ow you’ll make an impact:

• Collaborate with teams to research, scope, and validate use cases for AI that drive business value and innovation.
• Drive AI adoption by combining rigorous scientific evaluation with the operational maturity to champion high-value applications and confidently push back on unsuitable AI use cases.
• Design, refine and build MLOps component of the data and AI platform, from Vector Databases through feature stored and model serving, all at the millisecond scale.
• Implement CI/CD pipelines and ensure adherence to best practices for model deployment, security, and compliance with global regulations.
• Work as part of our AI / ML guild; having a voice and being a driving force behind new approaches and use cases.
• Continuously monitor and optimise system performance to ensure scalability, security, and operational efficiency.

What we’re looking for:

• Proficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits.
• Working knowledge of common models, and their use cases and experience applying them to solve specific problems.
• Solid engineering skills, including designing and implementing services / data models and features.
• Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes).
• Expertise with modern data platforms (e.g., BigQuery / Databricks) and data processing workflows (ETL, pipelines).
• Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI)
• Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment.
• Excellent communication and a drive to work effectively across diverse teams.