559 AI Development jobs in the United Kingdom
AI Specialist
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- Develop data pipeline to process and analyse large amounts of information and prepare training datasets
- Build predictive models and machine-learning algorithms, discover trends and patterns
- Develop and implement generative AI models to address real-world challenges across various domains, including natural language processing, image, video and voice generation
- Conduct research on emerging generative AI techniques and algorithms
- Collaborate with cross-functional teams to design and deploy AI solutions
- Experience in ML modeling techniques, supervised/unsupervised learning, deep learning frameworks, and generative AI, and NLP
- Experience with prompt engineering, prompt optimization, and multimodal generative AI
- Strong programming skills in Python and Unix/PowerShell scripting
- Experience with cloud computing platforms AI technologies such as AWS, GCP or Azure
- Experience in using LLMs such as Hugging Face ML models, GPT, Claude, etc
- Stay updated with the latest advancements in AI Technologies
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AI Development Apprentice
Posted today
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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 4 days ago
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Job Description
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
Posted today
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Job Description
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
Posted today
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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
Posted today
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Senior Program Manager - AI Development Initiatives
Posted 1 day ago
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Job Description
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.
AI Research Scientist (Deep Learning)
Posted today
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Job Description
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.
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Lead AI/ML Engineer (Deep Learning)
Posted today
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The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with extensive experience in building and deploying production-level AI systems. Proficiency in programming languages such as Python, along with libraries like TensorFlow, PyTorch, and scikit-learn, is essential. Experience with cloud platforms (AWS, Azure, GCP) for ML model training and deployment is highly desirable. You should have a proven track record in leading ML projects from conception through to successful implementation, including experience with MLOps practices. Excellent communication skills are necessary to articulate complex technical concepts to both technical and non-technical stakeholders.
This role involves not only technical leadership but also strategic planning, contributing to the company's AI roadmap and identifying new opportunities for AI integration. You will be responsible for mentoring junior team members, fostering a collaborative and innovative research environment, and staying at the forefront of AI/ML advancements. As part of a forward-thinking organization, you will work on challenging projects that push the boundaries of what's possible with AI. The flexibility of remote work allows access to a wider talent pool and promotes a healthy work-life balance.
Key Responsibilities:
- Lead the design, development, and deployment of AI/ML models.
- Mentor and manage a team of AI/ML engineers and data scientists.
- Develop and implement strategies for AI/ML model training and evaluation.
- Collaborate with cross-functional teams to identify and solve business problems using AI.
- Stay current with the latest research and advancements in AI and machine learning.
- Oversee MLOps practices for efficient model deployment and lifecycle management.
- Contribute to the company's AI strategy and roadmap.
- Present findings and project progress to senior leadership.
Senior AI Research Scientist - Deep Learning
Posted today
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Senior AI Research Scientist - Deep Learning
Posted today
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Job Description
Your responsibilities will include conducting in-depth literature reviews, formulating hypotheses, designing and executing experiments, and analyzing results to drive the development of robust AI solutions. You will work collaboratively with a team of world-class researchers and engineers, contributing to groundbreaking projects that push the boundaries of AI.
The ideal candidate will possess a PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a proven track record of publications in top-tier conferences and journals. You must have at least 5 years of hands-on experience in developing and deploying deep learning models, proficiency in Python and relevant libraries (TensorFlow, PyTorch, Keras), and a strong understanding of data science principles. Excellent communication and problem-solving skills are essential, as is the ability to work independently and effectively in a remote team environment. Experience with cloud platforms like AWS, Azure, or GCP, and a passion for continuous learning and innovation are highly desirable.
Key aspects of the role include:
- Leading the research and development of advanced AI algorithms.
- Building and optimizing complex neural network models.
- Collaborating with cross-functional teams on AI strategy.
- Mentoring junior researchers and engineers.
- Staying abreast of the latest advancements in AI and machine learning.