20 Research Fellow In Natural Language Processing Applied To Health Records Strand London Wc2r 2ls jobs in London

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

**Job Requisition ID #**
25WD90093
**Position Overview**
Autodesk Research is dedicated to developing cutting-edge technologies and pioneering new workflows and experiences for our customers across AEC, Design & Manufacturing and Media & Entertainment industries. As a multidisciplinary team comprising scientists, industry practitioners and software creators, we assist customers in reimagining the future of designing and making.
One of our key focuses is the area of designing for human experience. We seek to enable and democratise the pursuit of human-centric principles and insights in all that our customers create by building innovative simulation tools for Autodesk software. To that end, we are exploring the intersection of latest developments in human sciences with advancements in technologies such as wearables, XR, computer vision, AI/ML. We are interested in understanding and then predicting nuances of human behaviour, perception, emotions, cultural contexts as they pertain to informing the design of anything from cities, through infrastructure, landscapes, buildings, products to movies.
We are currently seeking a talented Researcher to lead the creation of new, AI/ML-enhanced simulation tools for human experience and behaviour. We welcome applicants from diverse backgrounds, ideally including at least one of the following fields: sociology, behavioural, cognitive or neuroscience, multi-agent simulation. Prior exposure to projects within the AECO industry would be beneficial.
**Responsibilities**
+ Conduct applied research to investigate the potential of human experience simulation within the context of real design workflows
+ Design, implement and validate innovative AI/ML algorithms and systems for Autodesk applications
+ Explore diverse data sources and novel data collection methods to support this
+ Engage with industry partners and stakeholders to identify challenges and opportunities for human simulation and AI applications in various design workflows
+ Communicate ideas, challenges, solutions, and results effectively within a multidisciplinary team of researchers, software engineers, user experience designers, and industry experts
+ Publish research findings in top-tier conferences and journals to contribute to the scientific community
**Minimum Qualifications**
+ PhD or Master's degree
+ Published papers in top-tier AI/HCI/simulation conferences
+ Strong technical skills in applying deep learning and generative AI techniques, including implementing custom architectures, pretraining/fine-tuning generative models, building agentic workflows, and deploying solutions with real-world constraints.
+ Familiarity with PyTorch, TensorFlow, JAX or similar frameworks
**Preferred Qualifications**
+ Experience in building AI agents (based on RL, LLMs, etc.)
+ Experience in building multi-agent simulation
+ Background in Large Language Models/NLP and Multi-modal deep learning
+ Exposure to projects integrating human sciences (e.g. sociology, behavioural, cognitive, neuroscience)
+ Familiarity with spatial analysis algorithms (e.g. space syntax)
**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).

**Summary:**
Meta Reality Labs brings together R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Core-AI group in Reality Labs is seeking research scientists to solve the next generation of research challenges on the path to building the 3D Metaverse. The aim of this role is to develop and advance state of the art research in 3D Generative AI technologies such as generating objects, materials, animation and worlds.
**Required Skills:**
Research Scientist, 3D Generative AI (PhD) Responsibilities:
1. Research and develop novel computer vision models in Generative AI, with a focus on 3D objects, textures and scene generation.
2. Publish research results in top-tier journals and at leading international conferences.
3. Collaborate with team members throughout the lifetime of a project, from early research through prototyping
4. Working with product partners to deploy research into Meta's products.
**Minimum Qualifications:**
Minimum Qualifications:
5. PhD in the field of computer vision, robotics, ML or equivalent
6. Background in generative-ai, 3D computer vision, video and image generation.
7. Experience designing machine learning algorithms, including experience creating software for data loading, training, and inference of novel ML architectures
8. Experience working in cross functional collaboration
**Preferred Qualifications:**
Preferred Qualifications:
9. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, NeurIPS, ICLR, SIGGRAPH
10. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub.)
11. Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry
**Industry:** Internet

**Job Requisition ID #**
24WD83836
**Position Overview**
The Simulation, Optimization and Systems (SOS) group within Autodesk Research is seeking an exceptionally talented and experienced Scientific Leader to join our team. We are focused on advancing the state-of-the-art design tools to allow architects, artists, designers, and engineers to " _Make Anything_ ". Our research centers around generative methods for design and spans physics-based modeling, simulation, optimization and systems modeling. You will lead and help build build a group focusing on the future of physics informed AI. Your group will work closely experts in geometric modeling, simulation, systems, robotics, high-performance computing, machine learning, sensing, computer vision, industrial manufacturing and construction.
The Physics Informed AI group will be specifically focused on researching and implementing novel algorithms for physics informed machine learning for use in design and engineering tools. We are interested in a scientific leader to help guide and direct research into physics-based generative models, surrogate models, data assimilation & digital twins, physics-based reasoning and the interpretation of physical results using AI.
**Responsibilities**
+ Identify, recruit and hire a team of scientists in Physics Informed AI with a focus on design
+ Work closely with a multi-disciplinary team of research scientists and engineers to conceive, plan, develop, and implement scientific research projects
+ Direct & perform research on machine learning models combining physics simulation and measurement data
+ Manage a team, perform bi-annual evaluations, plan development, coach, mentor and connect your personnel to academic communities and throughout the company
+ Publish papers in peer-reviewed scientific journals/conferences
+ Supervise researchers, engineers and interns (undergrad, Masters, PhD or Post-docs)
+ Document and communicate the intent and the results of projects in clear terms to both technical and non-technical team audiences
+ Present research findings at conferences and participate in research collaborations with external research institutes and universities
+ Communicate and promote the use of research findings throughout Autodesk
+ Consult with product teams on the implementation of research findings into products
**Minimum Qualifications**
+ Ph.D. or MSc. 12+ years experience in Computer Science, Engineering, Physics or Applied Mathematics
+ Extensive experience with Physics Informed Machine learning models
+ Experience authoring physics-based solvers eg; fluids, thermal, structural, kinematic
+ Strong publication history in relevant conferences and journals
+ Proven track record as a practitioner of ML, creating, training and leading groups that can build and train models at scale
+ Excellent written and oral communication skills
+ Excellent knowledge of Numerical Methods
+ Ability to quickly learn new technologies and adapt to new situations
+ Ability to collaborate effectively with a diverse, multicultural global team of scientists, engineers and architects
**Preferred Qualifications**
+ Knowledge of geometry and topology
+ Experience training large-scale, multi-modal models and ensembles
+ Familiar with collaborative development environments and version control systems
+ Experience with:
+ 2D and 3D computer graphics programming
+ Visualization techniques
+ Bayesian statistics
+ NVIDIA Warp and/or JAX, NVIDIA Modulus or similar
+ Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker
+ Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale
+ Koopman, DMD, SINDy, Fourier Neural Operators, PINNs etc.
+ Computer Vision
+ Python, C++, Rust
+ OpenMP, Clang, SIMD, etc.
**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 - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $199,900 and $323,400. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Equal Employment Opportunity**
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging and an equitable workplace 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).

**Job Requisition ID #**
25WD88949
**Principal Research Scientist - Industry Futures Team, Autodesk Research**
**Position Overview:** Autodesk is a global leader in software solutions for the architecture, engineering, construction, manufacturing, media, and entertainment industries. We empower innovators everywhere to solve challenges big and small with powerful technology. At Autodesk, we believe in the transformative power of design to create a better world.
The Industry Futures team within Autodesk Research is dedicated to exploring cutting-edge technologies and methodologies that will shape the future of design and manufacturing. We are at the forefront of innovation, leveraging advancements in AI to develop new design workflows, simulations, and digital twins. Join us in pioneering the next generation of design tools and methodologies.
**Responsibilities:** As a Principal Research Scientist in the Industry Futures team, you will play a pivotal role in shaping the future of design through AI. Your responsibilities will include:
+ Applying your extensive experience in design and AI to create innovative design workflows.
+ Incorporating simulations and digital twins into design processes to enhance efficiency and accuracy.
+ Conducting thorough investigations to explore new methodologies and technologies.
+ Leading and mentoring junior researchers, fostering a collaborative and innovative environment.
+ Collaborating with a diverse range of engineers and scientists across Autodesk.
+ Writing AI-related code in Python or equivalent programming languages to develop and test new concepts.
+ Presenting your findings to both internal stakeholders and external audiences, showcasing the impact of your research.
**Qualifications:**
+ Master's degree in Engineering (Mechanical, Aerospace, or other design and manufacturing-specific fields), Data Science, or related fields.
+ Strong foundation in engineering, complemented by specialisation in AI.
+ 8+ years of experience in the field of engineering.
+ Proficiency in Python or equivalent programming languages.
+ Excellent analytical and problem-solving skills.
+ Proven ability to conduct independent research and lead projects.
+ Strong communication skills, both written and verbal.
**Preferred Qualifications:**
+ PhD or EngD in a related field.
+ Experience in design, simulation and digital twins.
+ Publications in reputable journals or conferences on topics related to AI and design.
**The Ideal Candidate:** We are looking for an individual who combines robust experience in design, testing, and AI. The ideal candidate is a skilled engineer who has grown into the field of AI, leveraging their practical experience to drive advancements in design technology. They should be able to take their real-world engineering knowledge and use it as a foundation to innovate with AI, making significant contributions to the future of design and manufacturing.
Join Autodesk Research's Industry Futures team and be a part of a community that is passionate about pushing the boundaries of what is possible. Your expertise and vision could help us shape the future of design.
**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 - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.
When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future 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, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.
**Diversity & Belonging**
We take pride in cultivating a culture of belonging and an equitable workplace 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).

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

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

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

**Summary:**
Meta Reality Labs Research (RL Research) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AI and AR/VR technology across the spectrum. The Surreal Spatial AI group is seeking exceptional research scientists to build machine perception technology allowing AI agents and systems to perceive and understand the 3D world around them. The aim of this role is to develop, advance and integrate ML and computer vision models and SW systems for advanced, real-time machine perception for egocentric devices such as Meta's Project Aria, including 3D environment and object reconstruction, semantic understanding, estimation and understanding of user motion, actions and activities, and learning of predictive, causal world models for embodied AI agents and egocentric devices.
**Required Skills:**
Research Scientist, 3D ML, AI & Computer Vision (PhD) Responsibilities:
1. Research, develop and prototype state of the art ML and software technology in the domains of 3D environment and object reconstruction, semantic understanding, estimation and understanding of user motion and more
2. Build/integrate real-time prototypes for advanced, real-time 3D machine perception systems as part of a fast-moving research and research engineering team
3. Collaborate with team members throughout the lifetime of a project, from prototyping to deployed products
4. Deliver research results that have a direct impact on Meta and Meta's AI-enabled products
**Minimum Qualifications:**
Minimum Qualifications:
5. Currently has or is in the process of obtaining a PhD in the field of computer vision, Machine Learning / Artificial Intelligence, robotics or equivalent
6. Track-record of state-of-the-art publications in the field and at top conferences in the field
7. Experienced in advanced 3D computer vision and ML, thorough understanding of 3D geometry fundamentals as well as state of the art ML/AI models incorporate that
8. Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry
9. 5+ years C++ experience with a mastery of modern C++ features
10. 3+ years python experience, including appropriate ML frameworks
11. Interpersonal experience: cross-group and cross-functional collaboration
12. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, ICCP, 3DV, BMVC, or SIGGRAPH.
14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
15. Broad understanding of the state of the art of ML and AI model architectures and training paradigms.
16. Experience working on real-time, high-performance systems in robotics, AR/VR, or other areas
17. Experience working in a Linux environment.
**Industry:** Internet