153 AI Researcher jobs in London

Our client is seeking a highly motivated and experienced Senior AI Ethics Researcher to join our cutting-edge research team. This is a fully remote position, offering the flexibility to work from anywhere in the UK. You will play a pivotal role in shaping the ethical development and deployment of artificial intelligence technologies.

Responsibilities:

• Conduct in-depth research into ethical considerations, biases, and societal impacts of AI systems.
• Develop frameworks, guidelines, and best practices for responsible AI development and governance.
• Collaborate with cross-functional teams, including AI engineers, data scientists, product managers, and legal experts, to integrate ethical principles into the AI lifecycle.
• Publish research findings in leading academic journals and present at international conferences.
• Advise on policy recommendations and engage with external stakeholders, including policymakers and industry leaders.
• Mentor junior researchers and contribute to building a strong ethical AI culture within the organization.
• Stay abreast of the latest advancements in AI, ethics, and related fields.
• Contribute to the strategic direction of our AI ethics initiatives.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Philosophy, Ethics, Law, or a related field with a strong focus on AI ethics.
• Proven track record of impactful research in AI ethics, algorithmic fairness, transparency, or accountability.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to articulate complex ethical concepts to diverse audiences.
• Experience with qualitative and quantitative research methodologies.
• Familiarity with machine learning concepts and AI technologies.
• Ability to work independently and collaboratively in a remote, fast-paced environment.
• Published work in reputable conferences or journals is highly desirable.

This is an exceptional opportunity to make a significant contribution to the responsible advancement of AI. If you are passionate about ethics and possess a deep understanding of artificial intelligence, we encourage you to apply for this exciting role based remotely from London, England, UK .

Our client is at the forefront of artificial intelligence innovation and is seeking a visionary Lead AI Ethics Researcher to join their distinguished team in London, England, UK . This pivotal role will shape the responsible development and deployment of AI technologies. You will lead research initiatives focused on identifying, analyzing, and mitigating ethical risks associated with AI systems, including bias, fairness, transparency, and accountability. Your responsibilities will include developing ethical frameworks, guidelines, and best practices for AI development and implementation across the organization. You will collaborate closely with AI researchers, engineers, product managers, and legal teams to ensure ethical considerations are integrated throughout the AI lifecycle. The ideal candidate will possess a PhD or Master's degree in Computer Science, Philosophy, Law, Social Sciences, or a related field with a strong focus on AI ethics. A minimum of 6 years of experience in AI research, policy, or ethics is required. Proven experience in leading research projects, publishing academic papers, and presenting findings to diverse audiences is essential. Strong analytical, critical thinking, and problem-solving skills are paramount. You should be adept at navigating complex ethical dilemmas and translating them into practical solutions. This hybrid role offers a dynamic work environment with opportunities for both in-office collaboration and remote flexibility. If you are passionate about ensuring AI is developed and used for the benefit of humanity and have a deep understanding of AI's societal implications, we encourage you to apply.

Our client, a pioneering firm at the forefront of AI development and deployment, is seeking a distinguished Lead AI Ethics Researcher to join their innovative team in London, England, UK . This pivotal role involves shaping the ethical framework and responsible development of artificial intelligence technologies. You will lead research initiatives, contribute to policy development, and collaborate with engineers and product managers to ensure AI systems are fair, transparent, and beneficial to society. This hybrid role offers the best of both worlds, combining collaborative on-site engagement with focused remote work periods. You will be instrumental in guiding the ethical considerations of advanced AI applications, from machine learning models to generative AI systems.

Responsibilities:

• Lead research into the ethical implications of AI, including bias, fairness, accountability, transparency, and safety.
• Develop and implement ethical guidelines, best practices, and frameworks for AI development and deployment.
• Collaborate with engineering and product teams to integrate ethical considerations into the AI lifecycle.
• Conduct ethical risk assessments and impact analyses for new AI systems and features.
• Stay abreast of global AI ethics regulations, standards, and academic research.
• Publish research findings, present at conferences, and contribute to the broader AI ethics community.
• Advise senior leadership on ethical challenges and opportunities related to AI.
• Develop training materials and conduct workshops on AI ethics for internal teams.
• Foster a culture of responsible innovation and ethical awareness within the organization.
• Engage with external stakeholders, including policymakers, academics, and industry peers, on AI ethics issues.

Qualifications:

• PhD or Master's degree in Computer Science, Philosophy, Law, Sociology, or a related field with a specialization in AI ethics.
• Significant research experience in AI ethics, machine learning fairness, or responsible AI.
• Deep understanding of AI/ML principles and their societal implications.
• Proven ability to lead research projects and influence product development.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to articulate complex ethical concepts.
• Experience in developing ethical frameworks or policies.
• Familiarity with relevant legal and regulatory landscapes concerning AI.
• Ability to work effectively in a hybrid team environment, collaborating with diverse technical and non-technical professionals.

This role represents a unique opportunity to shape the future of AI responsibly and ethically. Our client offers a highly competitive salary, attractive benefits, and a stimulating work environment in the heart of London.

**Job Requisition ID #**
25WD90902
**Position Overview**
The Computational Sciences group within Autodesk Research is seeking exceptionally talented and experienced Research Scientists to join our team. We are focused on advancing the state-of-the-art for design tools to allow architects, artists, designers, and engineers to "Make Anything". Our research centers around generative methods for the design, manufacturing and construction of objects in the built environment and spans physics-based modeling, simulation, design optimization and inverse problems. You will join a group shaping the future of physics informed AI and its applications in areas of interest to Autodesk. You will work closely with experts in geometric modeling, simulation, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction.
The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics-informed AI for use in design, simulation and engineering tools. We are interested in physics-based generative models, surrogate and reduced-order models, data assimilation and digital twins, physics-based reasoning and the interpretation of physical results using AI.
**Responsibilities**
+ Research and implement physics-informed AI algorithms, and demonstrate their applicability to areas of interest for Autodesk
+ Design and build physics-informed AI workflows and data pipelines, create and curate training data, develop and test models
+ Work closely with a multi-disciplinary team of research scientists and engineers to conceive, plan, develop, and implement scientific research projects
+ Supervise researchers, engineers and interns (undergraduate, graduate or post-doctoral)
+ Participate in research collaborations with external research institutes and universities
+ Publish papers in peer-reviewed scientific journals/conferences
+ ·Document and communicate the intent and the results of projects in clear terms to both technical and non-technical team audiences both internally and externally
+ Promote the use of research findings throughout Autodesk
+ Consult with product teams on the implementation of research into products
**Minimum Qualifications**
+ Advanced degree in Computer Science, Engineering, Physics or Applied Mathematics
+ Excellent knowledge of computational physics and numerical methods, e.g. for deriving and solving the large linear and non-linear systems that arise from discretizing differential equations
+ Knowledge of computational geometry, topology and geometric deep learning
+ Extensive experience with methods that combine modern machine learning and AI methods with computational physics algorithms.
+ Familiarity with best practices in data creation, data and workflow management as related to training AI models
+ Experience creating and training machine learning models at scale (e.g. using PyTorch, TensorFlow, Flax, etc)
+ Ability to articulate how physics-informed AI methods relate to more traditional numerical methods, surrogate models, reduced order models and simulation approaches in, for example, CFD or computational mechanics.
+ Python and C++. Familiarity with HPC techniques. Familiarity with collaborative development environments and version control systems
+ Excellent written and oral communication skills
+ Strong publication history in relevant conferences and journals
+ Ability to quickly learn new technologies and adapt to new situations
+ Ability to collaborate effectively with a diverse, multicultural, global team of scientists, engineers and architects
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

Our client is at the forefront of developing cutting-edge AI technologies and is seeking a distinguished Principal AI Ethics & Safety Researcher to join their pioneering team. This is a fully remote position, offering you the opportunity to shape the future of responsible AI development from anywhere. You will be instrumental in defining, researching, and implementing frameworks and methodologies to ensure that our AI systems are developed and deployed ethically, safely, and align with societal values. This role demands a deep theoretical understanding combined with practical application in areas such as bias detection and mitigation, fairness in AI, explainability, privacy preservation, and robust safety protocols for autonomous systems. You will lead independent research projects, publish findings in top-tier venues, and collaborate closely with cross-functional teams, including engineers, product managers, and legal experts, to translate research into actionable guidelines and product features. The ideal candidate will possess strong analytical and critical thinking skills, with the ability to communicate complex technical concepts to both technical and non-technical audiences.

Key Responsibilities:

• Conduct groundbreaking research into AI ethics, safety, fairness, and accountability.
• Develop novel methods and tools for identifying, measuring, and mitigating ethical risks in AI systems.
• Define and advocate for best practices in responsible AI development and deployment.
• Publish research findings in leading academic conferences and journals.
• Collaborate with engineering teams to integrate ethical and safety considerations into the AI development lifecycle.
• Provide expert guidance on AI policy, regulatory compliance, and societal impact.
• Mentor junior researchers and contribute to the growth of the AI ethics and safety community.
• Engage with external stakeholders, including policymakers, academics, and industry peers.
• Develop and deliver training on AI ethics and safety principles.
• Contribute to the strategic direction of AI ethics and safety research within the organisation.

Qualifications:

• PhD in Computer Science, Artificial Intelligence, Philosophy, Law, or a related field with a strong focus on AI ethics and safety.
• Significant research experience (e.g., 7+ years post-PhD) in AI ethics, machine learning safety, fairness, accountability, and transparency (FAccT).
• Proven track record of high-impact publications in relevant fields.
• Deep understanding of current AI techniques and their potential ethical and societal implications.
• Experience in developing practical tools and frameworks for responsible AI.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to convey complex ideas clearly.
• Experience leading research projects and mentoring teams.
• Familiarity with relevant legal and regulatory landscapes concerning AI.
• Ability to work independently and collaboratively in a distributed team environment.

This is a fully remote position, perfect for a leading researcher passionate about ensuring AI benefits humanity. If you are driven by innovation and committed to ethical AI, we invite you to apply.

About the Role

We are building the Voice AI for skilled service businesses — an AI-powered voice assistant helping beauty, wellness, and home service entrepreneurs run and grow their operations. This is a part-time contract position (20-25 hours/week) available across major metropolitan areas in the UK.

Key Responsibilities

• Conduct on-site visits and observations of target merchants (salons, spas, barbershops, tailors, nail techs, etc.).
• Utilize decision trees to identify key operational areas (Revenue, Marketing, Bookings, Inventory, Personalization).
• Document workflows, customer interactions, and tool usage patterns.
• Test AI assistant interactions across different operational areas.
• Recruit 5-10 pilot merchants monthly for live trials.
• Collaborate with Community Ambassadors on research and onboarding alignment.

Important Skills

• UX Research
• Ethnographic Research
• Field Research
• Service Design
• Merchant Relations

Job Benefits

• Flexible work schedule (20-25 hours/week)
• Competitive hourly rate
• Performance-based pilot ROI bonuses
• Potential for full-time conversion based on KPI achievement
• Opportunity to work with cutting-edge AI technology
• Direct impact on product development and merchant success

Contract

Part-Time Contractor (3 Months)

**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of leading impact oriented analytics teams.
14. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
15. Experience working in technology, consulting, or finance.
**Industry:** Internet

Join to apply for the

Data Science Engineer

role at

TieTalent

OverviewnWe are seeking a skilled Data Science Engineer with a strong background in data science and experience in developing AI solutions. While a background in life sciences or clinical knowledge is preferred, it is not mandatory. This is an exciting opportunity to work on cutting-edge projects, leveraging your expertise in LLMs (Large Language Models) and AI technologies.

Responsibilities

Develop and implement AI-driven solutions for complex data science challenges.

Work with Large Language Models (LLMs) to create and optimize intelligent systems.

Collaborate with cross-functional teams to ensure solutions meet project requirements.

Contribute to projects in the pharma/life sciences domain (if applicable).

Qualifications

Minimum 5 years of experience in AI solution development.

Hands-on experience with Large Language Models (LLMs).

Proven track record as a Data Science Developer/Engineer

Senioriy level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Internet

EEO statement and other relevant legal disclosures are retained as applicable.

#J-18808-Ljbffrn

Overview

Director, Open Intelligence

role at

WPP Media .nAt WPP Media, we believe in the power of our culture and our people. This role leads a team to develop and deploy data and analytics solutions for a leading client across markets and the portfolio of brands. The individual should have a strong understanding of tools in the media measurement, media analytics, experimentation and research and will become familiar with internal modeling and technology products to partner with data strategy and deployment teams for implementing at scale.nRole Summary And Impact

The Director, Open Intelligence leads a team to develop & deploy data and analytics solutions for a leading client across markets, the portfolio of brands. This individual should have a strong understanding of tools in the media measurement, media analytics, experimentation and research and will become familiar with internal modeling and technology products to partner with data strategy and deployment teams for implementing at scale. The Director is responsible for ensuring thought leadership and for guiding the direction and development of the department. The individual would be responsible for managing the delivery commitments for the client for data warehousing, manipulation and audience analytics and AI based solutions for audience insights and targeting.nResponsibilities

Establish an overall approach to data organization and analytical solutions inclusive of data architecture, managing taxonomies, warehousing tech and AI capabilities.nTranslate strategic goals into technical projects.nOversee the design, management, and application of Choreograph and third-party solutions for data assimilation, enrichment and analytics for delivering data sets and insights for strategic planning & activation.nAdvanced knowledge of data governance practices including data QA, general media naming taxonomy, data & platform integration, etc.nRobust knowledge of data management solutions in the markets.nStrong math or statistics background, specifically strong grasp of descriptive and probabilistic theories, sampling.nStrong understanding and experience in application of AI methodologies for data manipulation and insighting.nUnderstanding how different media platforms can target their audiences, what are their limitations and nuances.nUnderstanding media effectiveness landscape, its limitations and challenges.nAdvanced excel or python skills to be able to work with huge data sets.nSQL, experience with GCP, Snowflake, infosum and other databases to extract the data and build data pipeline.nExperience with Power BI or other data visualization tools especially geo coded data is a big plus.nBayesian statistics, propensity modelling also a big plus.nWrite POVs on industry topics and provide thought leadership on data privacy laws, third-party measurement tools, and space, the consumer marketplace, vertical expertise, etc.nLead departmental projects and workflows including research & development, product roadmaps, interpersonal and coaching builds, etc.nAdvanced knowledge of full-funnel strategy, with a focus on eCommerce and in-store driving tactics; synergy between brand and demand media.nSupport new business pitches where needed.nDevelop and maintain all client relationships inclusive of being the main connection between senior organizational analytics and digital leads as well as C-level management.nTeam development and management skills.nBachelors or advanced degree in Statistics, Economics, Business, Math, or Sciences is preferred.nExperience managing a mid-to-large size team.nStrong analytic and problem-solving skills.nExperience in design and execution of data storage and analysis solutions.nExperience in building advanced AI solutions for audience analytics and insights.nLife At WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.nWPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.nWe believe the best work happens when we’re together, fostering creativity, collaboration, and connection. That’s why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.nPlease note this is a UK based role and requires individuals to have the right to work in this locationnPlease read our Privacy Notice for more information on how we process the information you provide.

#J-18808-Ljbffrn