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 for HTTP client operations and external API integration * Authentication/ More ❯
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 for HTTP client operations and external API integration * Authentication/ More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
McGregor Boyall
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 a technical lead in More ❯
and object detection 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 More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
McGregor Boyall
and object detection 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 More ❯
Participate in our on-call rotation, responding swiftly to production issues. Drive continuous improvement in automation, monitoring, and deployment processes. What we're looking for Experience with AWS services (ECS, S3, RDS, Lambda, CloudFront, etc.). Skilled in monitoring tools such as DataDog , CloudWatch , and Grafana. Familiarity with Docker , ECS , Kubernetes , or similar containerisation tech. Competence in scripting More ❯
with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM 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. … for MLOps tools and practices Proficiency with version 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 More ❯
