24 of 24 SQLAlchemy Jobs in the UK excluding London

for efficient data processing and model optimization - Error handling and debugging using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data manipulation, cleaning, and numerical operations - SQLAlchemy or psycopg2 for database connectivity and ORM operations - Boto3 for AWS service integration and automation - Lambda function development with proper event handling and response formatting - S3 operations including multipart uploads More ❯

for efficient data processing and model optimization - Error handling and debugging using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data manipulation, cleaning, and numerical operations - SQLAlchemy or psycopg2 for database connectivity and ORM operations - Boto3 for AWS service integration and automation - Lambda function development with proper event handling and response formatting - S3 operations including multipart uploads More ❯

for efficient data processing and model optimization - Error handling and debugging using try-catch blocks, logging, and debugging tools - Pandas and NumPy for data manipulation, cleaning, and numerical operations - SQLAlchemy or psycopg2 for database connectivity and ORM operations - Boto3 for AWS service integration and automation - Lambda function development with proper event handling and response formatting - S3 operations including multipart uploads More ❯

business success. Key Responsibilities: Design, develop, and maintain efficient and reliable back-end systems using Python and SQL . Utilize frameworks such as Django , Flask , FastAPI , Asyncio , Aiohttp , and SQLAlchemy to build scalable web applications. Develop and maintain RESTful APIs , WebSocket , and GraphQL services, ensuring comprehensive documentation with Swagger/OpenAPI . Manage and optimize databases, specifically PostgreSQL , NATS , Redis … experience as a Senior Back-End Developer or similar role. Strong proficiency in Python and SQL . Extensive experience with frameworks and libraries: Django , Flask , FastAPI , Asyncio , Aiohttp , and SQLAlchemy . Demonstrated experience in developing and managing RESTful APIs , WebSocket , and GraphQL services. Solid understanding of database management, including PostgreSQL , NATS , Redis , and Min.IO . Hands-on experience with Microsoft More ❯

data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): * Lambda function development with proper event handling and More ❯

data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead's architecture): * Lambda function development with proper event handling and More ❯

Build and expand backend applications using Python (FastAPI) Design and implement microservices and REST APIs Write clear documentation, unit tests, and end-to-end tests Work with AWS, Docker, SQLAlchemy, and SQL databases Deploy features via CI/CD workflows into production Contribute to architecture for local and cloud deployment What we’re looking for: Strong skills in Python (3.11+ More ❯

Build and expand backend applications using Python (FastAPI) Design and implement microservices and REST APIs Write clear documentation, unit tests, and end-to-end tests Work with AWS, Docker, SQLAlchemy, and SQL databases Deploy features via CI/CD workflows into production Contribute to architecture for local and cloud deployment What we’re looking for: Strong skills in Python (3.11+ More ❯

Build and expand backend applications using Python (FastAPI) Design and implement microservices and REST APIs Write clear documentation, unit tests, and end-to-end tests Work with AWS, Docker, SQLAlchemy, and SQL databases Deploy features via CI/CD workflows into production Contribute to architecture for local and cloud deployment What we’re looking for: Strong skills in Python (3.11+ More ❯

Requirements: 5+ years of experience writing Backend applications using Python and Django (Rest Framework)or related frameworks, e.g. Flask, FastAPI or similar Good understanding of ORM (either Django or SQLAlchemy) Good understanding of Python Unit Testing frameworks and TDD practices Experience working with Cloud Infrastructure (ideally AWS) Good understanding of Git, and CI/CD Nice-to-haves: Deeper understanding More ❯

LLMs, and frameworks such as Transformers (Hugging Face), PyTorch, OpenCV, YOLO. Programming: Strong Python (3.9+) skills, including OOP, async patterns, data structures, debugging. Data Processing: Proficient with Pandas, NumPy, SQLAlchemy/psycopg2, AWS Boto3. Cloud & Infrastructure: Hands-on AWS (Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS/Kubernetes). API Development: FastAPI, REST API design, external integrations, authentication More ❯

OCR, Object Detection, LLMs Libraries: Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS API development: FastAPI, Requests, JWT/OAuth Development Practices Agile methodologies (Scrum/Kanban), XP techniques (TDD, pair More ❯

solutions. Essential Experience & Skills 5+ years' engineering experience, with at least 3 years in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.). Experience More ❯

Requirements: 5+ years of experience writing Backend applications using Python and Django (Rest Framework) or related frameworks, e.g. Flask, FastAPI or similar Good understanding of ORM (either Django or SQLAlchemy) Good understanding of Python Unit Testing frameworks and TDD practices Experience working with Cloud Infrastructure (ideally AWS) Good understanding of Git, and CI/CD Nice-to-haves: Deeper understanding More ❯

OCR, Object Detection, LLMs Libraries: Transformers/Hugging Face, PyTorch, OpenCV, PIL/Pillow, YOLO Python 3.9+ with OOP, async/await, and debugging techniques Data tools: Pandas, NumPy, SQLAlchemy/psycopg2 AWS: Lambda, S3, CloudWatch, IAM, CDK, SQS, EKS/ECS API development: FastAPI, Requests, JWT/OAuthDevelopment Practices Agile methodologies (Scrum/Kanban), XP techniques (TDD, pair programming More ❯

Hugging Face Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real-time model inference, edge deployments, and API integrations Working closely with a technical lead in a service-based and serverless architecture Essential Python Engineer skills and More ❯

needs Take technical ownership of areas of product Requirements: 5+ years of experience writing Backend applications using Python and Django (Rest Framework) Good understanding of ORM (either Django or SQLAlchemy) Good understanding of Python Unit Testing frameworks and TDD practices Experience working with Cloud Infrastructure (ideally AWS) Good understanding of Git, and CI/CD Nice-to-haves: Deeper understanding More ❯

and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy, Boto3, Pandas, and Airflow . Contribute to real-time AI services , model versioning, and advanced fine-tuning (LoRA, QLoRA, etc.). Qualifications Solid Python skills (3.9+) with deep knowledge of More ❯

and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS/ECS), CDK , and modern DevOps practices. Collaborate on infrastructure and data pipelines using SQLAlchemy, Boto3, Pandas, and Airflow . Contribute to real-time AI services , model versioning, and advanced fine-tuning (LoRA, QLoRA, etc.). AI Engineer requirements: Solid Python skills (3.9+) with deep More ❯

needs Take technical ownership of areas of product Requirements: 5+ years of experience writing Backend applications using Python and Django (Rest Framework) Good understanding of ORM (either Django or SQLAlchemy) Good understanding of Python Unit Testing frameworks and TDD practices Experience working with Cloud Infrastructure (ideally AWS) Good understanding of Git, and CI/CD Nice-to-haves: Deeper understanding More ❯

Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data structures , schemas More ❯

Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data structures , schemas More ❯

Detection and LLM analysis implementation LLM fine tuning Machine Learning & AI Libraries including: Transformers/Hugging Face Python expertise with an understanding of object-oriented programming Pandas, PyTorch, Numpy SQLAlchemy, Boto3 AWS - Lambda, S3, CDK API Development Design and implementation of AI/ML solutions Excellent communicator Strong stakeholder management Keen collaborator The above is not exhaustive. For further information More ❯

providingactionableinsights,andsupportinginnovationinadata-firstenvironment. KeyResponsibilities: Conductdetailedtechnicalanalysisofstructuredandunstructureddatatoassessstructure,quality,andusability. Translatecomplexbusinessrequirementsintorobustdatasolutionsandmodellingframeworks. Collaboratewithinternalstakeholdersandclientstogatherrequirementsanddeliverhigh-impactdatainsights. Ownandmaintainbusinessandtechnicaldocumentation,ensuringclarityacrossthedeliverylifecycle. DriveAgilewaysofworking-contributingtobacklogrefinement,definingoutcomes,andsupportinguseracceptancetesting. Supportdeliveryofdataproductsthroughcollaborativeworkwithengineeringandarchitectureteams. EssentialExperience&Skills: ProvenbackgroundinDataAnalysis,withapprox.4+yearsinaseniororequivalentrole. Strongexperiencein SQL (writingandoptimisingcomplexqueries). Proficiencyin Python (includinglibrarieslikePandas,NumPy,SQLAlchemy). Experienceworkingwith largedatasets ,andadvanceddatamodellingtechniques. Abilitytoengagewithstakeholdersandtranslatetheirneedsintoactionabledatasolutions. Solidunderstandingof datastructures , schemas ,and normalisation principles. Skilledincreatingimpactful datavisualisations anddashboards. Familiaritywith dataqualityandgovernanceprinciples . Desirable(ortrainable)Experience: Toolssuchas PowerBI , Alteryx , AzureSynapse ,or AzureFabric . Datamodellingmethodologiessuchas 3NF , Kimball More ❯