12 of 12 pydantic Jobs in Berkshire

potential, and if you can apply properly, you’ve got an interview Knowledge of modern/larger-scale Python Experience in the FastAPI, Starlette, Pydantic suite (or similar) in Production Experience in at least one statically typed OOP language (Java/C++ etc) Some knowledge of Functional Programming (e.g. ML More ❯

5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python 3, including pandas, GeoPandas, boto3, Pydantic, and Data Version Control (DVC). Familiar with Django 4 and core API development. Strong hands-on experience with AWS cloud infrastructure, EKS, and Docker. More ❯

5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python 3, including pandas, GeoPandas, boto3, Pydantic, and Data Version Control (DVC). Familiar with Django 4 and core API development. Strong hands-on experience with AWS cloud infrastructure, EKS, and Docker. More ❯

decisions in a product-driven environment. Strong expertise in AI/ML technologies , including experience with modern AI frameworks and LLM integration (OpenAI, Anthropic, Pydantic-AI, LangGraph, LangChain), and deployment of production AI systems. Proficiency in back-end development with Python and Laravel based systems. Experience with RESTful APIs, database More ❯

global community-driven product Our Tech Stack: Frontend: Flutter (iOS, Android, Web) Backend: FastAPI, Python Database: PostgreSQL Auth: AWS Cognito Infra: Redis, Alembic, SQLAlchemy, Pydantic, Pytest AI: OpenAI API integrations Feed: Multi-factor ranking system for personalised content You’re a Great Fit If You: Have 10+ years of experience More ❯

skills and a bias toward action. Technologies You’ll Work With Experience in some or most of the following: Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools) AI: AgenticFlows, GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred) Datastores More ❯

skills and a bias toward action. Technologies You’ll Work With Experience in some or most of the following: Languages/Frameworks: Python, FastAPI, Pydantic, Streamlit (for internal tools) AI: AgenticFlows, GenAI, LLMs, and multimodal systems Architecture: Microservices, RESTful APIs, async programming Infrastructure: Docker, Terraform, GitHub Actions, GCP (preferred) Datastores More ❯

Senior Python Product Engineer Company: A profitable Startup in the Proptech industry of circa 20 heads Tech Stack: Python, FastAPI, Django Pydantic, Dataclasses, AWS, AI tools Location: City of London – 3 office days per week Salary: £70,000 - £95,000 + benefits They are looking for multiple engineers. What you More ❯

with other financial systems Ensure scalability, security, and maintainability across the stack 🛠️ Tech Stack: Frontend : React, TypeScript, Next.js/Angular Backend : Python, FastAPI, SQLAlchemy, Pydantic, Alembic Infrastructure : Azure, Kafka, SQL (PostgreSQL, MSSQL), Docker Testing & Quality : Pytest, Mypy, Ruff, Poetry ✅ Ideal Candidate: 0.5 to 3 years of relevant experience or research More ❯

with other financial systems Ensure scalability, security, and maintainability across the stack 🛠️ Tech Stack: Frontend : React, TypeScript, Next.js/Angular Backend : Python, FastAPI, SQLAlchemy, Pydantic, Alembic Infrastructure : Azure, Kafka, SQL (PostgreSQL, MSSQL), Docker Testing & Quality : Pytest, Mypy, Ruff, Poetry ✅ Ideal Candidate: 0.5 to 3 years of relevant experience or research More ❯

role is based in London (Victoria), with hybrid working: three days in the office and two from home. Responsibilities: Python backend development using FastAPI, Pydantic, and related frameworks JavaScript (React) frontend development based on FIGMA designs KAFKA integration for building event-driven architectures Database development using CosmosDB and MongoDB Rapid More ❯

or software engineering roles • Bachelor’s degree or equivalent in Computer Science, Data Science, or related technical field • Strong Python programming (especially pandas, GeoPandas, Pydantic, boto3) • Experience with geospatial data and data engineering for ML applications • Cloud proficiency (preferably AWS) and experience with containerized environments (Docker, EKS) • Solid Git practices … with cross-functional teams • Experience working with financial services or asset management domains preferred Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git hosting, ticket More ❯