Top Python Jobs in London

Leads AI and automation initiatives across portfolio companies, partnering with executives to identify process improvements, build and deploy prototypes, manage technology partners, develop business cases, and scale reusable solutions. The role requires hands-on workflow automation, prompt engineering, RAG fundamentals, Python, and stakeholder management experience.

Deploy and integrate autonomous vulnerability-management platforms into high-security, sovereign, and air-gapped environments. Read and modify customer and platform code, identify vulnerabilities, verify patches, build security tooling integrations, and navigate authentication, network, compliance, and cross-domain constraints. Act as the technical bridge between customers and core engineering and AI teams while advising customer engineering, SOC, and operational leaders on automated defense and vulnerability remediation.

As an Enterprise Sales Engineer, you will provide technical expertise during sales presentations, product demonstrations, and evaluations, while supporting the Sales team in closing opportunities and gathering customer feedback.

Own the strategy, roadmap, priorities, and outcomes for a major Upsun Cloud platform area. Define customer problems and scalable technical solutions, collaborate with infrastructure engineering, ship iteratively, establish success metrics, and advocate for developers and AI agents. Partner across design, marketing, support, sales, and leadership to align delivery and go-to-market efforts. The role requires strong cloud infrastructure, developer platform, API, CI/CD, container, AI, and agentic development understanding.

Leads EMEA sales engineering strategy and a team of sales engineers. Partners with sales and customers on technical evaluations, demonstrations, proof-of-concepts, solution design, proposals, and trusted-advisor relationships. Oversees hiring, mentoring, performance management, technical collateral, metrics, budgets, and customer feedback to product and engineering teams. Requires extensive EMEA sales engineering leadership experience and expertise in cloud, container, and security technologies.

Build and maintain secure, production-ready ML solutions and cloud frameworks using Python and AWS. Collaborate with data scientists, platform teams, SRE, and engineering communities to integrate, deploy, monitor, and scale AIML systems following SDLC and MLOps practices.

Own the finance function across monthly close, management and investor reporting, revenue recognition, billing, tax compliance, payroll, treasury, statutory accounts, and FCA reporting for UK and US entities. Build scalable finance systems, automate workflows with AI, manage outsourced partners, and provide financial insight to the CEO, board, and investors. The role requires strong accounting, SaaS finance, modeling, compliance, and communication expertise.

Lead discovery, rapid prototyping, and deployment of production-ready AI solutions for supply chain and manufacturing. Build Python-based RAG pipelines, semantic search, multi-agent workflows, data integrations, and enterprise platform connections. Engage frontline operations, translate business needs into technical requirements, manage agile delivery, and ensure prototypes are scalable and transferable to core engineering teams. Work across SAP, MES, shop-floor platforms, databases, telemetry, and unstructured data while collaborating with security, data, and architecture teams.

Lead cybersecurity architecture and engineering across identity, cloud, data, endpoints, applications, networks, and third-party services. Design and validate Zero Trust controls, conduct architecture reviews and threat modeling, oversee detection and incident response, improve vulnerability management, and secure AI technologies including Microsoft 365 Copilot and AI agents. Automate security processes, support compliance obligations, advise senior stakeholders, and coach technology teams in secure engineering practices.

Advises large public-sector customers on Arista networking solutions, drives product expansion and revenue influence, and promotes Day 2 adoption. Provides technical assistance, proof-of-concept support, automation and optimization guidance, workshops, documentation, QBR participation, and proactive escalation coordination. The role connects customer infrastructure health with business outcomes, including improved automation, deployment speed, technology adoption, ROI, and TCO. It requires extensive customer-facing technical experience, advanced networking and automation expertise, consultative business acumen, and active UK Developed Vetting clearance.

Provide pre-sales technical support to UK public sector customers, partnering with account managers to identify needs and design data center, routing, campus, and security solutions. Lead architectural sessions, product presentations, proofs of concept, deployments, RFP/RFQ responses, feature requests, and customer feedback. Represent the company at events and author technical content while maintaining expertise in networking technologies and competitor solutions.

Lead software engineer on AI/ML data platforms building secure, cloud-native production systems. Designs, implements, debugs, and reviews code, drives adoption of AI-assisted engineering practices, mentors junior engineers, evaluates vendors, and ensures operational stability and secure SDLC practices.

Ten-week internship analyzing lending, credit risk, pricing, fraud detection, and economic trends. The intern will use Python or SQL, data modeling, hypothesis testing, and complex data analysis to inform lending decisions and improve strategy. They will generate insights, present findings to senior leaders, and collaborate with product and technology teams to implement recommendations.

Ten-week fintech internship focused on analyzing lending data, building models for default rates and NPV assumptions, and informing lending, pricing, and fraud decisions. The intern will conduct hypothesis testing, generate strategic insights, present findings to senior leaders, and collaborate with product and technology teams to implement improvements. Candidates should be analytical, curious, comfortable with complex datasets, and proficient in Python or SQL.

Manage daily operations for a European ETF and ETP product range, including pricing, NAVs, tracking error, collateral, market data, and counterparty risk. Support product structuring, launches, regulatory changes, and operational improvement projects. Resolve complex operational issues, coordinate with internal and external stakeholders, and improve scalability through automation, AI tools, Python, and VBA solutions.

Contribute code to Palantir's infrastructure platforms (Foundry, Gotham, Apollo) across backend, developer, frontend, and storage teams. Work on Kubernetes-based PaaS, deployment/change-management, and observability tooling to improve engineering velocity and reliability. Collaborate with engineers and non-technical stakeholders, learn quickly, and support developer workflows.

Embed with government customers to design, build, and ship custom software and LLM workflows. Own end-to-end projects, handle large-scale data, make architecture decisions, and maintain stakeholder relationships. Expect substantial travel and obtain security clearance. Responsible from first customer conversation through production delivery.

Build and maintain large-scale infrastructure for Palantir platforms (Foundry, Gotham, Apollo). Contribute to backend, developer, frontend, and storage infrastructure, Kubernetes-based PaaS, observability tools, and internal infrastructure used by sensitive environments. Collaborate across teams, write high-quality code, and improve developer productivity.

Embed with customers to design and ship custom, production-grade software and LLM workflows. Handle large-scale data, make architecture decisions, build front-end and infrastructure solutions, and manage stakeholder relationships while traveling 25–50% of the time.

Build and ship production-quality software across Palantir products (Gotham, Apollo, Foundry). Participate in full product lifecycle, collaborate with cross-functional teams, learn from a mentor, and engage with users to solve data-driven problems.

Contribute production-quality code to Palantir products (Gotham, Foundry, Apollo); participate across the product lifecycle; collaborate with cross-functional teams; learn from a mentor; and engage with customers to understand real-world problems.

Embed with customers to design and ship production software and AI solutions. Collaborate on architecture, handle large-scale data, build custom applications and LLM workflows, and manage stakeholder relationships while traveling to customer sites.

Embed with government customers to build production software and LLM workflows, handle large-scale data, collaborate on architecture/design, and own end-to-end projects. Interns travel (25–50%), engage directly with stakeholders, and are given meaningful responsibility from day one.

Owns complex human data and annotation programs end to end, translating machine learning requirements into workflows, standards, and instructions. Manages distributed annotator teams, task allocation, training, performance, quality, throughput, timelines, reporting, and risk. Partners with Quality, Product, and Engineering teams to establish measurable acceptance criteria, improve processes, and resolve technical edge cases for AI and robotics projects.

Own Encord’s data quality systems across automated evaluation and manual auditing. Build Python and SQL pipelines using LLM-assisted screening, agreement analysis, anomaly and drift detection, and ground-truth datasets. Hire and manage a distributed audit team, define quality rubrics and thresholds, report quality KPIs, oversee quality unit economics, and partner with Product and Engineering to embed measurement capabilities into the platform.