416 AI Research jobs in the United Kingdom

Arondite is a defence technology company building the foundational software and AI to power the autonomous age. Our aim is to revolutionise the way organisations collaborate with sensors, robots and autonomous systems and use the data they generate. We are driven by our determination to help defend our collective democratic values and by our strong belief that an elite group of engineers can make a big difference. We are ambitious, well-funded and building for the long-term.

You will join Arondite at a pivotal moment in the company’s journey. Our company is being built by exceptional engineers - people who find high-impact and technically challenging work engaging and exciting, and who consistently deliver outsized impact. You will collaborate with other brilliant minds to solve some of the world’s hardest and most important problems.

You will have ownership and autonomy from Day One. There is no corporate ladder at Arondite. From your first day, you will directly influence the design, functionality, and direction of Arondite’s product offering. We hire the best people and give them extremely high levels of autonomy; the sky is the limit for an individual with the right ambition.

If you are motivated by our mission and if you want to be part of a growing team of outstanding people, then we want to hear from you.

Arondite is looking for an experienced lead AI research engineer to provide direction to Arondite’s growing AI capability. You should have previous experience developing AI-based solutions in a fast-paced commercial environment, as well as in building and managing a team of high-quality AI engineers. You will also be expected to personally contribute to the implementation of AI solutions.

These solutions will likely include AI/ML models that are integrated into our core software product, as well as those deployed on edge devices including drones and ground robots. The role will also encompass addressing the wider practicalities and challenges in implementing AI-based systems, including obtaining training data, addressing ethical concerns and explaining model behaviours.

As a leader within the AI team at Arondite, you will shape how we exploit the AI revolution, both as part of products and to accelerate our internal processes.

You should have the following:

• Previous experience in managing other AI engineers and building engineering teams.
• MSc in computer science, artificial intelligence, machine learning, robotics or a related engineering field
• The ability to architect and write maintainable code in Python, Rust, C++ or Java
• At least 5 years of relevant experience researching and applying modern ML in areas such as scene understanding, multi-modal sensing, control and path planning, live language models and vision-language understanding
• Strong written and verbal communication skills to communicate your ideas effectively and present them to relevant stakeholders and users
• A passion for identifying and implementing pragmatic solutions to hard problems using AI and conventional algorithms

Ideally, you would also have:

• PhD in computer vision, machine learning, robotics, or a related field
• Authored publications in top-tier journals and conferences (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS, TPAMI)
• Experience working with MLOps infrastructure or deploying AI models to production, including the associated monitoring, testing and quality assurance (QA)
• An understanding of different sensor modalities, their trade-offs, and relevant methods for processing their outputs to drive performance in challenging scenarios
• Created and optimised state of the art AI models for resource-constrained hardware
• Experience with synthetic data generation or simulation, or collection and management of large real-world datasets

Note: We want Arondite to bring together individuals from diverse backgrounds and perspectives. We don't expect everyone to have experience across each of these areas. Please apply even if you only partially fulfil this list.

Security clearance

We believe in working closely with defence customers. As a result, this role will require the individual to hold a clearance or be willing to undergo UK security vetting to Security Check (SC) or above. This normally requires having continuous residency in the UK for at least 5 years.

Office vs Hybrid working

We are focused on building a positive, collaborative engineering-driven culture. We therefore believe in making the office a friendly, comfortable and fun place to be, and we try to work from the office where possible. Of course, there are times when it makes sense for you to work from home and that's OK. You may also need to travel to visit customers, depending on your role. But in general you should only apply to join Arondite if you're excited to come into the office and work in person by default.

Application process

Generally, our interview process is comprised of the following stages:

1. CV submission with initial questions
2. Introductory Teams call (30 mins)
3. In-person technical interview (1-2 hours)
4. Final interview with one of Arondite’s Founders (30 mins)

• Highly competitive base salary
• Generous equity in EMI share options in a well-funded and growing startup
• 7% employer pension contribution
• Free breakfast and lunch every day; free pizza and beers weekly
• Private health and dental insurance
• Cycle to work scheme
• Relocation support
• Visa sponsorship for extremely strong candidates
• Access to any resources, equipment and training that you need to do your job in a world-class way
• The opportunity to work with and learn from exceptional colleagues with excellent academic experience and deep industry knowledge

Location: In person, Central London, 4-5 days in office

Type: Full-Time

NB: We are able to sponsor visas

Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial institutions handle AML reviews, while cutting operational costs by 80%.

As the AI Research Engineer , you’ll play a pivotal role in building and iterating on LLM-based and agentic features of our AI-powered compliance platform such as document fraud detection and web due diligence. You will also develop systems to automate the testing and improvement of our solution such as evals, prompt optimisation, and fine-tuning models.

As an AI Research Engineer, you will:

• Build and maintain LLM-based and agentic product features, including rigorous evaluation, benchmarking and backtesting.
• Create systems that can improve over time based on feedback from humans in the loop, such as prompt optimisation and fine-tuning.
• Explore applications of the latest developments of AI to enhance our product features, explainability, speed and accuracy.

• AI features: Use the latest in LLMs, agents and computer vision to build systems that are faster, more thorough and more accurate than humans.
• Evals: Build benchmarks, evaluate backtests and analyse results to quantify our performance and prevent regressions.
• MLOps: Ensure that we maintain good practices around collecting and managing datasets, backtests and benchmarks to maximise development velocity
• Prompt Engineering: Develop and test prompts to optimise model performance and deliver high-quality outputs.
• Model Fine-Tuning: Adapt and fine-tune large language models and vision models for specific use cases.
• Custom Model Training: Train and deploy bespoke AI models tailored to solve unique compliance challenges.
• Collaboration: Work closely with the engineering and product teams to translate customer needs into actionable AI solutions.
• Iterate: Continuously iterate on our AI systems to improve performance, reduce errors, and deliver value to customers.

1. Own With Urgency

As a startup, delivering value quickly is our superpower. We achieve this by valuing speed and ownership over perfection. We're not afraid to get our hands dirty, experiment, and iterate quickly to achieve our goals, and completely own the outcome.

2. Transparency

We believe in open communication and full visibility across teams and roles. Decisions, successes, and failures are shared openly to foster trust and collaboration.

3. Customer First, Team Second, Self Last

Our priority is creating value for our customers. We then focus on building a supportive, growth-oriented team environment, putting individual needs last to ensure collective success.

• Experience: 3+ years in an AI research or engineering role, with experience building and testing agentic systems.
• Technical Expertise: Hands-on experience with prompt engineering, fine-tuning pre-trained models, and training custom models, including vision models. Experience using TypeScript a plus.
• Product Mindset: Strong understanding of how AI can solve real-world problems, with a focus on customer needs.
• Interests: Ability to stay updated with the latest advancements in AI and apply them effectively.
• Collaboration: Excellent communication skills to work across teams and explain complex AI concepts to non-technical stakeholders.
• Ownership: A proactive, problem-solving mindset with the ability to take full responsibility for projects and outcomes.
• Growth-Oriented: Excited to learn new skills, tackle challenges, and adapt as the company scales.

Be part of an early-stage startup with significant ownership and influence over the AI strategy.

Work on cutting-edge AI technologies that transform how businesses operate.

Collaborate with a passionate, mission-driven team dedicated to innovation.

Work from anywhere in the world for 4 weeks a year, in addition to regular team off-sites.

Competitive salary and equity package, with bi-annual salary review and yearly performance based equity refresh.

If you’re excited to shape the future of compliance with state-of-the-art AI solutions, we’d love to hear from you. Apply now to become an Arvanaut as our AI Research Engineer.

Arva AI is trusted by fast-growing fintechs like Keep to reduce friction, improve compliance outcomes, and unlock scale

About AQEMIA
AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline.

Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology.

Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates—without relying on experimental data.

We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization.

About the team you'll join:

As a Senior AI Research Scientist, you will join one of Aqemia's Drug Discovery Platform AI Teams, composed of 5 AI Researchers, and lead efforts to develop cutting-edge AI algorithms to model protein-ligand systems and predict molecular properties. You will be a hands-on technical expert pushing the boundaries of what AI can do for drug discovery. Your deep knowledge of machine learning, strong coding foundations, and applied experience in model development will play a key role in advancing our Drug Discovery Platform.

You will act as a technical mentor, contribute to high-impact R&D projects, and help integrate innovative AI methodologies into real-world drug discovery applications.

Your Role & Responsibilities

• Lead the design and the technical implementation of novel ML algorithms with a strong focus on deep learning, generative models, graph neural networks, and physics-informed AI to predict molecular properties and protein-ligand interactions
• Take part in cutting-edge research and bibliographic exploration. You'll identify relevant recent publications, benchmark promising ideas, and propose model or pipeline improvements
• Act as a mentor to junior team members, offering guidance on system design, model implementation, debugging, and good coding practices
• Collaborate with AI researchers, computational chemists, and drug discovery teams to translate AI models into actionable scientific insights
• Be deeply involved in coding, from prototyping to deploying production-ready models. You should have a strong software engineering mindset and a passion for writing clean, efficient, and scalable code
• Share best practices in deep learning model development, testing, and reproducibility within the team
• Scale AI models for real-world applications, optimizing model efficiency, interpretability, and generalization to unseen chemical spaces

Must-Have Qualifications:

• Strong problem-solving skills, autonomy and a collaborative mindset
• PhD or equivalent practical experience in Machine Learning, Computer Science, Applied Mathematics or a related field, with at least 8 years of experience
• Strong programming skills in Python and proficiency with Deep Learning frameworks (e.g., PyTorch, JAX, TensorFlow)
• Demonstrated hands-on experience implementing and deploying deep learning models in production or research environments
• Strong scientific rigor, curiosity, and ability to perform bibliographic research and exploratory R&D

Nice-to-Have Qualifications

• Experience in drug discovery, chemistry, or physics
• Experience with physics-informed ML models
• Familiarity with high-performance computing (HPC) and cloud-based ML pipelines

Interview Process

• Screening call with Talent Acquisition (30 min)
• Interview with your future Manager (45 min)
• 1st technical interview: Paper review (1.5 hours)
• 2nd technical interview: Take-home ML case (1.5 hours)
• Interview with VP Platform and co-founders (1 hour each)

Preferred Mindset
At Aqemia, we believe that great science thrives in the right mindset and culture. We are looking for candidates who embody the following principles:

Pragmatic and Impact-Driven
– Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability.

Eagerness to Learn
– A strong curiosity for scientific advancements and a willingness to continuously expand your expertise.

Love for High Scientific Challenges
– Enthusiasm for tackling complex problems at the frontier of AI and drug discovery.

Team-Oriented
– A collaborative spirit, thriving in an interdisciplinary environment.

Humility
– Open to feedback and different perspectives, always striving for improvement.

Aqemia's Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes.

Why Join Us ?
At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team.
Expanding Drug Discovery Pipeline
: Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation. with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.

Interdisciplinary Team
: brilliant talent from tech and life sciences.

DeepTech Recognition
: Part of French Tech 120 and France 2030.

Prime Location
: Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week.

International Environment
: The work language is English - relocation support and French lessons granted if needed.

Strong Financial Backing
: $100M raised from leading European and International investors

Job Requisition ID #

25WD91668

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/

JOB DESCRIPTION

Join J.P. Morgan AI Research, where you'll explore and advance cutting-edge AI research to develop impactful solutions for our clients and businesses.

As an AI Research Senior Associate in J.P. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in AI Agents and contributing to high-impact business applications and the broader AI community. Your role involves formulating problems, generating hypotheses, developing algorithms and models, conducting experiments, and communicating research significance. Your output will result in publications, high-impact business applications, open-source software, and patents.

Job Responsibilities:

• Work on multiple research projects in collaboration with internal and external researchers and applied engineering teams.
• Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build prototypes, and communicate research significance.
• Contribute to publications in AI/ML conferences and journals, high-impact business applications, open-source software, and patents.
• Participate in relevant top-tier academic conferences, organize workshops, and engage with the AI research community to broaden the impact of your contributions.

Required Qualifications, Capabilities, and Skills:

• PhD in Computer Science, Statistics, Engineering, or related fields.
• Programming skills in Python.
• Proficient understanding of fundamental AI and ML techniques (e.g., A*, regularization).
• Practical experience with statistical data analysis and experimental design.
• Curiosity, creativity, resourcefulness, and a collaborative spirit.
• Effective verbal and written communication skills with technical and business audiences.
• Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds.
• Interest in problems related to the financial services domain.

Preferred Qualifications, Capabilities, and Skills:

• Research publications in prominent AI/ML or Software Engineering venues (e.g., conferences, journals).
• Strong expertise in specialized areas such as deep learning (DL) or AI Agents.
• Practical experience with ML platforms such as TensorFlow/Keras, PyTorch.
• Comfort with rapid prototyping and disciplined software development processes.
• Practical software engineering experience in collaborative project settings.
• Hands-on experience developing and using AI Agents in a professional setting.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

J.P. Morgan's Commercial & Investment

Are you interested in a unique opportunity to help shape and deliver the UK National AI Research Resource (AIRR) service? We are looking for a highly experienced and enthusiastic AI Engineer to work on Dawn: ) which is part of the UK AIRR: ) and provides world-leading, AI-specialised computing capacity for public and academic researchers, and small and medium size enterprises. Dawn is now being deployed for use in globally impactful research fields such as clean energy, personalized medicine and climate science and we need your help to develop tools and workflows to drive exploitation of this world leading resource. You will also play a key role in fostering a vibrant community of AI and HPC practitioners, helping to build networks that accelerate research collaboration and knowledge sharing across the UK's research ecosystem.

Who you will be working with

The role is based in the University of Cambridge's Research Computing Services a leading UK National Supercomputing Centre that provides facilities and services to world-renowned scientists, clinicians, and engineers across the UK and beyond. You'll be part of a growing team of specialist AI, Software, and Systems Engineers dedicated to supporting use of Dawn, working with a wide range of stakeholders across multiple disciplines and national institutions.

What you will do

• Leadership: Lead diverse AI projects, adapting your approach to meet the specific needs of clients and teams.

• Community engagement: Lead initiatives to build and nurture the Dawn user community, convening workshops and networking events that bring together researchers from different disciplines and institutions.

• Mentorship: Design and deliver training programmes for both novice and experienced users, creating pathways for skill development within the AI/HPC community

• Community-driven innovation: Facilitate user groups and special interest communities around specific research domains (climate science, healthcare, greener energy, etc.) to drive domain-specific innovation.

What you will have

• Experience of leading and developing a team of highly technical specialists.

• Practical experience with some or all of Natural Language Processing, Machine Learning, Deep Learning and Statistical Modelling techniques. Experience with Large Language Model training and fine-tuning frameworks would be welcome.

• Proficiency in software engineering.

• A good understanding of data structures and algorithms and data-oriented approaches to problem-solving.

• Excellent communication skills and the ability to collaborate with experienced as well as novice clients and stakeholders.

• Experience in community building, user engagement, or developer relations within technical communities.

Alongside a significant knowledge of AI tools and techniques, an interest in working with High Performance Computing is essential but experience is not crucial as long as you have the right attitude and enthusiasm.

What we can offer

• Opportunities to represent the organisation at national and international conferences.

• Budget for community events and professional development activities.

• Connection to a broader network of AI and HPC professionals across the UK and internationally.

• 41 days holiday per year, including