219 AI Research jobs in London
AI Research Scientist
Posted 6 days ago
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AI Research Engineer
Posted 581 days ago
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About Arondite
Arondite is building the next generation of autonomous systems, software and AI to solve the world's most important frontier problems across defence, critical industries and the humanitarian sector. We are looking for mission-driven engineers who want to be part of a highly motivated team and build things that make a positive difference.
The Role
Arondite is looking for talented and flexible AI engineers to work on machine learning models for a range of autonomous systems, operating in the air, on the land and under the sea.
You will be developing models using open-source tools such as OpenCV and PyTorch for inclusion within fully integrated hardware/software products. You will be building algorithms to aid in areas such as navigation, image processing, sensor data processing and sensor fusion.
As a member of a company building integrated products, you will be able to influence the design and implementation of the data collection mechanisms, leading to more efficient models and faster training. You will also work closely with end users to rapidly understand and improve real-world model performance.
As an early hire within a start-up, you will have the opportunity to set up and drive AI development within the company. You will potentially lead the function and build a broader team as we continue to expand and build more diverse products. Regardless of previous experience, you will review the output of other engineers to check their work and provide feedback - everyone’s input is valued.
Requirements
You should apply if you have:
- BSc/BEng or MSc/MEng in AI, Computer Science, Data Science, Engineering or a related technical subject
- Strong programming skills in Python, as well as C++, Java or Rust
- Practical experience in developing machine learning models for sensor data processing
- Keen interest in applying cutting-edge machine learning approaches to real-world problems
- Interest in optimising data collection to improve machine learning performance
- Good understanding of resource optimisation of AI models to run on discrete / edge platforms
Note: The above describes the perfect candidate. We encourage you to apply even if you only partially fulfil this list.
Nice to have:
- Knowledge of MLOps in enabling machine learning to be deployed and maintained in end-user products
- Image and data processing for noise reduction / filtering
- Experience in visual representation of complex sensor data
All engineers at Arondite are expected to:
- Communicate effectively within a multi-disciplinary team of hardware, software and AI engineers
- Be resourceful and open-minded in seeking solutions to engineering challenges
- Teach themselves to be the expert, if we don’t already have one in a particular area
Please note: This is an in-person position based in London. The successful candidate must by the start of their employment have permission to work in the UK.
Benefits
We offer:
- The opportunity to work with world-class engineers on a wide range of technologies
- Free training and education to quickly fill knowledge gaps
- The best resources and equipment required to do your job
- Exposure to working closely with customers on real problems
- Free meals and snacks in the office
- 7% employer pension contribution
- Employee Stock Options for everyone, so we all have a stake in the company’s growth
- Relocation support
AI Research Scientist Multimodal
Posted 7 days ago
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25WD91974
**AI Research Scientist/Engineer (Multimodal)**
**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 Research Manager 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, or related disciplines
· Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, 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, PyTorch Lightning, or similar frameworks
· Strong coding abilities in Python
· Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms.
· Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs
· Publication track record in machine learning conferences and/or journals
**Preferred Qualifications**
· Significant post-graduate research experience, or five or more years of work experience (actual job title/position will be commensurate with experience)
· Experience with foundation and open-source models, meta/transfer learning, fine-tuning, distillation, multi-task/continual learning, RL, RLxF, and/or image/audio/video/3D generation/understanding
· Experience or familiarity with the 3D Graphics/Animation, Manufacturing, Engineering, Architecture, and/or Construction doma
#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).
AI Research Scientist (AEC)

Posted 13 days ago
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Job Description
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).
Senior AI Research Scientist
Posted today
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Responsibilities:
- Conduct advanced research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop novel algorithms and architectures for AI systems.
- Implement and evaluate AI models using state-of-the-art frameworks (e.g., TensorFlow, PyTorch).
- Collaborate with cross-functional teams to integrate AI solutions into product development.
- Publish research findings in top-tier academic conferences and journals.
- Mentor junior researchers and contribute to the team's technical growth.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Contribute to the strategic direction of the company's AI research roadmap.
- Present research ideas and results to technical and non-technical audiences.
- Ensure the ethical and responsible development of AI technologies.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of impactful research in AI, demonstrated through publications or patents.
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, scikit-learn).
- Deep understanding of theoretical machine learning concepts and practical implementation.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote environment.
- Ability to work independently, manage time effectively, and meet deadlines.
- Experience with cloud platforms (AWS, Azure, GCP) is desirable.
This role demands a proactive, creative, and results-oriented individual who thrives in a fast-paced research environment. If you are passionate about pushing the boundaries of AI and want to work on challenging, impactful projects from anywhere in the world, we want to hear from you.
AI Research Scientist (Remote)
Posted today
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Job Description
Responsibilities:
- Conduct cutting-edge research in artificial intelligence and machine learning, focusing on areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop novel algorithms and models to solve complex problems and push the boundaries of AI capabilities.
- Design and execute experiments, analyze results, and document findings thoroughly.
- Collaborate with cross-functional teams, including software engineers and product managers, to translate research breakthroughs into practical applications.
- Stay current with the latest academic literature and industry trends in AI and related fields.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts to demonstrate the viability of new AI techniques.
- Contribute to the intellectual property portfolio of the company through patents and publications.
- Mentor junior researchers and contribute to a culture of scientific excellence.
- Present research to internal teams and external audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Demonstrated track record of research contributions, evidenced by publications in reputable venues.
- Strong theoretical foundation and practical experience in one or more core AI/ML areas (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Proficiency in programming languages such as Python and experience with relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex research ideas clearly.
- Ability to work independently and manage research projects effectively.
- Experience with large-scale datasets and distributed computing is a plus.
- Passion for exploring new frontiers in AI and a creative mindset.
Lead AI Research Scientist
Posted 1 day ago
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Job Description
Key Responsibilities:
- Lead and mentor a team of AI researchers and engineers, fostering an environment of innovation and collaboration.
- Define and execute a strategic research roadmap in AI/ML aligned with the company's long-term vision.
- Design, develop, and implement novel AI algorithms and models for complex scientific problems.
- Conduct theoretical research and perform rigorous empirical evaluations of AI systems.
- Collaborate with cross-functional teams to integrate AI solutions into new products and services.
- Stay abreast of the latest advancements in AI and ML research, identifying opportunities for application.
- Publish research findings in top-tier academic conferences and journals.
- Manage research projects, including resource allocation, timelines, and budget.
- Contribute to the intellectual property portfolio through patents and publications.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Extensive research experience with a strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR).
- Demonstrated experience leading research teams and managing complex R&D projects.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
- Deep understanding of various AI/ML paradigms (e.g., supervised, unsupervised, reinforcement learning, NLP).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts.
- Proven ability to translate research into practical applications.
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Principal AI Research Scientist
Posted 1 day ago
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Responsibilities:
- Conduct advanced research in artificial intelligence and machine learning, focusing on developing novel algorithms and techniques.
- Design, implement, and evaluate complex AI models and systems for real-world applications.
- Lead research projects, defining research questions, methodologies, and success metrics.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate closely with engineering teams to translate research prototypes into production-ready solutions.
- Mentor junior researchers and contribute to the scientific growth of the team.
- Stay abreast of the latest advancements in AI and machine learning, identifying new research opportunities.
- Contribute to patent filings and intellectual property development.
- Present research findings to technical and non-technical audiences, including senior leadership.
- Drive innovation and push the boundaries of AI capabilities within the organization.
- Contribute to the strategic direction of AI research and development.
- Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- 10+ years of relevant research experience, with a strong publication record in leading AI venues.
- Expertise in one or more core AI areas such as deep learning (CNNs, RNNs, Transformers), NLP, computer vision, or reinforcement learning.
- Proficiency in programming languages commonly used in AI research (e.g., Python) and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proven ability to design, implement, and deploy complex AI models.
- Strong analytical and problem-solving skills.
- Excellent communication, presentation, and collaboration skills.
- Experience mentoring junior researchers or leading research teams is highly desirable.
- Ability to work independently and drive research initiatives forward.
- A passion for advancing the field of Artificial Intelligence and its applications.
Senior AI Research Scientist
Posted 1 day ago
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Principal AI Research Scientist
Posted 3 days ago
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- Leading the design and execution of advanced AI research projects, focusing on areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Developing novel algorithms and models to solve complex problems and push the boundaries of AI capabilities.
- Conducting rigorous experimentation and analysis to validate research hypotheses and measure performance.
- Collaborating with cross-functional teams, including engineers, product managers, and domain experts, to integrate AI solutions into products and services.
- Publishing research findings in top-tier academic conferences and journals.
- Mentoring junior researchers and guiding their technical development.
- Staying abreast of the latest advancements in AI and machine learning research worldwide.
- Contributing to the strategic direction of the AI research roadmap.
- Developing and presenting technical proposals and research findings to internal and external stakeholders.
- Ensuring the ethical development and deployment of AI technologies.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- A strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and journals.
- Minimum of 7 years of post-doctoral research experience in AI or Machine Learning.
- Deep expertise in one or more areas of AI, such as deep learning frameworks (TensorFlow, PyTorch), NLP, computer vision, or reinforcement learning.
- Proficiency in programming languages such as Python and experience with relevant libraries.
- Experience with large-scale data processing and distributed computing environments.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
- Proven ability to lead research initiatives and mentor junior team members.
- Experience in translating research outcomes into practical applications is highly valued.