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- Tasks: Join our R&D team to develop innovative AI solutions for Biotech applications.
- Company: A leading Biotech firm focused on cutting-edge technology and strategic growth.
- Benefits: Enjoy remote work options and a collaborative, innovative environment.
- Why this job: Make a real impact in healthcare while working with top scientists and engineers.
- Qualifications: BS/BEng in Comp Sci or related field; strong Python and algorithm development skills required.
- Other info: Experience with Docker, AWS, and regulated medical software is a plus.
The predicted salary is between 48000 - 72000 £ per year.
A cutting-edge Biotech company are looking for a Senior/Principal AI Engineer to join their R&D team developing novel data solutions for Biotech applications like Oncology, Pathology & RNA-Seq.
Responsibilities include:
- Collaborate with scientists, engineers, and product teams to build and scale AI/ML models.
- Take projects from prototype to production-ready software.
- Create tools for training, testing, and optimizing AI/ML models.
- Improve code quality and development speed.
Qualifications:
- BS/BEng in Comp Sci, Biomedical or another relevant discipline.
- Strong experience with software or algorithm development.
- Strong Python skills.
- Experience with Docker or other container languages.
- Experience or understanding of Neural Networks.
- Familiarity with AWS, Kubernetes, or RESTful APIs.
- Exposure to regulated medical software environments.
Senior Machine Learning Engineer - AI employer: Edison Smart®
Contact Detail:
Edison Smart® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer - AI
✨Tip Number 1
Network with professionals in the biotech and AI/ML fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into the company culture and possibly get a referral.
✨Tip Number 2
Showcase your projects related to AI/ML, especially those that involve biotech applications. Create a portfolio or GitHub repository that highlights your work with Python, Docker, and neural networks. This will demonstrate your practical skills and passion for the field.
✨Tip Number 3
Familiarise yourself with the specific challenges faced in the biotech sector, particularly in areas like oncology and RNA-Seq. Understanding these challenges will allow you to speak knowledgeably during interviews and show how your skills can address them.
✨Tip Number 4
Prepare for technical interviews by brushing up on your algorithm development and software engineering principles. Practice coding challenges that focus on Python and containerisation technologies like Docker, as these are crucial for the role.
We think you need these skills to ace Senior Machine Learning Engineer - AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML, particularly in biotech applications. Emphasise your strong Python skills and any relevant projects you've worked on that demonstrate your ability to take prototypes to production.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the intersection of AI and biotech. Mention specific experiences that align with the job description, such as your familiarity with Docker, AWS, or your exposure to regulated medical software environments.
Showcase Relevant Projects: If you have worked on projects involving neural networks or AI/ML models, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work on the project outcomes.
Highlight Collaboration Skills: Since the role involves collaboration with scientists and engineers, mention any previous teamwork experiences. Discuss how you contributed to team projects and how you can bring that collaborative spirit to their R&D team.
How to prepare for a job interview at Edison Smart®
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Docker, and Neural Networks in detail. Bring examples of projects where you've successfully implemented AI/ML models, especially in regulated environments like biotech.
✨Demonstrate Collaboration
Since the role involves working closely with scientists and engineers, highlight your teamwork skills. Share specific instances where you collaborated on projects, focusing on how you contributed to the team's success.
✨Understand the Industry
Familiarise yourself with current trends in biotech, particularly in areas like Oncology and RNA-Seq. Showing that you understand the applications of AI/ML in these fields will impress your interviewers.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex challenges, especially those related to model optimisation and software development.
