Nxera Pharma
Machine Learning Engineer - Molecular AI
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Machine Learning Engineer (Molecular AI)
About the Role
We are looking for a Machine Learning Engineer to help build, deploy, and optimize machine learning systems for molecules and proteins. You will bridge cutting-edge ML research with production-ready software, ensuring that models are scalable, reliable, and efficiently integrated into scientific workflows. This role is ideal for someone who enjoys making ML systems work in practice—from training and optimization to deployment and production monitoring—while collaborating closely with ML scientists and computational chemists.
Responsibilities
- Build, deploy, and maintain machine learning models for molecular and protein applications.
- Develop scalable ML infrastructure and production pipelines for training, inference, and evaluation.
- Optimize model performance, computational efficiency, and resource utilization.
- Design robust data pipelines for molecular and biological datasets.
- Collaborate with ML scientists to productionize new algorithms and research prototypes.
- Implement best practices for testing, monitoring, reproducibility, and MLOps.
- Improve inference speed, distributed training, and deployment across cloud and HPC environments.
- Work closely with multidisciplinary teams including computational chemistry, structural biology, and software engineering.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications Required
- MSc or PhD in Computer Science, Machine Learning, Engineering, Computational Biology, or a related field (or equivalent industry experience).
- Strong software engineering skills in Python.
- Experience with PyTorch and modern ML frameworks.
- Experience deploying machine learning models into production environments.
- Knowledge of MLOps, containerization (Docker), cloud platforms, CI/CD, and model serving.
- Experience optimizing model training and inference for performance and scalability.
- Strong problem-solving skills and the ability to work independently in a fast-moving environment.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Experience working with molecular, protein, structural biology, or chemistry datasets.
- Familiarity with graph neural networks, geometric deep learning, or transformer-based models.
- Experience with distributed training, GPU optimization, or high-performance computing.
- Knowledge of molecular representations, protein structures, or computational chemistry.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location