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For Companies At a Glance
- Tasks: Work with clients to create and deploy innovative AI solutions using YOLO models.
- Company: Join Ultralytics, a leader in AI innovation, shaping the future of computer vision.
- Benefits: Enjoy hybrid work, competitive salary, generous time off, and cutting-edge tech.
- Why this job: Be part of a high-energy team dedicated to making a global impact in AI.
- Qualifications: 5+ years in Computer Vision or Machine Learning; strong Python skills required.
- Other info: This role demands passion and commitment; it's not your typical 9-5 job.
The predicted salary is between 43200 - 72000 £ per year.
Who We Are
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.
Location and Legalities
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.
What You'll Do
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. Key responsibilities include:
- Collaborating with clients to understand their use cases and challenges, architecting end-to-end solutions using YOLO models.
- 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 deep understanding of YOLO, Python, OpenCV, and model behavior.
- Supporting pre-sales efforts by participating in technical discovery calls and helping shape proposals and SLAs.
- Serving as a key technical advisor during customer engagements, ensuring successful integration and continued satisfaction.
- Interfacing with Sales, Marketing, Engineering, and Product teams to advocate for customer needs and influence roadmap priorities.
- Acting as a strategic technical advisor to clients, shaping computer vision solutions that drive tangible business outcomes.
- Representing Ultralytics at conferences, webinars, and customer events while contributing to technical blog posts and educational materials.
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.
Skills and Experience
- 5+ years of experience in Computer Vision, Machine Learning, or applied AI roles.
- Excellent client-facing skills: patient, resilient, and able to communicate clearly with technical and non-technical stakeholders.
- 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.
Cultural Fit - Intensity Required
Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. 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.
- Startup Equity: Participate directly in Ultralytics growth and success.
- 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.
- Team: Become part of a supportive and passionate team environment.
If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.
Solutions Engineer employer: Ultralytics
Contact Detail:
Ultralytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer
✨Tip Number 1
Familiarise yourself with the YOLO ecosystem and its applications in computer vision. Understanding how YOLO models work and their deployment will give you a significant edge during interviews, as you'll be able to discuss real-world use cases confidently.
✨Tip Number 2
Showcase your client-facing skills by preparing examples of how you've successfully communicated complex technical concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and non-technical teams, which is crucial for a Solutions Engineer role.
✨Tip Number 3
Engage with the AI and machine learning community by attending relevant conferences, webinars, or workshops. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals or recommendations for the position.
✨Tip Number 4
Prepare to discuss your experience with Docker and various operating systems like Linux, macOS, and Windows. Being able to articulate your hands-on experience with these tools will show that you're well-equipped to handle the technical demands of the role.
We think you need these skills to ace Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Computer Vision, Machine Learning, and AI. Emphasise your proficiency in Python and any hands-on experience with YOLO, OpenCV, and Docker.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of Ultralytics' mission. Mention specific projects or experiences that demonstrate your ability to deliver technical solutions and work with clients.
Showcase Your Technical Skills: In your application, include examples of your technical expertise, such as successful projects involving model lifecycles, data preparation, and deployment. Highlight any experience leading workshops or mentoring others.
Demonstrate Cultural Fit: Ultralytics values intensity and dedication. In your application, convey your commitment to excellence and your readiness to thrive in a high-performance environment. Share examples of how you've achieved ambitious goals in the past.
How to prepare for a job interview at Ultralytics
✨Showcase Your Technical Expertise
As a Solutions Engineer, you'll need to demonstrate your deep understanding of computer vision and the YOLO ecosystem. Be prepared to discuss your hands-on experience with Python, OpenCV, and any relevant projects you've worked on that highlight your technical skills.
✨Prepare for Client-Facing Scenarios
Since this role involves direct interaction with clients, practice articulating complex technical concepts in a clear and relatable manner. Think of examples where you've successfully communicated with both technical and non-technical stakeholders.
✨Demonstrate Problem-Solving Skills
Ultralytics values candidates who can effectively debug issues and deliver solutions. Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them, particularly in relation to model lifecycles and deployment.
✨Emphasise Cultural Fit
Ultralytics is looking for individuals who thrive in a high-performance environment. Be ready to share examples of how you've demonstrated dedication, ownership, and a relentless pursuit of excellence in your past experiences.
