At a Glance
- Tasks: Design and develop innovative computer vision algorithms for medical devices.
- Company: Join Thermo Fisher, a leader in the medical device industry.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with cross-functional teams.
- Why this job: Make a real impact in healthcare with cutting-edge technology.
- Qualifications: 5+ years in computer vision, Python, AWS, and deep learning frameworks.
The predicted salary is between 60000 - 80000 £ per year.
thermofisher is looking for a MSAT Vision Engineer to design and develop innovative computer vision algorithms in the medical device industry. The role involves close collaboration with cross-functional teams, ensuring the integration of vision solutions into their products.
Ideal candidates should have over 5 years of experience in computer vision, proficiency in Python and AWS, and familiarity with deep learning frameworks like TensorFlow or PyTorch. Strong communication skills are essential.
Medical Device Vision Engineer — ML & Python/AWS in Swindon employer: thermofisher
Thermo Fisher is an exceptional employer, offering a dynamic work environment where innovation thrives. With a strong focus on employee growth and collaboration, team members are encouraged to develop their skills in cutting-edge technologies like machine learning and computer vision. Located in a vibrant area, employees benefit from a supportive culture that values diversity and fosters meaningful contributions to the medical device industry.
StudySmarter Expert Advice🤫
We think this is how you could land Medical Device Vision Engineer — ML & Python/AWS in Swindon
✨Tip Number 1
Network like a pro! Reach out to professionals in the medical device and computer vision fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, AWS, and any deep learning frameworks you've used. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace Medical Device Vision Engineer — ML & Python/AWS in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in computer vision, Python, and AWS. 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 the medical device industry and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your Communication Skills:Since strong communication is key for this role, make sure your application reflects that. Whether it’s through clear language in your CV or a well-structured cover letter, we want to see how you can convey complex ideas simply.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at thermofisher
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of computer vision algorithms, Python, and AWS. Be ready to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples that highlight your teamwork experience. Think about times when you successfully collaborated with others to integrate vision solutions into products.
✨Familiarise Yourself with Deep Learning Frameworks
Get comfortable discussing TensorFlow and PyTorch. Be prepared to explain how you've used these frameworks in past projects, and maybe even share insights on best practices or lessons learned.
✨Communicate Clearly and Confidently
Strong communication skills are a must for this role. Practice articulating your thoughts clearly, especially when explaining complex technical concepts. Remember, it's not just about what you know, but how you convey it!
