Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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, hybrid work model, generous time off, and cutting-edge tech.
- Why this job: Make a real impact in AI while working on exciting projects.
- Qualifications: 5+ years in Computer Vision, proficiency in Python, and experience with YOLO.
- 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.
Flexible Solutions Engineer in City of London employer: Ultralytics
Contact Detail:
Ultralytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Flexible Solutions Engineer in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and computer vision space. Attend meetups, webinars, or even just chat with folks on LinkedIn. You never know who might have the inside scoop on job openings at Ultralytics!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to YOLO, Python, and OpenCV. This is your chance to demonstrate your expertise and passion for AI. Make sure to highlight any workshops or mentoring you've done too!
✨Tip Number 3
Prepare for those technical interviews! Brush up on your knowledge of model lifecycles and be ready to discuss how you would approach client problems. Practice explaining complex concepts in simple terms – it’s all about making that connection with the interviewer.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Ultralytics team. Don’t forget to tailor your application to highlight your fit for the Solutions Engineer role!
We think you need these skills to ace Flexible 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 Solutions Engineer role. 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 YOLO
Make sure you brush up on your knowledge of the YOLO ecosystem. Be prepared to discuss how you've used YOLO in past projects, and think about specific examples where you've implemented computer vision solutions. This will show your passion for AI and your technical expertise.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or real-world problems related to computer vision. Think through your approach to debugging client issues or designing model training pipelines. This will demonstrate your strategic thinking and ability to deliver effective solutions.
✨Engage with Technical Demos
Since you'll be delivering demos and workshops, practice explaining complex concepts in a simple way. Prepare a mini-demo or presentation that showcases your skills in Python, OpenCV, or any relevant tools. This will highlight your ability to communicate effectively with clients and colleagues.
✨Emphasise Your Mentorship Experience
Ultralytics values individuals who can teach and mentor others. Share examples of how you've led workshops or guided teams in the past. Highlight your experience in community engagement or creating technical guides, as this will align with their mission of driving innovation in AI.