platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with … control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation and CDK for infrastructure configuration Our web products are developed using TypeScript, React, and Redux We implement GraphQL and RESTful APIs using NodeJS and Python Our backend services are implemented in More ❯
Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Venesky Brown
with non-functional requirements, such as accessibility, security, UI/UX, performance, maintainability, deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques … 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, presigned URLs, and event notifications - CloudWatch logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP More ❯
paisley, central scotland, united kingdom Hybrid / WFH Options
Venesky Brown
with non-functional requirements, such as accessibility, security, UI/UX, performance, maintainability, deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques … 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, presigned URLs, and event notifications - CloudWatch logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP More ❯
milton, central scotland, united kingdom Hybrid / WFH Options
Venesky Brown
with non-functional requirements, such as accessibility, security, UI/UX, performance, maintainability, deployability, etc... - Troubleshoot development and production problems across multiple environments and operating platforms, from the AWS-based modern stack to the multiple strands of ETL and database (legacy and otherwise) that underpins the service. - Routinely use collaborative development practices such as pairing and mobbing techniques … 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, presigned URLs, and event notifications - CloudWatch logging and metrics for monitoring and debugging - Understanding of IAM and security for role-based access and credential management - Experience with CDK for infrastructure deployment - SQS for message queuing - EKS/ECS/Kubernetes for containerized AI deployments - FastAPI for building REST APIs and model serving endpoints - Requests library for HTTP More ❯
Ensure high-quality, maintainable, and accessible software through testing, code quality tools, and best practices. Maintain and improve monitoring, dashboards, deployment, and support procedures. Troubleshoot issues across modern AWS-based systems and legacy ETL/database platforms. Contribute to team practices through pairing, mobbing, code reviews, and process improvement. Share knowledge across wider communities of practice. Mentor and … 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 (JWT/OAuth). Software Engineering: Building production AI/ML systems, collaborative More ❯
and deployment processes. Drive R&D for innovative automation solutions. Ensure code quality, testing, and compliance with non-functional requirements (security, performance, accessibility). Troubleshoot issues across modern AWS stacks and legacy systems. Apply collaborative practices (pairing, mobbing, code reviews) and actively engage in team events and wider communities of practice. Essential Skills & Experience Commercial experience with AI … 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 response formatting S3 operations including … multipart uploads, presigned URLs, and event notifications CloudWatch logging and metrics for monitoring and debugging Understanding of IAM and security for role-based access and credential management Experience with CDK for infrastructure deployment SQS for message queuing EKS/ECS/Kubernetes for containerized AI deployments API Development FastAPI for building REST APIs and model serving endpoints Requests library More ❯
you'll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows.You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You … 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 response formatting * S3 operations including … multipart uploads, presigned URLs, and event notifications * CloudWatch logging and metrics for monitoring and debugging * Understanding of IAM and security for role-based access and credential management * Experience with CDK for infrastructure deployment * SQS for message queuing * EKS/ECS/Kubernetes for containerised AI deployments API Development : * FastAPI for building REST APIs and model serving endpoints * Requests library More ❯
ll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows. You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams is key to ensuring seamless integration with existing digital services. What You … 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 response formatting * S3 operations including … multipart uploads, presigned URLs, and event notifications * CloudWatch logging and metrics for monitoring and debugging * Understanding of IAM and security for role-based access and credential management * Experience with CDK for infrastructure deployment * SQS for message queuing * EKS/ECS/Kubernetes for containerised AI deployments API Development : * FastAPI for building REST APIs and model serving endpoints * Requests library More ❯
in real-world applications. Design and optimize APIs using FastAPI 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 More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
McGregor Boyall
in real-world applications. Design and optimize APIs using FastAPI 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 More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
McGregor Boyall
extensions highly likely) £480-£520 per day Outside ir35 Remote contract We're looking for an experienced Python Engineer with a strong understanding of AI/ML/AWS, and commercial expertise in deploying AI systems using state-of-the-art machine learning libraries, cloud infrastructure, and modern Python-based tooling. What You'll Be Working On: Building … production-grade AI systems using LLMs , Object Detection , and OCR Leveraging frameworks like 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 … async/await, and debugging Proven experience building and deploying AI/ML systems in the cloud ( AWS ) Solid grasp of CI/CD , infrastructure as code (CDK) , and Agile methodologies Familiarity with TDD , pair programming, and modern development practices Desirable: Advanced fine-tuning techniques (LoRA, QLoRA) RLHF, multi-modal AI, or edge deployment experience ML experiment More ❯
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 on this opportunity please More ❯
