646 AI Research jobs in the United Kingdom

Are you an AI Research Scientist passionate about using LLMs and machine learning to reshape how organisations understand people?

We’re looking for a curious and pragmatic AI Research Scientist to join a remote team building the next generation of AI-powered insight tools. You’ll be working on a real-world research platform already in production — now expanding into new territory with retrieval-augmented generation (RAG), vector search, and intelligent automation.

In this role, you’ll help reimagine how unstructured and structured data from large-scale surveys and discussions can be turned into clear, actionable insight using advanced AI. From redesigning RAG stacks to building AI-powered report writers and secure vector stores, you’ll be solving rich, challenging problems at the intersection of NLP, data infrastructure, and human understanding.

Whether you’ve shipped AI features before or have strong personal research and projects, this is a chance to shape products used by real researchers and clients every day.

What’s in it for you?

Human-Centred AI : Build tools that help researchers analyse real human thoughts, opinions, and behaviours — at scale.

• Conduct advanced research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, and other emerging AI fields.
• Develop, implement, and evaluate novel AI algorithms and models.
• Design and execute experiments to test hypotheses and validate research findings.
• Collaborate with product teams to translate research breakthroughs into practical applications and features.
• Analyze large datasets to identify patterns, extract insights, and inform model development.
• Stay abreast of the latest research and advancements in the field of AI and machine learning.
• Publish research findings in top-tier scientific conferences and journals.
• Contribute to the development of intellectual property, including patents and internal knowledge bases.
• Mentor junior researchers and engineers, fostering a culture of scientific inquiry and innovation.
• Participate in grant writing and proposal development for future research initiatives.

• Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• A strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
• Deep understanding of fundamental AI/ML concepts and algorithms.
• Proficiency in programming languages such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
• Experience with data manipulation and analysis tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to clearly present complex technical concepts.
• Ability to work effectively both independently and collaboratively in a hybrid team environment.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• A genuine curiosity and passion for pushing the frontiers of artificial intelligence.

• Conduct fundamental and applied research in artificial intelligence and machine learning.
• Develop and implement advanced AI algorithms and models for various applications.
• Design and execute experiments to evaluate and validate AI systems.
• Analyze large datasets to identify patterns and insights for AI model development.
• Collaborate with other researchers and engineers to advance AI projects.
• Stay abreast of the latest research and advancements in the field of AI.
• Publish research findings in top-tier academic conferences and journals.
• Contribute to the development of intellectual property and patents.
• Develop prototypes and proof-of-concepts for new AI technologies.
• Mentor junior researchers and contribute to a collaborative research environment.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Demonstrated research experience in AI/ML, with publications in reputable venues.
• Strong programming skills in languages such as Python, R, or C++.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Deep understanding of statistical modeling, data analysis, and algorithm design.
• Experience with deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Excellent problem-solving, analytical, and critical thinking skills.
• Proven ability to work independently and lead research initiatives in a remote setting.
• Strong communication and presentation skills, with the ability to articulate complex research concepts.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.

• Conducting advanced research in artificial intelligence and related fields.
• Developing, implementing, and evaluating novel AI algorithms and models.
• Designing and conducting experiments to test hypotheses and validate research findings.
• Collaborating with other researchers and engineers to drive innovation and product development.
• Publishing research findings in leading academic conferences and journals.
• Translating research insights into practical applications and prototypes.
• Staying abreast of the latest advancements in AI and emerging technologies.
• Contributing to the intellectual property development through patents and publications.
• Mentoring junior researchers and interns.
• Presenting research findings to technical and non-technical audiences.
• Working with large datasets and utilizing computational resources efficiently.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research contributions in AI/ML, demonstrated through publications, patents, or significant project work.
• Deep understanding of core machine learning and deep learning concepts.
• Expertise in at least one specialized area of AI (e.g., NLP, Computer Vision, Reinforcement Learning, Generative Models).
• Proficiency in programming languages such as Python, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with cloud platforms (AWS, Azure, GCP) and distributed computing is a plus.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong written and verbal communication skills, crucial for remote collaboration and publication.
• Ability to work independently and manage research projects effectively.

• Conducting advanced research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
• Developing, implementing, and evaluating novel AI algorithms and models.
• Designing and executing experiments to test hypotheses and validate research findings.
• Publishing research results in leading academic conferences and journals.
• Collaborating with other researchers and engineers to integrate AI models into products and services.
• Staying abreast of the latest advancements and trends in AI research and development.
• Mentoring junior researchers and contributing to the knowledge sharing within the team.
• Identifying new research opportunities and proposing innovative projects.
• Contributing to the development of intellectual property, including patents.
• Presenting research findings to both technical and non-technical audiences.
• Ensuring ethical considerations are addressed in AI development and deployment.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• A strong publication record in top-tier AI conferences and journals (e.g., NeurIPS, ICML, CVPR, ACL).
• Proven experience in developing and implementing state-of-the-art AI models using frameworks like TensorFlow, PyTorch, or Keras.
• Deep understanding of mathematical concepts underpinning AI, including linear algebra, calculus, probability, and statistics.
• Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex research concepts.
• Ability to work independently, manage research projects, and collaborate effectively in a remote team.
• Demonstrated creativity and passion for pushing the boundaries of AI.
• Experience with cloud platforms (AWS, Azure, GCP) and distributed computing is a plus.

• Conduct cutting-edge research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
• Design, implement, and evaluate novel AI algorithms and models.
• Collaborate with cross-functional teams to translate research findings into practical applications and product features.
• Stay current with the latest academic research and industry trends in AI.
• Publish research papers in top-tier conferences and journals.
• Develop and maintain research prototypes and proof-of-concepts.
• Contribute to the strategic direction of the AI research roadmap.
• Mentor junior researchers and provide technical leadership.
• Analyze complex datasets and extract meaningful insights.
• Present research findings to technical and non-technical audiences.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Demonstrated experience in AI research, evidenced by publications or significant project contributions.
• Strong theoretical understanding and practical experience in at least one major AI subfield (e.g., deep learning, NLP, computer vision).
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong mathematical background, including linear algebra, calculus, and probability.
• Ability to work independently and as part of a research team.
• Excellent written and verbal communication skills.