3,783 AI Research Scientist jobs in the United Kingdom
AI Research Scientist - Machine Learning
Posted today
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Job Description
Key Responsibilities:
- Conduct advanced research in machine learning, deep learning, and related AI fields.
- Develop and implement novel algorithms and models to solve complex problems in areas such as computer vision, natural language processing, or reinforcement learning.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large datasets to extract meaningful insights and identify patterns.
- Collaborate with engineering teams to translate research findings into production-ready AI solutions.
- Stay current with the latest academic research and industry trends in AI and machine learning.
- Publish research findings in top-tier conferences and journals.
- Develop and maintain efficient, scalable, and robust AI systems.
- Contribute to the intellectual property portfolio of the company through patent applications.
- Mentor junior researchers and engineers, fostering a culture of innovation and scientific rigor.
- Present research progress and findings to technical and non-technical audiences.
- Contribute to the strategic direction of AI research initiatives.
- Ensure ethical considerations and responsible AI development practices are integrated into research projects.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of impactful research in machine learning, demonstrated through publications, patents, or open-source contributions.
- Strong theoretical foundation in machine learning, statistical modeling, and optimization.
- Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with data manipulation and analysis tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts.
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
- Familiarity with big data technologies (e.g., Spark) is desirable.
- Ability to work effectively both independently and as part of a collaborative research team.
- Experience in a hybrid work environment.
AI Research Scientist - Machine Learning
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in machine learning and AI.
- Develop and implement novel AI algorithms and models.
- Design and execute experiments to evaluate AI system performance.
- Analyze large and complex datasets to extract meaningful insights.
- Publish research findings in leading academic venues.
- Collaborate with cross-functional teams to integrate AI solutions.
- Stay abreast of the latest advancements in AI and emerging technologies.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and contribute to a culture of innovation.
- Translate research concepts into practical applications.
Advance your AI career in Aberdeen, Scotland, UK , with a company dedicated to pioneering technological breakthroughs.
AI Research Scientist - Machine Learning
Posted today
Job Viewed
Job Description
The AI Research Scientist will be responsible for conceptualizing, designing, and implementing novel machine learning algorithms and models to solve complex real-world problems. You will conduct cutting-edge research, publish findings in top-tier conferences and journals, and contribute to the development of next-generation AI products and services.
Key Responsibilities:
- Conducting theoretical and applied research in machine learning, deep learning, and related AI fields.
- Developing, testing, and deploying advanced ML models for various applications, including but not limited to computer vision, natural language processing, and predictive analytics.
- Collaborating with engineering teams to translate research prototypes into robust, scalable production systems.
- Staying abreast of the latest advancements in AI research and identifying opportunities for innovation.
- Writing high-quality research papers for publication in leading academic venues.
- Presenting research findings at internal meetings, external conferences, and workshops.
- Mentoring junior researchers and contributing to a collaborative research environment.
- Exploring new data sources and methodologies to enhance model performance.
- Ensuring the ethical considerations and responsible deployment of AI technologies.
- Contributing to intellectual property development, including patent applications.
Qualifications:
- Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of research contributions, evidenced by publications in reputable journals or conference proceedings.
- Strong theoretical foundation and practical experience in various ML techniques (e.g., supervised, unsupervised, reinforcement learning).
- Proficiency in programming languages commonly used in AI research, such as Python, and libraries like TensorFlow, PyTorch, scikit-learn.
- Experience with large datasets and distributed computing frameworks.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and as part of a remote team.
This is a unique opportunity for a passionate AI researcher to push the boundaries of what's possible in artificial intelligence from a remote setting, impacting the technological landscape originating from the UK.
AI Research Scientist - Machine Learning
Posted 1 day ago
Job Viewed
Job Description
- Conduct cutting-edge research in machine learning and artificial intelligence.
- Develop, implement, and test novel AI algorithms and models.
- Analyze large datasets to identify patterns and insights.
- Collaborate with engineering teams to integrate AI models into production systems.
- Stay abreast of the latest advancements in AI and machine learning research.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers.
- Contribute to the development of intellectual property.
- Design and conduct experiments to validate research hypotheses.
- Present research progress and results to stakeholders and the wider scientific community.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven research experience with publications in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Strong theoretical foundation in machine learning, deep learning, statistics, and algorithms.
- Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch).
- Experience with data manipulation and analysis tools.
- Ability to work independently and as part of a collaborative research team.
- Excellent analytical and problem-solving skills.
- Strong communication and presentation skills.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
- Demonstrated ability to conceptualize and execute complex research projects.
AI Research Scientist - Machine Learning
Posted 1 day ago
Job Viewed
Job Description
As an AI Research Scientist, you will be instrumental in pushing the boundaries of artificial intelligence by conducting groundbreaking research and developing novel machine learning algorithms and models. Your work will focus on areas such as deep learning, reinforcement learning, natural language processing, computer vision, or predictive analytics, contributing to the development of next-generation AI solutions. You will collaborate with a world-class team of researchers and engineers, publish findings, and potentially contribute to patent applications.
Key Responsibilities:
- Conduct fundamental and applied research in machine learning and artificial intelligence.
- Develop, implement, and evaluate new AI algorithms and models.
- Design and execute experiments to test hypotheses and validate research findings.
- Analyze large and complex datasets to extract meaningful insights and patterns.
- Collaborate with cross-functional teams to integrate AI solutions into product development.
- Stay abreast of the latest advancements in AI research through literature review and conference attendance.
- Publish research papers in top-tier academic conferences and journals.
- Contribute to the development of intellectual property, including patent filings.
- Mentor junior researchers and engineers, fostering a culture of innovation.
- Present research findings to technical and non-technical audiences.
The ideal candidate will possess:
- Deep theoretical and practical understanding of various machine learning paradigms.
- Proven experience in developing and deploying advanced AI models.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong programming skills and experience with large-scale data processing.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a research-oriented, remote environment.
- A passion for innovation and a drive to solve complex problems.
- Experience in one or more of the following: deep learning, NLP, computer vision, reinforcement learning, generative models.
AI Research Scientist - Machine Learning
Posted 1 day ago
Job Viewed
Job Description
AI Research Scientist - Machine Learning
Posted 1 day ago
Job Viewed
Job Description
The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field. A strong publication record in top-tier AI conferences and journals is highly desirable. You must have extensive experience with various machine learning techniques, including deep learning, reinforcement learning, natural language processing, and computer vision. Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn, are essential. Strong analytical, mathematical, and algorithmic thinking skills are required. As a remote team member, excellent communication and collaboration skills are vital for effective interaction with colleagues and stakeholders worldwide. You should be comfortable working independently, managing your research roadmap, and presenting complex technical information clearly.
We are looking for a curious, creative, and results-oriented individual with a passion for AI research. You should be adept at critical thinking, experimental design, and translating theoretical concepts into practical applications. This remote position offers the chance to work with world-class researchers and contribute to impactful AI advancements, providing a stimulating and flexible career path. Join our client's pioneering AI team and shape the future of intelligent systems.
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AI Research Scientist - Machine Learning
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, natural language processing, computer vision, or related AI fields.
- Design, implement, and evaluate novel algorithms and models to address complex challenges.
- Develop and prototype AI systems, translating research concepts into practical applications.
- Collaborate with cross-functional teams, including engineers, product managers, and other researchers, to integrate AI solutions into products and services.
- Analyze large datasets to extract insights and inform model development.
- Stay current with the latest advancements in AI and machine learning research through literature review and conference participation.
- Publish research findings in leading academic journals and present at international conferences.
- Contribute to the intellectual property and patent portfolio of the company.
- Mentor junior researchers and interns, fostering a collaborative research environment.
- Develop and maintain high-quality, well-documented code for research experiments and prototypes.
- Contribute to the strategic direction of the company's AI research initiatives.
- Evaluate the performance and scalability of AI models and systems.
Qualifications and Skills:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of research and development in AI/ML, demonstrated by publications in top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Strong theoretical understanding and practical experience with various ML algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Proficiency in programming languages such as Python, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with large-scale data processing and distributed computing frameworks is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to articulate complex research ideas.
- Ability to work independently and collaboratively within a research team.
- Passion for innovation and a drive to solve challenging problems.
- Experience with cloud platforms (AWS, Azure, GCP) is advantageous.
This is an exceptional opportunity for a motivated researcher to make a significant impact in the field of AI, contributing to innovative projects from our Aberdeen, Scotland, UK base, with the benefit of a hybrid work model.
AI Research Scientist - Machine Learning
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, and related AI fields.
- Design, develop, and implement state-of-the-art ML models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics.
- Experiment with new algorithms, techniques, and tools to improve model performance and efficiency.
- Analyze large datasets, identify patterns, and extract meaningful insights to inform model development.
- Collaborate with cross-functional teams of engineers, data scientists, and product managers to integrate AI solutions into products and services.
- Stay abreast of the latest academic research and industry advancements in AI and machine learning.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility of new AI approaches.
- Evaluate and benchmark model performance rigorously.
- Contribute to the overall AI strategy and roadmap of the organization.
- Mentor junior researchers and engineers on ML best practices.
- Ensure ethical considerations and potential biases are addressed in AI model development.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Demonstrated track record of research and publications in reputable AI/ML venues.
- Strong theoretical understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning architectures.
- Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills, with the ability to present complex technical concepts clearly.
- Ability to work independently and collaboratively in a research-oriented environment.
- Experience with MLOps principles and practices is advantageous.
AI Research Scientist - Machine Learning
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, and related AI fields.
- Design, develop, and implement novel machine learning algorithms and models for various applications.
- Experiment with different AI architectures, frameworks (e.g., TensorFlow, PyTorch), and datasets.
- Analyze and interpret complex data to extract meaningful insights and inform model development.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical solutions.
- Stay abreast of the latest advancements in AI and machine learning through literature reviews and conference participation.
- Publish research findings in leading academic journals and present at international conferences.
- Develop and maintain high-quality, well-documented code for research prototypes and production systems.
- Evaluate and benchmark the performance of AI models, identifying areas for optimization.
- Contribute to the intellectual property development and patent applications.
- Mentor junior researchers and contribute to building a strong AI research community within the organization.
- Troubleshoot and resolve complex technical challenges related to AI model development and deployment.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of research and development in machine learning, demonstrated through publications, patents, or contributions to open-source projects.
- Strong theoretical and practical understanding of various ML algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning).
- Proficiency in programming languages such as Python, and experience with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with big data technologies and distributed computing frameworks is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and as part of a collaborative research team.
- Experience in specific domains like natural language processing (NLP), computer vision, or time-series analysis is advantageous.