AI Engineer

Your New Company and Role Join a dynamic digital team focused on delivering intelligent automation solutions using cutting-edge technologies. In this 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 Need to Succeed Commercial experience with AI/ML technology: • OCR, Object Detection and LLM analysis implementation • Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and training o OpenCV for computer vision tasks and image preprocessing in object detection o PIL/Pillow for image manipulation and format conversion o YOLO object detection frameworks • Core Python Skills: • 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 optimisation • Error handling and debugging using try-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 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 for HTTP client operations and external API integration • Authentication/authorisation implementation (JWT, OAuth) • Software Development: • Making excellent quality AI/ML software collaboratively with other engineers • Working effectively under technical leadership while contributing specialised 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 • Development Practices: • 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 What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk