51 Research Scientist jobs in London

**Summary:**
Meta is seeking Research Scientists specialized to join the Foundational Agent team of Superintelligence Labs organization. The team is responsible among other projects for Research and is composed of high talent density with the lead of Llama-2.We are currently seeking researchers with experience to join our Paris site and work with us on extending frontier agentic models through Reinforcement Learning. You will have the opportunity to work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, important resources, and research facilities.
**Required Skills:**
Research Scientist (PhD) Responsibilities:
1. Conduct research that extends foundation models through model fine-tuning
2. Work towards long-term ambitious research goals, while identifying intermediate milestones
3. Influence progress of relevant research communities by producing publications
4. Contribute research that can be applied to Meta product development
5. Lead and collaborate on research projects within a globally based team
**Minimum Qualifications:**
Minimum Qualifications:
6. Currently has or is in the process of obtaining a PhD in the field of Computer Science, Mathematics, or similar quantitative field
7. First-author publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR)
8. Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
9. Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, .)
10. Communicate complex research for public audiences of peers
11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
12. High-impact publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR), as witnessed by citations and other signs of influencing the research community
13. Experience in AI research beyond completing a PhD
14. Experience in developing and debugging beyond ML experimentation
15. Experience in working in an industry research environment
16. Experience in coordinating the research of PhD students or other researchers
17. Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
18. Experience working and communicating cross functionally in a team environment
**Industry:** Internet

**Summary:**
Meta is seeking Research Scientists, at all experience levels, to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Individuals in this role are expected to be world-leading experts in research areas such as ML theory, responsible AI, reinforcement learning, computer vision, audio, and/or NLP. To learn more about our research, visit Skills:**
Research Scientist - FAIR Responsibilities:
1. Perform research to advance the science and technology of intelligent machines
2. Perform research that enables learning the semantics of data (images, video, text, audio, codegen, and other modalities)
3. Work towards long-term ambitious research goals, while identifying immediate milestones
4. Influence progress of relevant research communities by producing publications
5. Open source high quality code and produce reproducible research
**Minimum Qualifications:**
Minimum Qualifications:
6. Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
7. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas
8. Research publications reflecting experience in theoretical or empirical research
9. Experience in developing and debugging in Python or similar programming languages
10. Experience in analyzing and collecting data from various sources
11. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
12. Experience collaborating in a team environment on research projects
13. Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
14. First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ACL, EMNLP, ICLR, FacCT, CCS, IEEE S&P, and other similar venues
15. Experience communicating research for public audiences of peers.
16. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
**Industry:** Internet

**Summary:**
Meta is seeking a Research Scientist to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in Developmental AI (DevAI). Current machine learning algorithms can match human performance in a variety of tasks but require orders of magnitude more data. DevAI aims at building AI agents that learn autonomously from few amounts of real world data and interactions as children do. This covers the design of algorithms that leverage advanced machine learning techniques to improve robustness and sample efficiency, the building of datasets or simulators of ecological data, and benchmarks to compare how fast children and machines learn given similar input. The focus is on grounded language and communication. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community fostering the advancement of AI at its intersection with the study of natural intelligence. We seek researchers with a mixed expertise in machine learning (speech, language, vision, core ML) and cognitive science (developmental or language science) to join our research team to foster cutting-edge research in Developmental AI.
**Required Skills:**
Research Scientist - Meta Responsibilities:
1. Publish state-of-the-art research papers in both high impact machine learning and cognitive science outlets
2. Conduct independent research that investigates how AI can improve the science of learning in biological organisms and vice versa
3. Open source high quality code and reproducible results for the community
**Minimum Qualifications:**
Minimum Qualifications:
4. Ph.D. and established track record of leading and/or contributing to influential research, e.g. as evidenced by high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP)
5. Documented interest in cross-disciplinary research in topics relevant to developmental AI
6. Experience communicating research for public audiences of peers, as well as non-technical audiences
**Preferred Qualifications:**
Preferred Qualifications:
7. 2+ years of work experience in a faculty, industry, or government research position with primary emphasis on AI research
8. Experience in developing and debugging in C/C++, Python, PyTorch
9. Publications in top cognitive (neuro)science journals or conferences (Cognition, Cognitive Science, etc) a plus.
10. Experience driving original scholarship in collaboration with a team
**Industry:** Internet

Role: Senior Outcomes Research Scientist
Location: Hybrid - 2 days per week in office (Welwyn)
Hours: Full-time / 37.5 hours per week

Contract: 9 Month Maternity Cover (Outside IR35)
Pay:

• LTD/UMB: 75 - 90 per hour (including holiday pay)
• PAYE: 55.96 - 67.16 per hour (excluding holiday pay)

An excellent opportunity has arisen for a Senior Outcomes Research Scientist to join one of our longstanding clients, a highly regarded organisation operating within the pharmaceutical sector, on a 9-month maternity cover contract. This role will support high-impact patient-centered research, primarily within the neuroscience portfolio, with involvement in a mix of therapeutic areas as needed.

Benefits:

• Contract role with flexible hybrid working
• Competitive weekly pay
• Generous holiday - 25 days plus bank holidays
• Work with a highly experienced, collaborative research team
• Opportunity to contribute to meaningful clinical research outcomes

The Requirements:

• MSc in Public Health, Psychology, or a related field (PhD preferred)
• Minimum 3 years' experience in patient-centered outcomes research, ideally within pharma or consultancy
• Strong interest or background in neuromuscular disease is desirable
• Experience implementing clinical outcome assessments (COAs), including digital solutions and eCOA
• Strategic oversight experience of eCOA implementation (e.g., vendor liaison, UAT coordination)
• Strong understanding of measurement strategy, linguistic validation, and patient engagement
• Comfortable collaborating with cross-functional teams, including study teams, development and lifecycle teams, data science, and commercial access teams
• Able to work on-site in Welwyn an average of 2 days per week

The Role:

• Develop and execute patient-centered measurement strategies across the drug development lifecycle
• Work on a variety of projects with a predominant focus on the neuroscience portfolio
• Collaborate with clinical study teams and global cross-functional stakeholders to implement outcome assessments effectively
• Act as a strategic lead for clinical trial delivery areas including eCOA, digital strategy, and patient/site engagement
• Evaluate and recommend tools to capture the patient experience accurately and meaningfully
• Oversee processes such as linguistic validation, user acceptance testing, and technical specification reviews for COAs

If you're keen to join an exceptional team driving innovation in patient-centered research, then please apply to this Senior Outcomes Research Scientist role below or call Chloe McCausland at Clearline Recruitment on (phone number removed) between 8:30am - 5:00pm .

Role: Senior Outcomes Research Scientist
Location: Hybrid - 2 days per week in office (Welwyn)
Hours: Full-time / 37.5 hours per week

Contract: 9 Month Maternity Cover (Outside IR35)
Pay:

• LTD/UMB: 75 - 90 per hour (including holiday pay)
• PAYE: 55.96 - 67.16 per hour (excluding holiday pay)

An excellent opportunity has arisen for a Senior Outcomes Research Scientist to join one of our longstanding clients, a highly regarded organisation operating within the pharmaceutical sector, on a 9-month maternity cover contract. This role will support high-impact patient-centered research, primarily within the neuroscience portfolio, with involvement in a mix of therapeutic areas as needed.

Benefits:

• Contract role with flexible hybrid working
• Competitive weekly pay
• Generous holiday - 25 days plus bank holidays
• Work with a highly experienced, collaborative research team
• Opportunity to contribute to meaningful clinical research outcomes

The Requirements:

• MSc in Public Health, Psychology, or a related field (PhD preferred)
• Minimum 3 years' experience in patient-centered outcomes research, ideally within pharma or consultancy
• Strong interest or background in neuromuscular disease is desirable
• Experience implementing clinical outcome assessments (COAs), including digital solutions and eCOA
• Strategic oversight experience of eCOA implementation (e.g., vendor liaison, UAT coordination)
• Strong understanding of measurement strategy, linguistic validation, and patient engagement
• Comfortable collaborating with cross-functional teams, including study teams, development and lifecycle teams, data science, and commercial access teams
• Able to work on-site in Welwyn an average of 2 days per week

The Role:

• Develop and execute patient-centered measurement strategies across the drug development lifecycle
• Work on a variety of projects with a predominant focus on the neuroscience portfolio
• Collaborate with clinical study teams and global cross-functional stakeholders to implement outcome assessments effectively
• Act as a strategic lead for clinical trial delivery areas including eCOA, digital strategy, and patient/site engagement
• Evaluate and recommend tools to capture the patient experience accurately and meaningfully
• Oversee processes such as linguistic validation, user acceptance testing, and technical specification reviews for COAs

If you're keen to join an exceptional team driving innovation in patient-centered research, then please apply to this Senior Outcomes Research Scientist role below or call Chloe McCausland at Clearline Recruitment on (phone number removed) between 8:30am - 5:00pm .

**Job Requisition ID #**
25WD85591
**Position Overview**
As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.
We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
This role will report to a Manager of Research Science in the AI Lab.
**Responsibilities**
+ Develop new ML models and AI techniques
+ Lead on research projects within a global team
+ Review relevant AI/ML literature to identify emerging methods, technologies, and best practices
+ Explore new data sources and discover techniques for best leveraging data
**Minimum Qualifications**
+ A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines
+ Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions)
+ Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)
+ Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
+ Strong coding abilities in Python
**Preferred Qualifications**
+ Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g., BIM models, IFC files, AEC Contract Documents and Drawings such as Drawing Sets, Specifications, or Shop Drawings)
+ Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation)
+ LLMs and Natural Language Processing
+ Multi-modal deep learning and/or information retrieval
+ Publication track record in machine learning conferences and/or journals
+ Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)
#LI-JK3
**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).

Please complete your application before 24th October 2025. We encourage you to apply as early as possible as we review applications on a rolling basis.
This internship is intended for students enrolled in their penultimate/final year of education in an accredited full-time PhD degree program located in the EMEA region. Participation in the internship program requires that you are located in one of the specific country locations identified for this role, for the duration of the internship program. Interns will be required to be available to work full-time for a minimum of 13 weeks over the Summer 2026 (starting in May, June or July) for the duration of the program. Individuals applying for this position will not be eligible for immigration sponsorship.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred):
1. In the "Resume Section:" attach an updated CV or resume
2. In the "Education Section:" attach a current or recent unofficial or official transcript in English.
3. Under "Degree Status," select "Now attending" to upload a transcript.
Please include your expected graduation date (month and year), and availability for the internship on your resume. The specific team and project(s) will be determined based on your educational background, interest and skills.
**Minimum qualifications:**
+ Currently enrolled in a PhD degree in Computer Science or a related technical field in the EMEA region, and in your penultimate/final year of education.
+ Experience in one or more Research areas: NLU/Processing, Computer Vision, LLMs, AI Architecture, Audio Processing, Spatial/Temporal Modeling, Machine Learning, Algorithmic Foundations of Optimization, Data Mining, Machine Intelligence (Artificial Intelligence), AI/ML Algorithms, Deep Learning or Image Processing, Multimodal, Multilingual and Reinforcement Learning.
+ Experience with research from previous internships, full-time industry experience, personal projects, lab work, or published papers.
+ Experience in one or more general purpose programming languages: Java, C++, Python, or Go.
**Preferred qualifications:**
+ Experience as a researcher, including internships, full-time, or at a lab.
+ Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
+ Experience with one or more general purpose programming languages (e.g., C/C++, MATLAB, PAX/JAX, etc.).
+ Ability to complete a 13-17 week full-time internship in the internship location starting in either May, June or July 2026.
+ Ability to design and execute on research agendas.
Research happens at Google everyday, on many different embedded teams throughout the company. Our research reaches the user through both services and products such as Search, Maps, Google Assistant, Google Translate, Google Cloud, and our computing, storage, and networking infrastructure. To achieve this, we're working on projects that utilize the latest technologies that push the boundaries of what is possible. At Google, research-focused engineering interns are embedded throughout the company, contributing to the setup of large-scale tests and deploying promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing architectures, research-focused engineering interns work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and more.
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.
**Responsibilities:**
+ Participate in research to develop solutions for real-world, large-scale problems.
+ Research, conceive, and develop software applications to extend and improve on Google's product offering.
+ Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

**Minimum qualifications:**
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ One or more scientific publications in top-tier conferences or journals.
**Preferred qualifications:**
+ First-authored publications in the fields of machine learning (e.g. ICLR, ICML, NeurIPS) or programming languages theory (e.g. PLDI, ICFP).
+ Experience in the field of machine learning.
+ Experience in the field of programming languages (e.g. lambda calculus, type theory, combinatory logic).
+ Experience in the field of automated code discovery (LLM-based, AutoML, evolutionary, or meta-learning-based).
+ Post-doctoral research experience.
+ Excellent computer programming skills.
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
The team you'll be joining conducts basic research into alternative computational AI paradigms beyond those currently trending. We aim to deepen our understanding of how complexity emerges in differentiable/non-differentiable automated algorithm discovery methods. These methods automatically produce computer code that solves given tasks, which are often represented as a collection of data examples. We are particularly interested in finding solutions that exhibit compositionality, hierarchical structures, and component reuse. In your role, you'll research, develop, and publish findings on novel code representations for discovering such algorithms.
**Responsibilities:**
+ Carry out sustained exploratory research.
+ Review literature, identify key questions, design experiments, and interpret results.
+ Collaborate in person and remotely; maintain a respectful work environment.
+ Share ideas verbally and in writing; publish and present work at journals or scientific conferences.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Job Advertisement: Senior/Principal Patient-centred Outcomes Research Scientist

Are you ready to make a meaningful impact in the pharmaceutical industry? Our client is looking for a highly motivated and experienced Senior/Principal Patient-centred Outcomes Research Scientist to join their dynamic team on a 9-month contract basis. This is an exciting opportunity to work within the Digital Endpoints and Patient centred Solutions (DEPCS) department, focusing primarily on neurology, with the potential to contribute to other disease areas.

Contract Details:

• Contract Length: 9 months
• Location: UK based office/hybrid (ideally 2 days a week in the office)
• Working Pattern: Full Time
• Hourly Rate: 75 to 90 (Outside IR35)

About the Role:
As a Senior/Principal Patient-centred Outcomes Research Scientist, you will be at the forefront of developing and implementing patient-centred measurement strategies that are crucial to the drug development life cycle. You will collaborate with a diverse team of PCOR scientists and cross-functional stakeholders to ensure our strategies are fit for purpose and patient-focused.

Key Responsibilities:

• Develop and strategically execute patient-centred measurement strategies throughout the drug development life cycle in collaboration with study teams and global development teams.
• Partner with data science and operations experts to ensure successful study start-up, monitoring, and close-out related to clinical outcome assessments (COAs).
• Implement electronic clinical outcome assessments (eCOAs), oversee linguistic validation, and conduct user acceptance testing.
• Assess the need for new measurement tools to effectively capture the patient experience.
• Serve as a subject matter expert in areas such as measurement/digital strategy, linguistic validation, and site and patient engagement related to COAs.

Skills and Qualifications:

• Education: Minimum of an MSc in Public Health, Psychology, or a related field (PhD preferred).
• Experience: 3+ years of hands-on experience in developing and implementing patient-centred measurement strategies, including planning, execution, and dissemination of patient-centred evidence. Experience in a pharmaceutical company or consultancy is ideal.
• Therapeutic Area Interest: Direct experience in neuromuscular diseases is preferred, or a strong interest in working in this area.

Why Join Us?
This is your chance to contribute to ground-breaking research and improve patient outcomes in a supportive and innovative environment. Our client values collaboration, creativity, and a passion for patient-centred solutions. If you're ready to take on this exciting challenge, we want to hear from you!

Application Process:
To apply, please submit your CV and a cover letter outlining your relevant experience and interest in the role. Don't miss this opportunity to be part of a team that is dedicated to transforming patient experiences and outcomes!

Join us in making a difference-apply today!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.