At a Glance
- Tasks: Develop and deploy machine learning models for drug discovery and biological data analysis.
- Company: Pioneering research organisation focused on innovative approaches to disordered proteins.
- Benefits: Competitive salary, excellent work-life balance, and potential sponsorship.
- Other info: Join a dynamic team and influence scientific direction in a state-of-the-art facility.
- Why this job: Make a real impact in groundbreaking research within a collaborative, open-source environment.
- Qualifications: Degree in relevant field and industrial experience in machine learning for biological research.
ROLE OVERVIEWWe are currently looking for a Machine Learning Engineer to join a pioneering research organisation dedicated to advancing drug discovery through innovative approaches to disordered proteins. This is an exciting opportunity for a candidate with a strong industrial background and a passion for applying machine learning to complex biological problems. Based at their modern facility, you will play a key role in driving forward cutting-edge research in a dynamic, open-source environment.In this position, you will be responsible for developing and deploying machine learning models specifically tailored to tackle the challenges presented by highly dynamic and disordered proteins, with a particular focus on NMR data. You will work independently within a small, autonomous team, influencing research directions and interpreting self-generated data to uncover new insights in this emerging scientific frontier.KEY DUTIES AND RESPONSIBILITIESYour duties as the Machine Learning Engineer will be varied, however the key duties and responsibilities are as follows:Develop and implement machine learning models to analyse complex biological data, particularly focusing on disordered proteins.Collaborate with scientific teams to interpret data, draw insights, and refine experimental approaches based on model findings.Engage directly with real biological problems, balancing modelling expertise with practical, applied research.Use your technical knowledge to drive projects independently within a small, open-source environment, ensuring results are meaningful and impactful.As the Machine Learning Engineer, you will be pivotal in translating scientific challenges into effective computational solutions.ROLE REQUIREMENTSTo be successful in your application to this exciting role as the Machine Learning Engineer we are looking to identify the following on your profile and past history:A Degree or higher level in a relevant field (e.g., Computer Science, Data Science, Bioinformatics) with proven applied experience.Demonstrated industrial experience in developing machine learning solutions within biological or biochemical research settings.Strong understanding of disordered proteins, protein dynamics, and limitations of static techniques like NMR.Proven ability to work independently, drive projects forward, and influence research directions within small, autonomous teams.WHAT’S IN IT FOR YOU?This is a rare opportunity to contribute to groundbreaking research in drug discovery at a forward-thinking, non-profit organisation. You will benefit from a collaborative, open-source environment with significant influence over scientific direction, paired with a competitive salary package and the potential for sponsorship if required. Working four days on-site offers excellent work-life balance, within a state-of-the-art facility supported by recent government funding.Key Words: Machine Learning / Bioinformatics / Disordered Proteins / NMR / Applied Research / Autonomy / Biological Data Analysis / Open Source / Innovation / Drug Discovery"Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career".
Machine Learning Engineer - Hybrid Remote in London employer: Hyper Recruitment Solutions
Join a leading provider of advanced scientific instrumentation where you can thrive as a Field Service Engineer in a dynamic and innovative environment. Enjoy the benefits of ongoing training, professional development, and a supportive team culture that prioritises flexibility and career progression. With the opportunity to work with cutting-edge technology across the South and Central regions, this role offers a rewarding experience for those passionate about science and engineering.
Contact Details:
Hyper Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Hybrid Remote in London
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We think you need these skills to ace Machine Learning Engineer - Hybrid Remote in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
