About Hyper Hyper is an innovative, London-based startup on a mission to redefine how people experience the real world. We've built the most accurate and scalable indoor location technology, and have rolled out in IKEA stores across Europe. We've entered a space with huge commercial demand, but previously defined by inaccurate and disappointing solutions, such as bluetooth beacons. Using our new approach, powered by a mix between Augmented Reality sensors and WiFi, we've been able to achieve 5x more accurate location than any other solution, with unlimited scale and an amazing user experience. This is "Indoor location that actually works". Check out a demo of our user experience: The Role Our mapping methodology encompasses the transformation of CAD floor plans into dynamic digital renditions, enriched with interactive elements facilitating point-of-interest identification and seamless navigation. We're on the lookout for a skilled ML Solutions Engineer to spearhead our mapping R&D division as a foundational team member. Your role will involve pioneering novel solutions aimed at revolutionising our automated mapping capabilities for scalability. Through your innovations, we aim to streamline our store mapping process to mere minutes, enabling us to efficiently scale across tens of thousands of locations. Responsibilities Strong problem-solving and algorithmic skills and familiarity with machine learning and AI techniques applicable to mapping digitisation and automation, with the ability to work in a fast-paced, dynamic startup environment. Collaborate with cross-functional teams to understand requirements and translate them into machine learning solutions for mapping digitisation and automation. Research, develop and implement machine learning models and algorithms to add value around scalability, automation, localisation, mapping, trajectory prediction, and user behaviour analysis. Integrate machine learning functionalities into our web-based navigation platform, ensuring seamless compatibility and performance optimisation. Design and conduct experiments to evaluate the performance of machine learning models, iterating on solutions to improve accuracy and robustness. Work closely with software engineers to deploy machine learning models in production environments, ensuring scalability, reliability, and maintainability. Excellent leadership, communication and collaboration skills. Stay updated on the latest advancements in machine learning research and technologies, proactively exploring opportunities for innovation and improvement. Qualifications: 3+ years or demonstrable experience in software automation creating machine learning models. Strong understanding of machine learning algorithms, including supervised and unsupervised learning, experience with LLM's, reinforcement learning and deep learning architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Transformers. Expertise in Computer Vision techniques is crucial for processing indoor images or video feeds for map digitisation and automation purposes. This includes object detection, segmentation, and tracking. Proficiency in programming languages such as Python, JavaScript, and relevant libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and experience with version control systems (e.g., Git) and software engineering best practices is also important for maintaining scalable and maintainable codebases. Experience with web development technologies (HTML, CSS, React.js, Node.js) and building web-based applications. Also great to have: Knowledge of navigation and localisation systems, such as SLAM (Simultaneous Localisation and Mapping). Familiarity with indoor positioning systems (IPS), Bluetooth Low Energy (BLE) beacons, or Wi-Fi fingerprinting technologies. Experience with geospatial data analysis, sensor fusion techniques, or computer vision algorithms. Knowledge of cloud computing platforms (e.g., AWS, Google Cloud) and experience with deploying machine learning models in cloud environments. Working with us Based in London - we meet once a week on Wednesdays to collaborate, though this could increase Home office allowance and a company MBP We have a global WeWork membership, allowing unlimited access to any WeWork location Generous equity Private healthcare with Vitality
May 01, 2024
Full time
About Hyper Hyper is an innovative, London-based startup on a mission to redefine how people experience the real world. We've built the most accurate and scalable indoor location technology, and have rolled out in IKEA stores across Europe. We've entered a space with huge commercial demand, but previously defined by inaccurate and disappointing solutions, such as bluetooth beacons. Using our new approach, powered by a mix between Augmented Reality sensors and WiFi, we've been able to achieve 5x more accurate location than any other solution, with unlimited scale and an amazing user experience. This is "Indoor location that actually works". Check out a demo of our user experience: The Role Our mapping methodology encompasses the transformation of CAD floor plans into dynamic digital renditions, enriched with interactive elements facilitating point-of-interest identification and seamless navigation. We're on the lookout for a skilled ML Solutions Engineer to spearhead our mapping R&D division as a foundational team member. Your role will involve pioneering novel solutions aimed at revolutionising our automated mapping capabilities for scalability. Through your innovations, we aim to streamline our store mapping process to mere minutes, enabling us to efficiently scale across tens of thousands of locations. Responsibilities Strong problem-solving and algorithmic skills and familiarity with machine learning and AI techniques applicable to mapping digitisation and automation, with the ability to work in a fast-paced, dynamic startup environment. Collaborate with cross-functional teams to understand requirements and translate them into machine learning solutions for mapping digitisation and automation. Research, develop and implement machine learning models and algorithms to add value around scalability, automation, localisation, mapping, trajectory prediction, and user behaviour analysis. Integrate machine learning functionalities into our web-based navigation platform, ensuring seamless compatibility and performance optimisation. Design and conduct experiments to evaluate the performance of machine learning models, iterating on solutions to improve accuracy and robustness. Work closely with software engineers to deploy machine learning models in production environments, ensuring scalability, reliability, and maintainability. Excellent leadership, communication and collaboration skills. Stay updated on the latest advancements in machine learning research and technologies, proactively exploring opportunities for innovation and improvement. Qualifications: 3+ years or demonstrable experience in software automation creating machine learning models. Strong understanding of machine learning algorithms, including supervised and unsupervised learning, experience with LLM's, reinforcement learning and deep learning architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Transformers. Expertise in Computer Vision techniques is crucial for processing indoor images or video feeds for map digitisation and automation purposes. This includes object detection, segmentation, and tracking. Proficiency in programming languages such as Python, JavaScript, and relevant libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and experience with version control systems (e.g., Git) and software engineering best practices is also important for maintaining scalable and maintainable codebases. Experience with web development technologies (HTML, CSS, React.js, Node.js) and building web-based applications. Also great to have: Knowledge of navigation and localisation systems, such as SLAM (Simultaneous Localisation and Mapping). Familiarity with indoor positioning systems (IPS), Bluetooth Low Energy (BLE) beacons, or Wi-Fi fingerprinting technologies. Experience with geospatial data analysis, sensor fusion techniques, or computer vision algorithms. Knowledge of cloud computing platforms (e.g., AWS, Google Cloud) and experience with deploying machine learning models in cloud environments. Working with us Based in London - we meet once a week on Wednesdays to collaborate, though this could increase Home office allowance and a company MBP We have a global WeWork membership, allowing unlimited access to any WeWork location Generous equity Private healthcare with Vitality
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 01, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
At Dexory, we believe that real time data will revolutionise the logistics industry. We are building a platform that provides companies with real time access to their operations. Our autonomous robotics technology combined with our data insights platform help our customers to measure, track and find goods across warehouses in real time, and to build the ultimate digital twin of their facilities. To make this happen, we want to find people driven by passion and curiosity to join us. We work on complex technical systems, but we don't just need your technical skills - we want to find people who care about what they are building, and about working as a team in a challenging environment to deliver innovative solutions that impact one of the most important global industries. In this role you will have the opportunity to transform your ideas into tangible products and services, pushing the boundaries of technology and user experience. If you're a passionate technologist, but also see yourself as an innovative problem solver and a team player, then this is the opportunity for you. We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture. What does this role involve? As a Senior Robotics Perception Engineer (Vision), you will be responsible for developing and implementing perception algorithms and systems for our robots that do not rely on landmarks or any external scaffolding, but instead operate fully autonomously. You will therefore play a critical role enabling our autonomous robots to perceive and understand their environment, enabling them to interact intelligently and autonomously. The main focus of this role would be to develop detection of obstacles and objects in general, as well as scene recognition in a warehouse environment. Responsibilities You will be helping improve & test our existing visual perception, improving perception capabilities of warehouse specific objects and enhancing the robustness and reliability of said systems. Your work on computer vision will have a direct impact on our sensor fusion, obstacle avoidance, navigation, object detection and tracking, and on our simultaneous localization and mapping (SLAM). You will also participate in the development of sensor selection and integration strategies, ensuring the optimal utilization of various sensors such as RGB(D) cameras. In addition, you will contribute to the design, implementation and integration of visual perception with a strong focus on time-critical robustness and the time criticality for constraint systems. Day-to-day work will include developing, testing, improving, and deploying perception systems tailored specifically for the purpose of moving autonomously based on classical computer vision using, e.g., openCV or machine learning models for semantic segmentation, surface estimation or feature extraction (were possible). In the beginning, our focus will be strongly on reliability and we prefer classical "robotics computer vision" over machine learning. You will need: 5+ years experience in robotics or IoT projects (industry or applied research competitions), where you show strong expertise in: Hands-on experience in integrating and testing of RGB(D) cameras or 3D lidars commonly used in autonomous systems Programming languages such as modern C++, Python Developing, testing, and deploying state-of-the-art perception algorithms, such as visual odometry, obstacle detection for mobile robots, and general object detection Using state-of the-art computer vision frameworks that can be applied to mobile robots Applying linear algebra Classical "robotics computer vision" , i.e., extracting objects from an image Real-time systems, embedded platforms, and optimization for resource-constrained platforms Preferred Qualifications: Familiarity with robot operating systems (ROS 2) and experience developing perception modules within ROS 2 Experience working with autonomous robots more generally in research or industry settings Open-source contributions, ideally for projects tackling robotics perception Please mark in your CV the areas that indicate your fit the most. Culture and benefits As a company, we're still in the early phase of our life. We're a small team for the quality and complexity of the products we are building, but we have a great platform in an advanced stage of development - and as an early engineering hire, you'll play a significant role in shaping the future of our engineering culture. We have a strong focus on building a culture of openness, collaboration, and high performance, but want to ensure a sustainable pace of delivery. We are a friendly team with our own office, workshop, and warehouse spaces in London and Oxfordshire. We welcome applications from candidates across the UK - however, the nature of our work with hardware means that some on-site visits are required, and you'll need to visit at least once a month. You'll receive a market-rate salary, stock options, as well as an annual training and conference budget. AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
May 01, 2024
Full time
At Dexory, we believe that real time data will revolutionise the logistics industry. We are building a platform that provides companies with real time access to their operations. Our autonomous robotics technology combined with our data insights platform help our customers to measure, track and find goods across warehouses in real time, and to build the ultimate digital twin of their facilities. To make this happen, we want to find people driven by passion and curiosity to join us. We work on complex technical systems, but we don't just need your technical skills - we want to find people who care about what they are building, and about working as a team in a challenging environment to deliver innovative solutions that impact one of the most important global industries. In this role you will have the opportunity to transform your ideas into tangible products and services, pushing the boundaries of technology and user experience. If you're a passionate technologist, but also see yourself as an innovative problem solver and a team player, then this is the opportunity for you. We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture. What does this role involve? As a Senior Robotics Perception Engineer (Vision), you will be responsible for developing and implementing perception algorithms and systems for our robots that do not rely on landmarks or any external scaffolding, but instead operate fully autonomously. You will therefore play a critical role enabling our autonomous robots to perceive and understand their environment, enabling them to interact intelligently and autonomously. The main focus of this role would be to develop detection of obstacles and objects in general, as well as scene recognition in a warehouse environment. Responsibilities You will be helping improve & test our existing visual perception, improving perception capabilities of warehouse specific objects and enhancing the robustness and reliability of said systems. Your work on computer vision will have a direct impact on our sensor fusion, obstacle avoidance, navigation, object detection and tracking, and on our simultaneous localization and mapping (SLAM). You will also participate in the development of sensor selection and integration strategies, ensuring the optimal utilization of various sensors such as RGB(D) cameras. In addition, you will contribute to the design, implementation and integration of visual perception with a strong focus on time-critical robustness and the time criticality for constraint systems. Day-to-day work will include developing, testing, improving, and deploying perception systems tailored specifically for the purpose of moving autonomously based on classical computer vision using, e.g., openCV or machine learning models for semantic segmentation, surface estimation or feature extraction (were possible). In the beginning, our focus will be strongly on reliability and we prefer classical "robotics computer vision" over machine learning. You will need: 5+ years experience in robotics or IoT projects (industry or applied research competitions), where you show strong expertise in: Hands-on experience in integrating and testing of RGB(D) cameras or 3D lidars commonly used in autonomous systems Programming languages such as modern C++, Python Developing, testing, and deploying state-of-the-art perception algorithms, such as visual odometry, obstacle detection for mobile robots, and general object detection Using state-of the-art computer vision frameworks that can be applied to mobile robots Applying linear algebra Classical "robotics computer vision" , i.e., extracting objects from an image Real-time systems, embedded platforms, and optimization for resource-constrained platforms Preferred Qualifications: Familiarity with robot operating systems (ROS 2) and experience developing perception modules within ROS 2 Experience working with autonomous robots more generally in research or industry settings Open-source contributions, ideally for projects tackling robotics perception Please mark in your CV the areas that indicate your fit the most. Culture and benefits As a company, we're still in the early phase of our life. We're a small team for the quality and complexity of the products we are building, but we have a great platform in an advanced stage of development - and as an early engineering hire, you'll play a significant role in shaping the future of our engineering culture. We have a strong focus on building a culture of openness, collaboration, and high performance, but want to ensure a sustainable pace of delivery. We are a friendly team with our own office, workshop, and warehouse spaces in London and Oxfordshire. We welcome applications from candidates across the UK - however, the nature of our work with hardware means that some on-site visits are required, and you'll need to visit at least once a month. You'll receive a market-rate salary, stock options, as well as an annual training and conference budget. AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
About us We believe in the power of ingenuity to build a positive human future in a technology-driven world. As strategies, technologies and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. An innovation and transformation consultancy, we are 3,300 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists. We operate globally from offices across the UK, US, Netherlands and Nordics. PA. Bringing Ingenuity to Life. Job Description We design and build software for real products and devices - some of the most innovative and life-changing imaginable. We love a challenge and the ability to use our technical know-how and innovative thinking to find the best answers. Our multi-disciplinary teams specialise in developing end-to-end products and devices, taking early stage concepts through to complete product releases - and even to small volume production line scale-up. Our world-class development facilities are based just outside Cambridge. Some of our core capabilities include: Software for Real Devices We are experts in developing best-in-class embedded software and firmware for cutting-edge products and devices across many industries, from small medical devices to large transport networks. For example, we developed the Oakdoor™ Data Diode to keep organisations safe from cyber attacks. We have been working with Ori Biotech to accelerate the development of affordable cell and gene therapies, which is set to revolutionise the healthcare industry. Cloud Integration and IoT Devices We design and develop edge-processing software for embedded and bare-metal IoT devices, with cloud-integration as a key feature, to create end-to-end IoT solutions that have real business value. We work closely with our teams of digital engineers and data scientists to extract deeper insights from our data. We helped Water Source create a water purification system that can change the way people around the world access safe drinking water. Advanced Image processing & Virtual Reality We have expertise in high-speed image analysis and processing, as well as building systems that capture, interpret and use image data. We have built mixed-reality digital twins to improve how operators visualise information and remotely control hazardous systems. Using Microsoft's HoloLens, we enhanced training modules for IMI Critical Engineering with augmented reality (AR) to give engineers a real-world experience of the products they'll be maintaining. Why do we enjoy developing software at PA? Using our talents across a range of design and development tasks from real devices and machines (electronics and mechanical systems) to cutting edge IoT and cloud systems. Working in a talented and collaborative cross-disciplinary team that provides insight into best practice software product development - from button-sized embedded electronics systems through to innovative manufacturing process control. Designing and building solutions using the best-suited technologies for the problem we are trying to solve Where we can, adding value through our non-software capability. For example, as an expert in applied sciences, communications systems, or mechatronics. Qualifications Product Design Engineering at PA is unique among technology consultancies in offering clients the opportunity to integrate new products and technology through to wider business solutions Our PDE programme is based out of our state-of-the-art Global Technology Centre in Melbourn. As a member of our PDE team, you will innovate at the intersection of science, technology and market needs. We pride ourselves on developing innovative solutions to hard problems. We will provide you with the opportunity to work across a multitude of sectors, working within teams which take products from idea to market quickly and efficiently. You will be enrolled onto our Graduate Development Programme, including access to mentoring; and at the end of the scheme, you will be eligible for promotion to our Consultant Analyst rank As an analyst, we expect you to be curious and ask questions that push the boundaries for our clients. We're looking for people with a drive to make a difference and be experts in their field to help bring ingenuity to life. In exchange, we promise to give you a supportive environment with an enthusiastic team ready to help you develop as a software consultant and the opportunity to grow your skills wherever your interest takes you. We expect you will have a combination of: A willingness to learn A desire to push for continuous improvement and deliver quality software The versatility and flexibility to apply your skills to new challenges and solve unfamiliar problems Excellent communication skills, including the ability to explain complex technical concepts to any audience, and the ability to work well in a team A keen interest in applying your ability to different industries Proficient programming skills, ideally with experience in one or more of these embedded or objected-oriented languages: C++, Python, C or C# Familiarity with software development practices and tools, such as agile development, version control, software testing, continuous integration and virtualisation Ideally you will have: Commerical experience in software design, development or testing Knowledge or experience of a specific area of interest, for example: embedded software, sensors, IoT, cloud, robotics, VR/AR, medical devices. Additional Information Private medical insurance Travel allowance 25 days annual leave with the opportunity to buy 5 additional days Company pension scheme Annual performance-based bonus Life and Income protection insurance Tax efficient benefits (cycle to work, give as you earn) Additional optional benefits (Dental, critical illness, spouse/partner life assurance) Inclusion & Diversity We believe that diversity makes us a stronger firm and look to employ people with different ideas, styles and skill sets. This diversity stimulates a rich, creative environment - one in which our people develop, and our clients enjoy enduring results. We're committed to recruiting, promoting and rewarding our people solely based on their ability to contribute to PA's goals, without regard to their sex, race, disability, religion, national origin, ethnicity, sexual orientation, age or marital status. Should you need any adjustments to the recruitment process, at either application or interview, please contact us.
Jan 04, 2022
Full time
About us We believe in the power of ingenuity to build a positive human future in a technology-driven world. As strategies, technologies and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough use of technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. An innovation and transformation consultancy, we are 3,300 specialists in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our people are strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists. We operate globally from offices across the UK, US, Netherlands and Nordics. PA. Bringing Ingenuity to Life. Job Description We design and build software for real products and devices - some of the most innovative and life-changing imaginable. We love a challenge and the ability to use our technical know-how and innovative thinking to find the best answers. Our multi-disciplinary teams specialise in developing end-to-end products and devices, taking early stage concepts through to complete product releases - and even to small volume production line scale-up. Our world-class development facilities are based just outside Cambridge. Some of our core capabilities include: Software for Real Devices We are experts in developing best-in-class embedded software and firmware for cutting-edge products and devices across many industries, from small medical devices to large transport networks. For example, we developed the Oakdoor™ Data Diode to keep organisations safe from cyber attacks. We have been working with Ori Biotech to accelerate the development of affordable cell and gene therapies, which is set to revolutionise the healthcare industry. Cloud Integration and IoT Devices We design and develop edge-processing software for embedded and bare-metal IoT devices, with cloud-integration as a key feature, to create end-to-end IoT solutions that have real business value. We work closely with our teams of digital engineers and data scientists to extract deeper insights from our data. We helped Water Source create a water purification system that can change the way people around the world access safe drinking water. Advanced Image processing & Virtual Reality We have expertise in high-speed image analysis and processing, as well as building systems that capture, interpret and use image data. We have built mixed-reality digital twins to improve how operators visualise information and remotely control hazardous systems. Using Microsoft's HoloLens, we enhanced training modules for IMI Critical Engineering with augmented reality (AR) to give engineers a real-world experience of the products they'll be maintaining. Why do we enjoy developing software at PA? Using our talents across a range of design and development tasks from real devices and machines (electronics and mechanical systems) to cutting edge IoT and cloud systems. Working in a talented and collaborative cross-disciplinary team that provides insight into best practice software product development - from button-sized embedded electronics systems through to innovative manufacturing process control. Designing and building solutions using the best-suited technologies for the problem we are trying to solve Where we can, adding value through our non-software capability. For example, as an expert in applied sciences, communications systems, or mechatronics. Qualifications Product Design Engineering at PA is unique among technology consultancies in offering clients the opportunity to integrate new products and technology through to wider business solutions Our PDE programme is based out of our state-of-the-art Global Technology Centre in Melbourn. As a member of our PDE team, you will innovate at the intersection of science, technology and market needs. We pride ourselves on developing innovative solutions to hard problems. We will provide you with the opportunity to work across a multitude of sectors, working within teams which take products from idea to market quickly and efficiently. You will be enrolled onto our Graduate Development Programme, including access to mentoring; and at the end of the scheme, you will be eligible for promotion to our Consultant Analyst rank As an analyst, we expect you to be curious and ask questions that push the boundaries for our clients. We're looking for people with a drive to make a difference and be experts in their field to help bring ingenuity to life. In exchange, we promise to give you a supportive environment with an enthusiastic team ready to help you develop as a software consultant and the opportunity to grow your skills wherever your interest takes you. We expect you will have a combination of: A willingness to learn A desire to push for continuous improvement and deliver quality software The versatility and flexibility to apply your skills to new challenges and solve unfamiliar problems Excellent communication skills, including the ability to explain complex technical concepts to any audience, and the ability to work well in a team A keen interest in applying your ability to different industries Proficient programming skills, ideally with experience in one or more of these embedded or objected-oriented languages: C++, Python, C or C# Familiarity with software development practices and tools, such as agile development, version control, software testing, continuous integration and virtualisation Ideally you will have: Commerical experience in software design, development or testing Knowledge or experience of a specific area of interest, for example: embedded software, sensors, IoT, cloud, robotics, VR/AR, medical devices. Additional Information Private medical insurance Travel allowance 25 days annual leave with the opportunity to buy 5 additional days Company pension scheme Annual performance-based bonus Life and Income protection insurance Tax efficient benefits (cycle to work, give as you earn) Additional optional benefits (Dental, critical illness, spouse/partner life assurance) Inclusion & Diversity We believe that diversity makes us a stronger firm and look to employ people with different ideas, styles and skill sets. This diversity stimulates a rich, creative environment - one in which our people develop, and our clients enjoy enduring results. We're committed to recruiting, promoting and rewarding our people solely based on their ability to contribute to PA's goals, without regard to their sex, race, disability, religion, national origin, ethnicity, sexual orientation, age or marital status. Should you need any adjustments to the recruitment process, at either application or interview, please contact us.