AI Research Scientist (Generative Models Lead)

We’re AtkinsRéalis, a world class Engineering Services and Nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services company dedicated to engineering a better future for our planet and its people. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in key strategic sectors.

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Key Responsibilities:

• Advanced Generative Model R&D:

  • Research and prototype cutting-edge generative model architectures (diffusion models, GANs, transformers) to produce high-quality Urban, architectural and interior design images from text prompts.

  • Design and train the core network from scratch, innovating techniques to achieve photorealism, style accuracy, and structural consistency specific to urban design, buildings, and rooms.

• Training & Optimization:

  • Implement and fine-tune the model architecture and training algorithms (data augmentation, loss functions, etc.), iterating rapidly to improve output quality.

  • Explore novel features such as spatial layout preservation, material texture fidelity, and structured outputs that can be used downstream.

  • Evaluate model performance with appropriate metrics (FID, CLIP-score, precision/recall, custom architecture-specific scores).

• Collaboration & Mentorship:

  • Work closely with the Data/ML Engineer to debug issues and optimize training pipelines.

  • Provide guidance on ML best practices, experimental design, and analysis; mentor junior engineers or contributors on complex model behavior.

• Innovation & Research:

  • Stay at the forefront of generative modeling research, propose new architectures or training approaches, and prototype novel applications for the design industry.

  • Required Qualifications

  • Education: PhD (or Master’s with equivalent experience) in Computer Science, Machine Learning, or a related field, with a focus on generative models, computer vision, or computational graphics.

• Technical Expertise:

  • Proven expertise in neural network architecture design and algorithm implementation, especially for image generation tasks.

  • Proficiency in Python and deep learning frameworks (PyTorch/TensorFlow); comfortable with libraries for vision and image processing.

  • Strong mathematical and statistical skills for modeling and performance analysis.

• Research Track Record:

  • Experience pushing the state of the art in AI research publications or successful projects in image synthesis, editing, or style transfer.

  • Bonus: Familiarity with computer vision techniques and image quality assessment, as well as 3D rendering or CAD data formats to bridge model outputs with architectural visualization needs.

• Relevant Experience/Background:

  • Generative AI Projects: 2–4 years (or equivalent) working on AI models for images — e.g., developing GAN-based image generators or training diffusion models.

  • Large-Scale Training: Hands-on experience with large-scale image datasets and multi-GPU training regimes (distributed training, optimization, model compression).

  • Design/Visual Domain: Experience in visual or design-oriented AI projects, such as architectural layout generation, style transfer for art/design, or photorealistic rendering.

  • Cross-Disciplinary Collaboration: Background working in interdisciplinary teams (designers, artists, or other domain experts), demonstrating the ability to translate creative requirements into model improvements.

What We Can Offer You:

• Varied, interesting and meaningful work.

• A hybrid working environment with flexibility and great opportunities.

• Opportunities for training and, as the team grows, career progression or sideways moves.

• An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual.

Why work for AtkinsRéalis?

We at AtkinsRéalis are committed to developing its people both personally and professionally. Our colleagues have the advantage of access to a high ranging training portfolio and development activities designed to help make the best of individual’s abilities and talents. We also actively support staff in achieving corporate membership of relevant institutions.

Meeting Your Needs:

To help you get the most out of life in and outside of work, we offer employees ‘Total Reward’.
Making sure you're supported is important to us. So, if you identify as having a disability, tell us ahead of your interview, and we’ll discuss any adjustments you might need.

Additional Information:

We are an equal opportunity, drug-free employer committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.

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