23 of 23 Remote pydantic Jobs

in a regulated environment with sensitive data. You’ll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you’ll do Research, prototype, and deploy LLM use cases (Q&A More ❯

or a relevant discipline. 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications. Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition. Proven skills in asynchronous and parallel programming with practical experience using asyncio. Experience working in Agile environments and applying core design patterns. Demonstrated proficiency More ❯

or a relevant discipline. 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications. Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition. Proven skills in asynchronous and parallel programming with practical experience using asyncio. Experience working in Agile environments and applying core design patterns. Demonstrated proficiency More ❯

or a relevant discipline. 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications. Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition. Proven skills in asynchronous and parallel programming with practical experience using asyncio. Experience working in Agile environments and applying core design patterns. Demonstrated proficiency More ❯

or a relevant discipline. 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications. Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition. Proven skills in asynchronous and parallel programming with practical experience using asyncio. Experience working in Agile environments and applying core design patterns. Demonstrated proficiency More ❯

or a relevant discipline. 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications. Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition. Proven skills in asynchronous and parallel programming with practical experience using asyncio. Experience working in Agile environments and applying core design patterns. Demonstrated proficiency More ❯

or a relevant discipline. 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications. Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition. Proven skills in asynchronous and parallel programming with practical experience using asyncio. Experience working in Agile environments and applying core design patterns. Demonstrated proficiency More ❯

or a relevant discipline. 5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications. Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition. Proven skills in asynchronous and parallel programming with practical experience using asyncio. Experience working in Agile environments and applying core design patterns. Demonstrated proficiency More ❯

5+ years of experience, ideally working in high-growth start-up or scale-up environments Strong skills with Python & Fast API Cloud experience, ideally with AWS Proficiency with LLMs, Pydantic, LangChain/LangGraph or similar orchestration tools Computer Science/STEM background from a top ranked University Base salary of £80k-£110k Exceptional equity and benefits package Hybrid working, with More ❯

5+ years of experience, ideally working in high-growth start-up or scale-up environments Strong skills with Python & Fast API Cloud experience, ideally with AWS Proficiency with LLMs, Pydantic, LangChain/LangGraph or similar orchestration tools Computer Science/STEM background from a top ranked University Base salary of £80k-£110k Exceptional equity and benefits package Hybrid working, with More ❯

5+ years of experience, ideally working in high-growth start-up or scale-up environments Strong skills with Python & Fast API Cloud experience, ideally with AWS Proficiency with LLMs, Pydantic, LangChain/LangGraph or similar orchestration tools Computer Science/STEM background from a top ranked University Base salary of £80k-£110k Exceptional equity and benefits package Hybrid working, with More ❯

minds from Cambridge, MIT, and Google across Software Engineering, Data Science, Theoretical Physics, and Computational Geometry. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python More ❯

real-world engineering not just building software, but helping change how things are designed and built. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python More ❯

real-world engineering not just building software, but helping change how things are designed and built. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python More ❯

real-world engineering not just building software, but helping change how things are designed and built. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python More ❯

real-world engineering not just building software, but helping change how things are designed and built. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python More ❯

real-world engineering not just building software, but helping change how things are designed and built. Opportunities: Frontend or Backend Tech Stack within the engineering environment: Backend: Python, FastAPI, Pydantic, PostgreSQL, Docker Frontend: React, TypeScript, Vite Infrastructure: GitHub Actions, GCP, Kubernetes (optional) Paradigms: Functional programming, async APIs, event-driven architecture Responsibilities Build and maintain backend services using FastAPI and Python More ❯

one backend stack in using Python, Ruby, Node or Go (we use a mix of Python and Ruby*). *Familiarity with related tools and frameworks such as Rails, FastAPI, Pydantic, etc. * Proficiency in modern front-end frameworks, such as Vue and React (we use Vue) * Solid understanding of AWS (ECS, S3, CloudFront, Lambda, RDS/DynamoDB, Cognito, etc.). * Experience More ❯

automation and CI/CD 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 of the core AWS services More ❯

automation and CI/CD 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 of the core AWS services More ❯

automation and CI/CD 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 of the core AWS services More ❯

automation and CI/CD 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 of the core AWS services More ❯

automation and CI/CD 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 of the core AWS services More ❯