65 M S jobs in London Colney
AI Research Scientist
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You will be involved in designing and conducting experiments, analysing large datasets, and evaluating the performance of AI models. Your responsibilities will include staying abreast of the latest advancements in machine learning, deep learning, natural language processing, computer vision, or other relevant AI fields. Collaboration with other researchers, engineers, and product managers will be key to ensuring that research efforts are aligned with business objectives and technological capabilities. You will have the opportunity to publish research findings and present work at leading AI conferences. The hybrid working model supports a flexible approach, allowing for focused individual work and collaborative team sessions.
We are seeking candidates with a PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field. A minimum of 3-5 years of experience in AI research or development is required, with a strong portfolio of relevant projects. Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in programming languages like Python is mandatory. Experience with cloud platforms (AWS, GCP, Azure) and big data technologies is highly desirable. Strong analytical, critical thinking, and problem-solving skills are crucial, as is the ability to communicate complex technical concepts effectively. If you are an innovative AI researcher looking to make a significant impact and contribute to transformative technologies, we encourage you to apply.
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence and machine learning.
- Develop and implement advanced AI models and algorithms.
- Design and execute experiments to evaluate AI performance.
- Analyse large datasets to extract meaningful insights and patterns.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Stay current with AI research literature and emerging technologies.
- Publish research findings and present work to technical and non-technical audiences.
- Contribute to the intellectual property and innovation of the company.
- PhD or Master's degree in AI, Machine Learning, Computer Science, or related field.
- 3-5 years of experience in AI research or development.
- Proficiency in machine learning frameworks (TensorFlow, PyTorch, Keras).
- Strong programming skills in Python.
- Experience with big data technologies and cloud platforms is a plus.
- Excellent analytical and problem-solving abilities.
- Strong communication and presentation skills.
- Ability to work effectively in a hybrid and collaborative research environment.
AI Research Scientist
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As an AI Research Scientist, your responsibilities will include conceptualising, designing, and implementing novel AI algorithms and models. You will conduct rigorous experiments, analyse results, and translate complex findings into actionable insights and product features. Collaboration with cross-functional teams, including software engineers and product managers, will be essential to bring AI solutions from concept to production. You will also be responsible for staying abreast of the latest advancements in AI and machine learning, contributing to scientific publications, and presenting research findings at conferences. Building and maintaining strong relationships within the global AI research community will be key to the role’s success.
The ideal candidate will hold a PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A proven track record of published research in top-tier AI conferences or journals is highly desirable. You will possess strong programming skills in Python, along with extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. A deep understanding of fundamental AI concepts, algorithms, and mathematical principles is crucial. Excellent problem-solving abilities, strong analytical skills, and the capacity to work autonomously in a remote setting are also required. Experience with cloud platforms (AWS, Azure, GCP) and distributed computing would be a significant advantage. You should be an excellent communicator, capable of articulating complex technical concepts to both technical and non-technical audiences. If you are ready to shape the future of AI from the comfort of your home office, we want to hear from you. Join us and be part of a team that is making a real impact.
Research Scientist - Biotechnology
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Pharmaceutical Research Scientist
Posted 4 days ago
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Responsibilities:
- Design and conduct experiments to investigate biological pathways and identify potential drug targets.
- Develop and validate new assays and experimental models.
- Analyze and interpret complex experimental data, employing statistical methods.
- Collaborate with cross-functional teams, including medicinal chemists, pharmacologists, and toxicologists.
- Contribute to the preparation of research reports, scientific publications, and regulatory submissions.
- Maintain accurate laboratory records and ensure compliance with Good Laboratory Practices (GLP).
- Stay informed about the latest scientific advancements and emerging technologies in the pharmaceutical industry.
- Troubleshoot experimental procedures and equipment.
- Present research findings at internal meetings and external scientific conferences.
- Manage laboratory resources and contribute to a safe and organized work environment.
Qualifications:
- PhD or Master's degree in Pharmacology, Biochemistry, Molecular Biology, or a related life science discipline.
- Proven experience in drug discovery research, preferably within the pharmaceutical or biotechnology sector.
- Hands-on experience with various molecular and cellular biology techniques (e.g., cell culture, PCR, Western blotting, ELISA).
- Strong analytical skills with the ability to interpret complex data sets.
- Excellent written and verbal communication skills, with a track record of scientific publications.
- Ability to work independently and collaboratively in a team-oriented environment.
- Proficiency in data analysis software (e.g., GraphPad Prism, R) is an advantage.
- Familiarity with regulatory guidelines (e.g., GLP, GMP) is desirable.
- Strong problem-solving abilities and attention to detail.
This hybrid position offers a competitive salary, comprehensive benefits, and the opportunity to work on groundbreaking research in a vibrant city location like London .
AI Research Scientist (AEC)

Posted 24 days ago
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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).
Principal Research Scientist (Biotechnology)
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Key Responsibilities:
- Design, conduct, and interpret complex research experiments in biotechnology.
- Develop and implement novel research methodologies and experimental protocols.
- Lead independent research projects from conception to completion, contributing to publications and patents.
- Analyze and present research data effectively to internal teams and external audiences.
- Mentor and guide junior research scientists and technicians.
- Collaborate with cross-functional teams, including medicinal chemists, computational biologists, and clinicians.
- Stay abreast of the latest scientific literature and technological advancements in the field.
- Manage research budgets and resources efficiently.
- Contribute to grant proposals and secure external funding where applicable.
- Ensure compliance with all laboratory safety regulations and ethical guidelines.
- Represent the company at scientific conferences and foster external collaborations.
- Identify and evaluate new research opportunities and technologies.
- Develop and validate new assays and analytical methods.
- Write and submit manuscripts for publication in peer-reviewed journals.
- Contribute to the strategic direction of the research department.
Qualifications:
- Ph.D. in Biotechnology, Molecular Biology, Biochemistry, or a related life science discipline.
- Minimum of 5-7 years of postdoctoral research experience or equivalent in an R&D setting.
- A strong publication record in reputable peer-reviewed journals.
- Demonstrated expertise in at least one core area of biotechnology (e.g., gene editing, immunotherapy, protein expression, drug delivery).
- Proven ability to design and execute complex experiments independently.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, suitable for presenting complex scientific information.
- Experience with data analysis software and bioinformatics tools is advantageous.
- Ability to work effectively in a remote, collaborative research environment.
- Experience in leading research projects and mentoring junior staff.
Senior Research Scientist - Bioinformatics
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As a Senior Research Scientist, you will lead and contribute to cutting-edge research projects focused on analysing large-scale biological datasets, including genomics, transcriptomics, and proteomics. Your primary responsibilities will involve developing and implementing advanced computational and statistical methods to extract meaningful insights from complex biological data. You will manage research projects, mentor junior scientists, and collaborate with experimental biologists and clinicians to drive scientific discovery.
Key duties include designing and executing bioinformatics pipelines, performing data quality control, and interpreting results in the context of biological questions. You will also contribute to grant writing, manuscript preparation, and presenting findings at international conferences. Staying current with the latest advancements in bioinformatics and computational biology is paramount.
The ideal candidate will possess a deep understanding of molecular biology, genetics, and statistics, coupled with extensive experience in bioinformatics analysis. Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, TCGA) are essential. Strong analytical, problem-solving, and communication skills are required to effectively collaborate within multidisciplinary teams.
Required qualifications include a Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field. A minimum of 5 years of postdoctoral or industry research experience in bioinformatics is necessary. Experience in leading research projects and publishing in peer-reviewed journals is highly desirable. This is an exceptional opportunity to advance scientific knowledge and to work in a stimulating, fully remote research environment.
This role supports critical research initiatives impacting **London, England, UK**, and the broader scientific community.
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Lead AI Research Scientist
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The Lead AI Research Scientist will spearhead cutting-edge research projects, focusing on developing novel AI algorithms and applications. You will lead a team of talented researchers and engineers, guiding them in pushing the boundaries of artificial intelligence. Key responsibilities include:
- Designing and implementing advanced machine learning models and deep learning architectures.
- Conducting rigorous research to address complex AI challenges in areas such as natural language processing, computer vision, or reinforcement learning.
- Developing and validating new algorithms and techniques.
- Collaborating with product teams to translate research findings into practical AI solutions.
- Publishing research papers in top-tier academic conferences and journals.
- Mentoring and guiding junior researchers and engineers.
- Staying abreast of the latest developments in the AI and machine learning fields.
- Managing research project timelines, resources, and deliverables.
- Contributing to the intellectual property portfolio through patents and innovative solutions.
We are looking for candidates with a PhD or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with substantial research experience. Proven expertise in programming languages such as Python and proficiency with AI frameworks like TensorFlow, PyTorch, or Keras are essential. Strong analytical, problem-solving, and communication skills are required. Experience in leading research projects and managing teams is highly desirable. If you are a passionate and visionary AI researcher eager to make a significant impact in a remote-first, innovative environment, we encourage you to apply.
Senior Pharmaceutical Research Scientist
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Senior Pharmaceutical Research Scientist
Posted today
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Key Responsibilities:
- Design and conduct in vitro and in vivo experiments to evaluate drug efficacy and safety.
- Develop and optimize assays for drug screening and target validation.
- Analyze experimental data using statistical and bioinformatics tools.
- Contribute to the development of new drug discovery strategies.
- Prepare research reports, presentations, and manuscripts for publication.
- Collaborate with medicinal chemists to optimize lead compounds.
- Participate in project team meetings and provide scientific expertise.
- Stay current with scientific literature and emerging technologies in drug discovery.
- Mentor junior research staff and contribute to laboratory management.
- Ensure compliance with all relevant safety and regulatory guidelines.