12 jobs found

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. Location Any cities with Axon Engineering Hub in US, Vietnam, EU. EU locations include Tampere, Finland; London, UK; Brussels, Belgium. Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges. Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match. Discretionary paid time off. Paid parental leave for all. Medical, Dental, Vision plans. Fitness Programs. Emotional & Mental Wellness support. Learning & Development programs.Snacks in our offices. Location Details This role is based out of our London, UK office and follows a hybrid schedule. We rely on in person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in office culture is designed to support meaningful teamwork and mentorship. Equal Opportunity Employment We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Role Overview The Director, Regional Head of Technology MedTech EP-CNV EMEA leads a business facing technology organization across midsize and emerging markets (France, Germany, Spain, Italy, UK). The role shapes growth strategies, modernizes platforms, and delivers differentiated digital and AI capabilities for customers and patients. The incumbent partners closely with senior MedTech leadership to align technology execution with business strategy, ensuring technology becomes a competitive advantage for the region. Key Responsibilities Strategy & Outcomes: Co create the regional technology strategy for EP-CNV, translate it into a multi year product and platform roadmap, and serve as a strategic technology partner to senior leaders. Provide accountable technology leadership for end to end business outcomes, develop compliant technology in partnership with Cybersecurity, Regulatory Affairs, and Legal, and build cross region partnerships to accelerate digitalization. Run, Improve, Transform: Ensure smooth business operations through data availability and accuracy; foster partnerships with marketing, sales, and commercial operations to map processes and enable technology solutions, including AI; determine fit for purpose solutions across sales and marketing motions. AI, Data & Digital: Operationalize AI/ML and GenAI across commercial, supply chain, service, and R&D use cases, grounded in robust data governance and security. Use data and analytics to deliver actionable insights, champion interoperable data platforms and real time telemetry, and implement privacy by design practices. Product Management & Delivery: Drive a disciplined product management (HPT) approach to ideate, build, and scale high impact solutions; link roadmaps to OKRs and dependable delivery. Own the business technology portfolio-prioritization, funding, delivery, adoption, and benefits realization-leveraging global JJT product teams and platforms. Leadership & Talent: Lead and develop a high performing team of product, engineering, data, and delivery leaders; attract world class talent and foster an inclusive, learning oriented culture. Coach people managers to build an inclusive, high engagement culture within their teams. Financials & Governance: Develop and manage the regional technology budget, ensuring investment decisions align with value, risk, and compliance, and continuously optimize run vs. change. Uphold quality, cybersecurity, privacy, and compliance expectations with Quality/Regulatory, Legal, and Privacy partners. Stakeholder & Market Impact: Ensure technology enables successful product launches and lifecycle management; tailor solutions to local market dynamics; champion customer centric design with providers, payers, and health systems; coordinate customers' engagement in technology aspects (connectivity, cyber security, privacy). Key Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related field; Master's degree preferred. 12+ years of technology leadership, including direct experience leading line of business, engineering, data operations, or product teams. 8+ years of people leadership in a matrixed environment at scale. Demonstrated ability to apply technology to solve business problems with exceptional communication, influence, and stakeholder partnership across senior levels. Experience with business processes (bids & tenders, order to cash, customer engagement) and their interface with foundational technology platforms (ERP, CRM, MES). Proven track record in product management, agile delivery, and portfolio governance; ability to connect roadmaps to measurable outcomes. Fluency with cloud, APIs, data platforms, analytics, and AI/ML/GenAI; hands on leadership implementing these capabilities beyond pilot stages. Experience modernizing legacy environments while introducing new digital and AI enabled solutions safely and compliantly. Collaborated effectively across a complex, matrixed organization to drive alignment, scalable solutions, and strategic priorities. Preferred: MedTech domain exposure to cardio and neurovascular products (digital surgery, robotics, imaging/computer vision, connected equipment). Demonstrated success hiring and developing outstanding technical and product talent; recognized executive presence and change leadership. Key Relationships Reports to: VP & Head of Technology and AI (Electrophysiology, Cardio and Neurovascular). Key relationships include regional MedTech leadership teams, cross functional partners (Cybersecurity, Regulatory Affairs, Legal, Quality), and external stakeholders such as technology providers, governments, and advisory boards. Diversity, Equity & Inclusion Johnson & Johnson is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. Required Skills Analytical Reasoning Cost Management Developing Others Fact Based Decision Making Human Computer Interaction (HCI) Inclusive Leadership Leadership New Program Development Performance Measurement Product Development Product Strategies Project Management Methodology (PMM) Research and Development Software Development Management Stakeholder Management Strategic Supply Chain Management Preferred Skills Artificial Intelligence and Machine Learning expertise Cloud architecture and integration experience Regulatory compliance knowledge in MedTech Digital surgery and robotics domain knowledge Experience with GenAI solutions

We are looking for a Senior Machine Learning Scientist to join the Corporate Research department at Sartorius. You will use your expertise in modern machine learning, computer vision and robotics to design AI driven automation for next generation Sartorius instruments and lab workflows used by major life science and biopharmaceutical companies worldwide. Location & Travel Full time, with the opportunity to be based remotely in the UK and to travel regularly to Sartorius sites such as Royston near Cambridge. The successful candidate must have the right to work in the UK. Responsibilities Design and deploy AI driven solutions for robotics, lab automation and smart instruments, including orchestration of liquid handling systems, incubators, imaging devices and analytical sensors. Develop and optimise architectures leveraging LLMs and VLMs for multimodal perception, control and exception handling in automated laboratory and manufacturing workflows. Build intelligent scheduling and planning agents to coordinate fleets of devices and robots, enabling closed loop experimentation, process optimisation and autonomous lab operations. Apply graph based and sequential models to represent experimental workflows, material flows and equipment state, improving predictive maintenance and process robustness. Integrate AI agents with automation frameworks, messaging systems and device APIs to enable reliable data and command flows across Sartorius' digital and bioprocessing ecosystem. Collaborate closely with robotics, software, process engineering and product teams to translate user needs into robust, production grade AI and automation capabilities. Qualifications Master's or PhD degree in Computer Science, Robotics, Machine Learning, Control Engineering or related disciplines. Experience with LLMs (e.g., GPT, LLaMA) and VLMs (e.g., CLIP, Flamingo) applied to perception, workflow guidance or automation use cases. Hands on experience with multi agent systems and orchestration frameworks or robotics middleware (e.g., ROS, OPC UA, message queues). Practical experience with robotics, lab automation, industrial automation or autonomous systems; exposure to life science or bioprocess environments is a strong plus. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Basic knowledge of graph theory, planning or reinforcement learning and their application to decision making in complex systems. Understanding of distributed systems, APIs and cloud based deployment of AI and automation services. Ability to communicate complex technical concepts to interdisciplinary teams and non experts. Strong organisational and communication skills (both written and verbal). Ability to work collaboratively in a large, matrix based organisation. Benefits Personal and Professional Development: mentoring, leadership programs, LinkedIn Learning, internal seminar offerings. Work life Balance: remote options, flexible work schedules. Onboarding: comprehensive onboarding, including a virtual online platform even before joining. Welcoming Culture: mutual support, team spirit and international collaboration; communities on numerous topics such as coaching, agile working and businesswomen network. Health & Well Being: wide range of health and well being support such as healthcare plans and health assessment services. Working Conditions: 37.5 hours working week, 25 days annual leave plus public holidays, free parking on site. Compensation: Annual option to buy, sell or carry forward annual leave; free hot and cold drinks; regular social events and free exercise classes; competitive benefits package including a group personal pension plan, private medical insurance, private dental insurance, group life assurance, group income protection, cycle to work scheme. Company Sartorius

Job Description About the RoleVisionerds is looking for a passionate and experienced Senior Machine Learning Engineer - Robotics & Computer Vision to help build the future of intelligent robotic welding systems. In this role, you will work at the intersection of AI, robotics, computer vision, and industrial automation, developing advanced robotic perception systems for real-world manufacturing environments. You will collaborate closely with multidisciplinary teams to solve complex welding challenges using deep learning, sensor fusion, and 3D perception technologies. This is an opportunity to work on cutting edge robotics applications with real production impact while helping shape the future direction of perception technologies within the company. Key Responsibilities Lead the development and implementation of advanced algorithms for robotic perception systems tailored to industrial welding applications. Integrate and process data from multiple vision sensors including RGB/GigE cameras, LiDAR, and ToF depth sensors. Drive research initiatives focused on solving welding-related challenges using computer vision, image processing, point cloud analysis, and 3D sensor fusion. Design and lead experiments evaluating state-of-the-art deep learning models for robotic perception systems. Optimize machine learning pipelines and deploy robust perception solutions for production environments. Collaborate with robotics, software, and hardware teams to build scalable intelligent systems. Stay updated with advancements in Robotics, Computer Vision, and AI research and apply cutting-edge approaches to real-world problems. Mentor junior engineers and provide technical leadership across perception and machine learning initiatives. Contribute to architectural and strategic technical decisions aligned with long term product and business goals. Requirements Bachelor's or Master's degree in Computer Science, Robotics, Artificial Intelligence, or a related technical field. 5+ years of experience developing machine learning solutions for real-world robotics or industrial systems. Strong expertise in Python, Deep Learning, Neural Networks, Computer Vision, and 3D Data Processing. Experience working with RGB/GigE cameras, LiDAR sensors, ToF depth sensors, and sensor fusion techniques. Strong understanding of machine learning model development, optimization, and deployment. Proven ability to bridge research concepts into practical production-ready systems. Ability to thrive in a fast paced startup environment. Nice to Have Experience with ROS/ROS2. Familiarity with industrial robotics systems. Knowledge of welding automation or manufacturing workflows. Experience with C++ or performance critical systems. Publications or research background in Robotics or Computer Vision. What We Offer Opportunity to work on cutting edge robotics and AI technologies. High impact projects with real world industrial applications. Collaborative and innovation driven engineering culture. Career growth and leadership opportunities. Chance to shape the future of intelligent automation. We value diversity and create an inclusive environment for everyone.

Visionerds is seeking a passionate Senior Machine Learning Engineer - Robotics & Computer Vision to work on advanced robotic welding systems. In this role, you will develop robotic perception systems and collaborate with teams to solve complex engineering challenges. Candidates should have over 5 years of experience in machine learning, strong skills in Python and Deep Learning, and a relevant degree. The position offers opportunities for career growth and involvement in high-impact projects.

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking multiple highly skilled and innovative Computer Vision and Machine Learning (CVML) Scientists to join our AI team as Tech Lead, focusing on turning CVML R&D ideas to product features in Cloud, Devices and Robotics. As a Tech Lead of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in CVML technologies and bringing technology to our customers for our cloud, devices and robotics. You will collaborate with product managers, cross-functional teams to design, develop, and ship cutting-edge CVML algorithms and solutions that enable intelligent perception and understanding of visual data. What You'll Do Location: Remote from England or Hybrid from office in London, England. Reports To: Senior Director, Research Science Convert and Ship CVML R&D ideas to Axon Products. Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources. Design and implement efficient and scalable MLLM models for inference and analysis of visual data. Explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding. Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of MLLM models using real-world datasets and design experiments to validate their effectiveness. Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +8 year experience in Computer Science or a related field with a focus on MLLMs, computer vision, machine learning, or artificial intelligence. Proven track record of research excellence in machine learning, computer vision, robotics perception, demonstrated through publications in top-tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operating system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline. Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Cross-platform Flutter apps with a deep focus on user experience Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations What you'll do Work across the full stack of technology, from mobile all the way down through data infrastructure. Take end-to-end ownership over thorny real-world problems, like using machine vision to automatically assess proof of delivery photos. Collaborate with team members across the company. Regularly spend time in the field learning how the technology you build impacts our couriers and parcel recipients. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Build a UI Component Interview - 1 hour Design and Mobile Fundamentals Interview + AI Programming (Build an APP) - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours, our process mirrors our pace of work, typically completed in a week. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state of the art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see ) EU: Tampere, Finland or London, UK or Brussels, Belgium Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Fitness Programs Emotional & Mental Wellness support And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Humanoid is looking for a Senior ML Engineer to join the Perception and Navigation team in London. The role involves designing and optimizing systems for computer vision and spatial understanding in robots. Candidates should have deep experience in machine learning, particularly with large models, and be proficient in PyTorch. The position offers meaningful time off, fully funded healthcare, a pension scheme, and a collaborative work environment with top experts in AI and robotics.

Here at Humanoid, we believe in a future where robots amplify human potential. That's why we've set out on a mission to build the world's most capable, commercially-scalable, and safe humanoid robots. We're bringing that mission to life with HMND 01 Alpha - our rapidly developed humanoid platform now running in real industrial pilots - and we're growing the team to take it even further. About the Role We're hiring a Senior ML Engineer (VLA & Navigation) (London) to join our Perception and Navigation team based in London. In this role you will lead the design, development, and optimization of cutting-edge computer vision and spatial understanding systems, including object detection, semantic segmentation, 3D scene reconstruction, and persistent geometric reasoning. What You'll Do Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning. Work on open-ended navigation powered by Vision-Language-Action (VLA) models - enabling robots to understand context, predict intent, and act in complex, dynamic environments. Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction. Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness. Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems. Stay ahead of the field - rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands on experience building, fine tuning, and deploying large scale ML systems. Strong experimental and research skills - capable of taking projects from concept to model training, evaluation, and robot integration. Comfortable working in a fast moving, research driven environment with evolving models, data, and tools. What We Offer Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. Fully funded private healthcare for UK employees, with broad provider access, virtual and in person care, and strong mental health and serious illness support. Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. Free daily breakfast, catered lunch, and snacks in office. Collaboration with top tier engineers, researchers, and product experts in AI and robotics. Freedom to influence the product and own key initiatives.