1,225 AI Researcher jobs in the United Kingdom
Senior AI Researcher
Posted 1 day ago
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Key Responsibilities:
- Conduct high-impact research in areas such as machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
- Design and implement novel algorithms and models to address complex AI challenges.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with cross-functional teams to translate research breakthroughs into practical applications and product features.
- Develop and maintain state-of-the-art AI systems and frameworks.
- Stay at the forefront of AI research, identifying emerging trends and opportunities.
- Mentor junior researchers and contribute to the growth of the research team.
- Contribute to the strategic direction of the AI research roadmap.
- Develop and present research proposals and secure funding where applicable.
- Engage with industry partners and academic collaborators.
- Create prototypes and proofs-of-concept for new AI technologies.
- Contribute to the open-source AI community.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong publication record.
- 5+ years of post-doctoral research experience or equivalent industry experience in AI/ML.
- Deep theoretical understanding and practical experience in one or more AI subfields (ML, DL, NLP, CV, RL).
- Proficiency in programming languages such as Python and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Proven ability to conduct independent research and deliver high-quality results.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and presentation skills, with the ability to articulate complex research ideas clearly.
- Demonstrated experience in leading research projects or mentoring junior researchers.
- Ability to thrive in a collaborative, fast-paced, and fully remote research environment.
- Experience with cloud computing platforms and distributed training is a plus.
Lead AI Researcher
Posted 2 days ago
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Key Responsibilities:
- Define and lead strategic research projects in areas such as generative AI, computer vision, and explainable AI.
- Supervise and guide a team of AI researchers, fostering a collaborative and innovative environment.
- Design and conduct experiments to validate new AI models and techniques.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with engineering teams to translate research breakthroughs into practical applications.
- Stay at the forefront of AI advancements by actively engaging with the academic and industry research communities.
- Develop proposals for new research directions and secure funding where applicable.
- Present research outcomes to stakeholders across the organization.
Qualifications:
- Ph.D. in Computer Science, Machine Learning, or a closely related field.
- A strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Extensive experience in leading research projects and managing research teams.
- Deep understanding of various AI paradigms, including deep learning, reinforcement learning, and probabilistic models.
- Proficiency in Python and ML frameworks like PyTorch or TensorFlow.
- Excellent analytical, problem-solving, and communication skills.
- Experience with large-scale data processing and distributed computing is a plus.
- Ability to think critically and creatively to solve complex research challenges.
Lead AI Researcher
Posted 2 days ago
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The Lead AI Researcher will be instrumental in defining research roadmaps, identifying new opportunities for AI applications, and leading the execution of complex research projects. You will be responsible for designing, implementing, and evaluating novel AI models and algorithms, focusing on areas such as deep learning, natural language processing, computer vision, or reinforcement learning. This role requires a hands-on approach to research, including data analysis, experimentation, and validation. You will mentor and guide junior researchers, fostering a collaborative and intellectually stimulating environment.
Key responsibilities include staying abreast of the latest advancements in AI and machine learning, publishing research findings in reputable journals or conferences, and translating research outcomes into practical applications. You will collaborate closely with engineering teams to integrate AI models into product development cycles. The ideal candidate will possess a PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field, with a proven track record of significant research contributions. Exceptional programming skills in Python and experience with AI frameworks like TensorFlow or PyTorch are essential. Strong analytical, problem-solving, and communication skills are critical for success in this remote capacity. This position requires individuals who are self-motivated, creative, and capable of working independently while contributing effectively to a globally distributed team. Our client is committed to fostering an inclusive and innovative work culture, offering a truly remote experience.
Lead AI Researcher
Posted 6 days ago
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Graduate AI Researcher
Posted 8 days ago
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Key Responsibilities:
- Assist senior researchers in designing and conducting experiments related to artificial intelligence and machine learning.
- Implement and test AI algorithms and models using programming languages such as Python.
- Analyze large datasets to identify patterns and insights relevant to AI research.
- Contribute to the development and refinement of AI models and frameworks.
- Document research findings, methodologies, and results clearly and concisely.
- Collaborate with team members on research projects and share findings during team meetings.
- Stay updated with the latest advancements and research papers in the field of AI.
- Assist in the preparation of research papers for publication in conferences and journals.
- Support the development of proof-of-concepts and prototypes.
- Engage actively in learning and applying new AI techniques and tools.
Qualifications:
- Currently pursuing or recently completed a Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or a related quantitative field.
- Strong programming skills, particularly in Python, and familiarity with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of fundamental AI/ML concepts, algorithms, and data structures.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Good written and verbal communication skills.
- Enthusiasm for AI research and a desire to learn.
- Previous research project experience or relevant internships are a plus.
Principal AI Researcher
Posted 12 days ago
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Job Description
Key Responsibilities:
- Conduct advanced research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or related AI fields.
- Develop and implement novel AI models, algorithms, and methodologies.
- Design and execute experiments to validate research hypotheses and assess model performance.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate research findings into AI-powered products and services.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of innovation and scientific rigor.
- Stay abreast of the latest advancements in AI and machine learning research.
- Contribute to the strategic direction of the company's AI research roadmap.
- Present research findings and technical insights to stakeholders at various levels.
- Ensure the ethical considerations and responsible development of AI technologies.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- A minimum of 8 years of post-doctoral research experience, with a strong publication record in leading AI conferences/journals.
- Demonstrated expertise in one or more core AI domains (e.g., NLP, CV, RL, deep learning).
- Proficiency in programming languages such as Python, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data processing and distributed computing.
- Strong mathematical and statistical foundation.
- Excellent problem-solving, analytical, and critical thinking skills.
- Proven ability to lead research projects and mentor others.
- Outstanding communication and presentation skills, with the ability to convey complex ideas effectively.
- Experience in building and deploying AI models into production environments is a plus.
This remote role is perfect for a visionary researcher eager to shape the future of artificial intelligence.
Senior Quantum AI Researcher
Posted 1 day ago
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Responsibilities:
- Conduct advanced research into quantum algorithms for AI tasks such as optimization, pattern recognition, and deep learning.
- Develop and test new quantum-classical hybrid algorithms and frameworks.
- Collaborate with physicists and computer scientists to simulate and implement quantum AI models on available quantum hardware and simulators.
- Stay abreast of the latest developments in quantum computing, AI, and machine learning, identifying opportunities for innovation.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and contribute to the strategic direction of the AI research roadmap.
- Evaluate the performance and feasibility of quantum AI solutions for real-world problems.
- Contribute to patent applications and intellectual property development.
- Ensure adherence to all safety and ethical guidelines in research practices.
- Participate in grant writing and funding proposal development.
- PhD in Computer Science, Physics, Mathematics, or a related field with a focus on AI, quantum computing, or machine learning.
- Proven track record of research publications in reputable journals and conferences.
- Strong theoretical understanding of quantum mechanics and quantum computation.
- Proficiency in programming languages such as Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with quantum programming libraries (e.g., Qiskit, Cirq) and quantum simulators.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and as part of a multidisciplinary team.
- Strong communication and presentation skills.
- Minimum of 5 years of post-doctoral research experience in a relevant field.
- Experience with high-performance computing environments is a plus.
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Lead Generative AI Researcher
Posted 8 days ago
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Key responsibilities will include:
- Leading research initiatives in generative AI, including large language models (LLMs), diffusion models, and other advanced generative techniques.
- Developing and implementing novel algorithms and methodologies to improve the performance, efficiency, and applicability of generative models.
- Designing and conducting experiments to validate research hypotheses and demonstrate model capabilities.
- Collaborating with engineering teams to translate research prototypes into production-ready systems.
- Publishing research findings in top-tier academic conferences and journals.
- Mentoring and guiding a team of AI researchers, fostering a collaborative and intellectually stimulating research environment.
- Staying abreast of the latest advancements and trends in AI, machine learning, and related fields.
- Identifying new research opportunities and potential applications for generative AI.
- Presenting research progress and outcomes to technical and non-technical stakeholders.
- Contributing to the strategic direction of the company's AI research roadmap.
The successful applicant will have a Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a closely related quantitative field, with a strong focus on generative models. A minimum of 7 years of post-doctoral research experience in generative AI is required, with a demonstrated track record of leading research projects and delivering impactful results. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and significant experience with large-scale model training is essential. Strong mathematical and statistical foundations, excellent programming skills (Python), and experience with distributed computing are also required. Outstanding communication, presentation, and interpersonal skills are paramount for collaborating effectively within a global team. This is an unparalleled opportunity to shape the future of generative AI in a highly innovative and research-driven environment.
Remote Lead AI Researcher
Posted 9 days ago
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Job Description
Key responsibilities include:
- Leading and directing research initiatives in areas such as machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
- Developing and implementing innovative AI models and algorithms to solve complex real-world problems.
- Designing and conducting experiments to validate and refine AI systems.
- Mentoring and guiding a team of talented AI researchers and engineers.
- Collaborating with cross-functional teams to integrate AI solutions into products and services.
- Staying abreast of the latest research and developments in AI and machine learning.
- Publishing research findings in top-tier scientific journals and presenting at leading conferences.
- Contributing to the strategic vision and roadmap for AI research and development within the organization.
- Securing and managing research grants and funding where applicable.
- Ensuring ethical considerations and responsible AI practices are integrated into all research efforts.
The ideal candidate will hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a minimum of 10 years of experience in AI research, including significant experience in leading research teams. A strong publication record in reputable AI venues and a proven track record of delivering impactful AI solutions are essential. Expertise in one or more core AI areas, along with proficiency in programming languages like Python and relevant AI frameworks (e.g., TensorFlow, PyTorch), is required. Exceptional problem-solving, critical thinking, and communication skills are paramount for this remote leadership position. You will be joining a dynamic, collaborative, and intellectually stimulating environment where you can make a significant impact on the future of technology.
Senior Quantum AI Researcher
Posted 13 days ago
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Responsibilities:
- Conduct cutting-edge research in Quantum AI.
- Develop and implement novel quantum algorithms for machine learning tasks.
- Design and execute experiments, simulations, and theoretical analyses.
- Collaborate with a global, remote team of researchers and engineers.
- Publish findings in leading peer-reviewed journals and present at conferences.
- Contribute to patent applications and intellectual property development.
- Mentor junior researchers and interns.
- Stay abreast of the latest advancements in quantum computing and AI.
- PhD in Computer Science, Physics, Mathematics, or a related quantitative field.
- Demonstrated expertise in either Artificial Intelligence or Quantum Computing.
- Strong programming skills, particularly in Python.
- Experience with quantum computing frameworks (e.g., Qiskit, Cirq).
- Proficiency in machine learning techniques and libraries (e.g., TensorFlow, PyTorch).
- Excellent analytical and problem-solving abilities.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- Proven track record of research output (publications, patents).
- Experience with hybrid quantum-classical algorithms or variational quantum algorithms is a plus.