4,571 Artificial Intelligence Ethics jobs in the United Kingdom
Senior Lecturer in Artificial Intelligence Ethics
Posted 2 days ago
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Job Description
- Deliver engaging and high-quality lectures and seminars on AI Ethics, responsible AI, and related topics to undergraduate and postgraduate students.
- Develop and revise course content, ensuring it remains current with advancements in AI and ethical discourse.
- Conduct original, high-impact research in AI Ethics, publishing findings in leading academic journals and presenting at international conferences.
- Supervise doctoral and master's students in their research projects.
- Contribute to the strategic development of the AI Ethics program and related academic initiatives.
- Foster interdisciplinary collaboration with researchers across various departments.
- Participate in departmental administrative duties, including admissions, curriculum review, and committee work.
- Engage in public outreach and knowledge exchange activities related to AI Ethics.
- Mentor students, providing academic and career guidance.
- Seek and secure external research funding.
- Stay abreast of global trends and debates in AI governance and ethics.
- Contribute to the vibrant intellectual community of the university.
- PhD in Philosophy, Ethics, Computer Science, Sociology, or a related field with a significant focus on AI Ethics or Technology Ethics.
- A strong publication record in reputable peer-reviewed journals and conferences.
- Demonstrated experience in teaching at the university level, including curriculum development.
- Proven ability to attract research funding.
- Excellent communication, presentation, and interpersonal skills.
- A deep understanding of current AI technologies and their ethical challenges.
- Experience supervising postgraduate students is essential.
- Ability to work effectively within a hybrid academic environment.
- A commitment to fostering an inclusive and diverse learning environment.
- Passion for exploring the complex relationship between technology and society.
Senior Machine Learning Engineer - AI Development
Posted 12 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.
Graduate Software Engineer - AI Development
Posted today
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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.
Graduate Software Engineer - AI Development
Posted 21 days ago
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Job Description
Responsibilities:
- Assist in the design, coding, and implementation of AI models and algorithms.
- Support the development and testing of AI-powered software applications.
- Collaborate with senior engineers and researchers on research and development projects.
- Write clean, efficient, and well-documented code.
- Participate in code reviews and contribute to team discussions.
- Analyze data and assist in the training and evaluation of AI models.
- Contribute to the documentation of software designs and processes.
- Learn and apply new technologies and methodologies in AI and machine learning.
- Assist in the integration of AI components into existing systems.
- Troubleshoot and debug software issues.
Qualifications:
- Recent graduate with a Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
- Strong foundation in programming languages such as Python, Java, or C++.
- Understanding of AI concepts, machine learning principles, and data structures.
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities, suitable for remote collaboration.
- Eagerness to learn and adapt to new technologies.
- Self-motivated with the ability to work independently and manage time effectively.
- A keen interest in Artificial Intelligence and its applications.
Graduate Software Engineer - AI Development
Posted 21 days ago
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Job Description
Your Responsibilities will include:
- Assisting in the design, development, and testing of AI and machine learning models.
- Writing clean, efficient, and well-documented code in languages such as Python, Java, or C++.
- Collaborating with senior engineers to implement AI solutions for various applications.
- Participating in code reviews and contributing to the improvement of software development processes.
- Researching and evaluating new AI technologies and frameworks.
- Analyzing and processing large datasets to train machine learning models.
- Contributing to the documentation of AI algorithms and software components.
- Working effectively within a distributed team using agile methodologies and remote collaboration tools.
- Learning and applying best practices in software engineering and AI development.
- Presenting findings and project progress to the team.
What we are looking for:
- A recent graduate (or soon-to-be graduate) with a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- Strong programming skills in at least one object-oriented programming language (e.g., Python, Java, C++).
- Familiarity with AI/ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- A solid understanding of data structures, algorithms, and software development principles.
- Excellent problem-solving abilities and a keen analytical mindset.
- Strong written and verbal communication skills, essential for remote collaboration.
- Proactive attitude, eagerness to learn, and ability to work independently in a remote environment.
- Experience with version control systems (e.g., Git) is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous.
Senior AI Ethics Researcher - Responsible AI Development
Posted 20 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research on AI ethics, bias, fairness, transparency, and accountability.
- Develop and implement frameworks, policies, and best practices for responsible AI development and deployment.
- Collaborate closely with AI/ML engineers, data scientists, and product managers to integrate ethical considerations into system design and implementation.
- Perform ethical risk assessments for new and existing AI systems.
- Advise on regulatory compliance and industry standards related to AI ethics.
- Contribute to public discourse and thought leadership on AI ethics through publications, presentations, and workshops.
- Develop training materials and conduct workshops for internal teams on AI ethics principles.
- Monitor evolving societal and technological trends to anticipate future ethical challenges in AI.
- Engage with external stakeholders, including academics, policymakers, and civil society organisations.
- Advanced degree (PhD preferred) in Computer Science, Philosophy, Law, Social Sciences, or a related field with a specialization in AI ethics or responsible AI.
- Demonstrated experience in conducting research and publishing in the field of AI ethics.
- Strong understanding of AI/ML technologies and their societal implications.
- Excellent analytical, critical thinking, and problem-solving skills.
- Proven ability to translate complex ethical concepts into actionable guidelines.
- Exceptional written and verbal communication skills.
- Experience in policy development or ethical review processes is a plus.
- Ability to work effectively in a multidisciplinary and fast-paced research environment.
Lead AI Ethicist - Responsible AI Development
Posted 10 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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Lead Technical Project Manager - AI Development
Posted 19 days ago
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Job Description
Key Responsibilities:
- Lead the planning, execution, and delivery of sophisticated AI and machine learning projects.
- Define project scope, goals, and deliverables that support business objectives, in collaboration with senior management and stakeholders.
- Develop detailed project plans, including timelines, resource allocation, and budget management.
- Manage and motivate cross-functional project teams, fostering a collaborative and high-performance culture.
- Implement and oversee agile project management methodologies, ensuring iterative development and continuous improvement.
- Identify, assess, and mitigate project risks and dependencies.
- Facilitate effective communication among project stakeholders, including technical teams, product owners, and executive leadership.
- Track project progress, milestones, and key performance indicators (KPIs), reporting regularly to senior management.
- Ensure the quality and integrity of project deliverables, adhering to industry best practices and company standards.
- Manage vendor relationships and third-party integrations as required.
The ideal candidate will possess a minimum of 7 years of experience in project management, with at least 3 years specifically focused on technical projects, particularly in AI, machine learning, or data science. A strong understanding of software development lifecycles and various project management frameworks (Agile, Scrum, Waterfall) is essential. Excellent leadership, communication, and interpersonal skills are paramount, enabling you to effectively manage diverse teams and influence stakeholders at all levels. PMP, Prince2, or Agile certifications are highly desirable. Experience with project management tools such as Jira, Confluence, or Asana is expected. You should have a Bachelor's degree in Computer Science, Engineering, Business, or a related field. This role requires a strong analytical mindset and the ability to solve complex problems under pressure, working from our office located in Bristol, South West England, UK .
Machine Learning Engineer - AI Research
Posted today
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Job Description
Key Responsibilities:
- Design, build, train, and deploy advanced machine learning models for various AI applications.
- Conduct research and experimentation to explore novel ML algorithms and techniques.
- Process and analyse large-scale datasets to extract valuable insights and prepare them for model training.
- Implement and optimise ML pipelines for scalability and efficiency.
- Collaborate with researchers to translate theoretical concepts into practical, deployable solutions.
- Evaluate model performance, identify areas for improvement, and implement necessary refinements.
- Stay current with the latest advancements in machine learning, deep learning, and AI research.
- Contribute to the development of internal tools and frameworks to accelerate research and development.
- Document research findings, model architectures, and experimental results.
AI Research Scientist - Machine Learning
Posted 1 day ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, and related AI fields.
- Design, develop, and implement novel machine learning algorithms and models for various applications.
- Experiment with different AI architectures, frameworks (e.g., TensorFlow, PyTorch), and datasets.
- Analyze and interpret complex data to extract meaningful insights and inform model development.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research findings into practical solutions.
- Stay abreast of the latest advancements in AI and machine learning through literature reviews and conference participation.
- Publish research findings in leading academic journals and present at international conferences.
- Develop and maintain high-quality, well-documented code for research prototypes and production systems.
- Evaluate and benchmark the performance of AI models, identifying areas for optimization.
- Contribute to the intellectual property development and patent applications.
- Mentor junior researchers and contribute to building a strong AI research community within the organization.
- Troubleshoot and resolve complex technical challenges related to AI model development and deployment.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of research and development in machine learning, demonstrated through publications, patents, or contributions to open-source projects.
- Strong theoretical and practical understanding of various ML algorithms (e.g., supervised, unsupervised, reinforcement learning, deep learning).
- Proficiency in programming languages such as Python, and experience with ML libraries/frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with big data technologies and distributed computing frameworks is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and as part of a collaborative research team.
- Experience in specific domains like natural language processing (NLP), computer vision, or time-series analysis is advantageous.