1,262 Deepmind jobs in the United Kingdom
AI Development Specialist
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AI Research Engineer
(phone number removed)
Hybrid working, flexibility to travel
REED Technology are working with a client seeking an exceptional AI Research Engineer to take on a pivotal role in shaping the future of Artificial Intelligence in the UK. This position is at the heart of a national initiative, working not only with academic but also with commercial organisations and research bodies, to harness the power of the largest AI machines in the country.
This is a varied and high-impact role, with responsibilities spanning:
- Hands-on technical work - designing, developing, and optimising AI workflows and machine learning systems.
- Outreach & collaboration - running seminars, training sessions, and engaging with academic, public sector, and commercial stakeholders.
- Leadership - guiding a small specialist team of engineers (though this is a smaller element of the role compared to technical delivery).
You will be at the forefront of delivering services and solutions that enable world-leading researchers and organisations to exploit cutting-edge AI at scale.
Key Responsibilities
- Lead technical development on AI workflows, optimisation, and large language models (LLMs).
- Collaborate with researchers, industry partners, and non-technical stakeholders to understand needs and deliver effective AI solutions.
- Provide outreach and training, helping users across the UK to make the most of advanced AI resources.
- Play a hands-on role in coding, testing, and optimising AI applications in high-performance computing environments.
- Contribute to the design and delivery of strategic roadmaps for AI research infrastructure.
- Support and mentor a team of software engineers, ensuring high standards of technical excellence.
This role is ideal for someone who has worked solidly in AI and machine learning and is now looking to apply their expertise on a national stage.
Essential experience and skills:
- Strong track record in AI/ML development and workflows.
- Proven ability to design and optimise workflows for large-scale systems.
- Solid hands-on coding experience (C/C++, Fortran, or similar) with complex, scalable systems.
- Experience with HPC environments and parallelisation techniques (MPI, OpenMP).
- Excellent communication skills, with the ability to work confidently with technical and non-technical audiences.
- Experience engaging with a range of stakeholders, from academic researchers to commercial partners.
Desirable experience:
- Knowledge of heterogeneous parallel programming (CUDA, OpenCL, SYCL).
- Familiarity with LLMs and their applications.
- Experience delivering training, seminars, or public engagement activities.
What's on Offer
- Permanent role with excellent opportunities to shape the future of UK AI research and innovation.
- Hybrid working policy (1/2days a month to various sites)
- The chance to work with the largest AI machines in the UK and contribute to projects with national and international impact.
The successful candidate will be required to undergo a Disclosure and Barring Service (DBS) check as part of the pre-employment service.
Applicants must also have full rights to work in the UK ; visa sponsorship is not available for this position.
If you are interested in this role and have relevant experience, please apply using the link provided.
AI Development Apprentice
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What You Will Learn and Do:
- Assist in the development and implementation of AI models and algorithms.
- Support data collection, cleaning, and preprocessing for machine learning projects.
- Learn to use various AI and machine learning frameworks and tools.
- Contribute to coding and scripting tasks under the guidance of experienced AI engineers.
- Participate in team meetings and contribute to project discussions.
- Gain exposure to different AI applications, including natural language processing and computer vision.
- Help in testing and debugging AI systems and applications.
- Develop foundational knowledge in data analysis and visualization.
- Understand the ethical considerations and best practices in AI development.
- Receive dedicated training and support to achieve a recognized qualification in AI or a related field.
Requirements:
- A strong interest in artificial intelligence and technology.
- Basic understanding of programming concepts (e.g., Python) is beneficial but not essential.
- Good analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Ability to learn quickly and adapt to new technologies.
- Enthusiasm and a proactive attitude towards learning.
- Willingness to work collaboratively in a remote team environment.
- Must be legally eligible to work in the UK.
- GCSEs in Maths and English (or equivalent) are typically required, with a desire to progress to higher-level qualifications.
- This role is based in Coventry, West Midlands, UK , but is offered on a fully remote basis.
Junior Data Scientist - AI Development
Posted 10 days ago
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Key Responsibilities:
- Assist senior data scientists in collecting, cleaning, and preprocessing large datasets for AI model training.
- Implement and test various machine learning algorithms under supervision.
- Develop and maintain data pipelines and workflows.
- Create visualizations and dashboards to communicate data insights and model performance.
- Participate in code reviews and contribute to the development of robust data science solutions.
- Research and apply state-of-the-art machine learning techniques.
- Document methodologies, findings, and code effectively.
- Collaborate with engineering teams to deploy machine learning models into production environments.
- Analyze model results and provide feedback for iterative improvement.
- Contribute to a culture of learning and innovation within the data science team.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Solid understanding of fundamental data science concepts and machine learning algorithms (e.g., regression, classification, clustering).
- Proficiency in Python and relevant libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Experience with SQL for data querying and manipulation.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
- Strong problem-solving abilities and attention to detail.
- Excellent communication skills, both written and verbal.
- Ability to learn quickly and adapt to new technologies.
- A proactive attitude and a genuine interest in AI and machine learning.
- Comfortable working independently in a remote setting.
This internship provides invaluable hands-on experience and a direct pathway to potential full-time employment. If you're eager to apply your academic knowledge to practical AI challenges and thrive in a collaborative, remote environment, we encourage you to apply.
Lead AI Ethicist - Responsible AI Development
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Key Responsibilities:
- Develop and implement organizational AI ethics policies and frameworks.
- Conduct ethical risk assessments and impact analyses for AI projects.
- Provide guidance and recommendations to AI development teams on ethical best practices.
- Collaborate with stakeholders to embed ethical considerations into AI lifecycles.
- Stay current with AI ethics research, regulations, and industry standards.
- Promote a culture of responsible innovation and ethical awareness.
- Advise on bias detection, mitigation, and fairness in AI systems.
- Contribute to the development of explainable and transparent AI solutions.
Qualifications:
- Master's or Ph.D. in Ethics, Philosophy, Computer Science, Law, or a related field with a focus on AI ethics.
- 7+ years of experience in AI ethics, responsible AI, or technology policy.
- Strong understanding of AI/ML concepts and their societal implications.
- Expertise in ethical risk assessment, bias mitigation, and fairness metrics.
- Excellent communication, presentation, and interpersonal skills.
- Proven ability to influence and guide diverse teams in a remote setting.
Lead AI Ethicist - Responsible AI Development
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Responsibilities include developing and implementing robust AI ethics policies and review processes, collaborating closely with AI researchers, engineers, product managers, and legal teams to integrate ethical considerations throughout the AI lifecycle. You will lead discussions and workshops on AI ethics, foster a culture of responsible innovation, and provide expert guidance on potential ethical risks and mitigation strategies. This role requires a deep understanding of both AI technologies and ethical theories, with the ability to translate complex concepts into actionable recommendations. You will also be responsible for external engagement, representing the company at conferences and contributing to public discourse on AI ethics. Staying current with evolving regulations and industry standards is paramount.
Qualifications:
- Advanced degree (Master's or PhD) in Philosophy, Ethics, Computer Science, Law, or a related interdisciplinary field with a specialization in AI ethics.
- Minimum of 5 years of experience in AI ethics, technology policy, or a related field, with a focus on artificial intelligence.
- Demonstrated expertise in ethical frameworks, fairness metrics, bias detection and mitigation, and explainable AI (XAI).
- Strong understanding of machine learning principles and AI development processes.
- Excellent research, analytical, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to influence stakeholders at all levels.
- Experience in developing and implementing ethical guidelines or review boards.
- Familiarity with global AI regulations and standards is a plus.
This is a unique opportunity to shape the future of responsible AI. If you are passionate about ethical technology and possess the expertise to guide cutting-edge AI development, we invite you to apply.
Principal AI Ethicist, Responsible AI Development
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Senior Program Manager - AI Development Initiatives
Posted 8 days ago
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Key Responsibilities:
- Lead the planning, execution, and delivery of AI development programs.
- Define project scope, goals, deliverables, and success criteria.
- Develop detailed project plans, including timelines, resource allocation, and budgets.
- Manage and motivate cross-functional project teams.
- Identify, assess, and mitigate project risks and issues.
- Facilitate communication and collaboration among stakeholders.
- Track project progress and report on key performance indicators.
- Ensure projects are delivered on time, within budget, and to the required quality standards.
- Manage vendor relationships and contracts as needed.
- Champion best practices in project and program management.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field.
- 7+ years of experience in program or project management, with a focus on technology.
- Demonstrated experience managing AI, Machine Learning, or Data Science projects.
- Proficiency in project management software (e.g., MS Project, Jira).
- Strong understanding of Agile and Waterfall methodologies.
- Excellent leadership, communication, and interpersonal skills.
- Proven ability to manage complex projects and cross-functional teams.
- PMP, PRINCE2, or Agile certification is a plus.
- Strong analytical and problem-solving skills.
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AI Research Scientist - Deep Learning
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AI Research Scientist (Deep Learning)
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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 Research Scientist - Deep Learning
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