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- Tasks: Build ML systems and processing pipelines for image data using cutting-edge technologies.
- Company: Major pharmaceutical company offering remote work opportunities.
- Benefits: Long-term contract, outside IR35, with competitive pay.
- Why this job: Join a dynamic team and make an impact in the healthcare industry.
- Qualifications: Experience in ML, computer vision, and frameworks like AWS, PyTorch, TensorFlow, or JAX.
- Other info: Flexible remote work with potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
This is a fantastic opportunity to work as an ML Engineer on a remote basis, outside IR35, for a major pharmaceutical company.
Key Skills:
- Building ML systems
- Computer Vision
- Building processing pipelines for image data
- AWS
- PyTorch, TensorFlow, JAX
If you do have the relevant experience for this long term remote contract ML Engineer role, outside IR35, please do apply.
ML Engineer - Image - Remote - Outside IR35 in City of London employer: The Bridge IT Recruitment
Contact Detail:
The Bridge IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer - Image - Remote - Outside IR35 in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in ML or at the company you're eyeing. A friendly chat can sometimes lead to opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving computer vision and ML systems. 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. Be ready to discuss your experience with AWS, PyTorch, and TensorFlow. Practising common ML interview questions can help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about landing that ML Engineer gig with us!
We think you need these skills to ace ML Engineer - Image - Remote - Outside IR35 in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML systems and computer vision. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background in building processing pipelines for image data makes you a perfect fit for us.
Showcase Your Technical Skills: Don’t forget to mention your experience with AWS, PyTorch, TensorFlow, and JAX. We love seeing specific examples of how you’ve used these tools in your previous work, so get into the details!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at The Bridge IT Recruitment
✨Know Your ML Basics
Brush up on your machine learning fundamentals, especially around computer vision. Be ready to discuss how you’ve built ML systems in the past and the specific challenges you faced. This will show your depth of knowledge and practical experience.
✨Showcase Your Projects
Prepare to talk about your previous projects involving image data processing. Highlight the tools you used, like PyTorch or TensorFlow, and explain your thought process in building those processing pipelines. Real-world examples can make a big impact!
✨Familiarise with AWS
Since the role mentions AWS, make sure you understand how to deploy ML models using this platform. If you have experience with AWS services related to machine learning, be ready to share that. It’ll demonstrate your ability to work in a cloud environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s current projects or their approach to ML in the pharmaceutical sector. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.