779 Machine Learning Models jobs in the United Kingdom
AI Research Scientist (Deep Learning)
Posted 5 days ago
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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 5 days ago
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Job Description
AI Research Scientist (Deep Learning)
Posted 5 days 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.
Lead AI Research Scientist - Deep Learning
Posted today
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Job Description
Responsibilities:
- Conduct advanced research in deep learning, machine learning, and related AI fields.
- Design, develop, and implement novel AI algorithms and models for complex problem-solving.
- Lead and mentor a team of AI researchers and engineers, guiding their technical development and project execution.
- Collaborate closely with product development teams to integrate research findings into commercial applications.
- Publish research findings in top-tier academic conferences and journals.
- Stay abreast of the latest advancements in AI and emerging technologies, identifying new research opportunities.
- Develop and maintain robust, scalable, and efficient AI systems.
- Contribute to the company's IP portfolio through patent applications and research publications.
- Present research outcomes and technical roadmaps to stakeholders and leadership.
- Foster a culture of scientific rigor, innovation, and collaboration within the AI research group.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of hands-on research experience in AI and deep learning.
- Proven track record of leading research projects and delivering impactful results.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python, C++, or similar languages.
- Deep understanding of various machine learning algorithms, statistical modelling, and data analysis techniques.
- Experience with large-scale data processing and distributed computing.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
- Published research in leading AI conferences (e.g., NeurIPS, ICML, ICLR) is highly desirable.
This is an outstanding opportunity for a visionary scientist to shape the future of AI within a dynamic and research-driven environment. The position offers a competitive salary, extensive benefits, and a hybrid working model to support work-life balance. Join a team at the forefront of technological innovation.
Lead AI/ML Engineer - Deep Learning
Posted today
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Job Description
Your responsibilities will span the entire ML lifecycle, from data acquisition and pre-processing to model training, evaluation, and deployment into production environments. You will lead a team of talented engineers, providing technical guidance, mentorship, and architectural direction. This role requires a deep understanding of various deep learning frameworks (e.g., TensorFlow, PyTorch), advanced algorithms, and best practices for building scalable and robust AI systems. You will collaborate closely with data scientists, software engineers, and product managers to translate business needs into cutting-edge AI functionalities. Staying abreast of the latest research and advancements in AI and ML will be critical to maintaining our competitive edge.
Key responsibilities will include:
- Leading the design, development, and implementation of advanced deep learning models and algorithms.
- Mentoring and guiding a team of AI/ML engineers, fostering technical excellence and innovation.
- Architecting scalable and efficient ML pipelines for training, validation, and deployment.
- Performing rigorous model evaluation and optimization to ensure high performance and accuracy.
- Collaborating with data scientists and stakeholders to define project requirements and success metrics.
- Ensuring the robustness, scalability, and maintainability of AI/ML systems in production.
- Researching and evaluating new AI technologies, frameworks, and methodologies.
- Contributing to the company's intellectual property through innovative solutions and publications.
- Implementing MLOps best practices for seamless model deployment and monitoring.
- Troubleshooting and resolving complex issues related to AI/ML model performance and infrastructure.
The ideal candidate will possess a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 7 years of experience in AI/ML engineering, with at least 3 years in a leadership or lead role, is essential. Deep expertise in deep learning frameworks (TensorFlow, PyTorch), natural language processing (NLP), computer vision, or reinforcement learning is required. Strong programming skills in Python and proficiency with ML libraries (e.g., scikit-learn, Keras) are a must. Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools is highly desirable. Excellent problem-solving, analytical, and communication skills are critical for success in this remote, collaborative environment. A passion for pushing the boundaries of AI is essential.
Senior AI Research Scientist - Deep Learning
Posted today
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Job Description
Responsibilities:
- Conduct advanced research in deep learning, machine learning, and related AI fields.
- Develop, train, and evaluate novel deep learning models for various applications.
- Collaborate with engineering teams to integrate AI models into production systems.
- Stay current with AI research trends and contribute to the scientific community through publications and presentations.
- Mentor and guide junior researchers and engineers.
- Design and implement experiments to validate AI hypotheses.
- Contribute to the development of AI strategies and roadmaps.
- Ensure the ethical and responsible development of AI technologies.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of significant contributions to deep learning research, demonstrated through publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR) or patents.
- Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Scikit-learn).
- Excellent understanding of algorithms, data structures, and statistical modeling.
- Ability to work independently and manage projects effectively in a remote setting.
- Exceptional problem-solving and analytical skills.
- Strong communication and collaboration skills.
Senior AI Research Scientist - Deep Learning
Posted today
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Job Description
Responsibilities:
- Lead research initiatives in areas such as natural language processing, computer vision, reinforcement learning, or generative models.
- Design, implement, and evaluate complex deep learning models using frameworks like TensorFlow, PyTorch, or JAX.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research breakthroughs into practical solutions.
- Stay abreast of the latest academic research and industry trends, identifying opportunities for innovation.
- Mentor junior researchers and contribute to the team's overall technical growth.
- Publish research findings in top-tier conferences and journals, and present work internally and externally.
- Develop and maintain high-quality, well-documented code for research prototypes and production systems.
- Contribute to the strategic direction of AI research within the company.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of impactful research in deep learning, evidenced by publications and/or significant project contributions.
- Expertise in at least one major deep learning framework (e.g., PyTorch, TensorFlow).
- Strong programming skills in Python and experience with relevant libraries (NumPy, SciPy, Pandas).
- Deep understanding of machine learning theory, algorithms, and statistical modeling.
- Excellent problem-solving abilities and a passion for tackling complex, unsolved challenges.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts clearly.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- A proactive, self-motivated individual who thrives in a remote, collaborative environment.
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Lead AI Research Scientist - Deep Learning
Posted today
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Location: This role is fully remote, with the research hub based in Leicester, Leicestershire, UK .
Senior AI/ML Engineer - Deep Learning
Posted 1 day ago
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Job Description
Key Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models.
- Conduct research into new AI/ML techniques and their potential applications.
- Preprocess and analyse large datasets for model training.
- Optimise model performance and computational efficiency.
- Deploy machine learning models into production systems.
- Collaborate with cross-functional teams to define project requirements.
- Stay current with the latest advancements in AI and machine learning.
- Mentor junior engineers and contribute to team knowledge sharing.
- Master's or Ph.D. in Computer Science, AI, or a related field.
- 5+ years of experience in AI/ML engineering with a focus on deep learning.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, Keras).
- Strong understanding of various deep learning architectures (CNNs, RNNs, Transformers).
- Experience with data manipulation and analysis tools.
- Familiarity with cloud computing platforms (AWS, Azure, GCP).
- Excellent analytical and problem-solving abilities.
- Strong communication and teamwork skills.
Lead AI Research Scientist - Deep Learning
Posted 1 day ago
Job Viewed
Job Description
Key Responsibilities:
- Lead and mentor a team of AI researchers focused on deep learning.
- Define research roadmaps and drive innovative AI projects.
- Design, implement, and evaluate novel deep learning models and algorithms.
- Conduct cutting-edge research in areas such as NLP, CV, RL, and generative AI.
- Publish research results in top-tier conferences and journals.
- Collaborate with engineering teams to deploy AI models into production.
- Stay abreast of the latest advancements in AI and machine learning.
- Develop and maintain strong technical leadership within the AI domain.
- Present research findings to internal and external stakeholders.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- 5+ years of research experience in AI/Deep Learning with a strong publication record.
- Proven experience in leading research teams and projects.
- Expertise in deep learning frameworks (TensorFlow, PyTorch).
- Strong theoretical foundation in machine learning and mathematics.
- Experience with large-scale data processing and distributed training.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills.