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- Tasks: Develop and optimise machine learning models for real-world imaging challenges.
- Company: Join a well-backed start-up with a mission that makes a global impact.
- Benefits: Remote work, competitive salary up to £85k, and opportunities for professional growth.
- Why this job: Be at the forefront of technology, solving impactful problems with cutting-edge tools.
- Qualifications: Experience in computer vision, Python, PyTorch, and delivering practical ML solutions.
- Other info: Dynamic remote environment with occasional travel and excellent career advancement potential.
The predicted salary is between 43200 - 68000 £ per year.
We’re on the lookout for an experienced Machine Learning Engineer to take ownership of computer vision and imaging projects within a well backed start-up whose mission has real world impact with global reach. This is a hands-on role where you’ll work across the full ML lifecycle, from research and prototyping through to deployment in production, developing and optimising models that are already having huge benefit to people.
What you’ll be working on:
- Building and refining models for image classification, semantic segmentation, keypoint detection, and regression tasks.
- Applying your expertise in Python, PyTorch, and OpenCV to solve real-world imaging challenges.
- Optimising off-the-shelf models with proprietary datasets.
- Removing shadows, adjusting white balance, and improving accuracy in colour-based detections.
- Integrating ML models into mobile applications, supporting cross-platform deployment.
Must-have experience:
- Strong background in Computer Vision, Machine Learning, and Deep Learning.
- Commercial experience with Python, PyTorch, and OpenCV in production environments.
- Proven track record delivering practical ML solutions to real-world problems.
- Knowledge of data augmentation, custom architecture design, and traditional CV algorithms.
Nice-to-have experience:
- TensorFlow, TFLite, ONNX, and/or React Native.
- Model optimisation for mobile or embedded devices.
Location: remote (occasional travel)
Salary: up to £80k
Machine Learning Engineer employer: TechShack
Contact Detail:
TechShack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨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 Python, PyTorch, and OpenCV. 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 ML concepts and coding skills. Practice common interview questions and work on real-world problems to demonstrate your expertise during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you a better chance of landing that dream job.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, PyTorch, and OpenCV. We want to see how you've tackled real-world problems in computer vision, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for machine learning and how you can contribute to our mission. We love hearing about your hands-on experiences and any cool projects you've worked on.
Showcase Your Projects: If you've got a portfolio or GitHub with relevant projects, include it! We’re keen to see your work on image classification, model optimisation, or anything that demonstrates your skills in action.
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 updates from our team!
How to prepare for a job interview at TechShack
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, PyTorch, and OpenCV. Be ready to discuss specific projects where you've applied these technologies, especially in computer vision tasks like image classification or keypoint detection.
✨Showcase Real-World Impact
Prepare examples of how your work has solved real-world problems. Highlight any projects where your machine learning solutions made a tangible difference, as this aligns with the company's mission of having a global impact.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach optimising models or integrating ML into mobile applications, and articulate your thought process clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their mission effectively.
