Solutions Engineer
3 days ago
City of London
🔥 Who We Are At ___, we relentlessly drive innovation in AI, building the world's leading ___. 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 ___ and help ___. 🌎 Location and Legalities This full-time Solutions Engineer position is based onsite in our brand-new ___ 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 ___. Key responsibilities include: • Collaborating with clients to understand their use cases and challenges, architecting end-to-end solutions using ___., • Delivering high-quality technical demos, onboarding sessions, proof-of-concepts, and workshops that demonstrate the power of ___., • Designing annotation strategies and ___ tailored to client data, goals, and deployment constraints., • Debugging client issues and delivering effective solutions with deep understanding of ___, Python, ___, 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 ___ of delivering top-tier machine learning tools and models like ___ 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 ___., • Hands-on experience with ___, ___, and classical ML/CV concepts., • Strong understanding of end-to-end ___, including data collection, preparation, ___, ___, and ___., • Experience with ___ 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 ___. Our ___ 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 ___ and our ___., • Gear: Brand-new Apple MacBook and Apple Display provided., • Team: Become part of a supportive and passionate ___. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, ___ offers an exceptional career opportunity.