At a Glance
- Tasks: Design, train, and deploy cutting-edge computer vision models in real-world applications.
- Company: Join a dynamic engineering team in a thriving tech environment.
- Benefits: Competitive salary up to £160,000, flexible work options, and career growth.
- Other info: Collaborate with experts and tackle exciting challenges in a supportive team.
- Why this job: Make an impact by transforming research into real-world machine learning solutions.
- Qualifications: Degree from a top university and 2+ years in Machine Learning or Computer Vision.
The predicted salary is between 160000 - 160000 £ per year.
Location: Cambridge
Salary: Up to £160,000 (DOE)
We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts.
The Role
You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects.
Requirements
- A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline
- At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role
- Strong Python programming skills
- Experience with PyTorch, TensorFlow, or similar machine learning frameworks
- Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking
- Experience working with real-world datasets and deploying models into production environments
- Strong communication skills and the ability to work within a multidisciplinary team
If this role is of interest, please apply below.
Machine Learning Engineer (Computer Vision) in Cambridge employer: Platform Recruitment
Join a dynamic and innovative team in Cambridge, where we prioritise employee growth and collaboration. As a Machine Learning Engineer, you'll benefit from a supportive work culture that encourages continuous learning and offers competitive salaries, alongside opportunities to work on cutting-edge projects in computer vision. Our commitment to fostering a diverse and inclusive environment ensures that every voice is heard, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (Computer Vision) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning Engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving computer vision. Share your GitHub link or any relevant demos during interviews to impress potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with frameworks like PyTorch and TensorFlow. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t just apply anywhere; focus on companies that align with your interests in machine learning and computer vision. Use our website to find roles that excite you and tailor your approach to each application!
We think you need these skills to ace Machine Learning Engineer (Computer Vision) in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Machine Learning and Computer Vision. 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 bit of personality!
Showcase Your Technical Skills:Since we’re looking for someone with strong Python skills and experience with frameworks like PyTorch or TensorFlow, make sure to mention specific projects where you’ve used these technologies. We want to know what you can bring to the table!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Platform Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and the machine learning frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects where you've developed computer vision models, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, especially when it comes to deploying models in real-world environments. Use examples that highlight your ability to evaluate model performance and make technical decisions.
✨Communicate Clearly
Since you'll be working with engineers, data scientists, and domain experts, practice explaining complex concepts in simple terms. This will demonstrate your strong communication skills and your ability to collaborate within a multidisciplinary team.
✨Research the Company and Role
Familiarise yourself with the company's projects and values. Understanding their approach to machine learning and computer vision will help you tailor your answers and show genuine interest in the role.
