3 agentic ai engineer jobs found

Lead AI Developer - Salary £110,000 - £130,000 This is a great job for someone who thrives on building robust, production-grade generative and agentic AI systems that create significant, measurable value. They will find fulfilment in leading engineering teams, setting high standards (architecture, code quality, and operational readiness), and mentoring colleagues, all while maintaining hands-on technical excellence. The role requires the ability to distil complex concepts into clear, actionable ideas, fostering effective collaboration with stakeholders spanning product, data, and technology. This person will be the technical lead for our AI transformation, upholding the highest engineering standards for responsible, transparent, and ethical AI in a large FTSE 100 company. A bit about the job: Within Aviva's Customer & Marketing (C&M) function, the Customer Science team uses data to understand customers so we can be more relevant and take better actions. We are...

About The Team BMO’s Applied AI team is responsible for building high‑performing, safe, and reliable AI systems that power real banking experiences. The Evaluations group within Applied AI develops the methods, datasets, and tooling that measure quality, safety, and performance across the full AI lifecycle. Working closely with product, engineering, and research partners, the team ensures evaluation signals are deeply embedded into training loops, deployment workflows, and continuous monitoring processes. This group operates at the intersection of data science, machine learning, and responsible AI, enabling scalable, repeatable, and trustworthy evaluation of advanced AI systems. About The Role The AI Evaluation Scientist is an individual contributor role focused on delivering the data science stream of AI evaluations. This includes designing, implementing, and productionizing evaluation methods, metrics, and datasets that directly influence modeling decisions, product...

About The Team BMO’s Applied AI team is responsible for building high‑performing, safe, and reliable AI systems that power real banking experiences. The Evaluations group within Applied AI develops the methods, datasets, and tooling that measure quality, safety, and performance across the full AI lifecycle. Working closely with product, engineering, and research partners, the team ensures evaluation signals are deeply embedded into training loops, deployment workflows, and continuous monitoring processes. This group operates at the intersection of data science, machine learning, and responsible AI, enabling scalable, repeatable, and trustworthy evaluation of advanced AI systems. About The Role The AI Evaluation Scientist is an individual contributor role focused on delivering the data science stream of AI evaluations. This includes designing, implementing, and productionizing evaluation methods, metrics, and datasets that directly influence modeling decisions, product...