560 Deep Learning jobs in the United Kingdom
AI Research Scientist (Deep Learning)
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in deep learning, machine learning, and artificial intelligence.
- Develop, implement, and evaluate novel deep learning models and algorithms, particularly in areas such as natural language processing, computer vision, or reinforcement learning.
- Design and execute experiments to test hypotheses and validate research findings.
- Collaborate with other researchers and engineers to integrate AI models into functional systems and products.
- Publish research findings in top-tier scientific conferences and journals.
- Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
- Contribute to the intellectual property portfolio of the company through patents and publications.
- Mentor junior researchers and contribute to a collaborative research environment.
- Work with large-scale datasets, ensuring data quality and developing efficient data processing pipelines.
- Present research progress and results to internal teams and external stakeholders.
Required Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research excellence in deep learning, demonstrated through publications, patents, or significant project contributions.
- Strong theoretical and practical understanding of deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., NumPy, SciPy, scikit-learn).
- Experience with various deep learning architectures (CNNs, RNNs, Transformers, GANs).
- Familiarity with data processing, manipulation, and analysis techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex ideas clearly.
- Ability to work independently and as part of a collaborative, remote research team.
- Experience with distributed training and high-performance computing is a plus.
Join us to work on challenging problems and contribute to the future of artificial intelligence in a supportive and intellectually stimulating remote setting.
AI Research Scientist - Deep Learning
Posted 1 day ago
Job Viewed
Job Description
AI Research Scientist (Deep Learning)
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Conduct fundamental and applied research in deep learning and related AI fields.
- Design, implement, and test novel AI algorithms and models.
- Develop and optimize neural network architectures for various applications.
- Analyze and interpret large datasets to extract meaningful insights.
- Collaborate with cross-functional teams on research projects and product development.
- Publish research findings in leading academic journals and conferences.
- Stay current with the latest advancements in AI and machine learning research.
- Contribute to the development of AI-related software and tools.
- Mentor junior researchers and interns.
- Present research outcomes to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven research experience in deep learning, neural networks, and related areas.
- Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
- Solid understanding of machine learning algorithms and statistical modeling.
- Experience with data analysis, experimental design, and evaluation.
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a remote team.
- Strong written and verbal communication skills for research dissemination.
Senior AI/ML Engineer - Deep Learning
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement advanced deep learning models and algorithms for various applications.
- Train, test, and optimize machine learning models using large-scale datasets.
- Collaborate with data scientists and software engineers to integrate AI/ML models into production systems.
- Conduct research on state-of-the-art AI/ML techniques and evaluate their applicability to business challenges.
- Develop and maintain robust data pipelines and infrastructure for machine learning workflows.
- Ensure the scalability, performance, and efficiency of AI/ML solutions.
- Mentor junior engineers and contribute to the team's technical growth.
- Stay current with the latest advancements in AI, machine learning, and deep learning research.
- Evaluate and select appropriate tools, frameworks, and platforms for AI/ML development.
- Document models, algorithms, and development processes thoroughly.
- Contribute to intellectual property through patents and publications where appropriate.
- Communicate technical concepts and findings clearly to both technical and non-technical stakeholders.
Qualifications:
- A Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- A minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on deep learning.
- Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, and experience with libraries such as NumPy, Pandas, Scikit-learn.
- Strong understanding of machine learning concepts, including supervised, unsupervised, and reinforcement learning.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and as part of a dynamic team.
- Experience with computer vision, natural language processing (NLP), or reinforcement learning is a significant advantage.
- This role is based in **Newcastle upon Tyne, Tyne and Wear, UK**, and requires on-site presence.
Senior AI Research Scientist (Deep Learning)
Posted 1 day ago
Job Viewed
Job Description
You will lead research initiatives, design and implement state-of-the-art deep learning architectures, and conduct rigorous experimentation to validate hypotheses. Responsibilities include developing novel techniques for areas such as natural language processing, computer vision, or reinforcement learning, publishing research findings in top-tier conferences and journals, and collaborating with engineering teams to deploy models into production environments. The ideal candidate possesses a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record. Deep expertise in Python and major deep learning frameworks (TensorFlow, PyTorch) is essential. Experience with large-scale data processing, distributed computing, and cloud platforms (AWS, GCP, Azure) is highly preferred. You must be a self-starter, capable of working autonomously and driving research projects from conception to completion. Excellent problem-solving skills, a passion for innovation, and the ability to mentor junior researchers are key attributes for success. This is a remote position, offering unparalleled flexibility to contribute to world-class AI research from anywhere.
This is a remote-first opportunity for an individual with a proven ability to innovate and contribute significantly to the field of AI. If you are driven by discovery and want to make a tangible impact on the future of artificial intelligence, we invite you to apply.
Senior AI Research Scientist - Deep Learning
Posted 1 day ago
Job Viewed
Job Description
AI Solutions Architect (Deep Learning Focus)
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Architect and design end-to-end AI/ML solutions, with a deep emphasis on deep learning models and frameworks.
- Translate business requirements into technical AI strategies and roadmaps.
- Select appropriate AI/ML algorithms, tools, and platforms for various use cases.
- Oversee the development, training, and deployment of deep learning models.
- Collaborate with data scientists, engineers, and business stakeholders to ensure successful project delivery.
- Evaluate and integrate emerging AI technologies and research findings into practical solutions.
- Provide technical leadership and guidance on AI best practices.
- Develop proof-of-concepts and prototypes to demonstrate the value of AI solutions.
- Ensure the scalability, efficiency, and robustness of AI systems.
- Contribute to the company's intellectual property through innovative solutions and potentially patents.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Extensive experience (7+ years) in architecting and deploying AI/ML solutions.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of various deep learning architectures (CNNs, RNNs, Transformers, GANs).
- Proficiency in programming languages like Python and relevant libraries (NumPy, Pandas, Scikit-learn).
- Experience with cloud-based AI platforms (AWS SageMaker, Azure ML, Google AI Platform).
- Knowledge of MLOps principles and practices for model lifecycle management.
- Excellent analytical, problem-solving, and communication skills.
- Demonstrated ability to lead technical projects and mentor team members.
- Experience with natural language processing (NLP) or computer vision is a significant plus.
Be The First To Know
About the latest Deep learning Jobs in United Kingdom !
Senior AI Research Scientist - Deep Learning
Posted 1 day ago
Job Viewed
Job Description
Senior AI Research Scientist - Deep Learning
Posted 1 day ago
Job Viewed
Job Description
Responsibilities include:
- Conducting advanced research in areas such as natural language processing, computer vision, reinforcement learning, and generative models.
- Designing and implementing state-of-the-art deep learning architectures using frameworks like TensorFlow, PyTorch, or JAX.
- Collaborating with cross-functional teams, including software engineers and product managers, to integrate AI solutions into products and services.
- Staying abreast of the latest academic research and industry trends in AI and machine learning.
- Publishing research findings in top-tier conferences and journals.
- Mentoring junior researchers and contributing to the team's technical growth.
- Evaluating and validating model performance, ensuring robustness and scalability.
- Contributing to the strategic direction of AI research within the organization.
Remote AI/ML Engineer (Deep Learning)
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement deep learning models.
- Train, test, and validate machine learning algorithms and neural networks.
- Preprocess and manage large datasets for model training.
- Optimize model performance and conduct hyperparameter tuning.
- Deploy deep learning models into production environments.
- Collaborate with cross-functional teams on AI projects.
- Write clean, efficient, and well-documented code in Python.
- Stay current with advancements in deep learning research and techniques.
- Monitor and maintain deployed AI models.
- Contribute to the development of MLOps practices.
- Troubleshoot and resolve technical issues related to AI models.
- Contribute to the evaluation of new AI tools and technologies.
Qualifications:
- Proven experience as an AI/ML Engineer or similar role with a focus on Deep Learning.
- Strong knowledge of deep learning architectures (CNNs, RNNs, Transformers, etc.).
- Proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn).
- Expertise in deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Understanding of data preprocessing, feature engineering, and model evaluation.
- Solid grasp of algorithms, data structures, and software development principles.
- Excellent problem-solving and analytical capabilities.
- Strong communication and collaboration skills for remote work.
- Master's or PhD in Computer Science, Machine Learning, or a related field.