5,932 National Physical Laboratory jobs in the United Kingdom

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems.

Key Responsibilities:

• Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments.
• Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance.
• Research Publications: Transform research findings and innovative contributions into high-impact publications in top-tier academic journals and conferences.
• Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing.
• Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations.

Required:

• Bachelor's or Master's degree in Computer Science or a related technical field.
• Be comfortable with research methodology.
• Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms.
• Good programming skills, master of at least one language, such as C/C++.
• Good communication and teamwork skills.

Desired:

• PhD in operating systems, distributed systems, machine learning, or a related field.
• Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine learning (NeurIPS, ICML, ICLR).
• Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization.

We are seeking aResearch Scientistto support exploratory research and in vitro assay development within a multidisciplinary Antibody & Novel Therapeutics team. The role focuses on advancing nucleic acid sciences and progressing new drug modalities.

Key responsibilities

• Evaluate nucleic acid modalities (DNA, RNA, oligonucleotides) as therapeutic candidates
• Investigate non-viral delivery systems, including lipid nanoparticles (LNPs)
• Design and execute cell-based assays using cell lines and primary immune cells
• Analyse data, troubleshoot, and contribute to project reporting and decision-making
• Collaborate across teams to support early-stage drug discovery

Requirements

• BSc/MSc/PhD in cell biology, immunology, or related field
• Strong experience in cell culture, including primary immune cells
• Hands-on experience with nucleic acid technologies (ASO, siRNA, mRNA, CRISPR)
• Familiarity with delivery systems such as LNPs or viral carriers
• Skilled in flow cytometry, qPCR, and imaging
• Strong teamworking and communication skills

This role is offered on an initial 12 month contract with potential for extension.

Apply to VRS today!

Keywords: nucleic acid, DNA, RNA, oligonucleotides, ASO, siRNA, mRNA, CRISPR, LNPs, lipid nanoparticles, drug delivery, flow cytometry, qPCR, cell culture, immunology, pharmaceutical, biopharmaceutical, biotherapeutic, industry, Berkshire, Reading, Slough, London,VRS9156SE

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems.

Key Responsibilities:

• Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments.
• Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance.
• Research Publications: Transform research findings and innovative contributions into high-impact publications in top-tier academic journals and conferences.
• Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing.
• Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations.

Required:

• Bachelor's or Master's degree in Computer Science or a related technical field.
• Be comfortable with research methodology.
• Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms.
• Good programming skills, master of at least one language, such as C/C++.
• Good communication and teamwork skills.

Desired:

• PhD in operating systems, distributed systems, machine learning, or a related field.
• Published papers in top journals/conferences focused on systems (NSDI, EuroSys, SoCC, OSDI etc.) and/or machine learning (NeurIPS, ICML, ICLR).
• Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization.

Job ID
32523
**Research Scientist**
Regular
Wrexham, United Kingdom of Great Britain and Northern Ireland ( Kingdom of Great Britain and Northern Ireland) My candidate profile
Syensqo is all about chemistry. We're not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet's beauty for the generations to come.
**We are looking for:**
A research scientist to join our Adhesives Research & Innovation team in Wrexham, UK. You will lead R&D projects focused on developing advanced adhesive bonding and surfacing technologies to drive future business growth.
**We count on you for:**
+ Lead the development of new adhesive products and technologies, especially in thermosetting polymers
+ Manage multiple R&I projects and ensure timely progress and reporting
+ Conduct scientific research, experiments, and literature reviews aligned with business needs
+ Build structure/property relationships and apply them to product innovation
+ Collaborate with cross-functional teams (engineering, marketing, sales, production)
+ Support scale-up and production transfer of new products
+ Present results to internal and external stakeholders, including customers
+ Secure intellectual property and stay informed on industry trends and IP landscape
**You will bring:**
+ Ph.D. in chemistry, polymer science, materials science, or a related field
+ Strong knowledge of organic chemistry, structure-property relationships, and material characterization techniques
+ Familiarity with surface science, resin handling, and testing procedures
+ Experience in adhesive formulation (pastes/films) for thermosetting systems is a plus
+ Interest in topics such as scale-up, lean principles, or Six Sigma; prior exposure is a plus but not required
**You will get:**
+ Competitive salary and benefits package. Since actual compensation packages are based on a variety of factors unique to each candidate we may ultimately pay more or less than the posted base salary range. Total compensation for this role also includes bonus and/or other incentives.
+ 16, or more, weeks of maternity/paternity and co-parenting leave, according to local regulations
+ Training platform for all employees
+ Free language courses (24 languages available)
+ Free well-being sessions (physical and psychological)
About us
+ Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity.
+ At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply.
#LI-Onsite
#LI-JS1

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

Read all the information about this opportunity carefully, then use the application button below to send your CV and application.nWe are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.nOur platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.nTo get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.nBenefits:nFully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.

Flexible schedule: choose which projects you take on and when you work.

Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance.

Impact: help shape the future of AI technologies.

Responsibilities:nDesign and solve diverse coding problems used to train AI systems.

Write clear, high-quality code snippets and detailed explanations.

Evaluate AI-generated code for accuracy, performance, and clarity.

Provide feedback that directly shapes the next generation of AI models.

Qualifications:nFluency in English (native or bilingual level).

Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.

Excellent writing and grammar skills.

A bachelor’s degree (completed or in progress).

Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.n

Research Scientist, Factuality
_corporate_fare_ Google _place_ London, UK
**Mid**
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
**Minimum qualifications:**
+ PhD degree in Computer Science, a related field, or equivalent practical experience.
+ 2 years of experience leading a research agenda.
+ Experience in Python, JavaScript, R, Java, or C++.
+ One or more scientific publication submission(s) for conferences, journals, or public repositories.
**Preferred qualifications:**
+ Experience with LLM training and generative models.
+ Experience in software engineering for Machine Learning.
+ Publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, TACL, ACL, NAACL, EMNLP, COLM).
**About the job**
The Gemini Factuality team is dedicated to ensuring the factual accuracy and reliability of our next-generation AI models. As a Research Scientist on this team, you will play a critical role in measuring and enhancing the factuality of Gemini. You will collaborate extensively with numerous research and engineering teams to drive foundational improvements. You will also require a unique blend of theoretical research and applied science to solve one of the most critical issues in Artificial Intelligence (AI) today.
**Responsibilities**
+ Drive research efforts to improve complex frontier Gemini capabilities, such as factuality.
+ Review the latest literature to guide research and experimental directions.
+ Curate and generate data to evaluate and improve Gemini capabilities.
+ Design and conduct supervised fine-tuning and reinforcement learning experiments to improve the performance of Gemini capabilities such as factuality.
+ Collaborate with partners and product functions to deliver new model capabilities to production.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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:

Please Note: The deadline for applying is 23.59 the day before the job posting end date.
Job Title: Formulation Research Scientist
Location: Port Sunlight R&D
Travel: 5% of the time.
JOB PURPOSE
The role of the Science & Technology team is to deliver breakthrough technologies and differentiated innovations to meet the needs and preferences of our consumers around the world. Within the Personal Care division, we are building new, world-class capability to help us develop innovations that out-perform the competition and build equity for our leading brands.
An opportunity has arisen for a degree/MSc qualified formulation technologist to join the Science & Technology (S&T) Physical Sciences Group within the Personal Care business at Port Sunlight and the Materials Innovation Factory (Liverpool), to contribute to the on-going development and optimisation of product formulations for Personal Care (Deo and Oral Care). The role involves working in multi-disciplinary Physical Sciences teams where everyone contributes to achieving a common goal. It is ideally suited to an energetic, self-motivated, independent, and resourceful research scientist with excellent people skills and a desire to further develop their scientific skills.
Reporting into a Physical Science manager, the job-holder will use their technical expertise to prepare and characterise new product formulations. They will measure and optimize product performance using category specific techniques, and also develop new methods to characterise products, working with robotics/automation experts when required. The job-holder will capture high quality data via appropriate data capture tools to provide new product insights.
Key skill areas are in formulation, colloid science, and physical characterisation of product microstructures. The successful candidate will also be expected to have proficiency in data handling and statistics.
EXPERIENCE, SKILLS & QUALIFICATIONS
+ BSc/MSc degree in physical chemistry, colloid science, materials science or equivalent research background.
+ Experience in lab scale formulation and processing of Personal Care and/or Home Care products and in characterisation of their microstructure.
+ Experience of OPEX App, and LIMS
+ Good practical skills and ability to translate experimental insights into product opportunities.
+ Desirable experience of working in an industrial or academic lab environment, including preparing and maintaining safety documentation.
+ Knowledge of digital methods (e.g. DoE, data analysis/manipulation) is desirable.
+ Excellent written and verbal communication skills.
NOTES
About Unilever
Unilever is one of the world's leading suppliers of Food, Home and Personal Care products with sales in over 190 countries and reaching 2 billion consumers a day. Unilever has more than 400 brands found in homes around the world, including Dove, Tresemme, Lynx, Lifebuoy, Shea Moisture, Persil, Domestos, Ben & Jerry's, Magnum, Marmite, The Vegetarian Butcher, Graze and Pot Noodle.
Faced with the challenge of climate change and the need for human development, we want to move towards a world where everyone can live well and within the natural limits of the planet. That's why our purpose is 'to make sustainable living commonplace'
What We Offer
Not only do we offer a competitive salary and pension scheme, we also offer an annual bonus, subsidised gym membership, a discounted staff shop and shares. You'll have the opportunity to work directly with our renowned and exciting brands in a flexible and hybrid working environment.
Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We are a key advocate of wellbeing and offer a variety of support for our people including hubs, programmes and development opportunities. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all.
Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, including about our Employee Resource Groups, please click here Equity, Diversity & Inclusion at Unilever | Unilever ( .
Recruitment Fraud
Cyber criminals advertise fake job adverts with prestigious employers as a way of stealing information or even defrauding individuals out of money. In the most sophisticated cases, they will set up fake websites, which have a similar address to companies like Unilever. They even conduct fake telephone interviews and then offer candidates a role with the proviso they pay a fee for background checks or to cover work visa costs.  These types of attacks are becoming more common as more people are looking for employment in the economic climate.
How is Unilever tackling this?
Many of Unilever's recruitment sites publish a warning to candidates about recruitment fraud. The Cyber Security team also proactively scan for signs of people setting up fake Unilever sites and act to close them down.
What can I do?
If you become aware of potential recruitment fraud, spot fake Unilever recruitment adverts or fake LinkedIn profiles, report them via Una Live Chat.
Unilever does not accept responsibility or liability for any candidates who are financially impacted by recruitment fraud. Your vigilance is key!
Job Category: Research & Development
Job Type: Part time
Industry:

Our client, a cutting-edge AI research lab, is looking for an innovative AI Research Scientist to join their growing team in **Southampton, Hampshire, UK**. This role is crucial for pushing the boundaries of artificial intelligence and developing next-generation AI solutions. You will be involved in designing, implementing, and evaluating novel algorithms and models in areas such as machine learning, deep learning, computer vision, and natural language processing. The ideal candidate will possess a strong academic background, a passion for research, and the ability to translate theoretical concepts into practical applications.

Key Responsibilities:

• Conduct fundamental and applied research in AI and machine learning.
• Develop, implement, and test new AI algorithms and models.
• Design and execute experiments to evaluate the performance of AI systems.
• Analyze large datasets to extract insights and identify patterns.
• Collaborate with a team of researchers and engineers to advance AI capabilities.
• Publish research findings in top-tier conferences and journals.
• Stay abreast of the latest advancements in AI and related fields.
• Contribute to the development of AI-powered products and services.
• Mentor junior researchers and interns.
• Present research findings to technical and non-technical audiences.

Qualifications and Skills:

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven track record of research in AI, demonstrated through publications or patents.
• Strong theoretical foundation in machine learning, deep learning, statistics, and optimization.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Familiarity with data analysis and visualization tools.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• Ability to work independently and manage research projects effectively.

This hybrid role offers a stimulating research environment, competitive compensation, and the opportunity to work on impactful AI innovations in **Southampton, Hampshire, UK**. If you are a passionate AI researcher ready to make a significant contribution, apply now.

Our client is seeking enthusiastic and bright Graduate Research Scientists to join their innovative R&D team in Aberdeen, Scotland, UK . This is an exceptional opportunity for individuals looking to launch their career in scientific research and development, gaining hands-on experience in a cutting-edge environment. You will be involved in various stages of research projects, from experimental design and execution to data analysis and interpretation. This role requires a strong academic background in a relevant scientific discipline, such as chemistry, biology, physics, or engineering, coupled with a passion for scientific inquiry and problem-solving. The Graduate Research Scientist will work under the guidance of senior researchers, contributing to the development of new products and technologies. Key responsibilities include conducting laboratory experiments, maintaining accurate research records, and contributing to scientific reports and presentations. You will be expected to stay abreast of the latest scientific literature and technological advancements in your field. The ability to work collaboratively within a team, as well as independently, is crucial. This position offers a hybrid working model, blending focused lab work with flexible remote work arrangements for data analysis and report writing. We are looking for individuals with excellent analytical skills, meticulous attention to detail, and a commitment to scientific rigor. This internship provides invaluable exposure to a professional research setting and opportunities for professional growth and development within a leading organization. Embrace this chance to contribute to meaningful scientific discovery and build a solid foundation for your future career.

Key Responsibilities:

• Conduct laboratory experiments and research activities under the supervision of senior scientists.
• Assist in the design and execution of research projects.
• Collect, analyze, and interpret experimental data.
• Maintain detailed and accurate records of research procedures and findings.
• Prepare scientific reports, presentations, and documentation.
• Stay updated with relevant scientific literature and research methodologies.
• Collaborate effectively with team members on research tasks.
• Operate and maintain laboratory equipment.
• Contribute to the development of new scientific techniques and processes.
• Ensure compliance with laboratory safety protocols and procedures.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Chemistry, Biology, Physics, Engineering, or a closely related scientific field.
• Strong theoretical knowledge in your area of specialization.
• Hands-on laboratory experience gained through academic projects or internships.
• Excellent analytical and critical thinking skills.
• Meticulous attention to detail and commitment to data accuracy.
• Proficiency in data analysis software is desirable.
• Strong written and verbal communication skills.
• Ability to work both independently and collaboratively in a team environment.
• Enthusiasm for scientific research and a desire to learn and grow.