At a Glance
- Tasks: Train and optimise cutting-edge LLMs and VLMs from scratch in a hands-on role.
- Company: Join a pioneering Europe-based deep learning company focused on next-gen AI models.
- Benefits: Competitive salary up to £200k, equity options, and fully remote work.
- Other info: Dynamic environment with opportunities for innovation and career growth.
- Why this job: Be part of a world-class team tackling the most technical challenges in AI.
- Qualifications: Experience with GPU training, CUDA/Triton, and large-scale model optimisation.
The predicted salary is between 72000 - 120000 £ per year.
Do you want to build frontier-level LLM models from scratch? Have you worked on large-scale GPU training, Triton/CUDA, or MoE systems? Are you ready to join one of Europe's most technical deep-learning teams? A Europe-based deep learning company is building the next generation of foundation models. Think of a smaller, faster, highly technical version of the major frontier labs – focused on LLM/VLM training, GPU efficiency, safety layers, and advanced architectures. They are preparing for their next funding milestone and operate with an extremely high technical bar.
They are hiring an AI Engineer to focus on training, scaling, and optimising large models. This role is hands-on, research-driven, and sits at the core of model creation. The AI Engineer will train LLMs and VLMs from scratch, optimise distributed GPU systems, and contribute to new architectures including Mixture-of-Experts and multimodal pipelines. You will work closely with a small team of world-class engineers on one of the most technical problems in AI.
Key responsibilities- Train LLMs/VLMs from scratch using distributed frameworks
- Build and optimise multimodal training pipelines (text, image, audio)
- Develop and refine Mixture-of-Experts architectures
- Write and optimise CUDA/Triton kernels
- Improve training stability, speed, and memory efficiency
- Experiment with new architectures, scaling laws, and data mixtures
- Salary: Up to £200k + equity (0.1–0.3%)
- Working model: UK, 100% remote
- Stack: PyTorch, Megatron, DeepSpeed, Triton/CUDA, multimodal architectures
Interested? Please apply below.
AI Research Engineer - AI Safety Platform in Oxford employer: Harnham
Join a pioneering deep learning company that offers an exceptional work environment for AI Research Engineers, where innovation meets collaboration. With a focus on cutting-edge LLM and VLM model development, employees benefit from a fully remote working model, competitive salaries, and equity options, all while being part of a highly skilled team dedicated to pushing the boundaries of AI technology. The company fosters a culture of continuous learning and growth, ensuring that every team member has the opportunity to advance their skills and contribute to groundbreaking projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Engineer - AI Safety Platform in Oxford
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We think you need these skills to ace AI Research Engineer - AI Safety Platform in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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