Applied AI ML Engineer

Requirements

• Experience integrating AI/ML into production systems (monitoring, incident response, change management).
• Familiarity with responsible AI/ML governance expectations and lifecycle controls
• Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Additional Information

Applied AI ML Engineer 210740354 T16:02:19+00:00 Bournemouth Predictive Science Full time As a Senior Associate, Applied AI/ML Engineer in the Applied AI/ML team, you will help customers build, deploy, and operate AI/ML models and agentic systems in a safe, scalable way. Job responsibilities *Assist customers in building and deploying models and agents across multiple model/agent frameworks (selection, integration patterns, troubleshooting, best practices). *Implement and operate AI/ML observability : experimentation management, tracing, and monitoring to improve quality and reliability of model/agent behavior. *Build and optimize large-scale data processing pipelines and feature workflows using distributed compute (e.g., Ray, Spark, or similar). *Develop AI/ML systems using coding assistants to improve engineering efficiency while maintaining code quality standards. *Ensure secure deployment and access for AI/ML services (e.g., secure-by-design practices, access controls, and environment separation), aligned to firm guidance for safe/responsible AI use. Produce clear technical documentation and runbooks to enable supportability and repeatable delivery. Required qualifications, capabilities, and skills Hands-on experience supporting customers/teams delivering AI/ML products (model + agent workflows). Experience with observability, evaluation/experimentation, and tracing platforms for AI/ML or LLM/agent systems. Experience with distributed data processing at scale (Ray, Spark, or similar). Strong software engineering skills (clean code, testing, CI/CD concepts, API/service development). Strong communication skills and ability to translate requirements into practical engineering outcomes.

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Company Intel

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