1,493 Machine Learning Models jobs in the United Kingdom
Senior AI Engineer - Machine Learning Models
Posted 4 days ago
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Job Description
Responsibilities:
- Design, develop, and implement sophisticated machine learning models for various applications, including predictive analytics, natural language processing, and computer vision.
- Train, evaluate, and optimize ML models using large datasets, ensuring accuracy, efficiency, and robustness.
- Collaborate with data scientists and software engineers to integrate AI models into production systems and applications.
- Research and stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
- Develop and maintain MLOps pipelines for model deployment, monitoring, and retraining.
- Conduct experiments, analyze results, and present findings to technical and non-technical stakeholders.
- Contribute to the architectural design of AI systems and platforms.
- Identify opportunities for AI-driven innovation and propose new solutions to business challenges.
- Ensure the ethical development and deployment of AI models, considering fairness, transparency, and bias mitigation.
- Mentor junior AI engineers and contribute to the team's technical growth.
- Write clean, well-documented, and maintainable code in relevant programming languages (e.g., Python).
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in developing and deploying machine learning models in a professional setting.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and proficiency with libraries like NumPy, Pandas, Scikit-learn.
- Solid understanding of various ML algorithms (e.g., regression, classification, clustering, deep neural networks).
- Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities, with experience working in agile teams.
- Experience with big data technologies (e.g., Spark) is a plus.
- Knowledge of ethical AI principles and bias mitigation techniques.
This is an exciting opportunity to work at the forefront of AI innovation. The role is based in **Coventry, West Midlands, UK**, offering a blend of in-office collaboration and remote flexibility.
AI Research Scientist - Machine Learning Models
Posted 10 days ago
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Job Description
- Conducting fundamental and applied research in machine learning, deep learning, and related AI fields.
- Developing and prototyping new algorithms and model architectures.
- Designing and executing experiments to validate research hypotheses.
- Analyzing large datasets to extract insights and inform model development.
- Collaborating with engineers to integrate research findings into production systems.
- Publishing research findings in top-tier academic conferences and journals.
- Staying at the forefront of AI advancements and identifying emerging research areas.
- Mentoring junior researchers and contributing to the team's scientific knowledge base.
- Contributing to the development of intellectual property and patent applications.
- Presenting research concepts and results to technical and non-technical audiences.
Lead AI Research Scientist - Machine Learning Models
Posted 1 day ago
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Job Description
Responsibilities:
- Lead and conduct advanced research in artificial intelligence and machine learning, focusing on areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop and implement novel algorithms and models to solve complex problems.
- Design and execute research experiments, analyse results, and document findings.
- Collaborate with a team of researchers and engineers to translate research into practical applications.
- Publish research findings in leading academic conferences and journals.
- Stay abreast of the latest advancements and trends in AI and machine learning globally.
- Mentor and guide junior researchers and data scientists.
- Contribute to the strategic direction of the AI research roadmap.
- Develop and maintain strong collaborations with academic institutions and industry partners.
- Present research findings to technical and non-technical audiences.
- Ensure research methodologies are rigorous and reproducible.
- Identify opportunities for intellectual property development and patent applications.
Qualifications:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of post-doctoral research experience or equivalent industry experience in AI/ML.
- Demonstrated track record of significant contributions to AI/ML research, evidenced by publications, patents, or open-source contributions.
- Expertise in one or more core areas of AI/ML (e.g., deep learning frameworks like TensorFlow, PyTorch; NLP; computer vision).
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Scikit-learn).
- Experience with large-scale data processing and distributed computing.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong leadership, communication, and collaboration abilities.
- Ability to work independently and lead research initiatives in a remote setting.
- Experience in cloud computing platforms (AWS, Azure, GCP) is beneficial.
This is an unparalleled opportunity to be at the forefront of AI innovation. The role is fully remote, allowing for maximum flexibility. The research focus and team collaborations often orbit around advancements pertinent to Norwich, Norfolk, UK .
Senior AI Research Scientist - Machine Learning Models
Posted 10 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence, focusing on developing novel algorithms and models.
- Design, build, train, and evaluate sophisticated ML models for various applications, ensuring scalability and efficiency.
- Collaborate with engineering teams to integrate AI models into production systems and ensure seamless deployment.
- Stay abreast of the latest advancements in AI research and competitive landscape, identifying new opportunities and potential applications.
- Develop and implement robust data preprocessing and feature engineering pipelines to optimize model performance.
- Publish research findings in top-tier AI conferences and journals, and contribute to the company's intellectual property.
- Mentor junior researchers and engineers, fostering a culture of innovation and scientific rigor within the AI team.
- Present complex technical concepts and research results to both technical and non-technical audiences.
- Contribute to shaping the strategic direction of AI research and development within the organisation.
- Work on challenging AI projects at our Aberdeen, Scotland, UK site, with flexibility for remote collaboration.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of research and development experience in machine learning and AI.
- Proven track record of developing and deploying advanced ML models (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong mathematical and statistical background.
- Experience with big data technologies and distributed computing frameworks is a plus.
- Excellent problem-solving skills and the ability to tackle complex, open-ended research challenges.
- Strong communication and collaboration skills, with the ability to work effectively in a hybrid team environment.
- Publications in reputable AI venues are highly desirable.
- Must be eligible to work in the UK and comfortable with a hybrid work arrangement in Aberdeen, Scotland, UK .
Senior Machine Learning Engineer - Generative Models
Posted 10 days ago
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Job Description
- Design, implement, and optimize advanced machine learning algorithms and models.
- Lead the development lifecycle of generative AI projects, from ideation and data preparation to model training, evaluation, and deployment.
- Collaborate closely with data scientists, software engineers, and product managers to translate business requirements into scalable AI solutions.
- Conduct in-depth research into state-of-the-art ML techniques and contribute to the company's intellectual property.
- Develop robust pipelines for data ingestion, feature engineering, and model monitoring in a production environment.
- Mentor junior engineers and contribute to the growth of our machine learning capabilities.
- Stay abreast of the latest research publications and industry trends in AI and machine learning.
- Ensure the ethical development and deployment of AI systems.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience (5+ years) in developing and deploying machine learning models, with a significant portion focused on generative models (e.g., GANs, VAEs, Transformers).
- Strong programming skills in Python and proficiency with ML frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps best practices.
- Excellent understanding of statistical modeling, deep learning, and related mathematical concepts.
- Strong problem-solving skills and the ability to work independently in a remote setting.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
- Experience with large-scale data processing frameworks like Spark is a plus.
AI Research Scientist - Deep Learning
Posted 1 day ago
Job Viewed
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.
AI Research Scientist - Deep Learning
Posted 3 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.
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AI Research Scientist - Deep Learning
Posted 7 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 7 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.
AI Research Scientist - Deep Learning
Posted 11 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct fundamental and applied research in deep learning, neural networks, and related AI fields.
- Develop and implement novel deep learning models and algorithms for complex problems.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large datasets to extract insights and train state-of-the-art models.
- Collaborate with other researchers and engineers to integrate research findings into practical applications.
- Publish research findings in top-tier AI conferences and journals.
- Contribute to patent applications for novel technologies.
- Stay current with the latest research trends and advancements in AI and machine learning.
- Present research results to technical and non-technical audiences.
- Mentor junior researchers and contribute to a collaborative research environment.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Proven experience in developing and implementing deep learning models (e.g., CNNs, RNNs, Transformers).
- Proficiency in programming languages such as Python, and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Solid understanding of linear algebra, calculus, probability, and statistical methods.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote teamwork.
- Ability to work independently and manage research projects proactively.
- Eligibility to work in the UK is required.
This is a fully remote position, allowing you to contribute from anywhere within the UK. Join our forward-thinking organization and make a significant impact in the rapidly evolving field of AI and Emerging Technologies. This role supports initiatives relevant to Liverpool, Merseyside, UK , operating as a remote position.