Senior ML/AI Engineer

Role Overview

We are looking for a Senior ML/AI Engineer to design, build and productionise AI systems that solve concrete business problems for our clients. This is a consulting role where you will both advise on the approach and work on the hands-on engineering yourself.

What You Will Do

Lead AI/ML discovery and solution design, implement and deploy AI systems in production, work with data engineers, developers and business stakeholders.

Why It Might Be a Fit

You will influence how AI is used in multiple organisations, own a large part of the lifecycle, work with the full scope of AI, and have strong influence over models, tools, MLOps stack and architectures.

Requirements

• Strong ML/AI engineering background
• Solid experience deploying ML/AI systems into production
• Deep skills in Python and modern ML frameworks
• Experience with end-to-end ML pipelines from data to inference
• GenAI / LLM experience
• Experience with containerisation (Docker) and preferably some exposure to Kubernetes
• MLOps and cloud experience
• Ability to work with typical data engineering tools and patterns
• Relevant cloud/ML certifications (e.g. AWS ML Specialty, GCP ML, Azure AI, Databricks ML) are beneficial but not required

Benefits

• Competitive salary
• Equity
• Opportunity to influence how AI is used in multiple organisations
• Ownership of a large part of the lifecycle
• Strong influence over models, tools, MLOps stack and architectures