1 to 25 of 45 pydantic Jobs

that you also get a taste of our tech stack! Requirements This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, httpx, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers More ❯

/Jupyter notebooks OpenTelemetry Git/Github Github actions Docker Microservices and/or lambdas Postgresql Streamlit Desirable skills include: The Fast API ecosystem (Pydantic, SQLAlchemy, Alembic) AWS – including certification – especially Lambdas Terrraform Kubernetes Any ML/Gen AI tooling such as Langchain, Langsmith, ML Flow, Dataiku, Data Robot, Sage More ❯

related field. 10+ years of overall experience in AI, machine learning, and productionizing AI solutions. Expertise in Python and key libraries (e.g., NumPy, SciPy, Pydantic, Asyncio). Hands-on experience with open-source libraries (e.g. LangChain, Ray, PyTorch, Lightning). Hands-on experience with machine learning techniques, including Reinforcement Learning. More ❯

Engineer to play a pivotal role in shaping our technological landscape. Key Responsibilities: Backend System Enhancement : Develop robust APIs and services using Python (FastAPI, Pydantic) to integrate with our advanced AI systems. Infrastructure Development : Design and optimize cloud-based infrastructures that support our AI platform and automation services. AI Workload More ❯

with cutting-edge tech to build and optimise high-performance systems. Key Responsibilities Backend Development: Build and refine APIs and services using Python (FastAPI, Pydantic). Scalable Infrastructure: Design, implement, and optimise cloud-based solutions for AI workloads. AI Workload Optimisation: Architect and scale compute infrastructure for inference, batch processing More ❯

non-technical audience. Independent and self-driven learner, able to step outside of their area of expertise. Python; we work with asyncio, SQLAlchemy, FastAPI, Pydantic, NumPy, Pandas. SQL; performance tuning, schema design, monitoring in production, we mainly work with PostgreSQL. Cloud (AWS) deployments and monitoring, basic networking and security best More ❯

Experience with databases and AWS or similar cloud providers. Proficient in RESTful API development and management. Ideal, But Not Required DynamoDB/Postgres/Pydantic/AWS Lambda/SQLAlchemy. Experience with frontend development (e.g., React or similar frameworks). Our Offer Work with colleagues that lift you up, challenge More ❯

environment requiring clear and effective communication. Strong engineering fundamentals with a passion for simplicity and precision. Ideal, But Not Required DynamoDB/Postgres/Pydantic/AWS Lambda/SQLAlchemy. Experience with frontend development (e.g., React or similar frameworks). Required Experience Prior industry experience with Python backend. At least More ❯

just being able to write basic scripts) LANGUAGES/FRAMEWORKS JSON YAML Python (as a programming language, not just able to write basic scripts) Pydantic experience DESIRABLE SQL PySpark Delta Lake Bash (both CLI usage and scripting) Git Markdown Scala DESIRABLE Azure SQL Server as a HIVE Metastore DESIRABLE TECHNOLOGIES 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 ❯

for data orchestration. Clinical Data Security : Understanding of protocols and standards related to securing clinical data. Python Proficiency : Strong skills in Python (3.x), FastAPI, Pydantic, and Pytest. SQL and Relational Databases : Knowledge of SQL, relational schema design, and PostgreSQL. CI/CD and Containers : Familiarity with CI/CD practices More ❯

Agile environment (SAFE, scrum, sprints, JIRA etc) Languages/Frameworks - JSON - YAML - Python (as a programming language, not just able to write basic scripts. Pydantic experience would be a bonus.) - SQL - PySpark - Delta Lake - Bash (both CLI usage and scripting) - Git - Markdown - Scala (bonus, not compulsory) - Azure SQL Server as More ❯

Data Factory for data orchestration.Clinical Data Security: Understanding of protocols and standards related to securing clinical data.Python Proficiency: Strong skills in Python (3.x), FastAPI, Pydantic, and Pytest.SQL and Relational Databases: Knowledge of SQL, relational schema design, and PostgreSQL.CI/CD and Containers: Familiarity with CI/CD practices and container More ❯

for data orchestration. Clinical Data Security: Understanding of protocols and standards related to securing clinical data. Python Proficiency: Strong skills in Python (3.x), FastAPI, Pydantic, and Pytest. SQL and Relational Databases: Knowledge of SQL, relational schema design, and PostgreSQL. CI/CD and Containers: Familiarity with CI/CD practices More ❯

background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in any or all of the following would be advantageous - ICAAP/ILAAP, risk appetite/limiting, stress testing, capital management More ❯

background, particularly familiarity with pandas/polars/pyspark, pytest; understanding of OOP principles; git version control; knowledge of the following frameworks a plus: pydantic, pandera, sphinx Additionally, experience in any or all of the following would be advantageous - ICAAP/ILAAP, risk appetite/limiting, stress testing, capital management 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯