we foster an inclusive culture where everyone can make a difference, encouraging ownership, growth and well-being. Role Title: Principal Engineer – Automation & Generative AI Team: Digital Products and Engineering Supervisor: IT E ngineering Director Career Progression: Engineering, Architect ure , Analyst Position Description: Over the past 4 years Elanco … needs faster than ever before. This role is pa rt of our new enterprise platform engineering team with a specific focus on generative AI capability and their implementation in Elanco. This role will be working on the cutting edge of GenAI capabilit y strategizing, build and supporting our … robust support folding into standard incident processes as the products mature. Help work with distributed teams across the business on how to consume AI/ML capabilities. Hands on code, build, govern and maintain . Working as part of a scrum team, deliver high quality technical deliverables. Designing more »
Knowledge of data governance and modern concepts e.g., data mesh and data lake houses Knowledge of data science and ML platforms e.g., Databricks, Vertex, Fabric Applicants must be within commutable distance of Llandysul for 3 days a week working in office (working 2 days a week at home more »
s leading experts on autonomous vehicles, creating solutions such as Oxa Driver, equipping vehicles with full self-driving functionality; Oxa MetaDriver, using Generative AI to accelerate and assure the safety of deployments; and Oxa Hub, a set of cloud-based offerings for autonomous fleet management. Our technology is … date). Our purpose is to change the way the Earth moves, through an uncompromising focus on safety, efficiency and explainability of our AI approaches. The company has attracted $225 million from leading investors so far, with $140 million raised in the last Series C funding round in … have Previous role as an MLOps engineer Use of ML frameworks e.g. pytorch, tensorflow Familiarity with MLOps platforms e.g. Kubeflow, MLFlow, Tensorflow Extended, ClearML, VertexAI, Amazon SageMaker Experience deploying ML models in production environments Benefits We provide: Competitive salary, benchmarked against the market and reviewed annually Hybrid and/or more »