1,321 Healthcare AI jobs in the United Kingdom
Healthcare Specialist - AI Trainer
Posted today
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In this role you will need to be an expert in healthcare. We are interested in a wide range of expertise, so relevant backgrounds include:
* *Physicians & Advanced Practice Clinicians: *Physicians of all specialties (e.g., Internists, Cardiologists, Oncologists), Physician Assistants, Nurse Practitioners, Certified Nurse-Midwives, Certified Registered Nurse Anesthetists, Clinical Nurse Specialists, Registered Nurses.
* *Therapists: *Physical Therapists, Occupational Therapists, Speech-Language Pathologists, Respiratory Therapists, Athletic Trainers, Massage/Recreational Therapists.
* *Diagnostic & Laboratory Professionals:* Radiologic Technologists, Sonographers, MRI & Nuclear Medicine Technologists, Medical Laboratory Scientists, Phlebotomists, Histology & Genetics Technicians.
* *Public Health & Specialized Roles:* Dietitians/Nutritionists, Genetic Counselors, Epidemiologists, Public Health Nurses.
Benefits:
* This is a full-time or part-time REMOTE position
* You’ll be able to choose which projects you want to work on
* You can work on your own schedule
* Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work
Responsibilities:
* Give AI chatbots diverse and complex healthcare related problems and evaluate their outputs
* Evaluate the quality produced by AI models for correctness and performance
* Ensure the medical accuracy of model performance
Qualifications:
* Fluency in English (native or bilingual level)
* A current or in progress medical degree
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD.
#INDUKMED
Job Types: Full-time, Part-time
Pay: From £29.46 per hour
Work Location: Remote
Graduate Software Engineer - AI Development
Posted 2 days ago
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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 2 days ago
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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.
Lead Technical Project Manager - AI Development
Posted today
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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 .
Lead AI Ethicist - Responsible AI Development
Posted 3 days ago
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Responsibilities:
- Develop and implement comprehensive AI ethics frameworks, policies, and guidelines for the organisation.
- Advise product development teams on ethical considerations throughout the AI lifecycle, from data collection and model training to deployment and monitoring.
- Conduct ethical risk assessments and impact analyses for new and existing AI systems.
- Identify and propose mitigation strategies for issues related to bias, fairness, privacy, transparency, and accountability in AI.
- Stay abreast of global regulations, standards, and best practices in AI ethics and governance.
- Collaborate with legal, policy, engineering, and product teams to integrate ethical principles into AI development processes.
- Develop and deliver training programs on AI ethics for employees across the organisation.
- Engage with external stakeholders, including academic institutions, regulators, and industry bodies, on AI ethics matters.
- Contribute to the public discourse on responsible AI and represent the company's commitment to ethical practices.
- Promote a culture of ethical awareness and responsibility within the AI development community.
- Research emerging ethical challenges posed by new AI capabilities and advise on proactive measures.
- Ensure that AI systems are designed and used in a manner that respects human rights and societal values.
Qualifications:
- Advanced degree (Master's or Ph.D.) in Ethics, Philosophy, Law, Computer Science (with an ethics focus), Public Policy, Sociology, or a related field.
- Minimum of 6 years of experience working on AI ethics, responsible innovation, or related fields.
- Deep understanding of AI technologies, machine learning concepts, and their potential societal implications.
- Knowledge of ethical theories, principles of fairness, accountability, and transparency (FAT), and data privacy regulations (e.g., GDPR).
- Experience in developing ethical frameworks, conducting risk assessments, or implementing governance structures for technology.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication, presentation, and interpersonal skills, with the ability to engage diverse audiences.
- Ability to translate complex ethical concepts into practical, actionable guidance for technical teams.
- Experience working in a technology-driven environment is advantageous.
- Demonstrated passion for ethical technology and a commitment to social responsibility.
This is a crucial and impactful role for an individual passionate about ensuring AI benefits humanity. You will have the opportunity to influence ethical practices at a company level and contribute to the development of AI that is both innovative and trustworthy.
Lead AI Ethicist - Responsible AI Development
Posted 3 days ago
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As the Lead AI Ethicist, you will be responsible for establishing and implementing robust ethical guidelines, conducting impact assessments, and fostering a culture of ethical awareness across all AI development teams. You will work closely with engineers, data scientists, product managers, and legal counsel to integrate ethical considerations into the entire AI lifecycle, from conception to deployment.
Key Responsibilities:
- Develop, refine, and enforce comprehensive ethical principles and guidelines for AI development and deployment.
- Conduct in-depth ethical risk assessments and bias audits for new and existing AI models and applications.
- Collaborate with cross-functional teams to integrate ethical considerations into design, development, testing, and operational processes.
- Provide expert guidance and training on AI ethics, fairness, accountability, and transparency to internal stakeholders.
- Stay current with evolving global regulations, industry best practices, and societal expectations regarding AI ethics.
- Research and propose innovative solutions to address complex ethical challenges in AI, such as algorithmic bias, privacy concerns, and societal impact.
- Engage with external stakeholders, including policymakers, academics, and civil society organizations, to contribute to the broader discourse on AI ethics.
- Develop and implement mechanisms for monitoring and evaluating the ethical performance of deployed AI systems.
- Champion a proactive and preventative approach to ethical AI development across the organization.
- Advanced degree (Master's or Ph.D.) in Philosophy, Ethics, Law, Computer Science, Social Sciences, or a related field with a specialization in AI ethics or technology ethics.
- Demonstrated experience in developing and implementing ethical frameworks, policies, or standards, preferably in the tech industry or with AI-related projects.
- Strong understanding of AI technologies, machine learning principles, and their potential ethical implications.
- Expertise in areas such as algorithmic bias, fairness metrics, explainable AI (XAI), data privacy, and AI governance.
- Exceptional analytical, critical thinking, and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to influence and engage diverse audiences.
- Proven ability to lead initiatives and drive consensus in complex, multi-stakeholder environments.
- A deep commitment to advancing responsible and beneficial AI for all.
Senior AI Ethics Researcher - Responsible AI Development
Posted 1 day ago
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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.
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Senior Research Scientist - AI in Healthcare
Posted today
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As a Senior Research Scientist, you will lead research initiatives, design and implement complex algorithms, and develop robust AI models to address critical challenges in medical imaging analysis, predictive diagnostics, and personalised medicine. You will be instrumental in translating theoretical concepts into practical, deployable solutions, collaborating closely with a distributed team of scientists, engineers, and clinical experts. Your responsibilities will include literature reviews, experimental design, data acquisition and preprocessing, model training and validation, and contributing to peer-reviewed publications and patent applications. You will also mentor junior researchers, guide project strategy, and present findings to internal teams and external stakeholders.
We are looking for candidates with a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, or a closely related quantitative field, coupled with a minimum of 5 years of relevant research experience. A proven track record of developing and deploying AI/ML models, particularly in a healthcare or life sciences context, is essential. Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), statistical modelling, and data analysis techniques is required. Strong programming skills in Python and experience with scientific computing libraries are mandatory. Exceptional analytical, problem-solving, and communication skills are crucial for success in this fully remote position, enabling effective collaboration across diverse, geographically dispersed teams. Experience with cloud computing platforms (AWS, Azure, GCP) and medical imaging standards (DICOM) is highly desirable. This is a unique chance to make a significant impact on global health outcomes while enjoying the flexibility of remote work.
Principal Research Scientist - AI in Healthcare
Posted 2 days ago
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Key Responsibilities:
- Lead the design and execution of research projects focused on AI-driven healthcare solutions, including medical imaging analysis, predictive diagnostics, drug discovery, and personalised medicine.
- Develop and implement advanced machine learning and deep learning models to analyse large and complex healthcare datasets.
- Evaluate and validate AI models for clinical relevance and performance, ensuring accuracy and reliability.
- Publish research findings in top-tier scientific journals and present at international conferences.
- Mentor and guide junior research scientists and collaborate effectively with cross-functional teams.
- Identify and pursue new research opportunities and funding sources.
- Stay abreast of the latest advancements in AI, machine learning, and healthcare technologies.
- Contribute to the intellectual property strategy of the organisation.
- Ensure compliance with ethical guidelines and regulatory requirements in healthcare research.
The ideal candidate will hold a PhD in Computer Science, Biomedical Engineering, Data Science, or a closely related field, with a minimum of 8 years of post-doctoral research experience in AI/ML, preferably with a focus on healthcare applications. Proven expertise in developing and deploying deep learning frameworks (e.g., TensorFlow, PyTorch) and a strong understanding of statistical methods and experimental design are essential. Excellent scientific writing and presentation skills are required, along with a track record of publications in reputable venues. Experience with medical imaging modalities (e.g., MRI, CT, X-ray) and electronic health records (EHRs) is highly desirable. This role is based in our Coventry facility, requiring a commitment to on-site research and collaboration.
Principal Research Scientist - AI in Healthcare
Posted 2 days ago
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Key Responsibilities:
- Lead cutting-edge research projects in AI for healthcare applications, from conception to validation.
- Develop and implement advanced machine learning and deep learning models for areas such as medical imaging analysis, genomics, drug discovery, and clinical trial optimisation.
- Mentor and guide a team of junior researchers and data scientists, fostering a collaborative and innovative research environment.
- Author high-quality research papers for submission to leading peer-reviewed journals and conferences.
- Contribute to the development of intellectual property, including patent filings.
- Collaborate with cross-functional teams, including clinicians, bioinformaticians, and software engineers, to translate research findings into practical solutions.
- Stay abreast of the latest advancements in AI, machine learning, and healthcare research globally.
- Present research findings to internal stakeholders, scientific communities, and potential partners.
- Manage research budgets and project timelines effectively.
- Contribute to grant writing and proposal development.
- Ensure compliance with ethical guidelines and data privacy regulations in research.
- Ph.D. in Computer Science, Artificial Intelligence, Bioinformatics, Statistics, or a closely related quantitative field.
- Minimum of 8 years of post-doctoral research experience in AI/Machine Learning, with a significant focus on healthcare or biomedical applications.
- Demonstrated expertise in developing and deploying complex ML/DL models (e.g., CNNs, RNNs, Transformers) using frameworks like TensorFlow, PyTorch, or Keras.
- Strong publication record in top-tier AI and/or healthcare conferences and journals.
- Proven experience in leading research teams and managing complex research projects.
- Expertise in data analysis, statistical modelling, and programming in languages such as Python or R.
- Familiarity with healthcare data types (e.g., EMR, genomics, imaging) and associated challenges.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and interpersonal skills, with the ability to articulate complex scientific concepts clearly.
- Experience with cloud computing platforms (e.g., AWS, Azure, GCP) is desirable.
- Understanding of regulatory pathways for AI in healthcare is a plus.