London - Hybrid
I'm hiring for an AI start-up focused on continual learning. They're looking for a Research Scientist/ Engineer to lead large-scale experimentation across supervised fine-tuning, reinforcement learning, distillation and repeated model adaptation.
You will take ownership of research questions, design training programmes and work directly with multi-billion-parameter language models.
What you’ll work on
- Train and post-train large language models.
- Design supervised fine-tuning and reinforcement-learning experiments.
- Research continual and sequential model adaptation.
- Build datasets, curricula and training-data mixtures.
- Evaluate capability improvements, retention and regressions.
- Work with distillation, synthetic data and model-generated training data.
- Develop RL environments and verifiable-reward tasks.
- Diagnose training failures and unexpected model behaviour.
- Build reliable experimentation and evaluation infrastructure.
- Collaborate with researchers developing new learning algorithms.
What we’re looking for
- Substantial hands-on experience training or post-training language models.
- Experience with SFT and reinforcement learning for LLMs.
- Knowledge of modern policy-optimisation methods.
- Experience with distributed or multi-GPU training.
- Strong Python and PyTorch, JAX or equivalent framework experience.
- Understanding of training dynamics, evaluation and generalisation.
- Ability to own research directions rather than only implement predefined approaches.
Particularly valuable experience
- Working with models in the 10B+ parameter range.
- Continual learning or repeated model adaptation.
- Distillation and synthetic-data generation.
- Reinforcement learning with verifiable rewards.
- Dataset construction and curriculum design.
- Building evaluation systems that detect capability loss and regression.
A PhD is valuable but not essential. Direct evidence of successfully training, adapting and evaluating large models is the primary requirement.
- Work on fundamental problems in language-model adaptation.
- Run ambitious experiments with direct influence over the research roadmap.
- Join a small, highly technical team at an early stage.
- Take meaningful ownership over both research and implementation.
- Receive a highly competitive salary and significant equity.
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Founding Machine Learning Researcher (LLM Post-Training) in London employer: SR2
Join a forward-thinking engineering company in Woking, where your contributions as a Senior Electronics Engineer will directly impact the development of cutting-edge technology for industrial and autonomous applications. With a strong emphasis on employee growth, a collaborative work culture, and significant investment in innovation, this is an excellent opportunity to be part of a team that values your expertise and encourages you to take ownership of your projects. Enjoy the benefits of working in a dynamic environment that fosters creativity and offers a clear path for career advancement.
