What Jobs are available for Deepmind in the United Kingdom?
Showing 2974 Deepmind jobs in the United Kingdom
Senior Machine Learning Engineer - AI Development
Posted 3 days ago
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Job Description
Responsibilities:
- Design, develop, train, and deploy machine learning models for various applications.
 - Implement and optimize ML algorithms using Python and popular ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
 - Collaborate with data scientists and domain experts to understand business requirements and translate them into ML solutions.
 - Build and maintain robust data pipelines for model training and evaluation.
 - Develop scalable and efficient ML systems for production environments.
 - Perform data analysis and feature engineering to improve model performance.
 - Stay current with the latest advancements in machine learning and artificial intelligence research.
 - Contribute to code reviews, documentation, and knowledge sharing within the team.
 - Evaluate and select appropriate ML models and techniques for specific problems.
 - Monitor and maintain deployed ML models, ensuring optimal performance and reliability.
 
Qualifications:
- Master's degree or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
 - 5+ years of experience in machine learning engineering or a similar role.
 - Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch, Keras, or scikit-learn.
 - Strong understanding of core ML concepts, algorithms (e.g., regression, classification, clustering, deep learning), and statistical modelling.
 - Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
 - Solid software engineering skills, including experience with version control (Git).
 - Excellent analytical and problem-solving abilities.
 - Strong communication and collaboration skills, comfortable working in a remote setting.
 - Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
 
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                    Graduate Software Engineer - AI Development
Posted 3 days ago
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Job Description
Responsibilities:
- Assist in the development and testing of AI models and algorithms under the guidance of senior engineers.
 - Write, test, and debug code for AI applications and tools.
 - Contribute to data preprocessing and feature engineering tasks.
 - Collaborate with team members to understand project requirements and objectives.
 - Participate in code reviews and team meetings.
 - Research and explore new AI technologies and techniques.
 - Document code and technical processes.
 - Support the deployment and maintenance of AI systems.
 - Learn and apply software development best practices.
 - Gain exposure to various AI domains such as machine learning, natural language processing, or computer vision.
 
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
 - Strong foundational knowledge of programming concepts and data structures.
 - Proficiency in at least one programming language such as Python, Java, or C++.
 - Familiarity with AI/ML concepts is highly desirable.
 - Excellent problem-solving skills and a keen attention to detail.
 - Strong communication and teamwork abilities.
 - Self-motivated and eager to learn new technologies.
 - Ability to work independently and manage time effectively in a remote setting.
 - A genuine interest in artificial intelligence and software development.
 
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                    Lead AI Ethicist - Responsible AI Development
Posted 6 days ago
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Job Description
As the Lead AI Ethicist, you will be responsible for establishing and implementing ethical frameworks, policies, and guidelines for AI development. You will work closely with data scientists, engineers, product managers, and legal teams to identify and mitigate potential ethical risks, biases, and societal impacts of AI. Your insights will be crucial in shaping AI governance and promoting trust in our AI products.
Key Responsibilities:
- Develop, implement, and refine AI ethics principles, policies, and best practices for the organization.
 - Conduct ethical risk assessments for AI projects, identifying potential biases, fairness issues, and societal implications.
 - Collaborate with AI development teams to integrate ethical considerations throughout the AI lifecycle, from design to deployment.
 - Provide guidance and training to engineers, data scientists, and product managers on AI ethics and responsible innovation.
 - Monitor and evaluate the ethical performance of deployed AI systems.
 - Stay abreast of evolving AI ethics research, regulatory landscapes, and industry standards.
 - Engage with external stakeholders, including academics, policymakers, and advocacy groups, to contribute to the broader AI ethics discourse.
 - Develop communication strategies to articulate the organization's commitment to responsible AI.
 - Contribute to the development of AI governance structures and oversight mechanisms.
 - Advocate for fairness, transparency, accountability, and privacy in AI systems.
 - Lead cross-functional working groups focused on specific AI ethics challenges.
 
- Advanced degree (Master's or Ph.D.) in Ethics, Philosophy, Law, Computer Science with a focus on AI Ethics, Social Sciences, or a related field.
 - Minimum of 5 years of experience specializing in AI ethics, technology ethics, or responsible innovation.
 - Deep understanding of AI/ML concepts, capabilities, and limitations.
 - Proven experience in developing ethical frameworks, policies, and guidelines.
 - Familiarity with issues of bias, fairness, transparency, and accountability in AI systems.
 - Excellent analytical, critical thinking, and problem-solving skills.
 - Strong communication, presentation, and interpersonal skills, with the ability to influence diverse stakeholders.
 - Experience working in a technology or R&D environment is highly desirable.
 - Ability to translate complex ethical concepts into practical guidance for technical teams.
 - Knowledge of relevant regulations and legal frameworks is a plus.
 
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                    Lead AI Ethicist - Responsible AI Development
Posted 3 days ago
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Job Description
Key responsibilities include:
- Developing and implementing comprehensive AI ethics principles, policies, and governance frameworks.
 - Conducting thorough ethical impact assessments for new AI products and features.
 - Advising product and engineering teams on ethical considerations in AI design, development, and deployment.
 - Researching emerging ethical challenges and best practices in AI and machine learning.
 - Fostering a culture of responsible AI development within the organization through training and awareness programs.
 - Collaborating with external stakeholders, including researchers, policymakers, and industry bodies, on AI ethics initiatives.
 - Interpreting and applying relevant regulations and standards related to AI and data privacy.
 - Communicating complex ethical issues to diverse audiences, including technical and non-technical stakeholders.
 - Contributing to the company's thought leadership in the field of responsible AI.
 
The successful candidate will possess a Master's or PhD in Ethics, Philosophy, Law, Computer Science, or a related field with a specialization in AI ethics. A minimum of 7 years of experience in ethics, policy development, or a related field, with at least 3 years focused on AI ethics, is required. Demonstrable expertise in ethical risk analysis, bias mitigation, transparency, and accountability in AI systems is essential. Exceptional analytical, critical thinking, and communication skills are a must. Experience working in a fast-paced technology environment is highly desirable. This is a unique opportunity to influence the ethical trajectory of AI and contribute to building trustworthy intelligent systems.
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                    AI Research Scientist - Deep Learning
Posted 2 days ago
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Job Description
Primary Responsibilities:
- Conduct original research in deep learning and related AI fields.
 - Develop and implement novel AI algorithms and models.
 - Analyze and interpret complex data to derive insights.
 - Collaborate with engineers to deploy research prototypes.
 - Publish research findings in leading academic venues.
 - Stay current with the latest advancements in AI research.
 - Contribute to the intellectual property portfolio of the company.
 - Present research ideas and results to technical and non-technical audiences.
 
Required Skills and Experience:
- PhD in Computer Science, AI, ML, or a related field.
 - Demonstrated research experience in deep learning (CNNs, RNNs, Transformers, etc.).
 - Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
 - Strong understanding of machine learning algorithms and statistical modeling.
 - Experience with large-scale data processing and analysis.
 - Excellent problem-solving and critical thinking skills.
 - Strong communication and collaboration abilities in a remote setting.
 
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                    AI Research Scientist - Deep Learning
Posted 4 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in deep learning, exploring new architectures, training methodologies, and optimization techniques.
 - Design, develop, and implement advanced deep learning models for complex AI applications.
 - Collaborate with a world-class team of researchers and engineers on challenging AI projects.
 - Publish research findings in top-tier academic conferences and journals.
 - Develop and maintain robust, scalable, and efficient AI/ML pipelines for research and deployment.
 - Stay abreast of the latest advancements in AI, machine learning, and related fields through continuous learning and literature review.
 - Experiment with different algorithms and datasets, analyze results, and draw insightful conclusions.
 - Contribute to the intellectual property portfolio through invention disclosures and patent applications.
 - Mentor junior researchers and contribute to a collaborative and innovative research environment.
 - Present research outcomes and technical details to both technical and non-technical audiences.
 
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related quantitative field.
 - A strong publication record in leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
 - Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
 - Deep understanding of fundamental machine learning concepts, algorithms, and statistical modeling.
 - Proficiency in programming languages like Python, along with experience in scientific computing libraries (e.g., NumPy, SciPy, Pandas).
 - Experience with large-scale datasets and distributed computing environments is a significant plus.
 - Excellent analytical, problem-solving, and critical thinking skills.
 - Exceptional communication and collaboration abilities, essential for a remote research setting.
 - Ability to work independently, be self-motivated, and drive research initiatives forward.
 - Experience with cloud platforms (AWS, GCP, Azure) for machine learning workloads is advantageous.
 
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                    AI Research Engineer - Deep Learning
Posted 6 days ago
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AI Research Scientist - Deep Learning
Posted 3 days ago
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in deep learning, exploring new architectures, algorithms, and training methodologies.
 - Develop, implement, and rigorously test advanced deep learning models for complex problem domains.
 - Collaborate with a global team of researchers and engineers to translate research ideas into practical applications.
 - Publish research findings in top-tier AI conferences and journals.
 - Contribute to the intellectual property portfolio through patent applications.
 - Stay abreast of the latest advancements and trends in the fields of AI, machine learning, and deep learning.
 - Design and execute experiments to validate hypotheses and measure the performance of AI models.
 - Develop robust and scalable AI solutions that can be integrated into production systems.
 - Mentor junior researchers and interns, fostering a culture of innovation and knowledge sharing.
 - Communicate complex technical concepts effectively to both technical and non-technical audiences.
 - Contribute to the strategic direction of the research roadmap and identify new research opportunities.
 
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
 - A minimum of 5 years of post-doctoral or industry research experience in deep learning.
 - Proven track record of impactful research contributions, demonstrated through publications in leading AI venues (e.g., NeurIPS, ICML, ICLR, CVPR).
 - Deep expertise in various deep learning frameworks such as TensorFlow, PyTorch, or JAX.
 - Strong theoretical understanding of machine learning fundamentals, statistical modeling, and optimization techniques.
 - Proficiency in programming languages commonly used in AI research, such as Python.
 - Experience with large-scale data processing and distributed computing is highly desirable.
 - Excellent problem-solving skills, creativity, and a passion for scientific discovery.
 - Strong written and verbal communication skills, with the ability to articulate complex ideas clearly.
 - Ability to work independently and collaboratively in a remote research environment.
 - Experience in areas such as natural language processing, computer vision, reinforcement learning, or generative models is a plus.
 
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                    AI Research Scientist - Deep Learning
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in deep learning, machine learning, and related AI fields.
 - Design, implement, and evaluate novel algorithms and models for complex AI challenges.
 - Develop and train large-scale neural networks and other deep learning architectures.
 - Collaborate with a global team of researchers and engineers to bring research ideas to fruition.
 - Publish research findings in top-tier academic conferences and journals.
 - Stay abreast of the latest advancements in AI and machine learning literature.
 - Develop prototypes and proof-of-concepts for new AI applications.
 - Contribute to the development of open-source AI libraries and tools.
 - Present research outcomes to technical and non-technical audiences.
 - Mentor junior researchers and contribute to the growth of the AI research community.
 
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
 - Demonstrated research experience and a strong publication record in deep learning.
 - Proficiency in programming languages such as Python and experience with AI frameworks (e.g., TensorFlow, PyTorch).
 - Deep understanding of machine learning principles, statistical modeling, and algorithms.
 - Experience with large datasets and distributed computing environments.
 - Excellent analytical, problem-solving, and critical thinking skills.
 - Strong communication and presentation abilities.
 - Ability to work independently and collaboratively in a remote research setting.
 
This is a unique opportunity for a highly motivated researcher to contribute to transformative AI technologies and influence the future of the field. You will be part of a forward-thinking organisation that values innovation and scientific rigor.
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                    AI Research Scientist - Deep Learning
Posted 3 days ago
Job Viewed
Job Description
Is this job a match or a miss?