RESTful APIs, microservices, and secure API design Familiarity with DevOps tools and CI/CD pipelines (e.g. Jenkins, Maven, Docker, Kubernetes, Terraform) Experience with cloud platforms (Azure, GCP, or AWS preferred) Strong understanding of software security principles and modern secure development practices Knowledge of automated testing frameworks (e.g. Jest, Testing Library, Cypress, Cucumber) Familiarity with tools like npm, Webpack, and More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
VANLOQ LIMITED
impact systems within a secure, high-availability environment, supporting the development of services hosted on Public Cloud platforms. Youll bring strong software engineering expertise, coupled with DevOps proficiency across AWS and GCP, to design and implement resilient frontend clients, backend services, infrastructure automation, and cloud-native solutions. Key Responsibilities Design, develop and maintain secure, performant backend REST API services and … using Liquibase, ensuring compliance with audit and regulatory standards. Build and maintain CI/CD pipelines in collaboration with DevOps and Security teams. Manage and optimise cloud infrastructure across AWS and GCP, ensuring resilience, cost efficiency, and security. Collaborate with infrastructure, architecture, and cybersecurity teams to meet compliance and governance requirements. Support live systems, conduct root cause analysis, and deliver … Masters in Computer Science or equivalent experience. 5+ years in software engineering with experience in large-scale distributed systems. Proficient in Python and GoLang. Strong background in cloud technologies (AWS and/or GCP), networking, IAM, and cost optimisation. Hands-on experience with DevOps practices, including IaC (Terraform), CI/CD (Jenkins, GitLab CI), and containerisation. Strong understanding of security More ❯
solutions tailored for cloud environments and aligned to industry-standard cybersecurity frameworks such as NCSC CAF/NIST/CIS. This includes proficiency in securing cloud platforms such as AWS, Azure, understanding cloud-native security services, and expertise in configuring security groups, IAM policies, and network access controls. In depth experience and understanding of DevSecOps principles, emphasising the integration of More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
McGregor Boyall
more. Work with LLMs, image analysis, 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 servicesMore ❯
Job Description Our global client are looking to onboard 2 x AWS Developers with prior experience working with Amazon Q. You will be joining a project in which they are in the process of combining 4 feeds in a Bulk API project with an AWS POC using Q developer. You will be getting involved with AWS API development ideally using … Q developer. Top Skills AWS Development AWSservices API development AWS Q/Amazon Q Developer experience or understanding This is a rolling 6 month contract operating INSIDE IR35. Ideally candidates can travel to the Edinburgh office a few times per month. Please apply within for further information. Job Title: AWS Developer (Amazon Q) Location: Edinburgh, UK Job Type: Contract More ❯
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 on this More ❯
role, 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'll … 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 response formatting * S3 operations including multipart uploads, presigned URLs, and event 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'll … 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 response formatting * S3 operations including multipart uploads, presigned URLs, and event More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
McGregor Boyall
contract (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 a technical lead … skills and experience: Strong Python 3.9+ skills with deep understanding of OOP, 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 More ❯