Machine Learning Engineer - Generative AI

Qubit Analytics; London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading startup in London focused on generative AI is seeking a Machine Learning Engineer to design and optimize advanced models for real-time applications. Ideal candidates will possess strong expertise in deep learning and have a collaborative mindset to solve complex challenges in 3D graphics and artificial intelligence. This role offers a dynamic work environment and the chance to impact cutting-edge AI technology significantly.

Benefits

Access to world-class compute resources

Support for continued research and publication

Culture that values technical excellence and personal growth

Competitive salary

Qualifications

• Ph.D. or Master's with relevant experience required.
• Strong expertise in deep learning, neural networks, and generative models.
• Practical experience with modern ML frameworks.

Responsibilities

• Develop and optimize generative models for real-time applications.
• Collaborate with graphics teams to integrate AI models.
• Research emerging techniques in generative AI.

Skills

Deep learning

Neural networks

Generative models

Problem-solving

Analytical skills

Communication skills

Education

Ph.D. in Computer Science, Mathematics, Electrical Engineering

Master’s degree with 2+ years experience

Bachelor’s degree with 4+ years experience

Tools

PyTorch

TensorFlow

Python

CUDA

Job description

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We are a startup building next-generation real-time image-to-image transformation models, with a special focus on3D applications and rendering engine integration. Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative and innovative environment.

Company Description

We are a startup building next-generation real-time image-to-image transformation models, with a special focus on3D applications and rendering engine integration. Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative and innovative environment.

Role Description

We are seeking aMachine Learning Engineer – Generative AIto join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work on some of the most technically challenging problems at the intersection of deep learning and real-time 3D systems.

Minimum Qualifications

• Ph.D.in Computer Science, Mathematics, Electrical Engineering, or a related field; orMaster’sdegree with2+ yearsof relevant industry experience; orBachelor’sdegree with4+ yearsof relevant industry experience.
• Strong expertise in deep learning, neural networks, and generative models (GANs, diffusion models).
• Practical experience with modern machine learning frameworks (e.g., PyTorch, TensorFlow).
• Advanced programming skills inPython.
• Strong problem-solving, analytical, and communication skills.
• Demonstrated ability to work effectively in multidisciplinary, fast-paced, research-driven teams.

Preferred Qualifications

• Experience with3D vision, computer graphics, or real-time rendering engines(e.g., Unreal Engine, Unity, custom 3D engines).
• Proven track record ofpublications at top-tier conferences(e.g., NeurIPS, CVPR, ICML, ICLR, SIGGRAPH, ECCV).
• Experience withGPU programming (CUDA)andmodel optimizationfor real-time inference (e.g., quantization, pruning, ONNX, TensorRT, custom CUDA kernels).
• Background in scalable algorithm design for real-time or interactive applications.
• Experience integrating machine learning models with complex production pipelines, including 3D graphics or AR/VR systems.
• Contributions to open-source research codebases or prior collaboration with academic/industry research labs.

Key Responsibilities

• Develop and optimize state-of-the-art generative models (GANs, diffusion models) for real-time image-to-image and3D/graphics tasks.
• Collaborate with 3D graphics and rendering teams to integrate AI models into interactive applications and pipelines.
• Prototype, benchmark, and productionize new algorithms that advance real-time generative AI for both 2D and 3D content.
• Research and experiment with emerging techniques to keep our technology at the cutting edge.
• Work cross-functionally to align technical solutions with business goals and product needs.

What We Offer

• The opportunity to work at the intersection ofdeep learning, 3D vision, and real-time graphics.
• A dynamic, research-driven environment where your work directly impacts next-gen 3D/AI products.
• Access to world-class compute resources and support for continued research and publication.
• A culture that values technical excellence, creativity, and personal growth.
• Competitive salary.

If you are passionate about generative AI, love working with 3D graphics and rendering technology, and want to be part of a world-class team building the future of real-time AI, we’d love to hear from you!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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