Principal Research Scientist – Frontier Industrial AI

Overview

In this role you drive frontier industrial AI research at AVEVA, turning ambitious ideas into working systems. You will lead high-impact initiatives, develop new models and architectures, and build validated prototypes that advance industrial intelligence. You’ll publish work and contribute to AVEVA’s IP portfolio, while shaping the company’s long-term AI direction. This position blends independent research with hands-on engineering in a hybrid UK setting.

Pay / Benefits

• Flexible benefits fund
• 28 days annual leave + bank holidays
• pension
• private medical insurance
• parential leave
• education assistance program

Responsibilities

• Define and lead ambitious frontier industrial AI research initiatives
• Develop models, algorithms, evaluation methods, and system architectures
• Build high-quality experimental systems and validated research prototypes
• Publish at leading venues and contribute to IP portfolio
• Create benchmarks, datasets, and evaluation frameworks for industrial AI
• Partner with AI labs, universities, and technology organizations
• Take research from hypothesis to prototype and validation
• Help shape AVEVA’s long-term AI research direction and strategy

Key requirements

• PhD or equivalent research experience in ML/AI/CS/engineering or related field
• Strong publications, patents, open-source work, prototypes, or other meaningful technical contributions
• Strong hands-on ability in AI experimentation and software development
• Ability to independently identify problems, formulate hypotheses, and execute projects with limited structure
• Deep expertise in foundation models, multimodal learning, time-series modeling, generative models, RL, agentic systems, simulation, world models, representation learning, or AI evaluation
• Strong scientific judgment to design rigorous experiments and communicate results clearly
• High agency, curiosity, and constructive problem-solving mindset
• Ability to collaborate across research, engineering, product, and teams

• High agency
• Intellectual curiosity
• Constructive problem-solving mindset
• Foundation models
• Multimodal learning
• Time-series modeling

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