1 to 25 of 37 pydantic Jobs in England

/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 ❯

/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 ❯

augments human capabilities and improves lives. Proficiency in Python and experience with the full data science and machine learning stack (Pandas, NumPy, PyTorch, Langchain, Pydantic). Strong software engineering skills with a focus on building robust, productionready systems and understanding of deploying and monitoring such systems in a cloud environment. More ❯

good understanding of state-of-the-art regression and probabilistic models. Technical Skills: You're proficient in Python (pandas, scikit-learn, fastAPI/flask, pydantic, DVC) and SQL. You also have a strong knowledge of systems design, including serverless and event-driven microservice architecture. Engineering Excellence: You're passionate about More ❯

augments human capabilities and improves lives. • Proficiency in Python and experience with the full data science and machine learning stack (Pandas, NumPy, PyTorch, Langchain, Pydantic). • Strong software engineering skills with a focus on building robust, productionready systems and understanding of deploying and monitoring such systems in a cloud environment. 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 ❯

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 in AI research, applied machine learning, and NLP . Experience with LLM model adaptation, fine-tuning, and inference optimization . Proficiency in Python, Pydantic, FastAPI, and working with LLM APIs (OpenAI, Anthropic, Mistral, etc.) . Understanding of retrieval-augmented generation (RAG), vector databases, embeddings, and structured AI retrieval . More ❯

abstraction, and crafting developer-friendly APIs is highly valued. Strong skills in modern python development (co-routines, functional programming, typing, structured data modeling (e.g., Pydantic), and clean interface design). Strong understanding of cloud infrastructure and MLOps practices. A pragmatic, product-minded approach to building AI systems that solve real 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 ❯