At a Glance
- Tasks: Build and optimise machine learning systems for molecules and proteins.
- Company: Join a pioneering team at the forefront of Molecular AI.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a fast-paced, innovative environment.
- Why this job: Make a real impact in science by bridging ML research with practical applications.
- Qualifications: MSc or PhD in relevant fields and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
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.
Qualifications Required
- MSc or Ph D in Computer Science, Machine Learning, Engineering, Computational Biology, or a related field (or equivalent industry experience).
- Strong software engineering skills in Python.
- Experience with Py Torch 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.
- 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.
- #J-18808-Ljbffr
Machine Learning Engineer - Molecular AI employer: Nxera Pharma
Join a pioneering team at the forefront of AI-driven molecular discovery, where your contributions will directly impact scientific advancements. Our collaborative work culture fosters innovation and encourages continuous learning, providing ample opportunities for professional growth and development. Located in a vibrant tech hub, we offer a dynamic environment that values creativity and excellence, making it an ideal place for passionate researchers to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Molecular AI
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Nxera Pharma. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Nxera Pharma!
We think you need these skills to ace Machine Learning Engineer - Molecular AI
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Nxera Pharma that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Nxera Pharma.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Nxera Pharma does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Nxera Pharma
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Nxera Pharma. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Nxera Pharma's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Nxera Pharma. This shows your passion for the industry!
