2,406 AI Ethics jobs in the United Kingdom
Senior Machine Learning Engineer - AI Ethics & Governance
Posted 20 days ago
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Job Description
Responsibilities:
- Design, develop, and implement machine learning models with a strong emphasis on ethical AI principles.
- Develop and apply methodologies for detecting and mitigating bias in AI algorithms and datasets.
- Create and implement frameworks for AI fairness, transparency, and explainability (XAI).
- Collaborate with cross-functional teams (data scientists, engineers, legal, policy) to define and enforce AI governance policies.
- Research and stay updated on the latest advancements in AI ethics, responsible AI, and relevant regulatory landscapes.
- Build tools and systems to monitor AI model behavior for ethical compliance and performance drift.
- Contribute to the documentation of AI models, ethical considerations, and governance procedures.
- Educate and advise development teams on best practices for responsible AI development.
- Participate in the evaluation of third-party AI solutions for ethical risks.
- Present findings and recommendations to stakeholders at various levels of the organization.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field with a focus on ethics or governance.
- Minimum of 5 years of experience in machine learning engineering or related data science roles.
- Demonstrated experience in developing and deploying ML models in production environments.
- Strong understanding of AI ethics principles, including fairness, accountability, transparency, and privacy.
- Experience with techniques for bias detection and mitigation, explainable AI (XAI), and privacy-preserving ML.
- Proficiency in programming languages such as Python and associated ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and manage complex projects in a remote setting.
Senior Machine Learning Engineer (AI Ethics)
Posted 11 days ago
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Job Description
Senior Machine Learning Engineer - AI Ethics
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and deploy machine learning models with a primary focus on ethical AI principles (fairness, accountability, transparency).
- Develop and implement techniques for detecting and mitigating bias in ML algorithms and datasets.
- Build systems to ensure the explainability and interpretability of complex ML models.
- Collaborate with data scientists, engineers, and policy experts to define and implement AI ethics frameworks and guidelines.
- Contribute to the development of responsible AI tooling and best practices within the organization.
- Conduct research into emerging ethical AI challenges and propose innovative solutions.
- Work with product teams to integrate ethical considerations into the ML development lifecycle.
- Monitor deployed ML systems for ethical compliance and performance drift.
- Stay up-to-date with the latest research and industry trends in AI ethics and responsible AI.
- Communicate complex technical concepts related to AI ethics to both technical and non-technical audiences.
- Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field, with a focus on AI ethics or fairness.
- Minimum of 6 years of experience in machine learning engineering or data science.
- Demonstrated experience in building and deploying ML models, with a specific focus on fairness, bias detection, and explainability techniques (e.g., LIME, SHAP).
- Strong understanding of ethical AI principles and their practical application.
- Proficiency in Python and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience with data analysis and manipulation.
- Familiarity with MLOps principles and practices is desirable.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a hybrid environment.
- Experience in developing responsible AI policies or guidelines is a plus.
Senior Machine Learning Engineer, AI Ethics & Safety
Posted 1 day ago
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Job Description
Responsibilities:
- Conduct in-depth research into AI fairness, accountability, transparency, and ethics.
- Develop and implement novel algorithms and methodologies for bias detection and mitigation in large-scale machine learning models.
- Design and deploy robust evaluation frameworks for assessing AI model safety and ethical compliance.
- Collaborate closely with cross-functional teams including AI researchers, software engineers, product managers, and legal experts to integrate ethical considerations throughout the AI development lifecycle.
- Stay abreast of the latest advancements in AI ethics, machine learning, and relevant regulatory landscapes.
- Mentor junior engineers and contribute to the team's knowledge sharing and best practices.
- Document research findings, methodologies, and best practices for internal and external dissemination.
- Contribute to the development of internal tools and platforms that support ethical AI development.
- Present findings and proposals to stakeholders at various levels of the organization.
- PhD or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in machine learning development, with a strong focus on AI ethics, fairness, or safety.
- Proficiency in Python and major ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Demonstrated experience with large datasets and distributed computing (e.g., Spark).
- Strong understanding of statistical modeling, data analysis, and evaluation metrics.
- Excellent problem-solving skills and the ability to think critically about complex ethical dilemmas in AI.
- Exceptional communication and collaboration skills, with the ability to explain technical concepts to non-technical audiences.
- Experience with MLOps and model deployment is a plus.
- A genuine passion for building AI that benefits society.
AI Ethics & Governance Specialist
Posted today
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Job Description
Key Responsibilities:
- Develop and implement comprehensive AI ethics and governance frameworks, policies, and procedures.
- Conduct ethical risk assessments for AI products and services throughout their lifecycle.
- Advise product development teams on ethical considerations, bias mitigation, transparency, and accountability in AI systems.
- Monitor the evolving landscape of AI regulations and industry best practices, ensuring company compliance.
- Facilitate discussions and training sessions on AI ethics for internal stakeholders.
- Collaborate with legal and compliance teams to address potential ethical and regulatory challenges.
- Develop mechanisms for transparent AI decision-making and auditability.
- Engage with external stakeholders, including academics, policymakers, and civil society organizations, on AI ethics issues.
- Contribute to the responsible innovation process by integrating ethical considerations from inception.
- Develop reporting mechanisms to track and communicate progress on AI ethics initiatives.
- Stay abreast of cutting-edge research and developments in AI fairness, accountability, and transparency (FAT).
- Master's or PhD in a relevant field such as Ethics, Philosophy, Law, Computer Science, Public Policy, or Sociology, with a specialization in AI ethics or governance.
- 3-5 years of experience working with AI ethics, responsible AI, or technology governance.
- Strong understanding of AI technologies, machine learning concepts, and their societal implications.
- Familiarity with relevant ethical frameworks, principles, and emerging regulatory landscapes (e.g., EU AI Act).
- Excellent analytical, research, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex ethical concepts to technical and non-technical audiences.
- Experience in policy development, risk assessment, or compliance in a technology context.
- Ability to work collaboratively in a fast-paced, multidisciplinary environment.
- Proactive and independent work style, with a passion for driving ethical technology adoption.
AI Ethics & Governance Specialist
Posted today
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Job Description
Key responsibilities include:
- Developing and implementing comprehensive AI ethics guidelines and governance frameworks.
- Conducting ethical risk assessments for new AI projects and applications.
- Ensuring compliance with relevant regulations and standards related to AI and data privacy.
- Advising on bias detection and mitigation strategies in AI models.
- Promoting transparency and explainability in AI systems.
- Developing training programs on AI ethics for internal teams.
- Monitoring the ethical impact of deployed AI systems and recommending corrective actions.
- Collaborating with external stakeholders, including regulators and academic institutions.
- Staying abreast of evolving AI ethics research, regulations, and public discourse.
- Facilitating ethical review boards and discussions on complex AI dilemmas.
The ideal candidate will hold a Master's degree or PhD in a relevant field such as AI Ethics, Philosophy, Law, Computer Science with an ethics specialisation, or a related discipline. A minimum of 5 years of experience in AI ethics, responsible AI development, or related governance roles is required. Proven experience in developing and implementing ethical frameworks and policies, particularly within a technology context, is essential. Strong understanding of machine learning concepts, AI technologies, and their societal implications is a must. Excellent analytical, communication, and interpersonal skills are required to effectively engage with diverse stakeholders. This role is based in Sheffield, South Yorkshire, UK , and requires the successful candidate to be present in the office.
AI Ethics & Governance Specialist
Posted 2 days ago
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Job Description
You will be responsible for developing and implementing ethical guidelines, governance frameworks, and compliance protocols for our AI systems. The ideal candidate will possess a strong understanding of AI technologies, ethical principles, and regulatory landscapes, coupled with excellent analytical and communication skills.
Key Responsibilities:
- Develop and implement comprehensive AI ethics policies, principles, and governance frameworks.
- Conduct ethical risk assessments and impact analyses for new and existing AI systems.
- Advise product development teams on ethical considerations throughout the AI lifecycle.
- Ensure AI systems comply with relevant laws, regulations, and industry standards (e.g., GDPR, AI Act).
- Develop training materials and conduct workshops on AI ethics and responsible AI practices for employees.
- Monitor the ethical implications of AI technologies and advise on mitigation strategies.
- Collaborate with legal, compliance, data science, and engineering teams to embed ethical practices.
- Engage with external stakeholders, policymakers, and industry bodies on AI ethics and governance.
- Stay abreast of emerging trends, research, and best practices in AI ethics and responsible innovation.
- Contribute to the development of AI transparency and explainability initiatives.
- Manage and maintain documentation related to AI governance and ethical compliance.
- Advanced degree (Master's or PhD) in a relevant field such as Computer Science, Law, Philosophy, Public Policy, or Ethics, with a specialization in AI or technology ethics.
- Minimum of 5 years of experience in AI ethics, responsible AI, technology governance, or related fields.
- Strong understanding of AI/ML concepts, data privacy, and algorithmic bias.
- Knowledge of relevant legal and regulatory frameworks impacting AI development and deployment.
- Excellent analytical, research, and problem-solving skills.
- Superb communication and presentation skills, with the ability to articulate complex ethical and technical issues to diverse audiences.
- Experience in developing and implementing governance frameworks or compliance programs.
- Ability to work effectively in a hybrid work environment, balancing remote and in-office responsibilities.
- Proven ability to influence and collaborate across different departments and levels within an organization.
- Familiarity with ethical AI tools and methodologies is a plus.
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AI Ethics & Governance Lead
Posted 2 days ago
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AI Ethics & Governance Lead
Posted 2 days ago
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Job Description
As the AI Ethics & Governance Lead, you will be instrumental in developing, implementing, and overseeing policies, guidelines, and procedures for ethical AI development and deployment across the organisation. This includes conducting ethical risk assessments for AI projects, defining fairness, accountability, and transparency standards, and developing mechanisms for ongoing monitoring and auditing of AI systems. You will collaborate closely with engineering, product management, legal, and policy teams to embed ethical considerations into the entire AI lifecycle.
Key responsibilities will involve researching emerging ethical challenges and regulatory landscapes in AI, advising on mitigation strategies, and promoting a culture of ethical awareness and responsibility within the company. You will create training materials and deliver workshops to educate employees on AI ethics principles. The role also involves engaging with external stakeholders, including researchers, policymakers, and industry consortia, to contribute to the broader discourse on AI governance.
This position requires a deep understanding of AI technologies, ethical frameworks, and the societal implications of advanced technologies. You should be adept at navigating complex, often ambiguous, ethical dilemmas and translating them into practical, actionable strategies. The ability to influence stakeholders at all levels and drive change in a distributed, fast-paced environment is crucial.
Qualifications:
- Advanced degree (Master's or PhD) in Computer Science, Philosophy, Law, Public Policy, or a related field with a strong focus on AI ethics, technology governance, or responsible innovation.
- Proven experience in developing and implementing ethical frameworks, policies, or guidelines for technology, preferably AI/ML.
- In-depth knowledge of AI/ML concepts, capabilities, and limitations.
- Familiarity with global AI regulations and standards (e.g., EU AI Act, NIST AI Risk Management Framework).
- Exceptional analytical, critical thinking, and problem-solving skills.
- Outstanding communication, presentation, and interpersonal skills, with the ability to engage diverse audiences.
- Experience in stakeholder engagement and building consensus.
- Demonstrated ability to work independently and lead initiatives in a remote setting.
This is a unique opportunity to shape the future of ethical AI from the ground up, working entirely remotely and impacting the responsible development of transformative technologies.
AI Ethics & Governance Lead
Posted 3 days ago
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Job Description
Your responsibilities will include developing robust ethical guidelines, conducting AI impact assessments, and ensuring compliance with emerging AI regulations and standards. You will collaborate closely with AI researchers, data scientists, product managers, and legal teams to embed ethical considerations throughout the AI lifecycle. This role requires a deep understanding of AI principles, potential societal impacts, and best practices in AI governance. You will be responsible for identifying potential biases, risks, and unintended consequences associated with AI systems and proposing mitigation strategies. The ideal candidate will lead internal training initiatives on AI ethics and foster a culture of responsible innovation. You will stay current with global trends in AI ethics and policy, translating complex concepts into actionable strategies for the organization. This position involves significant stakeholder engagement, both internally and externally, to promote transparency and accountability in AI.
The ideal candidate will possess a Master's degree or PhD in a relevant field such as Computer Science, Philosophy, Law, Public Policy, or a related discipline, with a strong focus on AI ethics or governance. Proven experience (5+ years) in developing and implementing AI ethics frameworks, conducting risk assessments, or advising on AI governance is essential. A comprehensive understanding of machine learning concepts, data privacy regulations (e.g., GDPR), and relevant AI ethical principles is required. Excellent analytical, critical thinking, and communication skills are paramount, along with the ability to navigate complex ethical dilemmas and influence decision-making at senior levels. Experience in policy development, risk management, or compliance within the technology sector is highly advantageous. This is a unique opportunity to play a key role in guiding the responsible future of AI in a forward-thinking company. You will contribute to shaping critical societal dialogues through your work.
The field of AI Ethics is experiencing substantial growth, reflecting the increasing awareness of the societal implications of artificial intelligence. Professionals in this domain work to develop frameworks and guidelines that address ethical concerns related to AI, covering areas like bias, fairness, transparency, and accountability. The demand for AI ethicists is rising across various sectors, including technology, healthcare, finance, and government, as organizations seek to implement AI responsibly.