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- Tasks: Build machine learning systems and image processing pipelines remotely.
- Company: Leading IT recruitment company partnering with a major pharmaceutical firm.
- Benefits: Long-term contract, flexible remote work, and competitive pay.
- Why this job: Join a cutting-edge project in the pharmaceutical industry and enhance your ML skills.
- Qualifications: Strong computer vision skills and experience with AWS, PyTorch, or TensorFlow.
- Other info: Exciting opportunity for career growth in a dynamic field.
The predicted salary is between 36000 - 60000 £ per year.
A leading IT recruitment company is offering a fantastic opportunity for an ML Engineer to work remotely for a major pharmaceutical company. The role involves building machine learning systems and processing pipelines for image data.
Ideal candidates will have strong skills in computer vision as well as experience with AWS and frameworks like PyTorch and TensorFlow. This is a long-term contract position outside IR35.
Remote ML Engineer - Vision, Pipelines & AWS 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 Remote ML Engineer - Vision, Pipelines & AWS in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the ML and computer vision space 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 with PyTorch, TensorFlow, and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of machine learning algorithms and image processing techniques. Practice coding challenges related to these topics to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Remote ML Engineer - Vision, Pipelines & AWS in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, computer vision, 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 this role and how your background makes you a perfect fit. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills: Since this role involves working with frameworks like PyTorch and TensorFlow, make sure to mention any specific projects or experiences where you’ve used these tools. We’re keen to see your technical prowess in action!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at The Bridge IT Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, PyTorch, and TensorFlow. Brush up on your knowledge of machine learning systems and image processing pipelines, as you might be asked to discuss specific projects or challenges you've faced.
✨Showcase Your Projects
Prepare to talk about your previous work with computer vision and any relevant projects. Bring examples that highlight your problem-solving skills and how you’ve successfully implemented ML solutions. If possible, have a portfolio ready to share during the interview.
✨Understand the Pharmaceutical Context
Since this role is for a major pharmaceutical company, it’s beneficial to understand how machine learning is applied in this industry. Familiarise yourself with common use cases, such as drug discovery or medical imaging, to demonstrate your interest and relevance to the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation with your interviewers.