279 AI Research jobs in London

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.

About the AI Research Residency

The AI Research Residency at MediaTek Research is a fixed-term program designed for recent graduates and early-career researchers. This immersive experience offers the opportunity to engage in cutting-edge AI research under the mentorship of experienced scientists and engineers. Residents work on impactful projects that bridge theoretical advances with practical applications.

The program is ideal for individuals who are excited to shape their own research directions, thrive in an intellectually dynamic environment, and view research not just as a career step, but as a creative and deeply engaging pursuit.

Program Highlights

• Mentorship: Collaborate with experienced researchers and engineers on innovative AI projects
• Research Focus: Engage in areas such as large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models
• Professional Development: Gain hands-on experience in AI research with real-world applications, contributing to both academic publications and product development
• Academic Collaboration: Collaborate with leading universities and contribute to the broader scientific community
• Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration

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

Qualifications

Required:

• PhD in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field
• Proficiency in programming languages such as Python, C++, or similar
• Strong problem-solving skills and the ability to work both independently and collaboratively
• Excellent communication skills, with the ability to present complex ideas clearly

Preferred:

• Experience in optimization, reinforcement learning, and/or large language models (LLMs)
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
• A strong publication record in top conferences (e.g., NeurIPS, ICML, ICLR, ACL)

Why Join Us

• 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
• Contribute to open-source projects and the scientific community
• Engage in collaborations with top universities and academic researchers
• Access opportunities for professional growth and development in a culture that values initiative and intellectual curiosity

• Location: London/Cambridge
• Duration: 12–24 months ( Fixed Term Contract)
• Competitive compensation package available
• End Date: 6th Nov 2025

At Plumerai, we make it easy and affordable for developers to add highly accurate AI to their embedded devices and thereby enable them to create amazing new products. We combine our on-device Tiny AI software with our cloud-based multimodal LLMs, providing People Detection, Video Search, Familiar Face Identification, AI Captions and more.

Major enterprises deploy our advanced computer vision models on millions of smart home cameras in the field and we’re rapidly expanding into commercial security, retail, assisted living, and more. The best solution runs as much as possible on-device to enable low-power, accurate, and private AI products. This is where Plumerai leads, demonstrating better accuracy even than Google Nest. We are now starting to invest heavily in market adoption.

We build the most accurate and efficient AI solutions by vertically integrating all layers of the stack. From data collection and curation, custom training software, model architectures, multimodal LLMs, pre- and postprocessing, and all the way down to the fastest inference engines. Not only does our team have a deep theoretical understanding about all these components, we also know how to ship fast and often.

Our team is based in London and Amsterdam, we have recently raised funding to provide multiple years of runway, while our recurring revenue is growing rapidly. We are backed by world-class investors such as Tony Fadell (creator of iPod, iPhone; founder of Nest), Hermann Hauser (founder of Arm), Zoubin Ghahramani (Google DeepMind), and others.
Learn more here:
TechCrunch: Tony Fadell-backed Plumerai brings on-device AI to home security cameras
Plumerai raises $8.7M Series A to connect Vision LLMs to trillions of edge devices.

Role description

We are looking for an AI Research Engineer that can help us develop state of the art AI products. This can involve anything from improving our training algorithms, training and integrating multimodal LLMs, building our data pipeline, designing new model architectures to using tried and tested ML approaches and coming up with clever algorithms. You will help us build new AI features that will be shipped to millions of camera devices in the field. Together we are building the most advanced AI for embedded devices.

What you will be doing

• We combine our Tiny AI with multimodal LLMs to enable our advanced AI features for our customers. You will use and improve multimodal LLMs to achieve new functionality for our customers and optimize their deployments (cloud and edge).
• Some of our deep learning models are truly tiny - the memory footprint of our smallest computer vision model is just 1MB. You will train and design more accurate models, while also enabling new and more complex AI applications on low-cost and low-power hardware.
• You will improve our data pipeline, model architectures and training software. Sometimes there is relevant literature available, but novel approaches and clever hacks are often required for the problems that we are working on.
• You will use our Kubernetes cluster to deploy PyTorch and TensorFlow training jobs, Snowflake and Dataflow to build datasets, tools like Streamlit to prototype new demos (try one of our live demos here ) and lots of GPUs on GCP for training new models and auto-labeling data.

Requirements

What You Need

• Very strong software engineering skills and proficiency in Python.
• Comfortable with frameworks such as PyTorch, TensorFlow, Keras, or JAX.
• Strong experience with computer vision and multimodal LLMs.
• Experience working in a team on the same software project.

Nice To Have

• Trained neural networks that moved into production.
• Industry experience with efficient inference deployments (cloud or edge).
• Experience with Deep Reinforcement Learning.

Benefits

What we offer

• Competitive salary.
• Generous equity stake in the company.
• Relocation assistance.
• Choose your own laptop.
• 25 days of paid vacation time in addition to bank holidays.
• Ability to attend top research conferences like NeurIPS, ICML and CVPR.

We only consider applicants who are currently based in, or willing to relocate to, London or Amsterdam. We have flexible working hours and work together from our offices on at least 2 fixed days per week.

At Plumerai, we make it easy and affordable for developers to add highly accurate AI to their embedded devices and thereby enable them to create amazing new products. We combine our on-device Tiny AI software with our cloud-based multimodal LLMs, providing People Detection, Video Search, Familiar Face Identification, AI Captions and more.

Major enterprises deploy our advanced computer vision models on millions of smart home cameras in the field and we’re rapidly expanding into commercial security, retail, assisted living, and more. The best solution runs as much as possible on-device to enable low-power, accurate, and private AI products. This is where Plumerai leads, demonstrating better accuracy even than Google Nest. We are now starting to invest heavily in market adoption.

We build the most accurate and efficient AI solutions by vertically integrating all layers of the stack. From data collection and curation, custom training software, model architectures, multimodal LLMs, pre- and postprocessing, and all the way down to the fastest inference engines. Not only does our team have a deep theoretical understanding about all these components, we also know how to ship fast and often.

Our team is based in London and Amsterdam, we have recently raised funding to provide multiple years of runway, while our recurring revenue is growing rapidly. We are backed by world-class investors such as Tony Fadell (creator of iPod, iPhone; founder of Nest), Hermann Hauser (founder of Arm), Zoubin Ghahramani (Google DeepMind), and others.
Learn more here:
TechCrunch: Tony Fadell-backed Plumerai brings on-device AI to home security cameras
Plumerai raises $8.7M Series A to connect Vision LLMs to trillions of edge devices.

We are looking for an AI Research Engineer that can help us develop state of the art AI products. This can involve anything from improving our training algorithms, training and integrating multimodal LLMs, building our data pipeline, designing new model architectures to using tried and tested ML approaches and coming up with clever algorithms. You will help us build new AI features that will be shipped to millions of camera devices in the field. Together we are building the most advanced AI for embedded devices.

What you will be doing

• We combine our Tiny AI with multimodal LLMs to enable our advanced AI features for our customers. You will use and improve multimodal LLMs to achieve new functionality for our customers and optimize their deployments (cloud and edge).
• Some of our deep learning models are truly tiny - the memory footprint of our smallest computer vision model is just 1MB. You will train and design more accurate models, while also enabling new and more complex AI applications on low-cost and low-power hardware.
• You will improve our data pipeline, model architectures and training software. Sometimes there is relevant literature available, but novel approaches and clever hacks are often required for the problems that we are working on.
• You will use our Kubernetes cluster to deploy PyTorch and TensorFlow training jobs, Snowflake and Dataflow to build datasets, tools like Streamlit to prototype new demos (try one of our live demos here ) and lots of GPUs on GCP for training new models and auto-labeling data.

Requirements

What You Need

• Very strong software engineering skills and proficiency in Python.

• Comfortable with frameworks such as PyTorch, TensorFlow, Keras, or JAX.
• Strong experience with computer vision and multimodal LLMs.
• Experience working in a team on the same software project.

Nice To Have

• Trained neural networks that moved into production.
• Industry experience with efficient inference deployments (cloud or edge).
• Experience with Deep Reinforcement Learning.

Benefits

What we offer

• Competitive salary.
• Generous equity stake in the company.
• Relocation assistance.
• Choose your own laptop.
• 25 days of paid vacation time in addition to bank holidays.
• Ability to attend top research conferences like NeurIPS, ICML and CVPR.

We only consider applicants who are currently based in, or willing to relocate to, London or Amsterdam. We have flexible working hours and work together from our offices on at least 2 fixed days per week.

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

• Conduct cutting-edge research in AI and machine learning, exploring novel algorithms and techniques.
• Develop and implement advanced AI models for complex problems, demonstrating a strong theoretical foundation.
• Design and execute experiments to evaluate the performance of AI models and algorithms.
• Publish research findings in top-tier AI conferences and journals.
• Collaborate with engineering teams to translate research breakthroughs into production-ready AI solutions.
• Stay updated with the latest advancements in the AI field and identify potential research opportunities.
• Mentor junior researchers and contribute to the growth of the AI research community within the organization.
• Develop and maintain high-quality code for AI models and experiments using Python and relevant libraries (TensorFlow, PyTorch, scikit-learn).
• Present research ideas and results to technical and non-technical audiences.
• Contribute to the strategic direction of AI research at the company.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of impactful AI research, evidenced by publications, patents, or significant contributions to open-source projects.
• Deep understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.
• Proficiency in programming languages such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and collaboration skills, especially in a remote setting.
• Experience in areas like NLP, computer vision, reinforcement learning, or generative models is highly desirable.
• Ability to work independently, manage research projects, and drive innovation.
• Experience with cloud platforms (AWS, GCP, Azure) and big data technologies is a plus.

• Lead and mentor a team of AI researchers and engineers.
• Define and execute the AI research strategy and roadmap.
• Design, develop, and implement advanced AI models and algorithms.
• Oversee the entire lifecycle of AI projects, from ideation to deployment.
• Conduct cutting-edge research in areas like ML, DL, NLP, and Computer Vision.
• Ensure the scalability, performance, and efficiency of AI systems.
• Collaborate with product teams to integrate AI solutions into applications.
• Publish research findings and present work at leading conferences.
• Stay abreast of the latest advancements in AI and machine learning.
• Foster a culture of innovation and knowledge sharing within the team.

• Ph.D. or M.S. in Computer Science, Artificial Intelligence, or a related field.
• Significant experience (5+ years) in AI research and development, with proven leadership experience.
• Expertise in machine learning, deep learning, NLP, or computer vision.
• Proficiency in programming languages such as Python and AI frameworks (TensorFlow, PyTorch).
• Strong understanding of algorithm design, data structures, and software engineering principles.
• Proven ability to lead and mentor technical teams.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps is a plus.