26 to 48 of 48 pydantic Jobs in the UK

Degree in Comp Sci or STEM subject from a Top ranked University 1 - 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data ...

build and trust agents without rebuilding the basics. Team impact: You make your squad, and the teams around it, better. Bonus points: AI engineering: Pydantic AI, LiteLLM, LangChain, MCP servers Knowledge and retrieval: RAG, search, embeddings, knowledge graphs Evals and safety: Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails, red teaming ...

experience building LLM‐powered systems in production, including agents, RAG pipelines, MCPs, tool‐use and multi‐step workflows. Familiarity with frameworks such as LangGraph, Pydantic AI or similar. Strong Python engineering skills and ability to produce clean, testable, production‐quality code. Experience with context engineering: retrieval strategies, prompt construction, information ...

multi-step reasoning, evals, guardrails. Customer-facing experience preferred. Wealth, fintech or another regulated industry is a strong plus. Stack and tools Python (FastAPI, Pydantic, async stack), Azure (App Services, Functions, AI Foundry, Key Vault, Entra ID, Private VNet), Postgres, OpenAI and Anthropic models, evaluation frameworks for agentic systems, Microsoft ...

Strong STEM degree or equivalent professional experience Desirable skills: Deep knowledge of Python, including any of the frameworks we currently use: Flask, SqlAlchemy, Alembic, Pydantic Experience with relational databases, ideally Postgres Experience of message-based architectures, and queuing technologies, i.e. RabbitMQ Experience of REST and/or GraphQL APIs Knowledge ...

Snowflake via Snowpipe; batch and third-party data lands through Snowpark-deployed Python procedures. All infrastructure is defined in Terraform/Terragrunt. Python (Poetry, Pydantic, pytest) is our pipeline language; GitHub Actions runs CI/CD. Datadog gives us end-to-end pipeline observability. Key Responsibilities Event Pipeline Ownership: Build ...

software team, using Git for version control and modern development practices to ensure robust, scalable systems. The role emphasizes Python development, FastAPI and Pydantic libraries, cloud deployment, and Docker usage within a hybrid London-based setup. #J-18808-Ljbffr ...

have, but teachable on the job Some experience or interest in ML Experience with Rust, Axum, Tokio, SQLx, or PyO3 Experience with FastAPI, Pydantic, SQLAlchemy, Alembic, pytest, mypy, or Ruff Familiarity with Postgres, Redis, event-driven systems, queues, or streaming architectures Experience with OpenTelemetry, Prometheus, Grafana, Loki, Tempo, or structured ...

cost efficiency. The role focuses on building scalable AI pipelines, working with AWS, CI/CD, and modern tooling such as FastAPI and Pydantic, while offering potential growth into senior/lead responsibilities. #J-18808-Ljbffr ...

business Knowledge of FCA compliance/Financial Services/regulated environment preferred Highly motivated to learn about Fundment’s products Technical Expertise: Python: FastAPI, Pydantic, SQLAlchemy, PyTest, Pandas, Numpy Cloud: Experience supporting production systems Security & Compliance: Familiar with secure coding and regulated environments Values Collaborative – Deliver as a team, communicate ...

include Dane Knecht (Cloudflare CTO), Lord Ara Darzi, and the Head of Microsoft AI Health. Tech stack: Python, Railway, AWS, Prefect, LakeFS, LLMs with Pydantic AI and evals. What You’ll Work On You’d be our first FDE so you will: Create our FDE playbook Work closely with clients ...

Job Overview Role: AI Full Stack Engineer (AI & ML Engineer) Location: Fenchurch Street, London Duration: Oct 12, 2026 - Dec 15, 2026 (9 Weeks, 2 Days) Hours: 40 hours/week Rate: 291 PAYE/388 ...

quality healthcare data Continuously improve internal AI tooling and platform to unlock new use cases and increase team velocity Our current tech stack: FastAPI · Pydantic · TypeScript · React · OpenAI/Anthropic · Temporal · PostgreSQL · Honeycomb · PlanetScale · Azure You'll Be A Great Fit If... You have 3+ years of professional full-stack ...

governance solutions supporting enterprise data, risk and regulatory requirements. Key responsibilities Design and maintain enterprise data and metadata models. Develop Python solutions using Pydantic and FastAPI . Configure and enhance Collibra asset models and governance workflows. Build reusable automation, validation and integration components. Work with REST APIs, JSON, YAML … development tools such as GitHub Copilot, ChatGPT or Claude responsibly. What were looking for Strong senior-level Python development experience. Hands-on experience with Pydantic for data modelling, validation and schema design. Experience with FastAPI, REST APIs, JSON, YAML and SQL . Strong understanding of data modelling, metadata, data governance ...

governance solutions supporting enterprise data, risk and regulatory requirements. Key responsibilities Design and maintain enterprise data and metadata models. Develop Python solutions using Pydantic and FastAPI . Configure and enhance Collibra asset models and governance workflows. Build reusable automation, validation and integration components. Work with REST APIs, JSON, YAML … tools such as GitHub Copilot, ChatGPT or Claude responsibly. What we're looking for Strong senior-level Python development experience. Hands-on experience with Pydantic for data modelling, validation and schema design. Experience with FastAPI, REST APIs, JSON, YAML and SQL . Strong understanding of data modelling, metadata, data governance ...

Snowflake. You will build ingestion paths, manage schema changes, and contribute to production reliability. You'll work with Terraform/Terragrunt, Python (Poetry, Pydantic), dbt, and Datadog monitors. Collaboration with engineers and analytics teams is essential to deliver audit-ready, high-quality data. #J-18808-Ljbffr ...

development experience, including async programming, typing, testing and performance optimisation. Proven delivery of Generative AI and RAG solutions into production. Hands‐on experience with Pydantic, LangGraph, Semantic Kernel/Microsoft Agent Framework or similar. Strong understanding of LLM integration, structured outputs, tool calling, prompt/model management and fallback strategies. … observability. Strong troubleshooting skills across application, retrieval, model, concurrency and performance issues. Desirable Azure OpenAI/Azure AI Search/Azure AI Foundry Pydantic AI, LangGraph or Semantic Kernel RAG/LLM evaluation and retrieval-quality metrics Kubernetes, telemetry and load testing Knowledge graphs, temporal retrieval or document linkage ...

developing production-grade Python applications and services. Advanced Python skills, including asynchronous programming, type annotations, modular design and performance optimisation. Hands-on experience with Pydantic, LangGraph, MS Agent Framework/Semantic Kernel or similar AI orchestration frameworks. Demonstrable experience delivering Generative AI and RAG solutions beyond proof of concept. Strong … distributed services, Git, CI/CD, containers and production observability. Technical Skillset: Azure OpenAI, Azure AI Search or equivalent AI and enterprise search platforms. Pydantic AI, LangGraph, Semantic Kernel or similar orchestration frameworks. LLM and RAG evaluation approaches, with Azure Foundry or ML Studio preferred. Docker, Kubernetes, telemetry and load ...

need to have passion for owning systems end to end and grow your DevSecOps skills as well. Team's tech stack Backend: Python (FastAPI, Pydantic) Frontend: React, TypeScript Data: DynamoDB, Postgres Cloud: AWS serverless (Lambda, API Gateway) AI: LLM orchestration, tool-use frameworks, streaming execution Requirements Strong engineering fundamentals with … similar cloud providers. Nice But Not Required Experience building chat or conversational UIs, real-time/streaming interfaces, or data visualization. FastAPI and Pydantic experience. DynamoDB or Postgres, SQLAlchemy. Exposure to LLM application development, agent frameworks, MCP, or building developer tools. Prior ops or on-call experience. Experience with distributed ...

concerns, composition over inheritance) to keep orchestration code maintainable as complexity grows. Define clear, strongly-typed data contracts between pipeline stages (e.g. using Pydantic or similar), favoring lightweight references/pointers over passing large payloads through the orchestration layer. Design retry, checkpoint, and resume logic so long-running jobs … with asynchronous programming (e.g. Python asyncio) for coordinating external process execution and I/O-bound work. Experience designing data models/schemas (e.g. Pydantic, dataclasses, or equivalent) and using type checking to prevent integration errors. Solid understanding of error handling and failure-mode design: retries, idempotency, graceful degradation. Familiarity ...

functional, and procedural programming paradigms. Participate in the development and maintenance of backend APIs and data engineering pipelines, utilising relevant Python libraries (e.g. FastAPI, Pydantic). Support cloud deployment of applications, demonstrating a solid understanding of deployment principles and cloud environments. Utilise Docker at an intermediate level, including … functional, procedural) Good understanding of cloud deployment Proficiency with Git Intermediate Python, including relevant libraries for data engineering and backend API development (i.e., FastAPI, Pydantic, etc) Intermediate Docker, basic understanding of Docker storage and Volumes, Linux permissions Effective communication skills through written reports and presentations Effective organisational skills e.g. planning ...

Build responsive React (TypeScript) frontends (state mgmt, data viz, virtualized tables, forms, charts, file uploads, accessibility). Implement FastAPI services (async I/O, Pydantic v2, background jobs, caching) with robust testing. Design Elasticsearch models & queries Integrate AI features (streaming responses, structured outputs, eval hooks) to accelerate prototyping and user … drivers for rapid prototyping and refactors. React + TypeScript mastery: component design, hooks, performance, testing (Vitest/Jest, Playwright). FastAPI expertise: async patterns, Pydantic schemas, pagination, auth (OAuth2/OIDC), rate‐limits, background jobs. Elasticsearch fluency: mappings/analyzers (ngrams, synonyms), aggregations, filters, sorting, performance tuning. Cloud & DevOps : solid ...

An exciting opportunity for a driven Network DevOps Engineer to join MBDA's multi-national Digital Excellence function. Ideal candidates should be passionate about modernising network management, driving automation initiatives and upskilling others. You will ...