AI Engineer - Production ML & Data Pipelines

ACCENTURE PTE LTD; Lee-on-the-Solent; On-site; GBP 65,000 - 90,000; Full time

Job summary

Accenture is seeking an AI Engineer (Consultant) to hands-on develop intelligent systems, ML pipelines, and AI-powered applications in a production environment. You will work within delivery teams, turning business requirements into scalable AI solutions under guidance, while actively learning in a fast-evolving field.

This role emphasizes CI/CD for ML, model monitoring, and robust MLOps practices, with travel 0–100% based on client needs.

Qualifications

• 3+ years of software engineering in production
• Hands-on experience building and deploying machine learning models
• Strong understanding of ML fundamentals: supervised/unsupervised learning, feature engineering
• Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn, or XGBoost)
• 2+ years building data pipelines or ETL workflows
• Strong SQL and data manipulation skills
• Experience with MLOps: model versioning, CI/CD for ML
• Cloud familiarity (AWS/Azure/GCP) and containerised workloads

Responsibilities

• AI Application Development: design and build AI-powered applications with Python backends and production-grade APIs
• Machine Learning Development: train, deploy, and monitor ML models; lifecycle management
• Data Engineering & Pipelines: design scalable data pipelines, ETL/ELT
• Model & System Integration: integrate models into production with robust error handling
• MLOps & Production Excellence: CI/CD for ML, observability and testing suites
• Continuous Learning: stay current with ML frameworks and contribute knowledge to the team

Skills

Python

ML Engineering

Production ML

Cloud Platforms

Kubernetes

Git

Education

Bachelor's degree in Computer Science or Engineering

Tools

PyTorch

TensorFlow

scikit-learn

XGBoost

Kubernetes

Job description

Accenture is seeking an AI Engineer (Consultant) to hands-on develop intelligent systems, ML pipelines, and AI-powered applications in a production environment. You will work within delivery teams, turning business requirements into scalable AI solutions under guidance, while actively learning in a fast-evolving field.

This role emphasizes CI/CD for ML, model monitoring, and robust MLOps practices, with travel 0–100% based on client needs.