76 to 100 of 445 Anthropic Claude Jobs in London

extensibility outlets for enterprise AI Platforms with consistent engineering approaches: Build automated procedures to harvest, standardize, and deploy skills to AI Platforms such as Claude and Copilot. Develop continuous delivery pipelines, including security scanning, for plug-ins and connectors. Build and continuously maintain deployments of AI models within ...

Familiarity with modern JavaScript frameworks such as React, Vue, or Node.js to assist in custom app development. Practical experience using AI‐augmented tooling (e.g., Claude Code, Cursor) to enhance daily productivity, scale technical output, and model AI best practices. Strong sales acumen and prior experience in a technical ...

collaborate on scope, implement, test, release, and iterate based on real usage and customer feedback. Use leading-edge AI tools (e.g. Claude) on a daily basis to move faster, improve quality, and build AI-native capabilities where it makes sense. Review pull requests with depth, improve test coverage ...

Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step 1: People Team Screening Call (30 min) Step 2: Hiring Manager Call: Experience (45 min) Step 3: Technical Task: covering both ...

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working … together to build beneficial AI systems. About the role As an Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with engineering ...

Engineering Manager, Connectivity - London London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers … policy experts, and business leaders working together to build beneficial AI systems. About the role Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access ...

Indicium AI was Anthropic’s first European launch partner - and sits among a handful of organisations globally trusted by Anthropic to deploy Claude at enterprise scale. We are also one of the first four OpenAI partners in the UK, and Databricks Ventures has invested in our business … clients, not in a presentation but in production. We invest seriously in our people. Every FDE at Indicium AI has access to Anthropic training, and a flexible learning budget to go with it. All of our staff are equipped with Claude licenses for Chat, CoWork and Claude ...

secure, scalable and production-ready AI solutions. Key experience required: Strong Python and backend engineering experience Hands-on experience with OpenAI and/or Anthropic Claude APIs Practical experience with prompt engineering and LLM application development Experience with RAG, embeddings and vector databases Google Cloud Platform experience, ideally ...

APIs, automation and AI-enabled solutions that support the firm's investment platform. The business has embraced AI-assisted engineering, with developers actively using Claude Code, OpenAI Codex and modern AI tooling as part of their day-to-day development process while exploring agentic workflows across the organisation. What ...

engineering decisions and raise engineering standards across multiple teams. You’ll also be joining an engineering environment actively adopting AI‐assisted development tooling, including Claude, so we’re particularly interested in engineers who are already using AI to improve their own software engineering workflows. Contract ...

someone early in their software career who wants to learn quickly, ship fast and make real progress using modern AI coding tools such as Claude, Cursor, Augment, GitHub Copilot or similar . About MyPocketSkill MyPocketSkill helps young people: Find paid work in areas like tutoring, social media and photography ...

OWASP principles. Champion of AI‐first development — experience setting standards for AI‐assisted coding, automated testing, and code generation using LLMs and tools like Claude Code or similar. Experience delivering in agile environments, adapting processes to what actually works for the team. Full professional proficiency in English — written ...

team. Strong problem-solving and analytical skills. Ability to learn new technologies and frameworks quickly. Desirable Experience using AI-assisted development tools such as Claude Code, OpenAI Codex, GitHub Copilot or similar tools. Working within an Agile software development environment. Experience with automated testing and/or test-driven ...

LLMs AI Agents Graph analytics Behavioural modelling Cyber security Network intelligence PyTorch XGBoost Our technology Python SQL AWS PyTorch Scikit-learn XGBoost Docker Kubernetes Claude Code GitHub Copilot LLMs AI Agents Why Friend MTS? AI is becoming one of the core capabilities of Friend MTS. This is an opportunity ...

self‐start from zero, respect no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back ...

uncomfortable with frequent context-switching and urgent pivots. Our current stack Python repo and TS monorepo (platform) · PostgreSQL + Prisma · AWS (Terraform) · GitHub Actions · Claude Code + Cursor· AI/agent framework: mostly Langchain ecosystem The process Intro call (20 min): culture & role fit. Technical interview ...

Awareness of MCP and tool‐orchestration concepts and their implications for composable, data‐driven AI systems. Fluent use of AI‐assisted development tools (e.g. Claude Code, Cursor), with a clear view of where they help and where human design judgement must lead. Security and compliance experience (e.g. ...

based architectures, retrieval systems, model evaluation frameworks and ML-driven scoring approaches. Significant experience using AI-assisted engineering tools and coding agents, such as Claude Code, Codex, Cursor or similar technologies, throughout the software development lifecycle. Leadership capabilities Ability to establish and communicate a compelling technical vision and influence ...

tools, workflow automations, or practical AI solutions that improve recruiting or business processes. Direct experience using AI development environments or coding assistants (such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar tools) to create repeatable sourcing workflows, structured research outputs, market intelligence, process automation ...

with data pipelines and relational databases (PostgreSQL), and building systems that serve data reliably at scale. Expert-level use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar). You know when to trust them, when to intervene, and how to get real leverage from them. ...

bring experience in many of these areas: Production Python Engineering: Strong Python skills, writing clean, testable, production‐quality code using AI coding tools fluently (Claude Code, Cursor, Codex). LLM & Agent Systems: Proven experience building LLM‐powered applications and agent pipelines in production environments. Context Engineering: Deep understanding ...

demonstrable, recent use of AI‐native development tools as a core part of your daily workflow. Daily proficiency with AI coding tools such as Claude or GitHub Copilot. Hands‐on LLM integration experience. Working knowledge of MCP (Model Context Protocol), REST APIs, and microservices architecture. Cloud platform experience. Experience ...

performance management as they relate to AI adoption. TOOLS & PLATFORMS Candidates should have hands‐on working experience with a selection of the following: Claude Code, Microsoft Copilot, Copilot Studio, and Power Automate for workflow automation and agentic capabilities. Figma Make and CloudFlare for prototyping and deployment infrastructure. Databricks ...

document comprehension at scale Context management AI agents, MCP servers, and best‐practice configuration of, for example, AGENTS.md Advanced use of tools such as Claude Code and Codex Assistants and copilots embedded into workflows Classification, extraction, and decision support tooling Retraining and fine‐tuning models Trade‐offs between different ...

systems not necessarily as a researcher, but as someone who has shipped ML-powered features. Active, current hands‐on experience with agentic development tools: Claude Code, Cursor, Codex, or equivalent used as a daily part of your own engineering practice. Deep curiosity about how AI is reshaping software engineering ...