622 AI Researcher jobs in the United Kingdom
Lead AI Researcher
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Key Responsibilities:
- Lead and manage AI research projects from ideation to execution.
- Develop novel AI algorithms and methodologies.
- Conduct theoretical and empirical research in AI and machine learning.
- Guide and mentor a team of AI researchers and engineers.
- Analyze research results and translate them into practical applications.
- Publish research findings in leading academic journals and conferences.
- Collaborate with internal teams and external partners on research initiatives.
- Stay abreast of the latest advancements in AI and relevant scientific fields.
- Contribute to the strategic direction of the company's AI research efforts.
- Ensure high-quality execution and timely delivery of research outcomes.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 8 years of research experience in AI, with a significant portion in a leadership role.
- Proven track record of groundbreaking research, demonstrated through publications and contributions.
- Expertise in one or more AI subfields (e.g., Deep Learning, NLP, Computer Vision, Reinforcement Learning).
- Strong programming skills (e.g., Python) and experience with ML frameworks.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead and inspire a research team.
- Exceptional communication and presentation skills for conveying complex research ideas.
- Experience in managing research budgets and projects.
- Ability to thrive in a fast-paced, innovative, and fully remote research environment.
Principal AI Researcher
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Our client is at the forefront of AI innovation and is seeking a brilliant and visionary Principal AI Researcher to join their distinguished team. This role offers the flexibility to work remotely, contributing to groundbreaking research from your preferred location. You will lead ambitious research projects, pushing the boundaries of artificial intelligence, machine learning, and deep learning to develop novel algorithms and applications. Your contributions will shape the future of intelligent systems.
Key responsibilities include conceptualizing and designing cutting-edge AI research initiatives, conducting rigorous theoretical and empirical analysis, and developing advanced machine learning models. You will publish research findings in top-tier conferences and journals, contributing to the scientific community. Mentoring junior researchers and collaborating with cross-functional teams, including product development and engineering, is essential. You will stay abreast of the latest advancements in AI and identify new research avenues. This role requires a deep understanding of current AI paradigms, ethical considerations, and the potential societal impact of emerging technologies.
The ideal candidate will possess a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a minimum of 7 years of post-doctoral research experience or equivalent industry experience. A strong publication record in leading AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) is mandatory. Expertise in at least one core AI area (e.g., natural language processing, computer vision, reinforcement learning, generative models) and proficiency in programming languages such as Python, along with deep learning frameworks (e.g., TensorFlow, PyTorch), are required. Exceptional analytical, problem-solving, and critical thinking skills are paramount. You should possess outstanding communication and presentation skills, with the ability to articulate complex ideas effectively to diverse audiences. A passion for innovation and a drive to solve challenging problems are essential for this role.
Qualifications:
- PhD in AI, Machine Learning, or related field.
- 7+ years of research experience.
- Strong publication record in top AI venues.
- Expertise in NLP, Computer Vision, or Reinforcement Learning.
- Proficiency in Python and deep learning frameworks.
- Excellent analytical and problem-solving abilities.
- Strong communication and presentation skills.
- Leadership and mentoring experience.
Senior Quantum AI Researcher
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- Conducting advanced research into quantum machine learning algorithms and their applications.
- Developing and optimizing quantum algorithms for specific AI tasks.
- Collaborating with a multidisciplinary team of physicists, computer scientists, and engineers.
- Translating complex research findings into practical solutions and potential commercial applications.
- Publishing research findings in top-tier journals and presenting at international conferences.
- Mentoring junior researchers and contributing to the intellectual growth of the team.
- Ph.D. in Quantum Physics, Computer Science, Mathematics, or a related field with a focus on quantum computing or AI.
- Proven track record of research and publications in quantum computing and/or AI.
- Strong programming skills in Python, Qiskit, Cirq, or similar quantum computing frameworks.
- Expertise in quantum algorithms, error correction, and quantum complexity theory.
- Solid understanding of various machine learning techniques and their theoretical underpinnings.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities.
Senior Quantum AI Researcher
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Senior Quantum AI Researcher
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Senior AI Researcher - Computer Vision
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Responsibilities:
- Conduct advanced research in computer vision and deep learning.
- Develop and implement novel algorithms for image and video analysis.
- Design and train deep neural networks for tasks like object detection, segmentation, and recognition.
- Evaluate and optimize model performance for real-world applications.
- Collaborate with software engineers to integrate research prototypes into production systems.
- Publish research findings in leading AI conferences and journals.
- Stay current with the latest advancements in computer vision and AI research.
- Mentor junior researchers and interns.
- Contribute to the formulation of research strategy and project roadmaps.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- 5+ years of research experience in computer vision.
- Strong publication record in top AI/CV conferences (e.g., CVPR, ICCV, ECCV, NeurIPS).
- Expertise in deep learning frameworks (TensorFlow, PyTorch) and Python.
- Proficiency in image processing and computer vision libraries (e.g., OpenCV).
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a remote team environment.
Principal AI Researcher - Computer Vision
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As a Principal AI Researcher, you will lead a team of talented researchers and engineers in exploring and developing novel computer vision algorithms and deep learning models. Your primary responsibilities will include defining research agendas, designing and conducting experiments, and publishing findings in top-tier academic conferences and journals. You will oversee the development of advanced AI systems, ensuring their robustness, scalability, and performance.
Key tasks involve staying at the cutting edge of AI research, identifying emerging trends, and translating theoretical concepts into practical applications. You will mentor junior researchers, foster a collaborative research environment, and secure research funding through grant proposals and industry partnerships. This is an on-site role, fostering intensive collaboration and knowledge sharing within a world-class research facility.
We are looking for candidates with a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a distinguished publication record. Proven experience in leading research projects, particularly in computer vision and deep learning (CNNs, Transformers, etc.), is mandatory. Exceptional analytical, problem-solving, and critical thinking skills are required, along with strong programming abilities in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow). Experience with large-scale data processing and cloud computing environments is highly desirable. This is an exceptional opportunity for an visionary researcher to make a significant impact in the field of AI.
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Lead AI Researcher - Generative Models
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Responsibilities:
- Lead and conduct advanced research in generative models, including GANs, VAEs, diffusion models, and transformers.
- Develop novel AI algorithms and architectures for creative content generation, data augmentation, and simulation.
- Design and implement deep learning models using frameworks like TensorFlow, PyTorch, or JAX.
- Mentor and guide a team of AI researchers and engineers.
- Collaborate with cross-functional teams to integrate AI research into practical applications.
- Publish research findings in top-tier AI conferences and journals.
- Stay at the forefront of AI advancements and identify emerging research trends.
- Contribute to intellectual property development (patents).
- Present research results to technical and non-technical audiences.
- Manage research projects from ideation to implementation.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Demonstrated experience (5+ years post-PhD or equivalent) in AI research, with a specialization in generative models.
- Strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or equivalent.
- Expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Proficiency in Python and relevant scientific computing libraries (NumPy, SciPy).
- Experience with large-scale data processing and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills.
- Must be eligible to work remotely from within the UK.
Lead AI Researcher - Computer Vision
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As the Lead AI Researcher, you will be responsible for directing research initiatives, formulating hypotheses, designing experiments, and interpreting results within the domain of computer vision. Your expertise will guide the development of advanced techniques for image recognition, object detection, segmentation, and scene understanding. You will mentor junior researchers, contribute to academic publications and patents, and present findings at international conferences. A deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch), convolutional neural networks (CNNs), and transformer architectures is essential. You will also play a key role in identifying emerging trends and opportunities in computer vision research and applying them to practical applications.
Key responsibilities include:
- Leading and executing research projects in computer vision, including image classification, object detection, segmentation, and generative models.
- Developing novel deep learning architectures and algorithms for visual understanding.
- Designing and implementing rigorous experimental methodologies and evaluating model performance.
- Mentoring and guiding a team of AI researchers and engineers.
- Collaborating with cross-functional teams to integrate research outputs into product development.
- Publishing research findings in top-tier academic journals and conferences.
- Securing patents for novel AI technologies.
- Staying current with the latest advancements in computer vision and machine learning.
- Presenting research proposals and results to stakeholders and management.
To be considered for this role, you must possess a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a specialization in Computer Vision. You should have a minimum of 7 years of research experience post-PhD, with a strong publication record in leading computer vision conferences (e.g., CVPR, ICCV, ECCV) and journals. Proven experience in leading research teams and managing complex projects is required. Proficiency in Python and deep learning frameworks such as TensorFlow and PyTorch is mandatory. Strong theoretical understanding of computer vision principles, deep learning, and machine learning algorithms is critical. Excellent communication, presentation, and interpersonal skills are essential for effective collaboration and knowledge sharing in a remote setting. Join our team in **Bristol, South West England, UK**, and contribute to the future of visual intelligence.
Principal AI Researcher, Generative Models
Posted 10 days ago
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The ideal candidate will possess a Ph.D. in Computer Science, Machine Learning, or a closely related field, with a significant track record of research in generative models, deep learning, or related areas. You should have extensive experience with major AI frameworks and a strong understanding of mathematical principles underpinning AI. Excellent analytical, problem-solving, and critical thinking skills are paramount. You will need to be a self-starter, highly motivated, and capable of working independently in a remote setting while effectively collaborating with a global team. A passion for innovation and a desire to tackle complex, unsolved problems in AI are essential.
Key responsibilities:
- Lead cutting-edge research in generative AI models, including GANs, VAEs, and diffusion models.
- Develop and implement novel algorithms and techniques for AI synthesis and creation.
- Conduct rigorous theoretical and empirical analysis of AI models.
- Design and execute experiments to validate research hypotheses.
- Collaborate with research teams to integrate new findings into AI platforms.
- Publish research results in leading AI conferences and journals.
- Mentor junior researchers and contribute to a culture of innovation.
- Stay abreast of the latest advancements in AI research and identify new research directions.
- Contribute to patent applications and intellectual property development.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 7+ years of research experience in AI, with a specialization in generative models or deep learning.
- Proven track record of publications in top-tier AI conferences and journals.
- Extensive experience with AI frameworks such as TensorFlow, PyTorch, or JAX.
- Strong theoretical foundation in machine learning, statistics, and mathematics.
- Proficiency in programming languages like Python.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding communication and presentation skills.
- Ability to work independently and collaboratively in a fully remote environment.