3,506 AI Research jobs in the United Kingdom
AI Research Scientist - Deep Learning
Posted 1 day ago
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Key Responsibilities:
- Conduct cutting-edge research in deep learning, exploring new architectures, algorithms, and training methodologies.
- Develop, implement, and rigorously test advanced deep learning models for complex problem domains.
- Collaborate with a global team of researchers and engineers to translate research ideas into practical applications.
- Publish research findings in top-tier AI conferences and journals.
- Contribute to the intellectual property portfolio through patent applications.
- Stay abreast of the latest advancements and trends in the fields of AI, machine learning, and deep learning.
- Design and execute experiments to validate hypotheses and measure the performance of AI models.
- Develop robust and scalable AI solutions that can be integrated into production systems.
- Mentor junior researchers and interns, fostering a culture of innovation and knowledge sharing.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Contribute to the strategic direction of the research roadmap and identify new research opportunities.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 5 years of post-doctoral or industry research experience in deep learning.
- Proven track record of impactful research contributions, demonstrated through publications in leading AI venues (e.g., NeurIPS, ICML, ICLR, CVPR).
- Deep expertise in various deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong theoretical understanding of machine learning fundamentals, statistical modeling, and optimization techniques.
- Proficiency in programming languages commonly used in AI research, such as Python.
- Experience with large-scale data processing and distributed computing is highly desirable.
- Excellent problem-solving skills, creativity, and a passion for scientific discovery.
- Strong written and verbal communication skills, with the ability to articulate complex ideas clearly.
- Ability to work independently and collaboratively in a remote research environment.
- Experience in areas such as natural language processing, computer vision, reinforcement learning, or generative models is a plus.
AI Research Scientist - Deep Learning
Posted 2 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in deep learning, machine learning, and related AI fields.
- Design, implement, and evaluate novel algorithms and models for complex AI challenges.
- Develop and train large-scale neural networks and other deep learning architectures.
- Collaborate with a global team of researchers and engineers to bring research ideas to fruition.
- Publish research findings in top-tier academic conferences and journals.
- Stay abreast of the latest advancements in AI and machine learning literature.
- Develop prototypes and proof-of-concepts for new AI applications.
- Contribute to the development of open-source AI libraries and tools.
- Present research outcomes to technical and non-technical audiences.
- Mentor junior researchers and contribute to the growth of the AI research community.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Demonstrated research experience and a strong publication record in deep learning.
- Proficiency in programming languages such as Python and experience with AI frameworks (e.g., TensorFlow, PyTorch).
- Deep understanding of machine learning principles, statistical modeling, and algorithms.
- Experience with large datasets and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work independently and collaboratively in a remote research setting.
This is a unique opportunity for a highly motivated researcher to contribute to transformative AI technologies and influence the future of the field. You will be part of a forward-thinking organisation that values innovation and scientific rigor.
AI Research Scientist - Deep Learning
Posted 3 days ago
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AI Research Scientist, Deep Learning
Posted 3 days ago
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Job Description
Key Responsibilities:
- Conduct fundamental and applied research in areas such as deep learning, neural networks, natural language processing, computer vision, and reinforcement learning.
- Design, develop, and implement state-of-the-art AI models and algorithms using relevant programming languages and frameworks (e.g., Python, TensorFlow, PyTorch).
- Collaborate with engineering teams to translate research prototypes into production-ready AI solutions.
- Stay abreast of the latest advancements in AI and machine learning by reading research papers, attending conferences, and engaging with the research community.
- Publish research findings in top-tier academic journals and conferences.
- Develop and implement experimental methodologies to rigorously evaluate the performance and robustness of AI models.
- Mentor junior researchers and contribute to the overall technical growth of the team.
- Identify and explore new research avenues and potential applications for AI technologies.
- Contribute to the intellectual property portfolio through invention disclosures and patent applications.
- Engage in cross-functional collaborations to define research problems and drive innovation.
The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record. Demonstrated expertise in deep learning frameworks (TensorFlow, PyTorch) and proficiency in Python are essential. Experience with large-scale data processing and distributed computing is highly beneficial. Exceptional analytical, problem-solving, and critical thinking skills are required. This role requires a passion for research, a proactive approach, and the ability to work independently and collaboratively in a remote environment. You will be contributing to the future of AI from Bradford, West Yorkshire, UK , with the flexibility of a remote setup.
AI Research Scientist (Deep Learning)
Posted 5 days ago
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AI Research Scientist (Deep Learning)
Posted 10 days ago
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Job Description
AI Research Scientist - Deep Learning
Posted 10 days ago
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Job Description
You will be instrumental in pushing the boundaries of artificial intelligence, developing novel algorithms, and implementing advanced machine learning models. Your work will involve exploring new research areas, designing experiments, and translating theoretical concepts into practical applications that solve complex real-world problems. You will join a team of passionate researchers and engineers dedicated to advancing the field of AI and its applications across various industries.
Key Responsibilities:
- Conduct cutting-edge research in Deep Learning, Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Design, develop, and implement novel AI algorithms and models.
- Analyze large datasets to identify patterns, insights, and opportunities for model improvement.
- Collaborate with software engineers to integrate AI models into production systems.
- Publish research findings in top-tier academic conferences and journals.
- Stay current with the latest advancements in AI and machine learning research.
- Develop prototypes and proof-of-concepts for new AI-driven features and products.
- Evaluate and benchmark the performance of AI models.
- Contribute to the strategic direction of the company's AI initiatives.
- Mentor junior researchers and contribute to a collaborative research environment.
- Present research findings to technical and non-technical audiences.
- Contribute to the patenting of new AI technologies.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Strong theoretical foundation and practical experience in Deep Learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python.
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work effectively in a hybrid team environment.
- Experience in areas like generative models, explainable AI, or federated learning is a plus.
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AI Research Scientist - Deep Learning
Posted 11 days ago
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Job Description
Key Responsibilities:
- Research, design, and implement novel deep learning algorithms and architectures.
- Develop and train machine learning models for various AI applications, including NLP, computer vision, and reinforcement learning.
- Conduct comprehensive experiments to evaluate model performance, efficiency, and scalability.
- Process, clean, and analyse large datasets for model training and validation.
- Utilise deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Stay abreast of the latest advancements and research trends in artificial intelligence and deep learning.
- Collaborate effectively with other researchers and engineers in a remote team setting.
- Document research findings, methodologies, and results comprehensively.
- Contribute to scientific publications, patents, and conference presentations.
- Optimize models for deployment in production environments.
- Troubleshoot and debug complex AI systems.
- PhD or MSc in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 4 years of experience in AI research and development, with a strong focus on deep learning.
- Demonstrated expertise in building and deploying deep learning models.
- Proficiency in Python programming and core machine learning libraries (e.g., NumPy, SciPy, Scikit-learn).
- Extensive experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch).
- Strong understanding of machine learning theory, algorithms, and best practices.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote team.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
- Publications in top-tier AI conferences or journals are highly desirable.
AI Research Scientist - Deep Learning
Posted 12 days ago
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Job Description
Responsibilities:
- Conduct original research in deep learning, machine learning, and related AI fields.
- Develop, train, and evaluate novel AI models and algorithms.
- Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Analyze large datasets to extract insights and inform model development.
- Collaborate with engineering teams to deploy research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning research.
- Publish research findings in top-tier conferences and journals.
- Present research results to technical and non-technical audiences.
- Contribute to the overall research strategy and roadmap.
- Mentor junior researchers and interns.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research contributions, demonstrated through publications and/or patents.
- Strong theoretical understanding of deep learning concepts (e.g., CNNs, RNNs, Transformers).
- Proficiency in programming languages like Python.
- Extensive experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Excellent problem-solving skills and the ability to think critically.
- Strong communication and presentation skills, with the ability to articulate complex ideas clearly.
- Experience working in a hybrid or remote team environment is beneficial.
AI Research Scientist - Deep Learning
Posted 16 days ago
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Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for complex AI challenges.
- Conduct rigorous research to advance the state-of-the-art in areas such as natural language processing, computer vision, reinforcement learning, or generative models.
- Collaborate with a global team of researchers and engineers to translate research findings into practical applications.
- Publish research findings in top-tier AI conferences and journals.
- Stay abreast of the latest advancements in AI and machine learning.
- Develop and maintain high-quality, production-ready code for research prototypes and experiments.
- Mentor junior researchers and contribute to the intellectual growth of the team.
- Present research progress and findings to internal stakeholders and the broader research community.
- Contribute to the strategic direction of AI research within the organization.
- Ensure ethical considerations and bias mitigation are integrated into AI development processes.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Deep understanding of deep learning architectures, algorithms, and frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, scikit-learn).
- Experience with large-scale data processing and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
- Ability to work independently and manage research projects effectively in a remote setting.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus.
- Demonstrated ability to innovate and drive research initiatives.
If you are a passionate AI researcher looking to make a significant impact from the comfort of your home office, this role is an unparalleled opportunity.