At a Glance
- Tasks: Develop deep-learning pipelines and enhance model usability for groundbreaking research.
- Company: Leading research organisation in London focused on innovative machine learning.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Join a pioneering team and contribute to cutting-edge research in drug discovery.
- Qualifications: Relevant degree and experience in machine learning, Python, and scientific software.
The predicted salary is between 50000 - 70000 € 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.
Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.
Machine Learning Engineer employer: Hyper Recruitment Solutions
Join a pioneering research organisation in London that champions innovation and collaboration in the field of machine learning and biophysics. With a strong commitment to employee growth, you will have access to cutting-edge projects and mentorship opportunities, fostering a dynamic work culture that values creativity and scientific advancement. Enjoy the unique advantage of working in a vibrant city known for its rich academic and research environment, making it an excellent place for meaningful and rewarding employment.
Contact Detail:
Hyper Recruitment Solutions Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the machine learning field on LinkedIn or at local meetups. Engaging with others can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to deep learning and NMR data. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll likely need to collaborate with interdisciplinary teams.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your relevant experience with machine learning, model-building, and any specific projects that relate to NMR data or drug discovery. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include a section in your application where you showcase any projects you've worked on that demonstrate your expertise in Python and machine learning. If you've tackled graph-based data or time series, let us know! This is your chance to shine.
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, so get to the point while still showcasing your achievements.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Hyper Recruitment Solutions
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those related to deep learning and NMR data. Be ready to discuss your past projects and how you've applied techniques like Python, TensorFlow, or Scikit-learn in real-world scenarios.
✨Showcase Collaboration Skills
Since the role involves working closely with interdisciplinary teams, prepare examples of how you've successfully collaborated with others. Highlight any mentoring experiences or times when you’ve helped team members understand complex machine learning concepts.
✨Stay Current
Research recent breakthroughs in machine learning and computational biophysics. Being able to discuss current trends or innovations will show your passion for the field and your commitment to staying updated, which is crucial for this role.
✨Prepare Questions
Have a few thoughtful questions ready about the organisation's research projects or their approach to model deployment. This not only shows your interest but also gives you insight into whether the company aligns with your career goals.
