Top Python Jobs in London

Lead design and scaling of legal AI evaluation frameworks and benchmarks, build and maintain datasets, audit and score AI legal outputs, define metrics focused on reasoning and citation accuracy, and collaborate with engineering to translate legal errors into model fine-tuning feedback.

Lead technical SEO for content marketing: conduct technical audits, improve search and AI visibility (GEO/AEO), run SEO reporting and recommendations, and build AI-assisted workflows for content production and analysis.

Lead design and delivery of Generative AI solutions using Amazon Bedrock and orchestration frameworks. Build CI/CD pipelines, manage full-stack AWS infrastructure, ensure observability and AI governance, collaborate with stakeholders, apply Agile practices, mentor engineers, and integrate new AI innovations into production systems.

Build and ship AI-native systems for a fintech neobank: AI agents, RAG/LLM apps, tool-calling and automations to improve onboarding, KYC, support, risk review, CRM and operations, focusing on reliability, latency, cost, security and compliance while collaborating with product and engineering teams.

Lead global SaaS and cloud workplace operations, managing Microsoft 365 and Google Workspace, IAM (SSO, Entra, MFA), Zero Trust enforcement, automation (Power Automate, Zapier, PowerShell, Python), onboarding/offboarding, security/compliance collaboration, and mentoring IT teams to ensure secure, scalable, and efficient cloud environments.

The Senior Machine Learning Engineer will design, train, and deploy ML models for optimizing revenue in advertising, taking ownership of product development and leading the ML discipline.

As a Technical Product Manager (AI), you'll manage projects, prototype tools, and enhance AI insights for decision-making at Verve.

Design rigorous, deterministic advanced mathematics problems and verified solutions to evaluate and train state-of-the-art AI models. Produce reproducible computational workflows (using Python and scientific libraries), document clear reasoning in English, and create problems that test deep mathematical reasoning rather than memorization. Contract, part-time role (20 hrs/week) with immediate start.

Lead and own major components of DuckDuckGo's privacy technology using Go, Node.js, Python, and Perl. Design and implement privacy features, improve search and AI features without compromising privacy, build tracker-detection features, participate in privacy reviews and audits, and mentor engineers over time.

Design, build, and productionize AI/ML solutions within the Workday practice. Collaborate with data scientists and engineers to deploy scalable models, implement MLOps (CI/CD, versioning, monitoring), integrate with enterprise data systems and cloud platforms, and ensure reliability and performance of AI-driven features.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Lead design and implementation of scalable AI-centric systems for offensive security, develop agentic AI capabilities (LLMs, RAG), own feature lifecycle to production, mentor engineers, run design reviews, and integrate AI into microservice architectures with cloud, container, and messaging technologies.

Design, develop, and deploy machine learning and LLM-based solutions for risk scoring, compliance prediction, churn analysis, and contractor analytics. Integrate models into production on AWS and Azure, use Microsoft Fabric for data pipelines and feature engineering, implement model monitoring and retraining, and collaborate cross-functionally within an Agile SDLC.

Architect and build a production, self-improving learning platform: capture event pipelines, measure outcomes, implement recommendation and feedback loops, maintain knowledge graphs and vector stores, build feature stores and experimentation infra, and create evaluation frameworks. Spend majority time coding and shipping resilient systems while providing technical leadership and shielding the engineering team.

Client-facing role designing, building, and maintaining scalable Azure cloud infrastructure and data platforms. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, and mentor teams to deliver reliable cloud solutions.

Client-facing cloud engineer designing, building, and operating scalable AWS infrastructure and data-platform foundations. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, technical presales, and mentor junior engineers.

Design, build, and deploy AI systems (predictive models, NLP, generative AI) from PoC to production. Work with clients to define use cases, prepare large datasets, implement deployment and monitoring pipelines using cloud-native tools, and collaborate with cross-functional teams to operationalize AI solutions.

Lead verification strategy and execution for complex digital and mixed-signal designs. Architect UVM/SystemVerilog environments, develop advanced test benches, define coverage metrics, lead debug and post-silicon validation, mentor junior engineers, and drive methodology improvements while collaborating with design teams and customers.

Ensure high availability, performance, and scalability of Sedna's cloud SaaS platform. Build and automate infrastructure, manage CI/CD, monitor and troubleshoot production incidents, participate in on-call rotations, collaborate with product and engineering teams, and evaluate new tools to improve reliability and efficiency.

This role involves conducting red team operations, identifying vulnerabilities, gathering intelligence on threats, and managing infrastructure related to digital identity verification.

Develop and maintain scripts, API integrations, and full-stack Node.js web applications to support CAD, PDM, and engineering platforms; automate processes with PowerShell; work with SQL databases; use Autodesk Forge for integrations; improve development processes and mentor team members.

The Integration Engineer will design, develop, and maintain integrations for k-ID's services with clients, focusing on seamless implementations and troubleshooting technical issues for EMEA customers.

Lead and define the data science and AI strategy, deliver production-grade ML and generative AI solutions, operationalise models with MLOps and governance, build and mentor a high-performing team, and influence stakeholders to drive measurable business impact.

Design and evaluate realistic multi-file software engineering tasks: bug fixes, feature implementations, refactors, migrations, and test generation. Write specifications and reference implementations, extend unit/integration tests, review peer submissions, identify edge cases, and ensure alignment between specs, code, and expected outputs. Part-time, project-based consultant role, remote.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.