Python Developer

Venesky Brown; Glasgow; Hybrid; GBP 104,980; Full time

Job summary

A public sector organization in Edinburgh/Glasgow is seeking a Python Engineer for an initial 6-month contract. The role involves working on AI/ML projects, ensuring high-quality software delivery while collaborating in a hybrid work environment. Candidates should have proficiency in Python and experience with machine learning libraries to aid the organization's automation goals.

Qualifications

• Experience in developing AI/ML solutions using service-based and serverless architecture.
• Strong understanding of object-oriented programming and Python best practices.
• Proven track record of delivering solutions in Agile environments.

Responsibilities

• Research and develop novel automation solutions.
• Ensure the quality of developed solutions through robust testing.
• Coach and mentor team members in software development practices.

Skills

Proficiency in Python 3.9+

Machine Learning & AI Libraries

Data structures and algorithms

Error handling and debugging

Pandas and NumPy

Boto3 for AWS

FastAPI for building REST APIs

Experience with CDK

Tools

AWS

SQLAlchemy

Apache Airflow

OpenCV

YOLO

Job description

Overview

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.
• 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.
• FastAPI for building REST APIs and model serving endpoints.
• Requests library for HTTP client operations and external API integration.
• 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.
• 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.
• 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.

Employment details

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Analyst
• Industries: Information Services

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