Head of Applied AI Products in Oxford

Head of Applied AI Products in Oxford

Oxford Full-Time 72000 - 88000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the design of AI-native products and transform geoscience data into structured knowledge.
  • Company: Viridien, a pioneering tech company focused on sustainable solutions.
  • Benefits: Competitive salary, continuous learning opportunities, and a commitment to environmental sustainability.
  • Other info: Join a diverse team dedicated to innovation and community engagement.
  • Why this job: Shape the future of AI technology while making a positive impact on the planet.
  • Qualifications: Strong engineering background and experience in building complex AI systems.

The predicted salary is between 72000 - 88000 £ per year.

Viridien is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Viridien is seeking a Head of Applied AI Products to lead the design and realization of our AI-native product ecosystem. This role sits at the intersection of engineering, research, and product architecture, defining the technical direction for AI-powered solutions and translating emerging AI capabilities into scalable, production-grade products. The role focuses on transforming unstructured geoscience domain data into structured knowledge systems and building AI-native tools that enable advanced data analysis and customizable workflows. The Head of Applied AI Products will shape the AI roadmap, define system architectures, and ensure the successful delivery of innovative AI-driven capabilities aligned with Viridien’s strategic goals.

Key Responsibilities

  • AI Product Architecture & Strategy
    • Define and own the AI product architecture and technical product roadmap.
    • Translate emerging AI capabilities into scalable product architectures and user experiences.
    • Establish best practices for building reliable, observable, and debuggable LLM-powered systems.
  • AI Data Pipelines & Systems
    • Design and improve end-to-end AI pipelines.
    • Develop document ingestion, layout analysis, and information extraction capabilities.
    • Build entity resolution processes aligned with standardized domain databases.
    • Implement table understanding and schema normalization into predefined data schemas.
  • Advanced AI & Analytics
    • Design and implement advanced analytics capabilities.
    • Develop domain-specific machine learning models in collaboration with subject matter experts.
    • Build enhanced RAG (Retrieval-Augmented Generation) systems and AI-assisted research tools.
  • AI Applications & Platforms
    • Lead the development of AI-native applications and tools.
    • Implement tool-calling and orchestration frameworks for domain-specific software.
    • Develop data analysis and integration systems.
    • Implement human-in-the-loop validation and feedback mechanisms.
  • Technical Leadership & Prototyping
    • Prototype core systems to validate feasibility and guide implementation.
    • Partner with engineering teams to review designs and ensure strong technical architecture.
    • Drive the transition from experimental AI capabilities to scalable production systems.

What We Are Looking For

  • Strong engineering background (ML engineering, MLOps engineer, or equivalent).
  • Proven experience building complex systems from 0-1.
  • Ability to independently write production-quality code and build functional prototypes.
  • Practical experience with LLM application architectures (e.g., RAG, agents, workflows, tool calling).
  • Solid understanding of data pipelines, system design, and service-oriented architectures.
  • Product-minded: able to reason about user value, tradeoffs, and adoption—not only implementation.
  • Comfortable operating in high-ambiguity, fast-evolving technical environments.

Learning and Development

At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance technical, commercial, and personal growth.

We Care About The Environment

We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.

Our Hiring Process

At Viridien, we are committed to delivering a respectful, inclusive, and transparent recruitment experience. Due to the high volume of applications we receive, we may not be able to provide individual feedback to every applicant. Only candidates whose qualifications closely match the role criteria will be contacted for an interview. We do, however, aim to share personalized feedback with those who progress to the first round of interviews and beyond. We are also dedicated to ensuring that our hiring process is accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don’t hesitate to contact your recruiter directly. We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Summary

Location: Singapore, Singapore; Crawley, United Kingdom
Type: Full time

Head of Applied AI Products in Oxford employer: CGG

At Viridien, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that encourages professional development. Located in a vibrant area, our team enjoys a healthy work-life balance, competitive benefits, and the chance to work on cutting-edge network technologies that make a real impact globally.

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Contact Details:

CGG Recruitment Team

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We think you need these skills to ace Head of Applied AI Products in Oxford

AI Product Architecture
Technical Product Roadmap
Machine Learning Engineering
MLOps
Production-Quality Code
LLM Application Architectures
Data Pipelines

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