1,825 AI Models jobs in the United Kingdom
Senior Researcher (Multimodal AI & Generative Models)
Posted today
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Senior Research Scientist - Multimodal AI & Generative Models
Leading Enterprise AI & LLM Company
Remote/Hybrid | Competitive Package + Equity
This role is with a world-class research team at a rapidly growing AI company that's revolutionizing how enterprises adopt and deploy AI solutions and are hiring exceptional researchers who can bridge the gap between cutting-edge generative AI research and real-world applications.
A World-class team with alumni from Google Brain, Meta AI, DeepMind, Stanford, Oxford
Unlimited research freedom with strong industry impact
What You'll Do
- Pioneer multimodal AI research combining language models with advanced generative techniques
- Lead breakthrough projects in diffusion models, text-to-image generation, and multimodal systems
- Drive innovation in agentic AI systems and human-AI collaboration
- Publish world-class research at top-tier conferences (NeurIPS, ICML, ICLR, CVPR)
- Collaborate globally with researchers across 100+ countries
- Mentor the next generation of AI researchers
REQUIREMENTS:
- PhD in ML/AI/Computer Vision with strong publication record
- Deep expertise in diffusion models and generative AI
- Proven experience with text-to-image generation, multimodal AI
- Large-scale model training experience (distributed systems, GPUs)
- Proficiency in PyTorch, JAX, or similar frameworks
- Enterprise AI deployment experience
- Safety and alignment research background
- Multilingual/multicultural AI expertise
Highly Valued: A Background at top-tier AI labs (DeepMind, OpenAI, Meta AI, etc.) • Experience with Imagen, DALL-E, Stable Diffusion or similar models
Lead AI Researcher - Generative Models
Posted 2 days ago
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Key Responsibilities:
- Lead research initiatives in generative artificial intelligence, including GANs, VAEs, transformers, and diffusion models.
- Design and implement innovative AI algorithms and models for various applications.
- Conduct theoretical and empirical research to advance the state-of-the-art in AI.
- Analyze complex datasets, develop experiments, and interpret results to drive research forward.
- Collaborate with other researchers, engineers, and domain experts to translate research findings into practical solutions.
- Publish research findings in top-tier AI conferences and journals.
- Mentor and guide junior researchers and PhD students.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning.
- Contribute to the development of AI strategy and identify new research opportunities.
- Develop and maintain high-quality code for research prototypes and experiments.
- Present research findings to internal teams and external audiences.
The ideal candidate will possess a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record. Proven experience leading research projects and deep expertise in generative models are essential. Excellent programming skills (Python) and familiarity with deep learning frameworks (TensorFlow, PyTorch) are required. If you are a passionate and innovative AI researcher looking for a remote opportunity to shape the future of artificial intelligence near **Oxford, Oxfordshire, UK**, we want to hear from you. This role is entirely remote, with no requirement for office attendance in Oxford, Oxfordshire, UK .
Principal AI Scientist - Generative Models
Posted 3 days ago
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Responsibilities:
- Lead research and development initiatives in cutting-edge AI, with a specific focus on generative models (e.g., GANs, VAEs, Transformers).
- Design, implement, and evaluate novel AI algorithms and architectures.
- Translate complex business problems into AI research questions and actionable solutions.
- Publish research findings in top-tier AI conferences and journals.
- Mentor and guide a team of AI researchers and engineers, fostering a culture of scientific excellence.
- Collaborate closely with product and engineering teams to integrate AI models into production systems.
- Stay current with the latest advancements in the AI and machine learning landscape.
- Develop and maintain high-quality, well-documented code for AI models and experiments.
- Present research outcomes and strategic insights to executive leadership.
- Contribute to the intellectual property portfolio through patents and publications.
- Ph.D. or equivalent research experience in Artificial Intelligence, Machine Learning, Computer Science, or a related quantitative field.
- A minimum of 10 years of post-doctoral research or industry experience in AI/ML, with a significant focus on generative models.
- Demonstrated track record of groundbreaking research, evidenced by publications in top venues (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
- Expertise in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Deep understanding of advanced machine learning techniques, including deep learning, reinforcement learning, and probabilistic modelling.
- Experience with large-scale data processing and distributed computing.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Proven ability to lead research projects and mentor scientific talent.
- Experience working in a remote, collaborative environment.
Senior AI Researcher - Generative Models
Posted 3 days ago
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Job Description
As a Senior AI Researcher, you will be responsible for conceiving, designing, and implementing state-of-the-art generative models. This includes areas such as large language models (LLMs), diffusion models, and GANs. You will conduct rigorous theoretical research, develop robust experimental methodologies, and publish findings in leading AI conferences and journals. Collaboration is key; you will work closely with a team of world-class researchers and engineers, mentoring junior members and driving project success.
The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline, coupled with a proven track record of significant contributions to the field of generative AI. You must demonstrate exceptional programming skills, particularly in Python, and extensive experience with deep learning frameworks like PyTorch or TensorFlow. A deep understanding of current research trends, mathematical foundations of AI, and the ability to translate complex research into practical applications are essential.
Key Responsibilities:
- Lead research initiatives in generative AI, focusing on LLMs, diffusion models, and GANs.
- Develop and implement novel algorithms and architectures for generative tasks.
- Design and execute experiments to evaluate model performance and robustness.
- Publish research findings in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR).
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Mentor and guide junior researchers and engineers.
- Stay abreast of the latest advancements in AI and machine learning research.
- Contribute to grant proposals and secure research funding.
Qualifications:
- Ph.D. or Master's degree in a relevant field with a strong research focus.
- 5+ years of research experience in AI/ML, with a specialization in generative models.
- Expertise in Python and deep learning frameworks (PyTorch/TensorFlow).
- Strong publication record in leading AI conferences/journals.
- Excellent analytical, problem-solving, and communication skills.
- Proven ability to lead research projects and mentor teams.
This role requires a commitment to spending at least 2-3 days per week in our state-of-the-art facility in **Newcastle upon Tyne, Tyne and Wear, UK**, with the flexibility of remote work for the remainder of the week.
Principal AI Researcher - Generative Models
Posted 3 days ago
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Key Responsibilities:
- Conduct cutting-edge research in generative artificial intelligence, focusing on novel model architectures and training techniques.
- Develop and implement advanced algorithms for generating realistic and diverse synthetic data (text, images, audio, video, code).
- Design and lead research projects from conception to completion, with a strong emphasis on empirical evaluation.
- Publish research findings in leading AI conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR).
- Collaborate with engineering teams to translate research prototypes into production-ready AI systems.
- Mentor junior researchers and contribute to building a vibrant research community.
- Stay abreast of the latest advancements in machine learning, deep learning, and generative models.
- Present research work internally and externally to diverse audiences.
- Contribute to the strategic direction of the AI research roadmap.
- Identify and explore new research avenues and potential applications of generative AI.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of research experience in AI/ML, with a significant focus on generative models.
- A strong publication record in top-tier AI conferences and journals.
- Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and model development.
- Proven experience with Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), diffusion models, and large language models (LLMs).
- Proficiency in programming languages such as Python.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex concepts clearly.
- Experience leading research projects and mentoring junior team members.
- Passion for driving innovation and solving fundamental AI challenges.
Lead AI Engineer - Generative Models
Posted 4 days ago
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Key Responsibilities:
- Lead the design, development, and deployment of advanced AI models, with a focus on generative techniques.
- Architect and implement scalable, robust, and efficient machine learning pipelines and infrastructure.
- Mentor and guide a team of AI engineers, fostering a collaborative and innovative environment.
- Conduct research into state-of-the-art AI techniques and algorithms.
- Translate business requirements into technical solutions and actionable project plans.
- Optimise model performance, accuracy, and efficiency.
- Collaborate closely with product management and software engineering teams.
- Stay current with the latest advancements in AI research and industry trends.
- Present technical findings and project progress to stakeholders.
- Contribute to the company's intellectual property through innovation and patents.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- 5+ years of experience in AI/ML engineering, with a significant focus on generative models (LLMs, GANs, VAEs, diffusion models).
- Proven experience in leading technical teams and managing complex AI projects.
- Expertise in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps.
- Excellent problem-solving, analytical, and critical thinking skills.
- Outstanding communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
- Self-motivated and able to work independently in a remote setting.
Lead AI Researcher - Generative Models
Posted 7 days ago
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Key Responsibilities:
- Lead and mentor a team of AI researchers focused on developing novel generative models (e.g., GANs, VAEs, Transformers) for various applications.
- Design and execute research experiments to advance the state-of-the-art in areas such as natural language generation, image synthesis, and data augmentation.
- Develop and implement new algorithms, architectures, and training methodologies for generative models.
- Publish research findings in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR).
- Collaborate with engineering teams to translate research prototypes into production-ready AI systems.
- Identify emerging trends and opportunities in AI research and propose new research directions.
- Contribute to the intellectual property portfolio through patents and technical publications.
- Engage with the broader AI research community, staying connected with academic and industry leaders.
- Develop and maintain strong relationships with external research institutions and collaborators.
- Ensure the ethical considerations of AI research are addressed throughout the development process.
- Write clear and concise technical documentation, proposals, and reports.
Qualifications and Experience:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong specialization in generative models.
- A minimum of 7 years of post-doctoral research experience, with a significant track record of publications in leading AI conferences and journals.
- Demonstrated leadership experience in managing research projects and mentoring junior researchers.
- Deep theoretical and practical understanding of generative AI techniques, including GANs, VAEs, diffusion models, and large language models.
- Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Strong analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to articulate complex research concepts effectively.
- Experience with distributed training and large-scale AI systems is highly desirable.
- A passion for pushing the boundaries of AI and a commitment to open research principles.
This fully remote position offers the ultimate flexibility and the chance to lead truly innovative AI research. If you are a visionary researcher ready to make a significant impact on the field of generative AI, we encourage you to apply.
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Lead AI Engineer - Generative Models
Posted 8 days ago
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Principal AI Researcher - Generative Models
Posted 10 days ago
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Responsibilities:
- Lead cutting-edge research and development in generative AI, including deep learning architectures like GANs, VAEs, and diffusion models.
- Design, implement, and evaluate novel algorithms for content generation (text, images, code, etc.) and data augmentation.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with product teams to translate research breakthroughs into deployable AI solutions.
- Mentor and guide a team of AI researchers and engineers, fostering an environment of scientific rigor and creativity.
- Stay abreast of the latest advancements in machine learning, deep learning, and related fields.
- Contribute to the strategic direction of AI research at our client.
- Develop and maintain high-quality, well-documented code for research experiments and prototypes.
- Present research findings internally and externally to technical and non-technical audiences.
- Identify opportunities for intellectual property and patent filings.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of research experience in AI/ML, with a significant focus on generative models.
- Demonstrated track record of impactful research, evidenced by publications and contributions to the field.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python and experience with large-scale data processing.
- In-depth understanding of statistical modeling, probability, and linear algebra.
- Proven ability to lead research projects and mentor junior team members.
- Excellent communication, collaboration, and problem-solving skills.
- Experience in deploying AI models into production environments is a plus.
- Familiarity with cloud computing platforms (AWS, GCP, Azure).
Principal AI Researcher (Generative Models)
Posted 10 days ago
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Job Description
As a Principal AI Researcher, you will spearhead innovative research initiatives focused on developing novel generative AI techniques and architectures. Your work will involve conceptualizing, designing, and implementing advanced models for tasks such as image synthesis, text generation, and complex data creation. You will conduct rigorous theoretical and empirical investigations, publish findings in top-tier AI conferences and journals, and contribute to patent applications. This role requires a deep dive into cutting-edge research, fostering a culture of innovation and exploration.
Key responsibilities include exploring new paradigms in deep learning, developing novel algorithms for large-scale generative models, and collaborating with a world-class team of researchers and engineers. You will mentor junior researchers, guide research direction, and actively engage with the broader AI community. The ability to identify future research trends and translate complex scientific concepts into tangible advancements will be critical. This role is driven by scientific curiosity and a passion for transformative AI discovery.
We are looking for candidates with a PhD in Computer Science, Machine Learning, or a related field, coupled with a substantial publication record in leading AI venues. A minimum of 8 years of dedicated AI research experience, with a strong emphasis on generative models (GANs, VAEs, Diffusion Models, etc.), is required. Exceptional proficiency in Python and ML frameworks such as PyTorch or TensorFlow is essential. A proven ability to lead research projects, inspire teams, and articulate complex technical concepts clearly is paramount. Experience in large-scale distributed training and an understanding of ethical AI considerations are highly desirable. This is a unique opportunity for a pioneering researcher to make a profound impact in the field of AI from a fully remote setting.
Qualifications:
- PhD in Computer Science or related field.
- 8+ years of AI research experience, specializing in generative models.
- Strong publication record in top AI conferences/journals.
- Expertise in Python and deep learning frameworks.
- Proven ability to lead research initiatives.
- Deep understanding of generative AI architectures.
- Excellent theoretical and empirical research skills.