5 jobs found

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they're at home, in the office, or on the go. This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future will transform the way we all communicate, work and live. For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs. This strategic focus is a reflection of our core values: Staying customer-centric, Inspiring dedication, Persevering, Growing by reflection Huawei Research and Development UK Limited Overview Huawei's vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward. Job Summary The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Scientist to join our team. Our group combines world-class research with impactful applications, earning top honors such as NeurIPS 2020 Black Box Optimisation Challenge - Winners, multiple Best Paper and Best Systems Paper Awards, and industry recognition, including Huawei's Gold Medals and Best Technology Breakthroughs. This role focuses on advancing the state-of-the-art in reinforcement learning, Bayesian optimisation, AI agents, large language models (LLMs), and/or vision-language models (VLMs). You will work at the intersection of fundamental research and applied innovation, developing novel algorithms, architectures, and systems that push the boundaries of AI capabilities. This is a unique opportunity to contribute to high-impact AI research while collaborating with a multidisciplinary and multinational team of scientists and engineers. We value scientific excellence, demonstrated by a strong publication record at top-tier venues, and an eagerness to translate cutting edge ideas into working prototypes and real world applications. Key Responsibilities Conduct original research in RL, BO, AI agents, LLMs, and VLMs, leading to publications in top conferences and journals (e.g., NeurIPS, ICLR, ICML, JMLR, and othersli> Design and implement new algorithms and models that enable advanced reasoning, planning, perception, and multimodal understanding. Design and implement new algorithms for efficient decision making under uncertainty with applications to chemistry, physics, open math problems, and robotics. Collaborate with cross functional teams to integrate research outputs into scalable systems and real world use cases. Explore novel ways to align and enhance AI agents for complex, open ended tasks. Actively engage with the broader research community through publications, talks, and open source contributions. Mentor junior researchers and contribute to the scientific culture of the team. This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Strong research track record with publications at top-tier ML/AI venues: ICML, ICLR, JMLR, NeuRIPS and the like. Deep expertise in at least two of the following: Reinforcement Learning, Bayesian Optimisation, AI agents, LLMs, VLMs. Proficiency in Python and experience with at least one major ML framework (PyTorch, TensorFlow, or JAX). Ability to work in a fast paced, research oriented environment with ambiguous and evolving goals. Passion for bridging fundamental AI research with impactful applications.

A pioneering tech company in the UK seeks a Computer Vision Scientist to lead research in Spatial AI perception algorithms for aerospace and defense applications. You will design algorithms that enable advanced multimodal sensing, contributing to groundbreaking missions in challenging environments. Ideal candidates will possess a PhD in a relevant field and have proven expertise in sensor fusion and scene understanding. Competitive salary and equity options are offered, along with well-being perks and team retreats.

Job description Site Name: UK - Hertfordshire - Stevenage Posted Date: Jan We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK GSK Principal Scientist, Cell Culture Patient Derived Organoids We are looking for a highly motivated scientist with experience in organoid culture and oncology cellular biology to join the Oncology Translational Research team within GSK Oncology Therapeutic Area (TA). The Oncology Translational Research team will partner with Oncology TA team members increase clinical translatability and to contribute to preclinical development programmes within GSK Oncology TA. The successful candidate will work as part of a team that, by exploiting patient-derived organoids, is developing and implementing cutting-edge cellular, genomic and molecular techniques with a multimodality analytic approach, plus machine learning models to improve cancer patient risk stratification as well as to predict future targeted and/or immuno-therapy susceptibilities. We value curiosity, clear thinking, practical problem solving and a focus on impact for patients. This role offers growth, the chance to shape new technologies, and a direct contribution to GSK's mission of uniting science, technology and talent to get ahead of disease together. In this role you will Be involved in the expansion and culture patient-derived organoids independently or in co-culture with other cell types, such as immune cells or fibroblasts. Perform quality control procedures on patient-derived organoids, including evaluating cell density, proliferation rates, and cytotoxicity, as well as carrying out cell culture and expansion. Conduct flow cytometry analyses on organoids and other cell types. Collect and report experimental data to the laboratory head. Collaborate and cooperate with scientists from King's College London within the GSK-KCL Translational partnership. Why you? Basic Qualifications & Skills: PhD in Cell Biology/Oncology or related, OR a Masters with equivalent experience, plus a multidisciplinary mix of training/expertise in Oncology and Cancer cell biology. Significant experience in cell culture techniques (patient-derived organoids, immune cells, cancer associated fibroblasts), cytotoxicity analysis. Flow cytometry experience (multi-colour panel preparation, antibodies titration, cell staining, FlowJo analysis) Ability to deliver high quality, consistent results in a timely fashion with a positive can-do and result oriented attitude Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Background of immunology A track record of scientific publication Experience in collaboration with biopharma Experience in laboratory automation. Closing Date for Applications 13th February 2026 Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at

Job Requisition ID # 25WD91668 AI Research Scientist/Engineer (Multimodal) Position Overview As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.This role will report to a Research Manager in the AI Lab. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices. Explore new data sources and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, PyTorch Lightning, or similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals Preferred Qualifications Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience) Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction doma Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. Salary transparency Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:Please search for open jobs and apply internally (not on this external site).