At a Glance
- Tasks: Develop and implement machine learning models for analysing complex biological data.
- Company: Pioneering research organisation focused on drug discovery and disordered proteins.
- Benefits: Competitive salary, excellent work-life balance, and potential sponsorship.
- Other info: Collaborative, open-source environment with significant influence over scientific direction.
- Why this job: Join groundbreaking research and make a real impact in drug discovery.
- Qualifications: Degree in relevant field with industrial experience in machine learning.
The predicted salary is between 50000 - 70000 £ per year.
We 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 RESPONSIBILITIES- 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 technical knowledge to drive projects independently within a small, open‐source environment, ensuring results are meaningful and impactful.
- Translate scientific challenges into effective computational solutions.
- 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.
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.
Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements.
Machine Learning Engineer employer: Hyper Recruitment Solutions LTD
Join a pioneering research organisation that is at the forefront of drug discovery, where your expertise as a Machine Learning Engineer will directly contribute to groundbreaking advancements in understanding disordered proteins. Enjoy a collaborative and open-source work culture that fosters innovation and offers significant opportunities for personal and professional growth, all within a state-of-the-art facility that prioritises work-life balance with a four-day on-site schedule. With a competitive salary package and the potential for sponsorship, this role provides a unique chance to make a meaningful impact in the scientific community.
Contact Details:
Hyper Recruitment Solutions LTD Recruitment 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 field of machine learning and drug discovery. Attend meetups, webinars, or conferences where you can connect with potential employers and showcase your passion for the industry.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your machine learning projects, especially those related to biological data. This will give you an edge and demonstrate your practical experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of disordered proteins. Be ready to discuss how you've tackled similar challenges in the past and how you can contribute to their research goals.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find opportunities that match your skills and interests. Plus, it shows you're serious about joining our innovative team.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and biological data. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about applying machine learning to disordered proteins. We love seeing enthusiasm and a clear connection to our mission.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex biological problems in the past. We’re looking for candidates who can translate scientific challenges into effective computational solutions, so share your success stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Hyper Recruitment Solutions LTD
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning models, especially those relevant to biological data. Familiarise yourself with disordered proteins and NMR techniques, as these will likely come up in conversation.
✨Showcase Your Experience
Prepare specific examples from your past work where you've successfully developed and deployed machine learning solutions. Highlight how your contributions made a difference in previous projects, particularly in biological or biochemical contexts.
✨Collaborative Mindset
Since the role involves working closely with scientific teams, be ready to discuss how you’ve collaborated in the past. Think of instances where you interpreted data and refined approaches based on team feedback—this shows you can balance technical skills with teamwork.
✨Ask Insightful Questions
Prepare thoughtful questions about the organisation's research directions and challenges they face with disordered proteins. This not only shows your interest but also demonstrates your understanding of the field and eagerness to contribute meaningfully.
