1,344 Deep Learning jobs in the United Kingdom
Deep Learning Engineer
Posted today
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Senior & Principal Applied AI Scientists – Automated Labs & Generative Modelling
Oxford/London | Hybrid | Full-time
- A top quartile salary designed to attract and reward world-class talent, plus comprehensive benefits (private medical, pension, income protection, enhanced holiday).
- Electric car scheme & lifestyle perks.
- A collaborative culture that values curiosity, resilience, and creativity.
- You'll be working with a world-class team.
Are you ready to join one of the most ambitious and rapidly scaling AI teams being built in Europe right now?
We’re assembling an elite group of researchers and engineers, drawing talent from FAANG, leading AI scaleups, and cutting-edge academic labs, to tackle some of the biggest scientific challenges of our time.
This is your chance to apply AI and automation at scale to reimagine how discovery happens in materials science, chemistry, and the life sciences.
Why this role matters
- Leveraging generative modelling, robotics, and autonomous experimentation to accelerate breakthroughs in chemistry, biology, and materials.
- Partner with leading scientists, engineers, and technologists from across the globe.
- Contribute to programmes that with strong humanitarian impact.
- Help build automated, data-driven research pipelines that move ideas from concept to solution faster than ever before.
What you’ll do
- Lead and contribute to the design and implementation of AI-driven discovery pipelines.
- Apply deep learning, foundation models, and generative approaches to problems in chemistry, materials, and the biosciences.
- Integrate with automated labs and high-throughput platforms to run closed-loop experiments.
- Collaborate with domain experts to ensure solutions address real scientific needs.
- Mentor and guide other scientists, setting the standard for technical excellence.
What we’re looking for
- PhD (or equivalent) in ML/AI, computational sciences, chemistry, materials, or related fields.
- Proven experience applying state-of-the-art ML models to real-world problems.
- Experience with generative modelling and/or automated laboratory systems.
- Strong track record of working with complex, large-scale scientific data.
- Excellent communication and the ability to work across disciplines.
Nice to have
- Experience in high-impact scientific domains (chemistry, drug discovery, materials, biology).
- Background in start-ups or fast-paced R&D environments.
AI Research Scientist (Deep Learning)
Posted 4 days ago
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AI Research Scientist - Deep Learning
Posted 5 days ago
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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.
AI Research Scientist - Deep Learning
Posted 5 days ago
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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 6 days ago
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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 11 days ago
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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.
AI Research Scientist - Deep Learning
Posted 14 days ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Design, develop, and implement novel machine learning models and algorithms.
- Experiment with various AI architectures and techniques to solve complex problems.
- Analyse large-scale datasets to train and validate AI models.
- Publish research findings in leading AI conferences and journals.
- Collaborate with other researchers and engineers on joint projects.
- Stay current with the latest research and advancements in AI/ML.
- Develop prototypes and proof-of-concepts for new AI applications.
- Contribute to the open-source AI community where applicable.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven research experience in deep learning, with a strong publication record.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and relevant scientific libraries (NumPy, SciPy, Pandas).
- Experience with large dataset manipulation and analysis.
- Familiarity with cloud computing environments (AWS, GCP, Azure).
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills for remote collaboration.
- Ability to work independently and drive research initiatives.
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AI Research Scientist - Deep Learning
Posted 14 days ago
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Job Description
As a remote scientist, you will be empowered to conduct your research from anywhere, utilizing state-of-the-art computational resources and collaborating seamlessly with colleagues across different time zones. The focus will be on developing and implementing advanced deep learning models for tasks such as natural language processing, computer vision, reinforcement learning, or generative models. You will be expected to conceptualize new research ideas, design experiments, analyze results, and translate research breakthroughs into practical applications.
Key Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence, focusing on areas like neural networks, machine learning, and data science.
- Develop, implement, and evaluate novel AI algorithms and models.
- Design and execute rigorous experiments to test hypotheses and validate research findings.
- Analyze large datasets and extract meaningful insights to inform model development.
- Stay current with the latest advancements in AI and related fields through literature review and conference participation.
- Collaborate effectively with other researchers, engineers, and product teams in a remote environment.
- Publish research findings in leading academic journals and present at international conferences.
- Contribute to the development of AI products and solutions based on research outcomes.
- Mentor junior researchers and interns, sharing knowledge and expertise.
- Write clear and concise technical documentation and reports.
- 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 deep learning, evidenced by publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or peer-reviewed journals.
- Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Solid understanding of machine learning theory, algorithms, and statistical modeling.
- Experience with large-scale data processing and analysis.
- Excellent analytical, critical thinking, and problem-solving abilities.
- Strong communication and collaboration skills, adept at working in a distributed team setting.
AI Research Scientist - Deep Learning
Posted 14 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in deep learning, natural language processing, computer vision, or reinforcement learning.
- Design, develop, and implement novel AI algorithms and models.
- Experiment with and evaluate various deep learning architectures and frameworks.
- Process and analyze large datasets to train and optimize AI models.
- Collaborate with a team of researchers and engineers to translate research findings into practical applications.
- 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 AI conferences and journals.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the overall research strategy and roadmap.
- 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 quantitative field.
- Strong publication record in reputable AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Proven experience in deep learning model development and implementation using frameworks such as TensorFlow, PyTorch, or Keras.
- Expertise in at least one of the following areas: Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, or Generative Models.
- Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Proficiency in programming languages such as Python.
- Experience with big data technologies and distributed computing environments.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills, with the ability to present complex technical information clearly.
- Ability to work independently and collaboratively in a remote research setting.
- A passion for pushing the boundaries of artificial intelligence.
AI Research Scientist - Deep Learning
Posted 14 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct fundamental and applied research in deep learning and AI.
- Design, implement, and evaluate novel deep learning models and algorithms.
- Develop and execute rigorous experiments to test hypotheses.
- Utilize deep learning frameworks like TensorFlow and PyTorch.
- Analyze large datasets to extract insights and inform model development.
- Collaborate with research scientists and engineers globally.
- Publish research findings in leading AI conferences and journals.
- Contribute to the development of AI-powered products and applications.
- Stay current with the latest advancements in AI and deep learning.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven track record of research publications in top AI conferences (e.g., NeurIPS, ICML, ICLR).
- Deep understanding of various deep learning architectures (CNNs, RNNs, Transformers, GANs).
- Proficiency in Python and deep learning libraries (TensorFlow, PyTorch).
- Strong analytical, mathematical, and problem-solving skills.
- Experience with large-scale data analysis and model training.
- Excellent communication and collaboration abilities.
- Ability to work independently and lead research initiatives remotely.