At a Glance
- Tasks: Develop deep-learning pipelines for drug discovery and enhance model usability.
- Company: Leading research organisation in London focused on innovative science.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and exposure to groundbreaking research.
- Why this job: Join a pioneering team and make a real impact in drug discovery using cutting-edge technology.
- Qualifications: Relevant degree and experience in machine learning, Python, and scientific software.
The predicted salary is between 60000 - 80000 £ per year.
We are currently looking for a Machine Learning Engineer to join a leading research organisation based in London. As Machine Learning Engineer, you will be responsible for advancing data‑processing, model‑building, and deployment capabilities for a pioneering research organisation.
Key Duties and Responsibilities
- Develop deep-learning pipelines for nuclear magnetic resonance (NMR) data and innovative machine learning approaches to elucidate and quantify interactions between small molecules and intrinsically disordered proteins.
- Enhance the usability of built models by implementing automated, streamlined, and efficient software solutions in line with best practices, and build model‑deployment and job‑launching systems for internal and external use.
- Collaborate closely with other computational and NMR team members, in addition to experimental biophysicists, assisting with experimental data handling and curation, and mentoring the interdisciplinary team in machine‑learning and data analysis methods.
- Stay current with breakthroughs in machine learning, neural networks, NMR, and computational technologies, contributing to the design and execution of cutting‑edge machine learning and NMR research projects.
Role Requirements
- Relevant degree in a technical field with proven experience in machine learning or model‑building.
- Proven industry experience in applying machine learning and modelling techniques to graph‑based data such as molecules and proteins, as well as time series. An ability to demonstrate innovative ways of working (for example work on disordered proteins and consideration of the next frontier in drug discovery) will be highly advantageous.
- A working knowledge and practical experience with Python, and extensive experience with the scientific and machine‑learning stack: Numpy, Torch/Tensorflow/Jax, Scikit‑learn, Polars, SQL.
Key Words: Machine Learning Engineer / Data Processing / Model Building / NMR / Deep Learning / Computational Biophysics / Drug Discovery / Neural Networks / Scientific Software / Python / Nuclear Magnetic Resonance
Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements.
NMR & ML Engineer: Deep Learning for Drug Discovery employer: Hyper Recruitment Solutions
Join a pioneering research organisation in London that champions innovation and collaboration in the field of drug discovery. As an NMR & ML Engineer, you will thrive in a dynamic work culture that prioritises employee growth through mentorship and cutting-edge projects, while enjoying the benefits of a supportive environment that values diversity and equal opportunities. This role offers a unique chance to contribute to groundbreaking research, making a meaningful impact in the scientific community.
Contact Details:
Hyper Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land NMR & ML Engineer: Deep Learning for Drug Discovery
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and drug discovery on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy to ask for informational interviews – it’s all about making connections that could lead to your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to deep learning and NMR data. Whether it's GitHub repos or a personal website, having tangible evidence of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for those interviews! Research common questions for machine learning roles and practice your answers. Be ready to discuss your experience with Python and the scientific stack, and think of examples where you've applied innovative solutions in your past work.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in being part of our team!
We think you need these skills to ace NMR & ML Engineer: Deep Learning for Drug Discovery
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Machine Learning Engineer. Highlight your experience with deep learning, NMR data, and any relevant projects that showcase your skills in model-building and data processing.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about drug discovery and how your background in machine learning makes you a perfect fit for our team. Don’t forget to mention any innovative approaches you've taken in past projects.
Showcase Your Technical Skills:Be sure to list your technical skills prominently, especially your experience with Python and libraries like TensorFlow or PyTorch. We want to see how you’ve applied these tools in real-world scenarios, so include specific examples!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Hyper Recruitment Solutions
✨Know Your NMR and ML Basics
Make sure you brush up on your knowledge of nuclear magnetic resonance and machine learning concepts. Be ready to discuss how these technologies can be applied in drug discovery, as this will show your understanding of the role and its relevance.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and the scientific stack mentioned in the job description. Bring examples of past projects where you've used tools like TensorFlow or Scikit-learn, and be ready to explain your thought process and the outcomes.
✨Collaboration is Key
Since the role involves working closely with interdisciplinary teams, think of examples from your past experiences where you successfully collaborated with others. Highlight your ability to mentor and share knowledge, as this will resonate well with the interviewers.
✨Stay Updated on Industry Trends
Research recent breakthroughs in machine learning and NMR technologies. Being able to discuss current trends and how they might impact drug discovery will demonstrate your passion for the field and your commitment to staying informed.
