Quantum Algorithms Scientist

At Phasecraft, we are at the forefront of quantum algorithms innovation, dedicated to establishing the mathematical frameworks that enable quantum computing solutions for pressing real-world challenges. Founded in 2019 by renowned experts Toby Cubitt, Ashley Montanaro, and John Morton, our offices are strategically located in both London and Bristol, UK. In …

Join AECOM as a Principal Water Quality Scientist/Modeller and contribute to innovative projects that shape the future of water quality management. As a key member of our team, you will leverage your expertise to analyze and model water quality systems, ensuring compliance with environmental standards and enhancing sustainability practices.

Our MissionAt Vertical Aerospace, we are at the forefront of transforming electric aviation. Our groundbreaking eVTOL (electric vertical take-off and landing) aircraft, the Valo, aims to establish a new benchmark for safety in air travel while achieving 'zero emissions'.We are committed to redefining aerospace standards, moving away from outdated practices to innovate and grow as a scaling SME. Over the next few years, we anticipate significant growth as we strive to achieve airliner-level safety certification by 2028 and commence operations with our airline partners.Your RoleAs a Data Scientist, you will collaborate closely with our engineering teams to create models that enhance design, testing, and operational decision-making. This includes developing and validating predictive models such as battery lifespan predictions and surrogate models for load modeling.You will be responsible for taking concepts through to deployable solutions, partnering with data engineers to ensure that your models are supported by robust data pipelines and integrated seamlessly into engineering workflows. A strong emphasis will be placed on practical application, ensuring that models are interpretable, validated, and compliant with certification standards.Key ResponsibilitiesDevelop and validate predictive models for various engineering and operational applications, including performance forecasting and reliability assessments.Construct surrogate and approximation models to simplify complex systems and simulations, facilitating quicker and more scalable analyses.Collaborate with engineering teams to understand physical systems and translate them into data-driven models.Analyze extensive time-series datasets from flight and testing environments.Work with data engineering to ensure reliable data ingestion, transformation, and accessibility for modeling, enabling advanced analytics.Deploy models into production environments or engineering toolchains, ensuring their maintainability and usability.Ensure models are well-documented, explainable, and aligned with engineering and certification standards.Contribute to the creation of reusable modeling frameworks and methodologies across the organization.

Join Our Team at OVO EnergyAs a Principal Data Scientist, you'll be pivotal in driving innovative projects that shape our data science strategies. You will lead high-impact initiatives that redefine our approach to customer experience and operational efficiency.Team: Software EngineeringLocation: Hub Based - HybridSalary: £116,500 - £154,588Experience Level: ExpertEmployment Type: Full-TimeReporting to: Director, Data & AIWe believe in fostering a diverse environment where everyone belongs. As part of OVO, you're not just joining a company; you're becoming part of a mission to tackle climate change. Your insights and skills will help us enhance our customer service through new AI capabilities.

Join an exciting collaboration between UWE Bristol and Viper Innovations Ltd. as a Machine Learning Data Scientist under the Knowledge Transfer Partnership (KTP) programme.Viper Innovations is a renowned leader in delivering cutting-edge technology solutions for electrical distribution systems across various global industries, including oil, gas, and rail. In this role, you will collaborate with a dynamic team to develop advanced analytics algorithms for the company's next generation of products. Your contributions will be pivotal in helping Viper Innovations design and launch innovative products and services that enhance the operational lifespan of controls and electrical distribution equipment.This is a fixed-term position for 24 months, which includes comprehensive training through the national KTP Programme, along with a dedicated annual training budget of GBP 2,000 tailored to your professional development. You will receive mentorship and support from esteemed academics, Dr. Chris Simons and Dr. Kamran Soomro, from UWE Bristol.We are looking for candidates who possess:- A first-class degree in Computer Science, Engineering, or a related Mathematics subject, with a strong foundation in contemporary AI and Machine Learning techniques.- Proficiency in high-level programming languages, preferably Python or R.- Experience in mass data manipulation.- An exceptional analytical mindset and a methodical approach to solving complex problems.- Understanding of practical experimental methodologies for gathering and analyzing complex real-world data.For more details, please refer to the attached job advert and job description.Additional Information:Workplace: Viper Innovations, PortisheadSalary: GBP 28,000 - GBP 35,000 with an additional GBP 4,000 training budgetVacancy Reference: R00641Application Deadline: 27/10/2019Interviews Scheduled: Mid-November

Join Graphcore: Pioneering the Future of AI ComputingAt Graphcore, we are at the forefront of AI computing, driven by a team of leading semiconductor, software, and AI specialists. Our expertise spans the entire AI compute stack—from silicon to software and extensive datacenter infrastructure. As a proud member of the SoftBank Group, we are backed by substantial long-term investments, enabling us to contribute significantly to the rapidly expanding SoftBank AI ecosystem. As we embark on this exciting journey, we are expanding our global teams, uniting brilliant minds to tackle the most challenging problems in AI, while ensuring that every team member can make a meaningful impact on our company, products, and the future of artificial intelligence.Your Role as a Research ScientistIn this pivotal role, you will drive the advancement of AI research, exploring innovative ideas that challenge the boundaries of critical AI and machine learning problems. We recognize that specialized hardware has been instrumental in the evolution of AI over the past decade, and we firmly believe that the synergy between hardware-aware AI algorithms and AI-aware hardware development will continue to propel this dynamic field forward. We seek passionate scientists and engineers equipped with the theoretical knowledge and practical skills necessary for groundbreaking AI research.We are especially interested in candidates with experience in low-power, edge, and embodied AI applications, such as robotics, autonomous driving, and augmented/virtual reality. Your expertise in training and deploying multimodal AI models in these contexts will be invaluable, focusing on areas like world models, real-time computer vision, and reasoning over audio and video streams.About Our Research TeamOur team at Graphcore Research is engaged in both foundational and applied research, aiming to define the computational needs of machine intelligence while demonstrating how hardware can facilitate the creation of next-generation AI models. We are proud to publish our findings at leading AI and machine learning conferences (including NeurIPS, ICML, and ICLR) and collaborate with research teams and organizations around the globe.We foster a collaborative and supportive environment, organizing our efforts around individual research interests to tackle challenges in domains such as efficient computation, model scaling, and the distributed training and inference of AI models across diverse modalities and applications, including sequence- and graph-based data. Our offices span London, Cambridge, and Bristol, promoting cross-location projects and discussions.To better understand our work, feel free to explore our research papers and articles.

Join Graphcore as a Research Scientist At Graphcore, we are at the forefront of AI compute innovation. Our team, comprised of semiconductor, software, and AI experts, is dedicated to developing an integrated AI compute stack, spanning from silicon and software to datacenter-scale infrastructure. As part of the SoftBank Group, we enjoy substantial long-term investment to push the boundaries of AI technology within the rapidly expanding SoftBank AI ecosystem. To harness the immense potential of AI, we are actively growing our global teams and inviting the brightest minds to tackle the most challenging problems, providing everyone the chance to make a significant impact on our company, products, and the future of artificial intelligence. Role Overview As a Research Scientist at Graphcore, your contributions will drive advancements in AI research by exploring innovative concepts that address critical AI/ML challenges. Over the past decade, specialized hardware has been pivotal in AI progress, and we believe that the synergy between hardware-aware AI algorithms and AI-aware hardware will be essential for continuing breakthroughs in this fascinating field. We seek passionate scientists and engineers equipped with the theoretical and practical expertise necessary for impactful AI research. Ideal candidates will have experience in low-power, edge, and embodied AI applications, including robotics, autonomous driving, and augmented/virtual reality. Your work will involve training and deploying multimodal AI models in these contexts, focusing on areas like world models, real-time computer vision, and generating and reasoning over audio/video streams. About Our Team Graphcore Research engages in both fundamental and applied research, aiming to characterize the computational needs of machine intelligence and showcase how hardware can propel the next generation of innovative AI models. We regularly publish our findings at top AI/ML conferences such as NeurIPS, ICML, and ICLR, and collaborate with various research teams and organizations worldwide. We take pride in our supportive and collaborative environment, organizing ourselves around individual research interests to collectively solve problems in areas like efficient compute, model scaling, and distributed training and inference of AI models for diverse modalities and applications, including sequence- and graph-based data. Our teams are spread across London, Cambridge, and Bristol, fostering projects and discussions that connect all our locations. To get a deeper insight into our work, we encourage you to read one of our publications or explore an article on our website.