At a Glance
- Tasks: Lead the development of cutting-edge computer vision models for real-world retail applications.
- Company: Join a leading tech company focused on innovative AI solutions.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on diversity and equal opportunity.
- Why this job: Make a real impact by advancing AI technology in the retail sector.
- Qualifications: PhD in Computer Vision or related field, with strong Python and model deployment skills.
The predicted salary is between 36000 - 60000 £ per year.
We're seeking an experienced Machine Learning Engineer specialising in Computer Vision to help scale our clients' vision AI product into a high-performing, reliable, production-ready platform.
The role:
- Lead CV Model Development — Design, train, and optimise detection, recognition, segmentation, and tracking models, balancing accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation.
- Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases.
- Deliver Proven Solutions — Experiment rapidly using PyTorch. Contribute to benchmarking and ongoing improvements.
- Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals.
- Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation.
Requirements:
- PhD (or equivalent) in Computer Vision, Machine Learning, or related field.
- Proven record deploying large-scale CV models in production.
- Strong Python skills with PyTorch or TensorFlow expertise.
This is an excellent opportunity for an experienced Machine Learning Engineer to join a leading company that is driven towards success!
Machine Learning Engineer - Computer Vision in London employer: Addition+
Join a forward-thinking company that prioritises innovation and collaboration, offering a dynamic work culture where your expertise in Machine Learning and Computer Vision will directly impact the development of cutting-edge AI solutions for the retail sector. With a strong commitment to employee growth, we provide ample opportunities for professional development and encourage a diverse and inclusive environment that values every team member's contributions. Located in a vibrant area, our office fosters creativity and teamwork, making it an ideal place for passionate individuals looking to make a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Computer Vision in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other 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 when you apply through our website; it’ll give you an edge over the competition.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t just apply and wait! Follow up on your applications through our website. A quick email expressing your enthusiasm can make a big difference and show that you’re genuinely interested in the role.
We think you need these skills to ace Machine Learning Engineer - Computer Vision in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Computer Vision and Machine Learning. 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 the perfect fit. We love seeing enthusiasm and a personal touch.
Showcase Your Technical Skills:Since we’re looking for someone with strong Python skills and experience with 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:Don’t forget to apply 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 Addition+
✨Know Your Models Inside Out
Make sure you can discuss the models you've worked on in detail. Be prepared to explain how you designed, trained, and optimised them, especially in terms of accuracy and speed for real-world applications. This shows your depth of knowledge and practical experience.
✨Showcase Your Coding Skills
Since strong Python skills are a must, brush up on your coding abilities, particularly with PyTorch or TensorFlow. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning and computer vision to demonstrate your expertise.
✨Prepare for Collaboration Questions
Expect questions about how you’ve collaborated with cross-functional teams in the past. Think of specific examples where you worked with product, infrastructure, or customer teams to integrate models into workflows. Highlight your communication skills and ability to align technical solutions with business goals.
✨Discuss Data Quality and MLOps
Be ready to talk about how you maintain high data quality standards and your experience with MLOps. Share any automation systems you've developed for deployment and experimentation, as this will show your commitment to delivering proven solutions in a scalable manner.
