assisted prospecting workflows, and email deliverability infrastructure. Partner with strategists to improve campaigns and performance, establish technical standards, document processes, test emerging GTM technologies, troubleshoot complex systems, and mentor junior and mid-level engineers.

Lead full-stack development and co-manage a lean engineering team to build SunCore's web and mobile infrastructure. Implement CI/CD, migrate hosting to DigitalOcean with Cloudflare, migrate CRM to HubSpot via Zapier, integrate multiple APIs and third-party services, and deliver a secure Flutter mobile app and dashboard with SOC2-level security, 2FA/biometric login, and wallet integrations.

Blend DevOps and security engineering to secure cloud infrastructure, CI/CD pipelines, web and mobile apps, and third-party integrations. Conduct penetration testing, threat modeling, automate security checks, manage certificates/DNS/Cloudflare, enforce access control and secrets management, support KYC-compliant onboarding, and lead incident response and SOC2 readiness.