What Jobs are available for Research Scientist in London?

Adamas Knight is exclusively partnering with a prestigious Research Lab in London looking for exceptional Research Scientist to join their world-class team.

This lab is composed of researchers from elite institutions and industry labs including OpenAI, Google DeepMind, and Microsoft AI, and is focused on advancing the SOTA in LLMs, reinforcement learning, and deep learning for complex systems. The team is building the models with the goal of powering the next generation of AI supercomputing systems.

The Role

As a Research Scientist, you’ll be at the heart of groundbreaking research, working on core problems in deep learning, generative modelling, and RL.

With larger compute resources per capita than any other tech company, you’ll also have the opportunity to conduct and publish your research in top-tier conferences, such as NeurIPS, ICML, and ICLR, etc. and collaborate with world-renowned researchers across multiple DL disciplines.

You might be a fit if you have…

• PhD in Machine Learning, Computer Science, Mathematics or related field;
• Strong track-record in research in Big Tech;
• Deep technical expertise in training, fine-tuning, or scaling deep learning models;
• Experience developing models in language modelling, reinforcement learning, or related domains;
• A strong publication record in venues such as NeurIPS, ICML, ICLR.

What You’ll Get:

• The opportunity to work alongside leading AI researchers and engineers from the world's top institutions;
• SOTA infrastructure and tooling, including cutting-edge GPUs, optimised model training stacks, and robust experiment tracking;
• A highly competitive compensation package.

If this sounds like you, please apply!

At Adamas Knight, we are committed to creating an inclusive culture. We do not discriminate based on race, religion, gender, national origin, sexual orientation, age, veteran status, disability, or any other legally protected status. Diversity is highly valued, and we encourage applicants from all backgrounds to apply.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

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Our client is currently seeking a highly motivated Research Scientist to join a leading biopharmaceutical company based in Berkshire. The role involves applying advanced Surface Plasmon Resonance (SPR) technology and other biophysical techniques to study drug-target interactions, supporting In Vitro Pharmacology to facilitate drug discovery projects.

• Collaborate with cross-functional teams to support small molecule drug discovery by generating high-quality fragment screening data.
• Characterize binding properties and kinetics of therapeutic molecules to guide molecule selection from initial hit to final candidate.
• Assist with integrating AI into experimental analysis, designing guides for data evaluation and historical data investigation.
• Support the SPR team in antibody drug discovery assays and establish orthogonal screening methods like thermal shift assays.

• Relevant scientific degree.
• Industry experience with biophysical assays and SPR technology.
• Practical knowledge of fragment screening, thermal shift assays, and related biophysical techniques.

This is an entry-level, contract position based in Berkshire, within the Staffing and Recruiting industry. We welcome applications from all qualified candidates. Hyper Recruitment Solutions (HRS) is an Equal Opportunities employer and specializes in supporting the Life Science sector.

Quantinuum is looking for the next scientist to join the Quantum Error Correction (QEC) team in the United Kingdom. If selected, you will contribute to the architectural design and implementation of our QEC stack. This includes projects from the more abstract discovery of QEC codes with good properties and their universal fault-tolerant (FT) gate sets, passing through the big-picture simulation, distribution and estimation of quantum resources in our future generations of quantum devices, to the more practical design, compilation and decoding of FT or partially-FT QEC primitives and complete algorithms in our existing trapped-ion quantum computers.

Based in the London-Victoria or Cambridge offices, you will be working in a research-focused group with scientific direction from experienced QEC researchers, with a close connection to hardware and software engineers. You will produce research papers and software libraries, with freedom to think independently and creatively, making it an excellent opportunity to advance the theory and practice of quantum computing while developing your professional and academic career.

• Researching QEC methods and FT algorithms to run on real and simulated quantum computers.
• Collaborating with hardware and software engineers to implement existing and new techniques.
• Writing articles and publishing in leading scientific journals.
• Developing software libraries that accelerate the research in QEC.
• Keeping up-to-date with the literature of the field.
• Participate in the day-to-day activities of the QEC team: discussions, journal club, seminars…

• A Ph.D. degree or equivalent – or will have submitted their thesis prior to taking up the position – in Maths, Computer Science, Physics or a related discipline.
• A strong research record showing evidence of your ability to understand the fundamentals of QEC and contribute towards new ideas.
• Communicating scientific ideas clearly and precisely, both verbally and in writing.

• Scientific computing, programming in Python, and preferably one or more of high-speed languages like C++, Rust, Julia.

What is in it for you?

Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a highly competitive package, equity, 28 days of paid holiday (in addition to public holidays), a workplace pension, a positive approach to flexible working and enhanced parental and adoption benefits.

About Us:

Quantinuum is the world's largest integrated quantum company, driving breakthroughs in materials discovery, cybersecurity, and next-generation quantum AI. With a team of more than 600 employees, including more than 420 of them being scientists and engineers, we are leading the worldwide quantum computing revolution.

By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.

As we celebrate the International Year of Quantum, there has never been a more exciting time to be part of this rapidly evolving field. By joining Quantinuum, you'll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.

Visit our news pages to learn more about Quantinuum and our scientific breakthroughs and achievements:

Quantinuum Intro Video: The Future of Quantum Computing

Please note that employment with us is subject to successfully passing our pre-employment screening checks. We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Direct message the job poster from MediaTek

Job Description

About Us

MediaTek is a key player in the semiconductor industry, with more than 40 offices worldwide. MediaTek Research is our dedicated research lab at the forefront of artificial intelligence. We focus on fundamental AI research aimed at advancing the broader scientific community, as well as applied AI research with potential impact on chip design and communication systems. We are committed to open science and regularly publish in top conferences such as NeurIPS, ICML, ICLR, and ACL.

Job Description

We are seeking a highly motivated and talented Research Scientist to join our AI research team. The ideal candidate will have a strong background in machine learning, artificial intelligence, computer science, mathematics, or physics, and a proven track record of research excellence. As a Research Scientist, you will work on cutting-edge projects that push the boundaries of AI and contribute to both applied and theoretical advancements in the field.

This role is ideal for individuals who are excited to define and pursue their own research directions, thrive in an environment of self-driven exploration, and see research as more than a job—but as a passion and a way to make meaningful impact.

Our team operates in two main directions: one focused on applying AI to the design and optimization of semiconductors, and the other dedicated to fundamental research that supports both our applications and the broader scientific community.

Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models.

Responsibilities

• Conduct innovative research in machine learning and artificial intelligence
• Develop and implement algorithms
• Collaborate with cross-functional teams to integrate AI solutions
• Publish research findings in top-tier conferences and journals
• Stay up to date with the latest advancements in AI and related fields
  
  

• Conduct innovative research in machine learning and artificial intelligence
• Develop and implement algorithms
• Collaborate with cross-functional teams to integrate AI solutions
• Publish research findings in top-tier conferences and journals
• Stay up to date with the latest advancements in AI and related fields
  
  

• PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field; or equivalent research experience
• Strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL)
• Expertise in machine learning algorithms and techniques
• Proficiency in programming languages such as Python, C++, or similar
• Excellent problem-solving skills and the ability to work independently and collaboratively
• Strong communication skills, with the ability to present complex ideas clearly
  
  

• Experience in optimization, reinforcement learning, and/or large language models (LLMs)
• Experience in chip design and applied AI research
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
  
  

• Work on groundbreaking AI research with real-world applications and a strong commitment to open-source contributions and scientific advancement
• Collaborate with a team of world-class researchers and engineers
• Drive real-world impact through applications across MediaTek’s product portfolio
• Publish your work in prestigious conferences and journals
• Collaborate with leading universities and academic researchers
• Benefit from a hybrid work arrangement
• Access opportunities for professional growth and development in a culture that values initiative and intellectual curiosity
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Computer Hardware Manufacturing, Semiconductor Manufacturing, and Wireless Services

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London, England, United Kingdom 3 days ago

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Overview

Join to apply for the Biosensor Research Scientist role at ZiO Health .

Location: London, UK • Job Type: Full Time

• Develop and optimize AB biosensors to achieve regulatory standards
• Design and execution of experimental strategies in consultation with the CSO, senior management and team
• Research novel technical concepts, assimilate information from published literature and critically apply the concepts in experimental design
• Perform extensive experiments to back the findings
• Prepare scientific reports and present to the board of directors and investors
• Contribute to the day-to-day planning and organization of R&D duties

• Experience with electrochemical biosensors
• Extensive laboratory experience in the fields of molecular biology, biochemistry, synthetic biology, or biological engineering
• Ability to generate and interpret technical data based on relevant projects
• A good record in publications
• Experience in statistical data analysis
• Good organisational skills with regular record keeping, and the ability to multi-task and manage time effectively to meet milestones and deadlines

• Master’s/PhD in a relevant field - molecular biology, biochemistry, synthetic biology, biosensors, biomaterials, electrochemistry, biological engineering or other closely related field
• High degree of self-motivation and ability to work under pressure while maintaining a high degree of accuracy
• Excellent problem-solving ability and strong analytical skills
• Strong team player with an analytical and problem-solving approach
• Excellent project and time management abilities, including thorough and timely reporting
• Good interpersonal skills
• Impact-driven mindset, eager to make a positive difference for the company, product, users, and colleagues
• Comfortable with both hands-on tasks and strategic thinking
• Creativity and adaptability in identifying and pursuing new avenues of inquiry

ZiO Health is a medical technology & digital health company that has developed proprietary pocket-sized technology, bringing lab testing to the point of use. We are changing the way we approach therapeutic drug monitoring and precision dosing. Our proprietary biosensor technology combined with AI-guided dosing allows us to provide immediate concentration results and personalized dose information to improve patient treatment outcomes and minimise toxicity.

If you're interested in applying for this position, please send us a short introduction and your CV to

Role Description

The AI Safety Institute research unit is looking for exceptionally motivated and talented people to join its Safeguard Analysis Team.

Interventions that secure a system from abuse by bad actors will grow in importance as AI systems become more advanced and integrated into society. The AI Safety Institute’s Safeguard Analysis Team researches such interventions, which it refers to as 'safeguards', evaluating protections used to secure current frontier AI systems and considering what measures could and should be used to secure such systems in the future.

The Safeguard Analysis Team takes a broad view of security threats and interventions. It's keen to hire researchers with expertise developing and analysing attacks and protections for systems based on large language models, but is also keen to hire security researchers who have historically worked outside of AI, such as in - non-exhaustively - computer security, information security, web technology policy, and hardware security. Diverse perspectives and research interests are welcomed.

The Team seeks people with skillsets leaning in the direction of either or both of Research Scientist and Research Engineer, recognising that some technical staff may prefer work that spans or alternates between engineering and research responsibilities. The Team's priorities include research-oriented responsibilities – like assessing the threats to frontier systems and developing novel attacks – and engineering-oriented ones, such as building infrastructure for running evaluations.

In this role, you’ll receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff, including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge.

In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience.

You may be a good fit if you have some of the following skills, experience and attitudes:

• Experience working on machine learning, AI, AI security, computer security, information security, or some other security discipline in industry, in academia, or independently.
• Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab).
• Red-teaming experience against any sort of system.
• Strong written and verbal communication skills.
• Comprehensive understanding of large language models (e.g. GPT-4). This includes both a broad understanding of the literature, as well as hands-on experience with things like pre-training or fine-tuning LLMs.
• Extensive Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling.
• Ability to work in a self-directed way with high agency, thriving in a constantly changing environment and a steadily growing team, while figuring out the best and most efficient ways to solve a particular problem.
• Bring your own voice and experience but also an eagerness to support your colleagues together with a willingness to do whatever is necessary for the team’s success and find new ways of getting things done.
• Have a sense of mission, urgency, and responsibility for success, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done.
• Writing production quality code.
• Improving technical standards across a team through mentoring and feedback.
• Designing, shipping, and maintaining complex tech products.

We are hiring individuals at all ranges of seniority and experience within the research unit, and this advert allows you to apply for any of the roles within this range. We will discuss and calibrate with you as part of the process. The full range of salaries available is as follows:

• L3: £65,000 - £5,000
• L4: 5,000 - 5,000
• L5: 05,000 - 15,000
• L6: 25,000 - 35,000
• L7: 45,000

There are a range of pension options available which can be found through the Civil Service website.

In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process.

This job advert encompasses a range of possible research and engineering roles within the Safeguard Analysis Team. The 'required' experiences listed below should be interpreted as examples of the expertise we're looking for, as opposed to a list of everything we expect to find in one applicant:

• Writing production quality code
• Writing code efficiently
• Python
• Frontier model architecture knowledge
• Frontier model training knowledge
• Model evaluations knowledge
• AI safety research knowledge
• Security research knowledge
• Research problem selection
• Research science
• Written communication
• Verbal communication
• Teamwork
• Interpersonal skills
• Tackle challenging problems
• Learn through coaching

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data.

What You’ll Do:

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third.

Other duties as assigned or needed.

Skills You’ll Need:

• 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia
• Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs)
• Solid development skills in Python and/or C++
• Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
• Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Reliable and predictable availability

Bonus Points

• Experience with HPC and distributed large model training
• Experience with GPU performance optimization (CUDA or ROCm)
• Experience with end-to-end model development, especially in LLMs
• Prior academic publications and/or contributions to open-source AI research
• Strong opinions on best practices in ML research, tooling, and/or infrastructure

Benefits

Join to apply for the Research Scientist - Antibody Discovery role at Hyper Recruitment Solutions

Join to apply for the Research Scientist - Antibody Discovery role at Hyper Recruitment Solutions

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We are currently looking for an Antibody Discovery Scientist to join a leading Pharmaceutical company based in the Berkshire area. As the Antibody Discovery Scientist, you will be responsible for utilising proprietary antibody discovery and engineering technologies to support improved delivery solutions for gene therapy vectors.

This is an initial 12 month contract and can be offered at Research Scientist, or Senior Scientist depending on experience.

Key Duties And Responsibilities

Your duties as the Antibody Discovery Scientist will be varied; however, the key duties and responsibilities are as follows:

• As the Antibody Discovery Scientist, you will use world-leading discovery technologies to discover high-quality antibodies. You will be experienced with B cells or hybridoma. Phage or yeast display experience would be advantageous.
• As the Antibody Discovery Scientist, you will conduct in vitro assays and in vivo models to validate novel gene therapy vectors.
• As the Antibody Discovery Scientist, you will present experimental data at cross-functional meetings and working collaboratively across departments to align on strategies and deliver within expected timelines.
• As the Antibody Discovery Scientist, you will review cutting-edge technologies in the field to bring the next advances in gene therapy engineering and antibody discovery.
  
  

• Relevant degree in immunology, gene therapy, or antibody discovery/characterisation.
• Proven industry experience in cell culture and molecular biology techniques, including PCR and cloning. Experience with B cells or hybridoma. Phage or yeast display experience would be advantageous.
• A working knowledge and practical experience with in vitro and/or in vivo antibody sequencing such as NGS or bioinformatics approaches.
  
  

• Seniority level Entry level

• Employment type Contract

• Job function Other
• Industries Staffing and Recruiting

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Join to apply for the Research Scientist, Quantum Algorithms role at Quantinuum

1 day ago Be among the first 25 applicants

Join to apply for the Research Scientist, Quantum Algorithms role at Quantinuum

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We are seeking a Research Scientist for our quantum algorithms team in London or Cambridge, UK.

Our team leads the development, implementation, simulation, and application of quantum algorithms for computational problems of both scientific and practical relevance.

In this role, you will contribute to the design of novel quantum algorithms and to the development of techniques aimed at reducing algorithmic overheads for execution on Quantinuum’s hardware. You will also be responsible for estimating end-to-end resource requirements under realistic hardware constraints. This research includes the development of new techniques and quantum computational models aimed at reducing circuit depth and making quantum circuits shallower, as well as the scalable co-design of algorithms with our hardware, including early fault-tolerant protocols and error correction or detection primitives.

Our team members regularly publish scientific papers and present their results at leading conferences. In this role, you will work in a collaborative environment and contribute to advancing our state-of-the-art quantum computing stack. You will also engage with our academic and industry partners.

Key Responsibilities

• Conduct research on new computational models and techniques to reduce the circuit depth of quantum algorithms
• Develop and implement novel quantum algorithms integrated with early fault-tolerant protocols and error correction or detection primitives
• Contribute to end-to-end resource estimation of quantum algorithms under realistic hardware constraints
• Communicate scientific results internally across teams and externally through publications and conference presentations
  
  

• PhD in a relevant field (physics, mathematics, computer science etc.)
• Research experience in quantum algorithms, along with demonstrated expertise in at least one of the following areas: quantum algorithm design and optimization, realistic noise models of quantum hardware, quantum error correction, or (partially) fault-tolerant protocols
  
  

• Demonstrated research track record via publications in a relevant field
• Deep knowledge of quantum computing and quantum algorithm design
• Hands-on experience with implementing quantum algorithms on simulators or hardware
• Excellent written and oral communication skills
• Programming skills in a high-level language such as Python and relevant tools such as pytket, Qiskit etc.
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Other
• Industries Computer and Network Security

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