Machine Learning Data Scientist - KTP Associate

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

About Graphcore At Graphcore, we are pioneering the next generation of AI computing technology. Our team comprises seasoned professionals in semiconductor, software, and AI, who possess extensive expertise in developing a comprehensive AI compute stack—from silicon and software to large-scale data center infrastructure. As a proud member of the SoftBank Group, we benefit from substantial long-term investment, enabling us to deliver critical innovations within the rapidly evolving SoftBank AI ecosystem. To capitalize on the immense opportunities in AI, Graphcore is expanding its global talent pool. We unite the brightest minds to tackle the most challenging problems in an environment where every individual can significantly influence the company, our products, and the future of artificial intelligence.

About GraphcoreAt Graphcore, we are pioneering the future of artificial intelligence computing. Our team is comprised of semiconductor, software, and AI specialists who have extensive experience in developing a comprehensive AI compute stack—from hardware to software and infrastructure at datacenter scale. As a proud member of the SoftBank Group, we are backed by substantial long-term investments, enabling us to deliver vital technologies within the rapidly expanding SoftBank AI ecosystem. To seize the enormous potential in the AI sector, Graphcore is growing its teams globally. We are uniting the brightest minds to tackle the most challenging problems, creating an environment where every individual has the chance to impact our company, products, and the future of AI.Job SummaryIn your role as a Senior Machine Learning Engineer within the Applied AI team at Graphcore, you will play a key part in pushing AI technology forward by crafting and refining AI models optimally suited for our specialized hardware. Your expertise will be essential in managing large-scale systems where performance is paramount to the success of our initiatives. Collaborating closely with software development and research teams, you will be instrumental in discovering opportunities for innovation and differentiation in Graphcore’s technology. We are looking for engineers with robust technical capabilities and a solid understanding of AI model implementation at scale, who are enthusiastic about making a real impact in this rapidly changing field.The TeamThe Applied AI team acts as liaisons for our clients; we strive to grasp the latest AI models, applications, and software to guarantee that Graphcore’s technology operates seamlessly within the AI ecosystem and at scale. We develop reference applications, enhance key software libraries (e.g., optimizing kernels for peak efficiency on our hardware), and collaborate with the Research team to cultivate and publish innovative ideas in areas such as efficient computing, model scaling, and the distributed training and inference of AI models for various modalities and applications. If you're excited about advancing the next generation of AI models on state-of-the-art hardware, we would love to hear from you!

About UsGraphcore stands at the forefront of innovation in Artificial Intelligence computing, pioneering the development of advanced hardware, software, and systems infrastructure that will catalyze the next wave of AI breakthroughs. Our mission is to enable the extensive integration of AI solutions across diverse industries.As part of the prestigious SoftBank Group, Graphcore is aligned with a select group of companies that are shaping transformative technologies worldwide. Together, we strive to realize a vision of Artificial Super Intelligence, ensuring its advantages are accessible to all.Our team is a vibrant mix of individuals from various backgrounds, encompassing AI research specialists, silicon designers, software engineers, and systems architects. At Graphcore, we foster a culture of continuous learning and relentless innovation.Job SummaryAs a Graduate Machine Learning Engineer within the Applied AI team at Graphcore, you will play a pivotal role in enhancing AI technology through the development and optimization of AI models specifically designed for our cutting-edge hardware. Collaborating closely with the Software Development and Research teams, you will be instrumental in discovering opportunities for innovation and differentiation in Graphcore’s technology. This position is ideal for someone passionate about hands-on model work, possessing a robust foundation in machine learning principles, and eager to advance AI performance in practical systems.The TeamThe Applied AI team is dedicated to comprehending the latest AI models, applications, and software to ensure seamless integration with the AI ecosystem. Our responsibilities include building reference applications, enhancing key software libraries (e.g., optimizing kernels for efficiency on our hardware), and collaborating with the Research team to develop and publish groundbreaking ideas in areas such as efficient computing, model scaling, and distributed training and inference of AI models across various modalities and applications.Responsibilities and DutiesDevelop and implement state-of-the-art machine learning models and optimize them for performance and accuracy, scaling effectively to thousands of accelerators.

About Us Graphcore stands at the forefront of innovation in Artificial Intelligence computing, dedicated to transforming the landscape of AI technology. We are pioneering the development of hardware, software, and systems infrastructure that will catalyze the next wave of AI breakthroughs, facilitating the widespread adoption of AI solutions across diverse industries. As a proud member of the SoftBank Group, Graphcore joins a distinguished family of companies that are driving some of the world’s most revolutionary technologies. Together, we share an ambitious vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to all. Our team is a rich tapestry of talents and perspectives, comprising AI research specialists, silicon designers, software engineers, and systems architects, all thriving in a culture focused on continuous learning and innovation. Job Summary We invite applications for the position of Graduate Software Engineer to join our dynamic team, which is at the cutting edge of developing high-performance machine learning (ML) kernels tailored for next-generation AI hardware. In this role, you will be instrumental in designing optimized compute kernels that facilitate a broad spectrum of ML operators, enabling applications ranging from convolutional neural networks (CNNs) to large language models (LLMs). Your work will involve leveraging low-level programming and hardware-aware optimization techniques to maximize performance and efficiency on modern accelerators. This position offers a unique chance to operate at the nexus of ML, numerical computing, and scalable systems. The Team Join our expanding Kernel Engineering team, which is dedicated to delivering a high-performance compute library that empowers customers to extract maximum performance from their AI hardware. Responsibilities and Duties Assist in the design and implementation of kernels for linear algebra and tensor operations (e.g., GEMM, batched GEMM, convolutions, reductions, elementwise, and fused operations) using C++. Profile and optimize for next-generation AI hardware, focusing on threading, cache locality, memory layout, and kernel launch efficiency. Support performance and correctness by implementing microbenchmarks, regression tests, and numerical validation. Debug issues, resolve bugs, and enhance the quality and functionality of the product. About You You are collaborative and open-minded, with a keen interest in performance optimization and memory-efficient designs, eager to join a team that values innovation and excellence.

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.

Start your journey with us. Develop your career here.AECOM is excited to announce an opportunity for an Associate Director – Civil Engineering, tasked with providing technical leadership on a diverse array of projects catering to data centre clients. You will be involved in various stages, from site due diligence and master planning to detailed designs and construction support. This role is essential for driving business growth, enhancing client relationships, and furthering AECOM’s civil engineering capabilities in the data centre sector.Your collaboration will span across a Civil Engineering Business Unit, working closely with ground engineers, structural engineers, mechanical engineers, electrical engineers, process engineers, architects, project managers, environmental specialists, and surveyors, both in the UK and internationally, supporting our impressive portfolio of data centre projects.As a key figure in the Data Centres Market Sector, you will represent AECOM across EMEA, as well as contribute to the civil engineering expertise in delivering projects for major technology clients. Your focus will be on ensuring technical excellence, resilience, and seamless integration across disciplines, as you work side by side with multidisciplinary teams globally, reinforcing AECOM’s leadership in the Hyperscale and Co-location data centre market.Your Responsibilities:Deliver civil engineering technical leadership and design governance for data centre and critical infrastructure projects, ensuring compliance with AECOM standards and regulatory frameworks.Oversee, review, and endorse civil engineering infrastructure designs and specifications, creating viable solutions for site development, earthworks, drainage, pavements, access, utility infrastructure, and civil engineering related to data centres.Coordinate effectively with other civil engineers and technical specialists to ensure successful delivery of our data centre project portfolio, engaging with ground, electrical, mechanical, and structural engineers, project managers, architects, and environmental consultants in the UK and globally.Enhance client engagement, business development, asset reviews, and expansion or upgrade strategies, while nurturing and developing civil engineers to strengthen AECOM’s technical capabilities within the Data Centres sector.Join Us in Shaping the Future:At AECOM, we offer a comprehensive range of core and personalized benefits designed to support your future well-being, tailored to fit your lifestyle. Enjoy career advancement opportunities, our flexible hybrid working model to maintain a healthy work-life balance, access to technical practice networks, AECOM University, and volunteer days.

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.

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 2023, we successfully secured £13 million in Series A funding, spearheaded by Playground Global, a prominent Silicon Valley deep tech venture capital firm.Our unique access to cutting-edge quantum computers—through collaborations with industry giants such as Google, IBM, and Rigetti—positions us to create foundational intellectual property, guide the evolution of next-generation quantum hardware, and expedite the commercialization of transformative advancements.We are seeking a skilled Quantum Algorithms Scientist to join our dynamic team. The ideal candidate will possess expertise in the theory of algorithms for gate-model quantum computing or closely related fields within quantum computing, quantum information theory, or quantum theory. This role will be pivotal in advancing Phasecraft's mission to develop quantum algorithms tailored for near-term quantum computers. Responsibilities may include topics such as algorithm optimization and design, quantum codes, resource analysis, error mitigation, and hardware benchmarking. You will have the opportunity to cultivate a diverse portfolio of research activities across various dimensions of Phasecraft's interests.Key Responsibilities:Conduct theoretical and applied research focused on near-term quantum computing algorithms and associated theoretical technologies.Collaborate in the preparation of research publications, presentations, patent applications, and other scholarly outputs.Engage in teamwork with full-time staff and affiliated PhD students.Participate in additional initiatives that contribute to the growth and success of Phasecraft.Required Qualifications:Essential:In-depth knowledge of quantum information and/or computational theory.PhD (or imminent completion) in quantum information, quantum computation theory, theoretical computer science, theoretical physics, or a closely related discipline.Proven ability to independently manage research projects while collaborating effectively within a team.A strong publication record in relevant academic fields.Willingness to adapt across various aspects of quantum software and underlying theories.Readiness to engage in other tasks necessary for the firm’s development and success.Desirable:Passion for near-term quantum computing.Experience in implementing algorithms on quantum hardware and/or classical emulation; or a solid theoretical/mathematical research background with aspirations to apply this to quantum computing; or software development capabilities.A genuine enthusiasm for learning and conducting innovative research.Exceptional communication skills.

AECOM seeks an Associate Director for its Data Centres division in Bristol. This position centers on high-voltage substation design, combining technical leadership with project management for complex engineering initiatives in the data centre sector. The role calls for delivering sustainable solutions that align with client needs and industry standards. Key responsibilities Lead and oversee HV substation design projects for data centres, from initial concept through delivery. Conduct feasibility studies and ensure compliance with industry standards and regulatory requirements. Work closely with multidisciplinary teams to support project delivery and maintain strong client relationships. Mentor junior engineers, offering technical guidance and supporting their professional development. Requirements Proven experience managing complex HV substation design projects. Strong knowledge of engineering standards relevant to data centres and substations. Ability to guide and develop junior team members. Skilled at building and maintaining client relationships. This leadership role is based in Bristol, UK.

We are seeking a passionate Learning Technologist Support professional to join our dynamic Education Department at the University of the West of England. This role focuses on developing and enhancing innovative educational programs planned for the 2019/20 academic year. Reporting to the Senior Learning Technologist, you will play a pivotal role in supporting technology-enhanced learning and delivery within the Department and across the broader Faculty.About YouAs a key member of our support team, you will contribute to the development of engaging content, applications, and delivery mechanisms for several new and exciting program areas. Your expertise and experience in the Technology Enhanced Learning (TEL) support sector are vital, along with a solid understanding of higher education and its TEL applications.About UWE BristolAt UWE Bristol, we pride ourselves on being one of the largest providers of higher education in the South West, serving over 30,000 students and boasting a vibrant alumni network of 250,000. Our strong regional connections paired with a global outlook make us a popular choice for students from across the UK and over 140 countries. We achieved an impressive 89% overall student satisfaction in the National Student Satisfaction survey of 2018, ranking us as the top university in the South West and 7th nationally. In 2019, we were honored to be included in the Guardian's Top 30 Universities in the UK and received TEF Gold status.Bristol is a vibrant city known for its creative spirit and cultural richness, making it an attractive destination for both students and employers. With a lively music scene, diverse dining options, and innovative business initiatives, it's no wonder that Bristol is consistently ranked among the best places to live and work in the UK.Further InformationThis is a part-time position requiring 22.2 hours per week on a fixed-term basis for 12 months. In addition to competitive pay rates, UWE Bristol offers a comprehensive benefits package including a generous holiday allowance of 25 days pro-rata, up to 12.5 additional bank holiday/closure days per year, flexible working arrangements, excellent defined benefit pension schemes, and the opportunity to participate in our cycle to work scheme.This role is based at our lively Frenchay Campus, featuring state-of-the-art facilities and resources designed to support student success. With recent investments of £300 million in new learning spaces and accommodation, Frenchay Campus is conveniently located near excellent motorway links and within walking distance of two train stations, making it an ideal location for commuting.

Join Graphcore as a PyTorch Software EngineerAt Graphcore, we are at the forefront of innovation in Artificial Intelligence computing. Our mission is to develop cutting-edge hardware, software, and system infrastructures that will catalyze the next wave of AI advancements and facilitate the widespread integration of AI technologies across diverse industries.As a proud member of the SoftBank Group, Graphcore belongs to a prestigious family of companies that are shaping the future with groundbreaking technologies. Together, we envision a world where Artificial Super Intelligence is a reality, and its advantages are accessible to all.Our diverse teams comprise AI research specialists, silicon designers, software engineers, and systems architects, fostering a culture rich in continuous learning and relentless innovation.Job OverviewAs a key member of the frameworks team, reporting to a Team Lead, you will be instrumental in designing, implementing, optimizing, maintaining, and providing support for software that ensures our machine learning accelerators integrate seamlessly with leading-edge frameworks like PyTorch and Triton.In this dynamic role within our PyTorch team, you will collaborate in a SCRUM environment to deliver new features, enhance performance, conduct code reviews, create technical documentation, engage with upstream communities, maintain the codebase, and provide user support.Your proactive communication skills will be essential as you work closely with fellow engineers across various teams, coordinating and tackling complex technical challenges. As you develop deep expertise in the PyTorch project, you will contribute to shaping the team's technical direction and processes, while ensuring high standards of code quality and complexity management to meet business objectives.

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.

Join Graphcore as a Software Engineer - TritonAt Graphcore, we're pioneers in the realm of Artificial Intelligence compute, dedicated to developing cutting-edge hardware, software, and systems infrastructure that will catalyze the next wave of AI advancements. Our mission is to facilitate the widespread adoption of AI solutions across diverse sectors.As a proud member of the SoftBank Group, we are part of an elite collective of companies that are shaping the future with transformative technologies. Together, we are committed to realizing the vision of Artificial Super Intelligence, ensuring that its benefits are accessible to everyone.Our diverse teams are a blend of AI research experts, silicon engineers, software developers, and systems architects, fostering an environment of continuous learning and relentless innovation.Position OverviewAs a Software Engineer on our Triton team, you will report to a Team Lead and take a crucial role in designing, implementing, optimizing, and maintaining software that guarantees exceptional support for Graphcore's machine learning accelerators within leading machine learning frameworks like PyTorch and Triton (note: “Triton” here refers to the Triton language/compiler, not the inference framework).Your responsibilities will include collaborating within a SCRUM team to deliver new features, enhancing performance, reviewing code, writing technical documentation, engaging with upstream communities, maintaining the codebase, and providing user support.In this role, you will work closely with fellow engineers across various teams, helping coordinate and execute complex technical tasks. Your proactive communication skills will be essential as you develop deep expertise in the Triton project, eventually contributing to the team’s technical direction and processes.

About Graphcore At Graphcore, we are revolutionizing the future of artificial intelligence computing. Our team comprises experts in semiconductor design, software development, and AI, all with extensive experience in creating a comprehensive AI compute stack—from silicon to software and infrastructure at datacenter scale. As a proud member of the SoftBank Group, we are backed by significant long-term investments, allowing us to deliver groundbreaking technology to the rapidly expanding SoftBank AI ecosystem. To harness the immense opportunities within the AI landscape, Graphcore is actively expanding its teams globally. We are committed to assembling the brightest minds to tackle the most challenging problems, in an environment where every individual can make a meaningful impact on our products, the company, and the future of AI. Internship Overview As a Research Intern at Graphcore, you will contribute to advancing AI research and explore innovative ideas that challenge existing boundaries in critical AI and ML issues. The progression of AI over the last decade has been driven by specialized hardware, and we are dedicated to the belief that hardware-aware AI algorithms and AI-optimized hardware will remain pivotal in this exciting field. We seek candidates who have a passion for scientific inquiry and engineering, equipped with both theoretical and practical skills necessary for impactful AI research. During your internship, you will tackle a research question related to machine learning or accelerated computation. This will involve designing experiments, implementing models and algorithms, analyzing data, and presenting your findings with the goal of sharing your work with the broader research community. You will have the autonomy to pursue the most promising approaches while receiving valuable mentorship and guidance. Our research team is engaged in a variety of topics across the field, including but not limited to efficient training and inference, enhancing model capabilities in factuality and reasoning, image and video generation, world models, and molecular generation for life sciences applications. The Research Team Graphcore Research is involved in both foundational and applied research to characterize the computational demands of machine intelligence and to showcase how hardware can propel the next generation of innovative AI models. We publish our findings in leading AI/ML conferences such as NeurIPS, ICML, and ICLR, as well as in specialized workshops, and collaborate with other research teams and organizations worldwide.

About UsGraphcore stands at the forefront of innovation in the realm of Artificial Intelligence compute. We are dedicated to developing cutting-edge hardware, software, and systems infrastructure designed to catalyze the next wave of AI breakthroughs and facilitate the ubiquitous adoption of AI solutions across diverse industries.As a proud member of the SoftBank Group, Graphcore is part of a prestigious consortium of companies that are pioneering some of the most transformative technologies globally. Our united ambition is to enable Artificial Super Intelligence and ensure its benefits are accessible to all.Our diverse teams comprise AI research specialists, silicon designers, software engineers, and systems architects, fostering a vibrant culture of continuous learning and relentless innovation.

We are seeking a highly skilled Lead CNC Programmer for our esteemed client specializing in Swiss-equipped precision machining, located near Bristol, CT. This is a direct-hire opportunity offering a competitive salary and comprehensive benefits package.

Join Our Team at Graphcore At Graphcore, we are pioneering the future of AI computing. Our team consists of industry-leading experts in semiconductors, software, and artificial intelligence, dedicated to building a robust AI compute stack—from silicon and software to comprehensive data center infrastructure. As a proud member of the SoftBank Group, we are backed by substantial long-term investment, empowering us to deliver groundbreaking technology within the rapidly expanding SoftBank AI ecosystem. To seize the vast opportunities in AI, we are enhancing our teams globally, bringing together the brightest minds to tackle the most challenging problems and allowing everyone in our organization to make a meaningful impact on our products and the future of artificial intelligence. Position Overview As a Research Engineer at Graphcore, you will play a pivotal role in advancing AI research, exploring innovative ideas that challenge the boundaries of critical AI and ML issues. Specialized hardware has been a cornerstone in the evolution of AI over the past decade, and we believe that the intersection of hardware-aware AI algorithms and AI-aware hardware will remain essential in propelling this dynamic field forward. We are seeking individuals who possess a strong foundation in machine learning coupled with practical engineering skills to produce impactful AI research. Our ideal candidates will have robust software engineering experience, especially in lower-level programming and performance optimization for hardware efficiency. Our research portfolio covers a diverse range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and more. You will collaborate closely with fellow researchers to brainstorm and implement scalable solutions, contributing to publications and projects that will shape the future of AI hardware. Your Team Graphcore Research engages in both fundamental and applied research to define the computational needs of machine intelligence and showcase how hardware can facilitate the next wave of innovative AI models. We actively publish our findings at leading AI and ML conferences (NeurIPS, ICML, ICLR) and collaborate with various research teams and organizations worldwide. We pride ourselves on fostering a supportive and collaborative environment, where we align our research interests to tackle challenges in areas such as efficient computing, model scaling, and distributed training and inference for diverse AI applications, including sequence- and graph-based data. Our teams are distributed across London, Cambridge, and Bristol, with projects and discussions that bridge all locations.

We are seeking a talented Data Modeler / Architect to join our innovative team. As a key player in our data strategy, you will be responsible for designing robust data models that support our business objectives. You will collaborate with cross-functional teams to ensure data integrity and optimize data flows for various projects.