Top Python Jobs in London

Leads business insights for global eCommerce by analyzing commercial performance across merchandising, pricing, marketing, CRM, content, supply chain, and customer behavior. Identifies anomalies, root causes, risks, and opportunities through hypothesis-led analysis, then delivers prioritized recommendations and executive-ready data stories. Partners with cross-functional and market teams to support performance reviews, planning, and commercial decision-making.

Own the company’s end-to-end data platform, including ingestion, S3 data lakes, ClickHouse, dbt transformations, orchestration, and BI/CRM data delivery. Improve reliability, historical accuracy, cost, and metric governance while defining and defending business KPIs. Partner with Customer Success, Sales, Product, and leadership to translate business questions into durable metrics and establish data standards. This is a senior individual contributor role focused on hands-on engineering, analytical rigor, and stakeholder communication.

Lead technical strategy and architecture for major federal Appian engagements, including RFIs, RFPs, OTAs, executive briefings, secure cloud and on-premises deployments, and AI-powered demonstrations. Advise DoD, Intelligence, and Civilian agencies; translate mission requirements into modernization roadmaps; partner with sales on pipeline and deal strategy; mentor solution consultants; and influence product development. The role requires extensive federal compliance expertise, enterprise integration knowledge, and 50–70% travel.

Develop novel machine learning methods and architectures for generative conversational speech-to-speech models. Conduct research in speech synthesis and recognition, collaborate with engineering and data teams to improve production pipelines, and help scale proven research into Spotify products. The role involves developing state-of-the-art models, evaluating quality and realism, supporting new speech use cases, and sharing research expertise across the team.

Analyzes revenue forecasts, portfolio performance, hedging, contracts, power markets, regulations, and commercial risks for battery energy storage assets. Develops data-driven recommendations, supports investment cases and project design, coordinates external advisors, and contributes to improved data, AI, reporting, and forecasting tools across UK and European markets.

Leads a 30-person enterprise reporting and analytics engineering organization. Owns the roadmap, budget, hiring, governance, semantic models, metric layer, data products, visualization platforms, metadata, lineage, and reporting rationalization. Partners with Data Engineering, Product Management, and Data Science to deliver governed analytics, AI-enabled access, anomaly detection, and proactive analytic agents. Establishes engineering standards, intake and prioritization processes, self-service capabilities, and executive-facing data solutions.

Build and operate production-grade AI systems powered by LLMs, including intelligent agents, RAG pipelines, model orchestration, MCP integrations, vector search, and scalable backend infrastructure. Develop REST APIs, retrieval and knowledge layers, tool-use systems, monitoring, and deployable services using Python or TypeScript, Docker, cloud platforms, and CI/CD. Collaborate with product, engineering, data, and design teams while taking solutions from prototype through production.

Design, build, and deploy scalable AI architectures, pipelines, LLM integrations, RAG systems, and multi-agent workflows. Operationalize generative AI and NLP solutions in production, collaborate with data engineers on infrastructure and vector databases, and champion AI-assisted coding practices. Provide technical consulting to clients, mentor teams, and advise on AI product development, modern data stacks, synthetic data, and explainable AI.

Leads actuarial insights, reporting, pricing initiatives, and modernization projects within a property and casualty insurance pricing team. Responsibilities include translating complex data into business recommendations, improving reporting controls and data quality, adopting new data technologies, partnering with analytics and underwriting teams, and managing an MI Manager and Actuarial Analyst. The role also supports junior actuary development and requires strong actuarial, pricing, leadership, analytical, and project delivery expertise.

Research and develop SLAM, VIO, 3D spatial perception, and camera pose estimation algorithms for resource-constrained edge devices. Translate research into real-time, low-latency neural and spatial pipelines running on mobile NPUs, DSPs, and GPUs. Build on-device capabilities for augmented reality, enterprise vision, barcode recognition, OCR, and multimodal edge AI while collaborating with hardware, software, and product engineering teams.

Develop Python-based geospatial analyses to quantify carbon removal and reductions for biosphere projects. Build above-ground biomass estimates, dynamic baselines, and uncertainty quantification approaches aligned with validation protocols. Support commercial analysis for prospective project developers, convert bespoke solutions into reusable code, and collaborate with Data Science and Biosphere Science teams. The role requires strong data analysis, geospatial data, cloud-hosted tools, pipeline management, machine learning integration, customer communication, and adaptability in a fast-paced in-person environment.

Leads the technical direction and delivery of enterprise AI programs, designing agentic systems, multi-agent workflows, RAG pipelines, and generative AI applications. Builds production Python services, integrates databases and LLM tooling, establishes AI governance and observability, and partners with platform engineering on deployment. Translates enterprise needs into AI roadmaps, provides architectural oversight, mentors engineers, codifies reusable patterns, and communicates outcomes to senior stakeholders.

The Head of Research and Development for AI Safety will lead a research team focused on AI safety, drive the research agenda, manage publications, and influence AI safety strategies with industry impact.

Manage and optimize financing for a European-focused fixed income portfolio across repo, total return swaps, and other channels. Responsibilities include counterparty relationships, pricing and financing analysis, cash and collateral management, margin negotiations, FX and money market activity, P&L allocations, risk support, and automation of treasury processes. The role partners with global treasury, trading, portfolio management, risk, and back-office teams while supporting new business initiatives.

Develop pricing models using SQL and Python, analyze claims, communicate insights, and collaborate with engineering on pricing strategies. Opportunity to manage a small team.

Own investigations and data-driven solutions across search, supply, and commerce. Analyze complex datasets using SQL and Python, identify incident patterns and product opportunities, connect data sources, and support cross-functional customer experience initiatives. Mentor junior colleagues, guide problem-solving, balance competing priorities, and help convert recurring issues into lasting improvements. Marketplace or product analytics experience is beneficial but not essential.

Manage and prioritize client support cases, investigate and reproduce technical issues, identify root causes, collaborate with R&D, communicate solutions clearly, document reusable knowledge, and contribute to continuous improvement.

Build and lead frontend architecture for a new AI-first planning and simulation enterprise SaaS product. Develop high-performance Angular interfaces for large, data-heavy workflows, contribute to Go backend services, integrate APIs and identity systems, and support cloud-native deployment, CI/CD, and observability. Provide technical leadership through architecture decisions, code reviews, mentoring, and engineering standards while ensuring security, performance, quality, and maintainability.

Build and support a full-stack energy trading platform covering physical commodities, derivatives, nominations, positions, and risk. Collaborate directly with traders and business users to translate requirements into production features, extend support for new markets and products, maintain the platform, and contribute to technical direction and code quality.

Own AI product bets end to end, from customer discovery and data analysis through prototyping and production delivery. Build agentic workflows, harness improvements, integrations, backend systems, evaluation frameworks, instrumentation, and quality metrics. Collaborate with customers, go-to-market teams, founders, and platform engineering while making evidence-based product decisions. Requires strong backend and full-stack skills, production LLM experience, and comfort operating in an ambiguous early-stage startup environment.

Design, provision, and operate reliable shared infrastructure across AWS, GCP, Azure, and on-premises environments. Manage Kubernetes clusters, multi-tenancy, secrets, GPU workloads, networking, service meshes, and infrastructure as code using Terraform and Crossplane. Develop operators, establish reliability targets, respond to incidents, and partner with security and platform teams on governance and compliance.

Develop scalable Python software and reusable components for a cloud-native investment platform. Build AWS and Azure solutions, including serverless services, data workflows, and analytics capabilities. Collaborate with investment, product, data, and operations teams to translate business needs into secure, maintainable products. Apply Agile, DevSecOps, CI/CD, testing, and code review practices, while coaching junior engineers and contributing to agentic development workflows.

Build and evolve cloud-native investment technology platforms using Python and AWS. Develop reusable components, analytics workflows, ETL and distributed-computing solutions, while collaborating with investment and business teams. Design scalable products, embed agentic development practices, follow Agile and DevSecOps methodologies, and coach junior engineers. Work with SQL and NoSQL databases, contribute to testing and CI/CD improvements, and translate investment challenges into secure, maintainable technology solutions.

Designs and maintains secure, scalable Azure cloud platforms and CI/CD pipelines. Develops Infrastructure as Code with Terraform and Bicep, automates provisioning and deployments, embeds security and testing, implements observability, troubleshoots complex infrastructure issues, and improves reliability. The role also supports containers, governance, documentation, and technical mentoring across multidisciplinary delivery teams.

Own end-to-end delivery of AI automation projects for client organizations, from process discovery and solution scoping through agent configuration, integration, launch, and production troubleshooting. Translate business rules into agent logic, build prototypes and integration code, lead client stakeholders, drive measurable business outcomes, and share reusable learnings with product and engineering teams. The role requires frequent travel to client sites across the UK and EU.