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- Tasks: Architect and deploy innovative computer vision solutions using the YOLO ecosystem.
- Company: Join Ultralytics, a leader in AI innovation with a dynamic culture.
- Benefits: Competitive salary, generous time off, hybrid work model, and cutting-edge tech.
- Why this job: Make a global impact in AI while working on exciting projects.
- Qualifications: 5+ years in Computer Vision, proficiency in Python, and experience with OpenCV.
- Other info: Fast-paced environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of AI.
This full-time Solutions Engineer position is based onsite in our brand-new Ultralytics office in London, UK, with a hybrid model of 3 days in-office and 2 days remote. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
As a Solutions Engineer at Ultralytics, you will be the technical face of our organization, working directly with clients to architect and deploy computer vision solutions using the YOLO ecosystem. Your responsibilities will include:
- Delivering high-quality technical demos, onboarding sessions, proof-of-concepts, and workshops that demonstrate the power of Ultralytics tooling.
- Designing annotation strategies and model training pipelines tailored to client data, goals, and deployment constraints.
- Debugging client issues and delivering effective solutions with a deep understanding of YOLO, Python, OpenCV, and model behaviour.
- Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs.
- Acting as a strategic technical advisor to clients, shaping computer vision solutions that drive tangible business outcomes.
Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community.
Requirements:
- 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles.
- Proficiency in Python and familiarity with the YOLO ecosystem.
- Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts.
- Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment.
- Experience with Docker and comfort working across Linux, macOS, and Windows environments.
- Demonstrated ability to teach or mentor teams and developers through courses, bootcamps, workshops, or community engagement.
- Comfort leading workshops, writing technical guides, or presenting to developer audiences.
Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.
Compensation and Benefits:
- Competitive Salary: Highly competitive based on experience.
- Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.
- Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
- Flexible Hours: Tailor your working hours to suit your productivity.
- Tech: Engage with cutting-edge AI projects and our Ultralytics HUB.
- Gear: Brand-new Apple MacBook and Apple Display provided.
If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.
Technology Solutions Engineer in City of London employer: Ultralytics
Contact Detail:
Ultralytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technology Solutions Engineer in City of London
✨Tip Number 1
Get to know the company inside out! Research Ultralytics, their YOLO models, and recent projects. This will help you tailor your conversations and show genuine interest during interviews.
✨Tip Number 2
Practice your technical demos and problem-solving skills. Be ready to showcase your expertise in Python, OpenCV, and the YOLO ecosystem. We want to see how you can apply your knowledge in real-world scenarios!
✨Tip Number 3
Network with current employees or industry professionals. Reach out on LinkedIn or attend relevant meetups. Building connections can give you insights into the company culture and potentially lead to referrals.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the Ultralytics team and contributing to our mission in AI.
We think you need these skills to ace Technology Solutions Engineer in City of London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see how obsessed you are with the field and what drives you to make a global impact. Share any personal projects or experiences that highlight your passion.
Tailor Your Application: Make sure to customise your application to fit the role of Technology Solutions Engineer. Highlight your experience with YOLO, Python, and OpenCV, and explain how your skills align with our mission at Ultralytics. A tailored application shows us you’re serious about joining our team!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your experience and skills. We appreciate well-structured applications that make it easy for us to see why you’d be a great fit for the role.
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 position. Plus, it gives you a chance to explore more about Ultralytics and what we stand for.
How to prepare for a job interview at Ultralytics
✨Know Your Tech Inside Out
Make sure you’re well-versed in the YOLO ecosystem, Python, and OpenCV. Brush up on your knowledge of model lifecycles and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've debugged client issues or delivered effective solutions. Highlight your experience with technical demos and workshops, as this will demonstrate your ability to communicate complex ideas clearly.
✨Understand Ultralytics' Mission
Familiarise yourself with Ultralytics’ goals and values. Be ready to discuss how your passion for AI aligns with their mission to drive innovation and deliver top-tier machine learning tools.
✨Engage in Technical Discovery
Be prepared to participate in mock technical discovery calls during the interview. This will showcase your ability to act as a strategic advisor and help shape proposals that meet client needs effectively.