1,358 AI Models jobs in the United Kingdom
Principal AI Researcher - Generative Models
SR1 2FA Sunderland, North East
£100000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is at the cutting edge of AI and Emerging Technologies, and they are seeking a highly innovative and accomplished Principal AI Researcher specializing in Generative Models. This role is offered on a fully remote basis, allowing you to contribute to groundbreaking research from anywhere in the world. You will lead research initiatives, push the boundaries of artificial intelligence, and contribute significantly to the development of next-generation AI solutions.
As a Principal AI Researcher, you will be responsible for conceiving, designing, and executing advanced research projects focused on generative AI, including but not limited to large language models (LLMs), diffusion models, and other deep learning architectures. You will stay abreast of the latest advancements in the field, conduct thorough literature reviews, and identify novel approaches to solve complex problems. Your work will involve developing and refining AI algorithms, building and training sophisticated models, and rigorously evaluating their performance.
Key responsibilities include publishing research findings in top-tier academic conferences and journals, contributing to patent applications, and collaborating with engineering teams to translate research prototypes into production-ready systems. You will mentor junior researchers, provide technical guidance, and foster a collaborative and innovative research environment. Presenting research outcomes to both technical and non-technical audiences, including senior management and external stakeholders, will be a crucial aspect of the role.
The ideal candidate will hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record in generative models. A minimum of 8 years of post-doctoral research experience in AI/ML is required. Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), advanced mathematical concepts, and programming proficiency (Python) is essential. Proven experience in leading complex research projects and delivering tangible results is a must. Excellent analytical, problem-solving, and critical thinking skills are required. Strong communication and collaboration skills are necessary to work effectively within a globally distributed team.
As a Principal AI Researcher, you will be responsible for conceiving, designing, and executing advanced research projects focused on generative AI, including but not limited to large language models (LLMs), diffusion models, and other deep learning architectures. You will stay abreast of the latest advancements in the field, conduct thorough literature reviews, and identify novel approaches to solve complex problems. Your work will involve developing and refining AI algorithms, building and training sophisticated models, and rigorously evaluating their performance.
Key responsibilities include publishing research findings in top-tier academic conferences and journals, contributing to patent applications, and collaborating with engineering teams to translate research prototypes into production-ready systems. You will mentor junior researchers, provide technical guidance, and foster a collaborative and innovative research environment. Presenting research outcomes to both technical and non-technical audiences, including senior management and external stakeholders, will be a crucial aspect of the role.
The ideal candidate will hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record in generative models. A minimum of 8 years of post-doctoral research experience in AI/ML is required. Demonstrated expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), advanced mathematical concepts, and programming proficiency (Python) is essential. Proven experience in leading complex research projects and delivering tangible results is a must. Excellent analytical, problem-solving, and critical thinking skills are required. Strong communication and collaboration skills are necessary to work effectively within a globally distributed team.
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Lead AI Engineer - Generative Models
AB10 1AA Aberdeen, Scotland
£75000 Annually
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Posted 4 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a highly skilled and motivated Lead AI Engineer specializing in Generative Models. This critical role will involve leading the development and deployment of advanced AI solutions that leverage cutting-edge generative techniques. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, coupled with a strong portfolio of work in areas such as natural language processing (NLP), computer vision, or creative AI. You will be responsible for designing and implementing novel AI architectures, training and fine-tuning large language models (LLMs) and other generative models, and ensuring their robust performance and scalability. Key responsibilities include leading a team of talented AI engineers, mentoring junior researchers, and collaborating with product managers and data scientists to translate business needs into innovative AI-driven features. This position demands exceptional problem-solving skills, a deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch), and a passion for pushing the boundaries of what's possible with AI. Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and MLOps practices is essential. You will be instrumental in shaping the company's AI strategy and contributing to groundbreaking projects that have a real-world impact. The ability to communicate complex technical concepts clearly to both technical and non-technical audiences is crucial. This role offers a unique opportunity to work with state-of-the-art AI technologies and contribute to the future of intelligent systems. The position is based in **Aberdeen, Scotland, UK**, and is an office-based role, fostering strong team collaboration and innovation. Responsibilities will include:
- Leading the design, development, and deployment of advanced generative AI models.
- Architecting and implementing solutions using large language models (LLMs), diffusion models, GANs, and other generative techniques.
- Mentoring and guiding a team of AI engineers and researchers.
- Collaborating with cross-functional teams to integrate AI solutions into products and services.
- Researching and evaluating state-of-the-art AI algorithms and methodologies.
- Optimizing AI models for performance, scalability, and efficiency.
- Developing and maintaining MLOps pipelines for model training, deployment, and monitoring.
- Staying abreast of the latest advancements in AI and machine learning research.
- Contributing to the company's AI strategy and roadmap.
- Ensuring the ethical development and deployment of AI systems.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying advanced AI/ML models, with a specialization in generative models.
- Strong understanding of deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python, with experience in relevant libraries (e.g., NumPy, Pandas, SciPy).
- Experience with NLP, computer vision, or other AI domains relevant to generative models.
- Knowledge of MLOps principles and tools.
- Excellent leadership, problem-solving, and communication skills.
- Ability to work effectively in a collaborative, fast-paced environment.
- Experience with cloud platforms (AWS, Azure, GCP) for AI workloads.
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Lead AI Engineer - Generative Models
EH1 2AD Edinburgh, Scotland
£70000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client, a cutting-edge AI research and development firm, is looking for an experienced and visionary Lead AI Engineer specializing in Generative Models to join their dynamic team in Edinburgh, Scotland, UK . This is an exciting opportunity to lead the development and deployment of state-of-the-art generative AI technologies, pushing the boundaries of what's possible in areas like content creation, simulation, and data augmentation. You will guide a team of talented engineers and researchers, shaping the future of AI at our client.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of advanced generative AI models, including GANs, VAEs, Transformers, and diffusion models.
- Oversee the entire ML lifecycle for generative AI projects, from data preprocessing and model training to evaluation, deployment, and monitoring.
- Develop novel architectures and training methodologies to improve the quality, controllability, and efficiency of generative models.
- Mentor and manage a team of AI/ML engineers and researchers, providing technical guidance and fostering a collaborative environment.
- Collaborate with product managers and stakeholders to define project requirements and translate business needs into AI solutions.
- Conduct thorough research into the latest advancements in generative AI and related fields, identifying opportunities for innovation.
- Ensure the scalability, reliability, and performance of AI models in production environments.
- Contribute to the intellectual property of the company through patents and publications.
- Implement best practices for MLOps, version control, and testing within the AI development process.
- Present technical findings and project progress to both technical and executive audiences.
- Champion ethical considerations and responsible AI development practices in all generative model applications.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 6-8 years of hands-on experience in AI/ML development, with at least 3 years focused on generative models.
- Deep expertise in various generative model architectures (GANs, VAEs, Transformers, Diffusion Models) and their underlying principles.
- Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Keras.
- Proven experience with large-scale data processing and distributed training techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Excellent understanding of MLOps principles and tools.
- Strong leadership, mentoring, and team management skills.
- Exceptional problem-solving abilities and a passion for tackling complex technical challenges.
- Outstanding communication and presentation skills.
- Experience in research or contributions to top-tier AI conferences (e.g., NeurIPS, ICML, ICLR) is a significant advantage.
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Lead AI Researcher - Generative Models
BT2 7BF Belfast, Northern Ireland
£80000 Annually
WhatJobs
Posted 14 days ago
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Job Description
Our client is a forward-thinking AI research lab at the forefront of developing next-generation artificial intelligence technologies. They are seeking a highly talented and innovative Lead AI Researcher specializing in Generative Models to join their fully remote team. In this pivotal role, you will lead research initiatives focused on advancing the capabilities of large language models, diffusion models, and other generative AI architectures. You will be responsible for designing experiments, developing novel algorithms, and pushing the boundaries of what AI can achieve in areas such as content creation, data synthesis, and complex problem-solving. This position requires a deep theoretical understanding of machine learning, extensive practical experience with deep learning frameworks, and a proven ability to drive research projects from conception to impactful results. You will collaborate with a global team of world-class researchers and engineers.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead the design and execution of cutting-edge research projects in generative AI, focusing on areas like LLMs, GANs, and VAEs.
- Develop and implement novel algorithms and techniques to enhance generative model performance, stability, and controllability.
- Conduct rigorous theoretical analysis and empirical evaluation of proposed models and methods.
- Collaborate with other researchers and engineers to integrate new models into AI product pipelines.
- Mentor and guide junior researchers, fostering a collaborative and innovative research environment.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning through literature review and conference participation.
- Publish research findings in top-tier AI conferences and journals.
- Contribute to the strategic direction of the AI research team.
- Develop and maintain high-quality, reproducible code for research experiments.
- Effectively communicate complex research concepts to both technical and non-technical audiences.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience or equivalent industry experience in AI/ML research, with a significant focus on generative models.
- Demonstrated expertise in deep learning architectures, including Transformers, CNNs, RNNs, GANs, and diffusion models.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python.
- Proven track record of impactful research, evidenced by publications in top AI venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Excellent analytical, mathematical, and problem-solving skills.
- Strong leadership and mentorship capabilities.
- Ability to work independently and drive research initiatives in a remote setting.
- Outstanding written and verbal communication skills.
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3
Lead AI Engineer - Generative Models
SR1 2BA Sunderland, North East
£80000 Annually
WhatJobs
Posted 17 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking an exceptional Lead AI Engineer specializing in Generative Models to join their team in Sunderland, Tyne and Wear, UK . This role offers the opportunity to shape the future of AI-driven products and solutions, leading a team of talented engineers in developing and deploying state-of-the-art generative AI technologies. The ideal candidate will have a deep understanding of machine learning, deep learning, and extensive experience with various generative model architectures.
Key Responsibilities:
Qualifications:
This is a highly impactful role for an experienced AI leader looking to make a significant contribution to the field of generative AI. Join a forward-thinking company and drive innovation.
Key Responsibilities:
- Lead the design, development, and implementation of advanced generative AI models, including GANs, VAEs, Transformers, and Diffusion Models.
- Architect robust and scalable AI systems for training, fine-tuning, and deploying generative models.
- Collaborate with product managers and researchers to define AI strategy and identify opportunities for generative AI applications.
- Mentor and guide a team of AI/ML engineers, fostering a culture of innovation and technical excellence.
- Develop and implement best practices for model development, evaluation, and deployment in production environments.
- Conduct rigorous experimentation and evaluation of model performance, identifying areas for improvement.
- Stay current with the latest research and advancements in AI and generative models.
- Write clean, efficient, and well-documented code in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Build and maintain CI/CD pipelines for AI/ML models.
- Troubleshoot and debug complex ML systems.
- Communicate technical concepts and project status effectively to both technical and non-technical stakeholders.
- Contribute to the overall AI strategy and roadmap of the company.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 7+ years of experience in AI/ML engineering, with a strong focus on generative models.
- Proven track record of designing, building, and deploying generative AI models in production.
- Deep understanding of various generative model architectures (GANs, VAEs, LLMs, Diffusion Models).
- Proficiency in Python and major ML frameworks such as TensorFlow, PyTorch, and Keras.
- Experience with cloud platforms (AWS, Azure, GCP) and associated AI/ML services.
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management abilities.
- Excellent communication and interpersonal skills.
- Experience with MLOps principles and tools is a plus.
This is a highly impactful role for an experienced AI leader looking to make a significant contribution to the field of generative AI. Join a forward-thinking company and drive innovation.
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4
Lead AI Engineer - Generative Models & Computer Vision
S1 3NX Sheffield, Yorkshire and the Humber
£80000 Annually
WhatJobs
Posted 15 days ago
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Job Description
Our client is seeking a visionary Lead AI Engineer to spearhead advancements in generative models and computer vision within their innovative technology division. This is a fully remote position, empowering you to drive critical AI initiatives from anywhere in the UK. You will be responsible for leading a team of talented engineers and researchers, architecting complex AI solutions, and delivering state-of-the-art systems that leverage cutting-edge techniques. The ideal candidate possesses extensive experience in AI/ML development, a strong track record of leading technical projects, and a passion for exploring the frontiers of artificial intelligence, particularly in areas like image generation, object detection, and segmentation.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and deployment of advanced AI systems, focusing on generative models and computer vision.
- Architect scalable and efficient AI solutions, making key technology choices.
- Manage and mentor a team of AI engineers and researchers, fostering a collaborative and high-performance environment.
- Oversee the entire AI model lifecycle, from data preprocessing and model training to validation and production deployment.
- Conduct rigorous experimentation and evaluation of different AI algorithms and architectures.
- Collaborate closely with product management and other stakeholders to define AI strategy and roadmaps.
- Drive innovation by exploring and implementing novel techniques in areas like GANs, Diffusion Models, CNNs, and Transformers for vision tasks.
- Ensure the quality, robustness, and ethical considerations of AI models and applications.
- Develop and maintain best practices for AI development, MLOps, and code quality.
- Present technical findings and project updates to diverse audiences, including executive leadership.
- Troubleshoot and resolve complex technical challenges in AI model performance and deployment.
- Stay at the forefront of AI research and industry trends, identifying opportunities for application.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Significant professional experience (7+ years) in AI/ML development, with a substantial portion in a leadership or senior engineering role.
- Proven expertise in generative models (e.g., GANs, VAEs, Diffusion Models) and computer vision techniques (e.g., object detection, segmentation, image recognition).
- Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with MLOps practices and tools for model deployment and monitoring.
- Demonstrated experience leading technical teams and managing complex AI projects.
- Excellent understanding of data science principles, statistical modeling, and algorithm design.
- Strong problem-solving, analytical, and critical-thinking skills.
- Exceptional communication, interpersonal, and presentation skills, crucial for remote team leadership.
- Familiarity with cloud platforms (AWS, Azure, GCP) for AI workloads is a plus.
- A portfolio of successful AI projects and contributions to the AI community is highly valued.
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5
AI Research Scientist - Generative Models
SR1 1AA Sunderland, North East
£75000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is a pioneering firm in the field of Artificial Intelligence and is seeking a brilliant and innovative AI Research Scientist specializing in Generative Models to join their fully remote research team. This is an exceptional opportunity to work on the cutting edge of AI, pushing the boundaries of what's possible with models capable of generating realistic and complex data, including text, images, and code. You will be instrumental in designing, developing, and evaluating novel AI algorithms and architectures, contributing to groundbreaking research publications and product development. The ideal candidate possesses a Ph.D. in Computer Science, Machine Learning, or a related field, with a strong publication record and hands-on experience with state-of-the-art generative techniques such as GANs, VAEs, and Transformer-based models.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in generative AI, focusing on novel model architectures and training methodologies.
- Design, implement, and evaluate generative models for various data modalities (e.g., text, images, audio, code).
- Develop and optimize algorithms for tasks such as text generation, image synthesis, style transfer, and data augmentation.
- Collaborate with a team of world-class researchers and engineers to advance the state of the art in AI.
- Stay abreast of the latest research trends and breakthroughs in AI, machine learning, and deep learning.
- Publish research findings in top-tier AI conferences and journals.
- Translate research concepts into practical applications and product features.
- Develop and maintain high-quality, well-documented code for research experiments and prototypes.
- Contribute to the intellectual property and patent applications of the company.
- Mentor junior researchers and interns, fostering a collaborative and innovative research environment.
- Present research findings to both technical and non-technical audiences.
- Engage in peer review of research papers and proposals.
- Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Strong publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
- Deep understanding of machine learning theory, deep learning architectures, and statistical modeling.
- Expertise in generative models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based architectures (e.g., GPT, BERT).
- Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Experience with large-scale data processing and distributed training.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent written and verbal communication skills, crucial for remote collaboration and dissemination of research.
- Ability to work independently and drive research projects from conception to completion.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) is a plus.
- Familiarity with reinforcement learning or other advanced AI techniques is beneficial.
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6
AI Research Scientist - Generative Models
LS1 5UL Leeds, Yorkshire and the Humber
£70000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a cutting-edge AI research lab focused on pushing the boundaries of artificial intelligence, is seeking an exceptional AI Research Scientist specializing in Generative Models. This fully remote role offers the chance to work on groundbreaking projects that shape the future of AI. The ideal candidate will have a deep understanding of machine learning, deep learning, and particularly generative models (e.g., GANs, VAEs, Transformers). You will be responsible for designing, implementing, and evaluating novel AI algorithms and models. This includes conducting theoretical research, developing and training complex models, and analyzing experimental results. Collaboration with a world-class team of researchers and engineers, sharing findings through publications and presentations, and contributing to the company's intellectual property are key aspects of this position. A strong publication record in top-tier AI conferences and journals is highly desirable. Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch is required. A PhD or a Master's degree with significant research experience in Computer Science, AI, Machine Learning, or a related quantitative field is essential. We are looking for individuals with a passion for innovation, excellent problem-solving skills, and the ability to thrive in a fast-paced, research-intensive, remote environment. This role is based in Leeds, West Yorkshire, UK , but operates on a fully remote basis, offering flexibility and autonomy. Join us to pioneer the next generation of AI technologies.
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7
AI Research Scientist - Generative Models
BD2 0DB Bradford, Yorkshire and the Humber
£70000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a brilliant AI Research Scientist specializing in Generative Models to join their cutting-edge team. This fully remote position offers the opportunity to work on groundbreaking research and development that will shape the future of artificial intelligence. You will be instrumental in designing, implementing, and evaluating novel algorithms for generating realistic and complex data, including text, images, and other media. Your work will contribute directly to the development of next-generation AI applications.
Key Responsibilities:
Qualifications and Skills:
This role is based in Bradford, West Yorkshire, UK but is offered on a fully remote basis, allowing you to work from anywhere within the UK. If you are passionate about pushing the boundaries of AI and want to make a significant impact, we encourage you to apply.
Key Responsibilities:
- Conduct state-of-the-art research in generative AI, focusing on areas such as GANs, VAEs, Diffusion Models, and Transformers.
- Develop and implement novel algorithms and architectures for generative tasks.
- Design and execute experiments to evaluate the performance of new models.
- Analyze and interpret experimental results, drawing actionable insights.
- Collaborate with other researchers and engineers to integrate research findings into product development.
- Publish research findings in top-tier AI conferences and journals.
- Stay current with the latest advancements in machine learning and deep learning.
- Contribute to the technical vision and strategy of the AI research group.
- Mentor junior researchers and interns.
- Present research progress and findings to internal stakeholders and external audiences.
Qualifications and Skills:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR).
- In-depth knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proven experience with generative model architectures and their applications.
- Excellent programming skills in Python.
- Strong mathematical and statistical background.
- Ability to conduct independent research and drive projects from conception to completion.
- Excellent problem-solving skills and a creative mindset.
- Strong communication and collaboration skills, essential for a remote team environment.
- Experience with large-scale data processing and distributed computing is a plus.
This role is based in Bradford, West Yorkshire, UK but is offered on a fully remote basis, allowing you to work from anywhere within the UK. If you are passionate about pushing the boundaries of AI and want to make a significant impact, we encourage you to apply.
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8
AI Research Scientist - Generative Models
SW1A 0AA London, London
£80000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client, a leader in pushing the boundaries of Artificial Intelligence, is seeking an exceptional AI Research Scientist specializing in Generative Models to join their innovative and fully remote team. Based in the vibrant tech hub of London, England, UK , this role offers a unique opportunity to contribute to groundbreaking research and development in cutting-edge AI. You will be instrumental in designing, implementing, and evaluating novel algorithms and models that redefine the capabilities of artificial intelligence. This position requires a deep theoretical understanding of machine learning and deep learning, coupled with strong practical implementation skills.
Key Responsibilities:
Key Responsibilities:
- Conduct state-of-the-art research in generative artificial intelligence, including but not limited to GANs, VAEs, diffusion models, and large language models.
- Design, develop, and implement novel AI algorithms and architectures.
- Perform rigorous experimentation and evaluation of AI models, analysing results to drive further innovation.
- Collaborate closely with a team of world-class researchers and engineers on ambitious projects.
- Publish research findings in top-tier academic conferences and journals.
- Develop and maintain high-quality, production-ready code for AI models.
- Contribute to the intellectual property of the company through patents and new research directions.
- Mentor junior researchers and interns, fostering a culture of continuous learning and discovery.
- Stay at the forefront of AI research by continuously exploring new literature and techniques.
- Engage in knowledge sharing through presentations and internal discussions.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a strong publication record.
- Proven track record of research and development in generative models.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python.
- Deep understanding of machine learning theory, statistical modelling, and optimisation techniques.
- Experience with large-scale data processing and distributed training is highly advantageous.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Exceptional communication and collaboration skills, with the ability to articulate complex ideas clearly.
- A passion for pushing the frontiers of AI and a drive for innovation.
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