Top Python Jobs in London

Build and maintain full-stack features using React or Next.js, Python, databases, and APIs. Write tested code, participate in reviews and design discussions, resolve bugs, improve test coverage, and collaborate with product, design, and engineering teams throughout the software development lifecycle. The role also involves AI-assisted development, production monitoring, and progressively increasing ownership of system areas.

Own the architectural blueprint for Brahma Studio, defining system designs, service boundaries, APIs, RFCs, ADRs, and technical standards. Architect scalable, high-throughput data processing systems on GCP, optimize Docker builds, improve observability and resilience, and replace workarounds with maintainable abstractions. Write production Python, review code, mentor engineers, and coordinate architectural alignment across teams.

Build software, automation, integrations, and AI-driven tools that improve localization quality across design, development, and release. Review Figma designs and systems for localization readiness, perform multilingual functional and visual QA, investigate internationalization issues, and establish quality standards. Collaborate with design, product, engineering, and localization teams to shift quality practices earlier in the lifecycle, integrate validation into CI/CD, and mentor team members.

Own paid acquisition end to end across Meta, TikTok, and Snapchat, managing budgets, campaign structure, creative testing, portfolio allocation, measurement, and reporting. Build scalable creative pipelines, direct external creative partners, optimize campaigns using payback and lift data, and develop SQL/Python tooling, API integrations, reports, and automations. Work closely with founders, product, and data teams in a fast-paced remote environment.

Build Python-based backend services, APIs, and integrations that embed AI capabilities into a SaaS platform. Develop scalable customer-facing features, connect AI outputs to workflows and dashboards, collaborate with product, design, and platform teams, and implement observability, monitoring, and error handling. Contribute to the AI integration stack, including SDKs, MCP servers, and LLM orchestration.

Software Engineering Interns will help design, maintain, and scale infrastructure supporting Talos’s digital asset trading and settlement platform. Responsibilities include contributing to CI/CD, infrastructure-as-code, deployment tooling, monitoring, logging, observability, and production performance improvements. Interns will collaborate with engineering teams to implement infrastructure requirements and gain exposure to distributed systems, cloud platforms, Linux, networking, and platform engineering during a 12-week summer internship.

Lead development and global rollout of a machine learning research framework for training, evaluating, combining, and deploying trading models. Partner with quantitative researchers to test hypotheses, develop systematic trading strategies, and create alpha signals. Build end-to-end machine learning pipelines covering data preprocessing, model training, production deployment, and monitoring while applying modern software engineering, cloud, containerization, and MLOps practices.

Analyzes revenue performance, pressure-tests forecasts, identifies commercial drivers, investigates performance variances, and guides budgeting and planning. Builds business models for pricing and market entry, translates complex data into recommendations for senior stakeholders, and automates revenue reporting using SQL, BI tools, data warehouses, and billing data.

Full-stack mid-level engineer building and operating secure research environments (frontend, backend, infrastructure). Work includes Typescript/Node development, IaC (Terraform), Azure/Kubernetes, data modelling, operational management, and collaborating with cross-functional teams to enable secure researcher access to sensitive health data.

Develop and deploy greenfield full-stack services supporting trader workflow tooling for Citi’s Strategic Equity Solutions business. Responsibilities include designing scalable software, collaborating with business stakeholders, writing high-quality code, mentoring engineers, evaluating new technologies including AI tools, and owning the full software lifecycle through testing, deployment, and monitoring. The role emphasizes Python or Kotlin backend development, frontend frameworks, microservices, Kubernetes, OpenShift, and DevOps practices.

Designs and deploys autonomous AI agent ecosystems and LLM-powered workflows using leading orchestration frameworks. The role includes enterprise architecture, agent memory and tool integration, client workshops, pre-sales and RFP support, solution blueprints, cost estimation, reusable accelerators, AI governance, and technical mentorship. Candidates collaborate with consulting and domain teams to deliver client-centric AI solutions across industries.

Design, train, fine-tune, and deploy production-grade LLMs and AI pipelines. Optimize inference for low-latency and high-throughput, implement quantization/caching/batching, build real-time pipelines (WebSockets/SSE), manage containerized deployments (Docker/Kubernetes), and collaborate with stakeholders to deliver scalable RAG, voice, and document-intelligence solutions.

Analyze revenue performance, identify key drivers behind trends, pressure-test forecasts, refine commercial planning assumptions, and investigate revenue variances. Build business models for pricing and market entry, guide forecasting and budgeting processes, translate complex data into recommendations for senior stakeholders, and automate revenue reporting using SQL, BI tools, data warehouse, and billing datasets.

Execute and maintain ISO 27001 and SOC 2 compliance programs, operate Vanta, collect audit evidence, support audits, assess risks and vendors, manage security obligations, maintain regulatory documentation, and translate controls into engineering work. The role also supports customer security reviews, physical security, incident compliance, awareness training, business continuity, and disaster recovery evidence.

Build and operate production-grade platform capabilities for large-scale GPU infrastructure. Design Kubernetes operators and controllers, develop APIs, manage compute, storage, networking, and confidential-computing services, and improve observability and security. Engineers own their services in production, participate in on-call and incident response, collaborate across product and infrastructure teams, and maintain reliable interfaces, testing, versioning, and CI/CD practices.

Lead and grow Volta’s EMEA Platform Engineering organization, serving as deputy to the VP of Platform Engineering. Own regional team structure, hiring, delivery, architecture, reliability, incident response, and alignment between platform software, GPU hardware, networking fabric, and physical sites. The role requires hands-on technical leadership, cloud infrastructure expertise, organizational change management, customer credibility, and collaboration across distributed US and European engineering teams.

Lead the technical strategy, design, and production integration of fault detection and fallback systems for autonomous vehicles. Develop robust robotics solutions, collaborate with machine learning and software teams, guide architecture decisions, and improve overall system safety and reliability. The role also involves mentoring, defining acceptance criteria, analyzing fleet data, and potentially building monitoring, debugging, and real-time systems for large-scale driverless vehicle operations.

Develop and scale an AI-driven music and language learning platform using full-stack technologies including React, TypeScript, Next.js, and Python. Build new learner-facing features and authoring tools, improve production robustness, and contribute to technical decisions and engineering standards. Collaborate with AI, DevOps, data, and international development teams while using agile practices and AI-assisted development tools.

Own enterprise customer deployments from architecture through go-live and steady-state operation. Integrate the platform with identity, data, engineering systems, infrastructure, and model-serving layers across cloud, on-premises, air-gapped, GPU, and HPC environments. Partner with customer IT and security teams, troubleshoot complex incidents, create runbooks and post-mortems, and provide deployment feedback to Product. Travel within Europe and support customer operating hours.

Designs and operates hybrid-cloud platforms across AWS, Azure, and Google Cloud. Responsibilities include managing Kubernetes, distributed data technologies, infrastructure as code, CI/CD pipelines, cloud governance, security, observability, and production reliability. The role evaluates architectures, automates infrastructure, monitors cloud deployments, leads technical initiatives, and mentors engineers while collaborating with trading, development, infrastructure, and operations teams.

Build and operate large-scale data ingestion, document processing, search, and serving systems for AI products. Responsibilities include handling massive heterogeneous datasets, designing schemas and indexes, enabling keyword, vector, and structured search, linking information across sources, and optimizing performance, reliability, latency, and cost. The role owns systems end to end, from source acquisition through user-facing functionality, and collaborates with AI researchers and product engineers.

Develop and maintain resilient, high-throughput Java services for the LMEsmart inter-office trading platform. Build automated testing frameworks, integrations, recovery workflows, and real-time performance reporting. Optimize JVM applications, manage test environments, support distributed systems and data streaming, and deploy cloud-native solutions using containers and Kubernetes. Collaborate with IT and business stakeholders while documenting application and infrastructure designs and improving DevOps and security practices.

Build, deploy, and maintain backend solutions for websites, digital products, APIs, and integrations using primarily Python, Django, and Wagtail. Improve security, performance, reliability, and testing; troubleshoot live services; participate in code reviews and on-call support; collaborate with engineers, designers, client success teams, and clients; and contribute to technical planning, documentation, and delivery.

Set long-term technical strategy for backend identity systems, lead major distributed-system initiatives, ensure operational availability, establish engineering quality standards, collaborate cross-functionally, and mentor engineers. Build and launch highly available systems supporting international expansion, KYC verification, identity data management, decisioning, regulatory compliance, and global risk models.

Build and operate high-traffic backend services for Universal Wallet, supporting fiat and stablecoin deposits, withdrawals, balances, integrations, and settlement. Develop across Python and Kotlin/Java stacks, design APIs and event-driven systems, improve architecture and observability, review code, and participate in on-call production support. Collaborate asynchronously across teams, influence technical decisions, and deliver reliable financial infrastructure.