AI Engineer

This AI Engineer role is focused on design, build, and maintain scalable AI and machine learning systems, including tasks related to data sourcing, feature engineering, model training, validation, and deployment. It would suit someone who can bring strong professional approach to the role.

What the work leans on

Serve as an advisor or coach to new or lower-level analysts, acting as a Subject Matter Expert (SME) for AI technologies and methodologies. The AI Engineer is an intermediate-level position responsible for designing, developing, and deploying artificial intelligence and machine learning systems in coordination with the.

Where the technical work sits

• Design, build, and maintain scalable AI and machine learning systems, including tasks related to data sourcing, feature engineering, model training, validation, and deployment.
• Collaborate with business stakeholders, data scientists, and other technology groups to translate business needs into technical requirements and deliver advanced AI/ML solutions.
• Operate with a limited level of direct supervision, exercising independence of judgment and autonomy in technical decisions.

Technical requirements

• Substantial relevant experience in an AI Engineer, Machine Learning Engineer, or a similar role.
• Proven experience in designing, building, and deploying machine learning models (, NLP, computer vision, predictive analytics) into production environments.
• Hands-on experience with MLOps principles and tools (, MLflow, Kubeflow, Docker, Kubernetes) for model deployment, monitoring, and management.

What helps delivery stay steady

Strong professional approach.

Practical details

• Work model: Hybrid.
• Additional detail: Training or development support may be provided.

Job details

• Benefits mentioned: Holiday allowance, Training, Hybrid working