Motion

PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER JOIN OUR TEAM AT HAWK-EYE INNOVATIONS Value Stream: Innovation Hub Location: Hybrid working – minimum 2 days per week in the office Office: London, Basingstoke and Bristol Contract: Permanent, Full-Time Salary: £76,340 – £109,060 per annum JOIN OUR TEAM AS A PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER AT HAWK-EYE INNOVATIONS We're looking for an exceptional Principal Computer Vision / Machine Learning Engineer to join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera systems to deploying advanced algorithms onto embedded hardware, you'll play a key role in developing solutions that power world-leading tracking technology used across global sport. If you enjoy solving complex engineering challenges, influencing technical direction and building production-ready computer vision systems, we'd love to hear from you. WHAT YOUR DAY WILL LOOK LIKE As a Principal Computer Vision / Machine Learning Engineer, you'll play a key role in developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. You'll collaborate with software engineers, machine learning specialists and product teams to solve complex technical challenges, helping bring advanced tracking technology into a wider range of sporting environments. APPLIED COMPUTER VISION * Design and develop algorithms that reconstruct accurate 3D positional and trajectory data from 2D detections, applying mathematical and physical modelling of motion, projectiles and object interaction. COMPUTER VISION SYSTEMS * Design and build computer vision components supporting detection, tracking and calibration workflows across multiple sports. CALIBRATION & VALIDATION * Contribute to calibration systems, handling coverage gaps and validating reconstructed trajectories against real-world scenarios. EMBEDDED DEPLOYMENT * Support the optimisation and deployment of algorithms onto embedded NVIDIA Jetson hardware, helping deliver efficient real-time performance on edge devices. MACHINE LEARNING COLLABORATION * Work alongside our dedicated Machine Learning discipline, leveraging existing detection models where appropriate while owning the Computer Vision and applied modelling layer built on top of them. TECHNICAL LEADERSHIP * Influence algorithm design, technical architecture and data pipeline decisions within a fast-moving product team while providing technical guidance across complex engineering challenges. CROSS-FUNCTIONAL COLLABORATION * Partner with data platform, backend and frontend engineers to define data requirements, representative datasets and reliable production outputs. QUALITY & RELIABILITY * Help ensure tracking outputs remain accurate and reliable across challenging real-world environments where conditions can vary significantly. WHAT WE VALUE At Hawk-Eye, we thrive on solving difficult engineering problems through innovation, collaboration and technical excellence. As a Principal Engineer, you'll remain hands-on while influencing the technical direction of our products. You'll work alongside highly skilled engineers across Computer Vision, Machine Learning and Software Engineering to develop innovative solutions that continue to push the boundaries of sports technology. We're looking for someone who enjoys solving complex technical challenges, embraces ambiguity and wants to make a lasting impact through technical leadership and engineering excellence. SKILLS, KNOWLEDGE, AND EXPERTISE We're looking for someone with: * Extensive commercial experience in Computer Vision with a strong grounding in applied mathematics and physical modelling. * Expertise in trajectory estimation, motion reconstruction, projectile physics or similar 2D-to-3D reconstruction problems. * Experience designing Computer Vision algorithms for detection, tracking, calibration or reconstruction systems. * Experience working with camera-based data sources, tracking pipelines or spatial and temporal datasets. * Strong C++ development experience. * Python experience for prototyping, experimentation or tooling would be advantageous. * Experience deploying or optimising algorithms for embedded or edge GPU hardware, particularly NVIDIA Jetson, is highly desirable. * Working knowledge of Machine Learning techniques is beneficial; however, this role is primarily Computer Vision and applied modelling focused rather than Machine Learning research focused. * Comfortable working with ambiguity and evolving requirements within a fast-paced, product-focused engineering environment. * Excellent communication skills with the ability to collaborate across Computer Vision, Machine Learning, backend, frontend and data platform teams. * Experience influencing technical direction and contributing to architecture decisions. WHAT THIS ROLE IS NOT To help set expectations, it's important to understand what this role focuses on: * This is not a pure Machine Learning research role. The emphasis is on applied Computer Vision, mathematical modelling and delivering production-ready solutions rather than researching or training novel Machine Learning models. * This is not a Data Engineering role. You'll be responsible for producing high-quality model outputs, while separate teams own data storage, transformation, APIs and wider platform services. * This is not a people management role by default. As a Principal Engineer, you'll provide technical leadership, influence engineering decisions and mentor through technical expertise. Depending on the team structure, there may be opportunities to lead a squad or technical discipline, but direct line management is not a core responsibility. REWARD, BENEFITS, AND WELLNESS We offer a comprehensive package to support your growth and well-being. UNITED KINGDOM * Annual Leave: 25 days (excluding bank holidays). * Enhanced Pension Scheme: 5% matching. * Flexible Working: Hybrid model (minimum 2 days in the office per week). * Wellness: Complimentary Unmind app and onsite gym (Basingstoke). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. HUNGARY * Annual Leave: Standard according to local labour law. * Flexible Working: Hybrid model (2 days in our office per week). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. * Additional Benefits: Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), private medical insurance, life & accident insurance, MindentMent Dental Clinic discounts, seniority awards, and an Employee Assistance Program. ABOUT US Hawk-Eye Innovations, part of Sony Sports Technology, is a world leader in sports technology. We deliver sophisticated officiating, broadcast and player tracking solutions across more than 25 international sports. Every year, our technology supports over 30,000 sporting events across more than 500 stadiums in 90 countries. Our Innovation Hub focuses on solving the next generation of technical challenges, developing cutting-edge Computer Vision and Machine Learning solutions that continue to redefine what's possible in sports technology. EQUAL OPPORTUNITY STATEMENT As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a workforce that is diverse, inclusive and representative of the communities we serve. Sony Sports Technology is an equal opportunity employer and welcomes applications from people of all backgrounds and experiences. We recruit, retain, develop and promote people based on their skills, qualifications and experience. Our commitment is to provide a respectful, inclusive environment where everyone has the opportunity to contribute, grow and succeed. APPLY TODAY Join Hawk-Eye Innovations and help shape the future of sports technology. As a Principal Computer Vision / Machine Learning Engineer, you'll work on some of the most technically challenging problems in Computer Vision, applied mathematics and real-time tracking, helping build the next generation of world-leading sports technology.

Who we are Sapien is rethinking how finance teams operate in the age of AI. We’re building toward an autonomous CFO—systems that run company financials end-to-end. Our platform analyzes complex financial data in real time to increase decision cadence, prevent costly mistakes, and surface value. Sapien has caught multi-million-dollar errors, saved thousands of jobs, and returned significant dollars to customers’ bottom lines. We partner with traditional businesses—manufacturing, healthcare, restaurants, and large enterprises—to deeply understand and automate their financial workflows. We’re HQ’d by Madison Square Park in NYC and backed by General Catalyst, Neo, and top operators from Google, OpenAI, Microsoft, Ramp, and Stripe (over $9M raised). THE ROLE We're hiring a Founding Growth hire to build the machine behind Sapien's go-to-market. While our BDR owns conversations, you own the system: the infrastructure, automation, channels, and experiments that make every part of our GTM motion faster, smarter, and more repeatable. This is a builder's seat, not an operator-of-someone-else's-playbook seat. You'll stand up the growth stack from scratch, run experiments across channels, and flex into whatever the company needs next, from marketing support to ops projects to founder-led initiatives. You'll work directly with the founders and sales team, and as we scale, this role becomes the foundation for growth, marketing ops, or RevOps leadership. WHAT YOU'LL DO Growth Infrastructure * Build and own the growth stack: CRM architecture, enrichment, automation, lead routing, dashboards, and reporting. Clean data, clear pipeline visibility, no leaks. * Engineer leverage with AI: automated research, personalization at scale, workflow agents. If a task is repeatable, you systematize it. * Define the metrics that matter and make them visible: funnel conversion, channel performance, pipeline health. Channels & Experimentation * Run structured experiments across channels: outbound systems, paid, content distribution, events, partnerships. Measure what works, kill what doesn't, double down fast. * Support marketing execution: landing pages, campaigns, email programs, and the distribution behind our content and narrative. * Build repeatable playbooks from what wins, so every successful experiment becomes a permanent channel. Growth & Ops Flex * Partner with the founders on high-priority initiatives across GTM, ops, and strategy. You're the utility player who makes things happen. * Support sales and deployments with research, tooling, and process improvements wherever there's leverage. * Feed structured signal back to leadership: which channels are working, where CAC is trending, and where the next opportunity is. What we're looking for * Builder mentality. You'd rather design the system than run someone else's playbook. You see gaps and fill them without being asked. * 2–4+ years of experience in growth, RevOps, consulting, banking, or early-stage startups. You've built systems that other people rely on. * Process-obsessed & technically fluent. You build clean systems — CRM hygiene, dashboards, documented workflows. You don't let things slip through cracks. You don't need engineering to ship most of what you build. * AI-native. You use AI tools daily and you're energized by what's possible. You'll be expected to leverage AI across your workflows. * High agency. You operate with speed and urgency in ambiguous environments. You don't wait for permission — you identify what's next and do it. HOW YOU WORK (VALUES WE CARE ABOUT) * AI-native. You’re energized by applying AI to transform how businesses run. * Ambiguity-shaping. You turn nebulous problems into a first pass and drive to resolution. * Extreme ownership. You identify what’s next—and do it. If you say it, it gets done. * Speed & hustle. You bias to action and move with urgency without sacrificing quality.

Beskrivning Vår klient i Västerås söker tre ingenjörer till sin avdelning för R&D inom avancerad mekatronik och rörelsekontroll. Två av tjänsterna riktar sig till kandidater med erfarenhet av programmering i C/C++, MATLAB eller Python, medan den tredje tjänsten är inriktad mot en mer senior profil som Full Stack-utvecklare i en C# .NET-miljö. Beroende på erfarenhet och kompetens är både juniora och seniora kandidater av intresse. Som Motion Control Engineer kommer du att arbeta i en högteknologisk R&D-miljö med fokus på avancerade mekatroniska system och rörelseteknik, där du utvecklar, optimerar och underhåller mjukvarulösningar inom området. Arbetsuppgifter I rollen ansvarar du för att utveckla och optimera mjukvarulösningar för rörelsekontroll, delta i systemdesign och testning samt bidra till förbättrad prestanda i avancerade mekatroniska system. Du kommer att arbeta nära andra R&D-team och delta i projekt som kräver samarbete över funktionella gränser. Kvalifikationer Civilingenjörsexamen eller master inom Robotik, Mekatronik, Datavetenskap, Teknisk Fysik, Reglerteknik eller liknande område Erfarenhet av realtidssystem och inbyggda system Starka analytiska och problemlösande färdigheter God kommunikationsförmåga och vana att arbeta i team Flytande engelska i tal och skrift Meriterande kvalifikationer Kunskaper i svenska språket Erfarenhet av C/C++, MATLAB, Python eller C# .NET Villkor Tjänsten är på plats i Västerås med 0% distansarbete. Uppdraget sträcker sig från den 2 mars 2026 till den 1 mars 2027. Om du är redo att ta dig an en roll som Motion Control Engineer och bidra till utvecklingen av avancerade mekatroniska system, tveka inte att söka. Vi rekryterar kontinuerligt och ser fram emot din ansökan! Observera att vi inte tar emot ansökningar via e-post på grund av GDPR. För att din ansökan ska kunna behandlas ber vi dig därför att skicka in den via vår karriärsida

WHO WE ARE Sapien is rethinking how finance teams operate in the age of AI. We’re building toward an autonomous CFO -- systems that run company financials end-to-end. Our platform analyzes complex financial data in real time to increase decision cadence, prevent costly mistakes, and surface value. Sapien has caught multi-million-dollar errors, saved thousands of jobs, and returned significant dollars to customers’ bottom lines. We partner with traditional businesses—manufacturing, healthcare, restaurants, and large enterprises to deeply understand and automate their financial workflows. We’re HQ’d by Madison Square Park in NYC and backed by General Catalyst, Neo, and top operators from Google, OpenAI, Microsoft, Ramp, and Stripe (over $9M raised). THE ROLE Every wave of enterprise software created a new kind of operator. On-prem had implementation managers. SaaS had solutions engineers. Agentic AI demands something different: people who don't install software, they deploy intelligence. They rewire how finance teams think, work, and decide. That's this role. You'll be the bridge between Sapien and the finance orgs we serve, dropping into customer environments, learning their workflows cold, and redesigning them around our agents. But deployment is only half of it. You'll sit at the center of the company: feeding what you learn in the field back to sales, shaping the product roadmap with engineering, and giving the founders ground truth on where the market is going. Part strategist, part operator, part finance translator. The connective tissue between customers, sales, product, and leadership. If you've ever watched a finance team grind through a process and thought "there has to be a better way", we built this role for you. WHAT YOU’LL OWN Customer Deployments * Own customer implementations end-to-end: scoping, workflow mapping, deployment, training, and optimization. You are the reason a customer succeeds. * Embed with finance teams (CFOs, FP&A, analysts) to learn how they actually operate, then transform those workflows onto Sapien. * Build the deployment playbook from zero: repeatable frameworks for onboarding, integrating, and scaling Sapien across organizations. Cross-Functional Impact & Strategy * Arm the sales team with what you learn in the field, including real customer pain points, objections, success stories, and the language CFOs actually use, so every deal benefits from every deployment. * Work directly with engineering to set the product roadmap: translate real finance workflows into product requirements, stress-test new features, and push for what customers actually need. * Spot patterns across deployments that shape where the product and GTM motion go next. * Partner with the founders on customer materials, internal strategy, and high-priority initiatives. WHAT WE’RE LOOKING FOR * Finance and operating background. 2–6 years in banking, PE, consulting, or a similarly analytical role. You know your way around financial statements, operating metrics, and corporate finance. * Strong in front of customers. You can hold a room with a CFO. You listen more than you talk, build trust quickly, and turn vague concerns into concrete next steps. * You build systems, not just deliverables. When you solve a problem, you make sure it stays solved. You leave behind processes, not just outputs. * AI-native. You use AI tools every day. You pick up new tech faster than anyone around you and you can't help but show others how to use it too. * High agency. You don't wait for a brief. You figure out what needs to happen and you go do it, with attention to detail that holds up under scrutiny. HOW YOU WORK (VALUES WE CARE ABOUT) * AI-native. You’re energized by applying AI to transform how businesses run. * Ambiguity-shaping. You turn nebulous problems into a first pass and drive to resolution. * Extreme ownership. You identify what’s next—and do it. If you say it, it gets done. * Speed & hustle. You bias to action and move with urgency without sacrificing quality.