{"id":1028670,"url":"https://alion.io/job/ultralytics-solutions-engineer-2","title":"Solutions Engineer","company":{"id":7376,"name":"Ultralytics","domain":"ultralytics.com","url":"https://alion.io/company/ultralytics","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":179000,"period":"year","method":"role_country_seniority_unknown","sample_n":204},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"Ultralytics","optional":false},{"name":"Windows","optional":false},{"name":"YOLO","optional":false},{"name":"Anthropic","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Edge AI","optional":true},{"name":"GCP","optional":true},{"name":"Kubernetes","optional":true},{"name":"ONNX","optional":true},{"name":"OpenAI","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-09-18T09:55:07Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-12T07:23:59Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"About Ultralytics:\nAt Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.\nJoin the team powering the future of vision AI\nHello, hola, 你好, こんにちは, नमस्ते, hallo, bonjour! Thanks for stopping by - we know your time is valuable, so here's what makes Ultralytics special.\nWho we are\nAt Ultralytics, we're on a mission to simplify AI for everyone. As the linkcreators of the world's leading Ultralytics YOLO models, we empower millions of developers, researchers, and companies worldwide to build state-of-the-art computer vision applications.\nFollowing our $30M Series A round, we're expanding rapidly across our global hubs. This is an opportunity to join a fast-scaling, high-performance team that's redefining the future of vision AI - where ambition meets impact, and ideas become reality.\nWe move fast. We build boldly. We execute with purpose. And we do it together.\nAbout the role\nAs a Solutions Engineer, you'll turn complex computer vision problems into production systems built on YOLO. You'll lead technical discovery, design architectures, build benchmarks and proof-of-concepts, and guide customers from their first conversation to deployed models.\nYou'll work across Sales, Customer Success, Product, and Engineering while partnering directly with customers in manufacturing, retail, security, robotics, and beyond. This is a hands-on role for an engineer who enjoys writing Python, training and optimizing models, deploying across cloud and edge, and owning outcomes throughout the customer lifecycle.\nIf you thrive on ambiguous problems, direct customer contact, and turning technical possibilities into measurable results, you'll fit right in.\nWhat you'll do\nTechnical discovery and solution design\nOwn technical discovery, translate customer needs into architectures, and define measurable success criteria.\n\nEvaluate customer data, recommend models, and design training, inference, and deployment strategies.\n\nLead technical qualification and solution design alongside Account Executives and Customer Success Managers.\n\nPrototyping and deployment\nBuild Python prototypes with YOLO, OpenCV, PyTorch, and Docker.\n\nCreate benchmarks, integrations, and production-ready training and deployment workflows.\n\nDeploy solutions across Linux, macOS, Windows, cloud, and edge environments.\n\nDiagnose performance, data quality, inference, and hardware acceleration challenges.\n\nUse the Ultralytics documentation and YOLO guides to deliver reliable customer outcomes.\n\nCustomer engagement and enablement\nDeliver technical demos, workshops, architecture reviews, and proof-of-concepts that move opportunities forward.\n\nExplain machine learning clearly to engineers, operators, executives, and other non-technical audiences.\n\nBuild trusted relationships and manage technical stakeholders from evaluation through production.\n\nEcosystem contribution\nTurn customer solutions into reusable examples, deployment guides, integrations, and documentation.\n\nShare feedback with Product and Engineering to improve the YOLO ecosystem.\n\nEngage developers through the Ultralytics community and GitHub organization.\n\nWhat success looks like\n3 months: Ramped on the YOLO stack and customers, co-running discovery, and delivering your first demos and project kickoffs.\n\n6 months: Owning technical discovery and POCs end to end, unblocking live deals or at-risk accounts, and earning trust from the AEs and CSMs you support.\n\n9 months: Converting technical evaluations into wins or saves, shipping reusable assets, and providing actionable feedback to the wider organization.\n\n12 months: Becoming the technical partner AEs and CSMs want on their biggest accounts, with POCs that convert and referenceable customer deployments.\n\nSkills and experience\nCore requirements\nStrong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision.\n\nExperience training, optimizing, evaluating, and deploying machine learning models.\n\nComfortable with Docker, Git, REST APIs, Linux, cloud platforms, and edge workflows.\n\nExperience deploying across Linux, macOS, and Windows environments.\n\nProven ability to deliver technical demos, workshops, architecture reviews, and POCs.\n\nStrong communication skills with both technical and executive audiences.\n\nIndependent ownership, urgency, resilience, and results in a high-performance startup environment.\n\nPassion for AI, open source, and helping customers achieve real outcomes.\n\nNice to have\nKubernetes, CUDA, TensorRT, ONNX, Jetson, or other edge accelerators.\n\nExperience with MLOps, model monitoring, CI/CD, or observability.\n\nFamiliarity with AWS, Azure, GCP, serverless systems, or managed inference platforms.\n\nExperience integrating OpenAI or Anthropic APIs into customer tools.\n\nOpen-source contributions or experience supporting developer communities.\n\nKnowledge of Ultralytics YOLO workflows and production computer vision solutions.\n\nWhy this role\nReal impact: Your solutions will power vision AI in production across systems used by millions of devices.\n\nDemand you don't have to manufacture: YOLO is the world's most popular computer vision model, and customers already come to us looking to do more with it.\n\nBuild at the source: Work directly on top of the YOLO ecosystem with clear lines to Product and Engineering.\n\nA team that ships: Join a fast-moving, high-standard team that values results over routine.\n\nCustomer ownership: Stay involved beyond the demo and see your technical work reach production.\n\nWhat this isn't\nThis isn't a slideware Solutions Engineer role. You won't hand off after the demo or hide behind a deck - you'll build the solution, get it deployed, and own the technical outcome throughout the client lifecycle.\nCultural fit\nAt Ultralytics, we set bold goals and execute with speed, precision, and teamwork. We're driven by hard work, ambition, and resilience - building fast, learning constantly, and delivering measurable impact.\nYou'll thrive here if you:\nTake ownership and deliver results with focus and accountability.\n\nCombine strategic thinking with hands-on execution.\n\nValue excellence, grit, and creativity in equal measure.\n\nSee collaboration as the foundation for meaningful progress.\n\nCompensation and benefits\nWe reward excellence and impact - not just tenure or title.\nCompetitive compensation: Competitive compensation packages\n\nOn-site collaboration: Work with passionate builders in one of our global hubs (London).\n\nFlexible working hours: We value results over routines.\n\nGenerous time off: 24 vacation days, your birthday off, plus local holidays.\n\nTech & tools: Work on cutting-edge AI projects that power millions of devices.\n\nGear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.\n\nLearning & development: Dedicated budget for personal and professional growth.\n\nHigh impact: Your work will shape the future of vision AI.\n\n Check out Ultralytics careers and our office locations to learn more about our culture, values, and teams.\nWhere and how you can work\nWe believe great work happens where passion meets purpose.\nThis is a full-time, on-site role based in London, UK.\n\nApplicants must have legal authorization to work in the country of application.\n\nYou will report to the Head of Customer Success and Implementation.\n\nWhat we offer:\nCutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework.\nImpactful Work: Shape the future of AI-powered solutions that transform industries.\nCollaborative Culture: Join a talented and passionate team that values open communication and innovation.\nUltralytics Handbook\nComprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.\nLink: https://handbook.ultralytics.com/\nUltralytics is an equal opportunity employer committed to building an inclusive workplace. 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