Machine Learning Scientist (AI)

Location: UK Office; remote position with the option to work on-site in the Bristol office

Company

hirify.global Therapeutics is a clinical-stage life-science and technology company developing medicines with an AI-driven drug discovery and development platform.

What you will do

• Research and develop post-training strategies for large-scale multimodal foundation models.
• Design reward functions, training objectives, data-generation strategies, and evaluation protocols for reinforcement learning and other post-training methods.
• Build experimentation and hyperparameter optimization workflows for post-training recipes, model configurations, and training strategies.
• Develop inference optimization techniques and rigorous benchmarking frameworks for high-throughput evaluation and interactive discovery workflows.
• Collaborate with machine learning, software engineering, computational chemistry, medicinal chemistry, and biology specialists to productionize models and align objectives with drug discovery needs.
• Write, test, document, refactor, and package research and engineering code, and communicate results to internal teams, external partners, and conference audiences.

Requirements

• PhD in machine learning, computer science, computational chemistry, physics, or a related computational STEM field, or equivalent industry experience.
• Strong Python and PyTorch skills, including implementing, training, debugging, and evaluating deep learning models end-to-end.
• Demonstrated experience training large-scale transformer models.
• Experience with reinforcement learning, supervised or parameter-efficient fine-tuning, or related post-training methods.
• Experience with reproducible experimentation, clean code, testing, performance-aware debugging, and large-scale experimentation.
• Comfort with modern machine learning infrastructure, including Docker, CUDA, Kubernetes, and experiment tracking tools.

Nice to have

• Experience with multimodal or multi-task model architectures.
• Training and inference optimization, including mixed precision, kernel optimization, quantization, or distributed strategies.
• Familiarity with biomedical, chemical, or biological data.
• Distributed training, HPC, or large-scale training operations experience.

Culture & Benefits

• Inclusive environment built around diversity of background, culture, national origin, religion, sexual orientation, and life experiences.
• Private medical insurance, life assurance, and pension contributions.
• Flexible holiday allowances.
• Modern, collaborative UK office in central Bristol.