Python Developer
hace 18 horas
Glasgow
Venesky-Brown’s client, a public sector organisation in Edinburgh / Glasgow, is currently looking to recruit a Python Engineer for an initial 6 month contract with potential to extend on a rate of £569/day (Outside IR35). This role will be a hybrid of working at home and in the office. Responsibilities: • Research and development of novel solutions that enable the organisation’s automation goals., • Demonstrate excellent, sustainable, and collaborative software development practice that’s focused on delivering highly readable, maintainable, and appropriate artefacts., • Extend and sustain the high-quality support procedures, dashboards, monitoring and deployment capabilities to ensure the team can continue to improve services via feedback., • Actively participating in all team events, leading where specialist knowledge is required, and supporting the team to improve their process through inspection and adaptation., • Engage with the wider communities of practice and interest to share knowledge, techniques, and experience., • Ensure high quality of developed solutions through development and maintenance of unit tests – with appropriate code coverage – and code analysis using code quality tools., • Ensure that developed software complies 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 in programming, code reviews, system design and requirements analysis/refinement, etc., • Coaching and mentoring other team members, as appropriate. Essential Skills: • OCR, Object Detection and LLM analysis implementation, • Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV for computer vision tasks and image preprocessing in object detection, PIL/Pillow for image manipulation and format conversion and YOLO object detection frameworks, • Proficiency in Python 3.9+ with understanding of object-oriented programming, decorators, context managers, and async/await patterns, • Data structures and algorithms 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, 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 client operations and external API integration, • Authentication/authorization implementation (JWT, OAuth), • Making excellent quality AI/ML software collaboratively with other engineers, • Working effectively under technical leadership while contributing specialized AI/ML expertise, • Design and implementation of AI/ML solutions using service-based and serverless architecture, • Using written, verbal, and visual communication to explain AI/ML concepts to both technical and non-technical audiences, • Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana, • Experience working in Agile delivery models - Scrum and/or Kanban frameworks, • Formal XP engineering techniques including TDD and pair programming, • Working within defined infrastructure-as-code frameworks Desirable Skills: • Custom model architecture design and implementation, • Advanced fine-tuning techniques including LoRA, QLoRA, and parameter efficient methods, • Multi-modal AI systems combining text, image, and structured data, • Reinforcement Learning from Human Feedback (RLHF) for model alignment, • Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management, • Model versioning and experiment tracking (MLflow, Weights & Biases), • Real-time model serving and edge deployment strategies, • A/B testing frameworks for ML model evaluation If you would like to hear more about this opportunity please get in touch.