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At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

To achieve this objective, we execute the following strategy: We acquire a digital business with untapped potential and make it as successful as we can by leveraging our platform—which comprises our expertise, technologies, data, brand, talents, and company culture. Then, we invest the proceeds into making our platform more powerful, and into acquiring new businesses. Thus, our strategy sees us combine an investor’s attention to capital allocation with the hands-on approach of an operator.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

• Power digital products with AI. Work with product teams to identify high-impact opportunities where AI can transform the user experience for millions—and then build the solutions to make them happen. Drive the process from possibility to production, delivering code that’s robust, reproducible, and built for scale.
• Explore ways to push the boundaries of our AI capabilities. Stay at the bleeding edge of AI by investigating new models, techniques, and research. Learn fast across new domains, share findings with the team, and turn breakthrough ideas into production systems that deliver real-world impact.
• Refine data foundations for exceptional results. Own the full data lifecycle—from acquisition and labeling to loading and management—to ensure our models are trained on clean, high-quality datasets that power top-performing systems.
• Own your impact, end-to-end. Set smart priorities, manage execution, and consistently deliver high-quality results, even in ambiguous or fast-changing environments. Balance technical depth with strong ownership, growing your skills while delivering meaningful contributions.

• Reasoning ability. Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
• Drive. You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
• Team spirit. You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
• Proficiency in English. You read, write, and speak proficiently in English.

• Incredibly talented, entrepreneurial teams. You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
• An exceptional opportunity for growth. We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
• Competitive pay and access to equity in the company. Typically, we offer an individual at the start of their career a salary of £66,779 in the UK and €63,965 elsewhere. If they possess a few years of relevant experience, the salary on offer tends to be between £10,389 and 49,636 in the UK, and €05,737 and 3,330 elsewhere. Pay grows rapidly as you accumulate experience and translate it into greater impact. You can also receive some of your pay in company equity at a discounted price, thus participating in the value creation we achieve together. If relocating to Italy, you may enjoy a 50% tax cut.
• All. These. Benefits. Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.

Bending Spoons is a demanding environment: We’re extremely ambitious and we ask a lot of ourselves and one another. While this tends to lead to fantastic learning, achievements, and career growth, it also requires a significant commitment. So if you like the role and are ready to give your very best, don’t hesitate to apply.

If you pass our screening, we’ll ask you to take on a few tests that assess how you approach unfamiliar problems. If you’re successful with those, we’ll invite you to a series of interviews.Bending Spoons is an equal opportunity and affirmative action employer. We consider for employment any applicant and we provide reasonable accommodations for an applicant with disabilities, which can be requested through this form .Studies suggest that women tend not to apply for a job if their CV isn’t a perfect fit. Here, talent takes precedence over experience. So if you like the role and think you could be awesome at it in time, go ahead and apply.

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

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

5 days ago Be among the first 25 applicants

Direct message the job poster from Harnham

BOUTIQUE RESEARCH, CONSULTING

OLD STREET, ONSITE (4 DAYS)

The Company:

Harnham have exclusively partnered with one of the second fastest-growing boutique research consultancies in the UK. They are looking for a qualitative research professional to join their expanding AI team.

The Role:

As a Qualitative AI Research Lead you will be responsible for the following:

• Advancing the quality of the AI co-worker’s qualitative AI research across a range of consumer use cases.
• Helping self-serve customers get value from the product: you’ll be the product expert and an expert consumer insight consultant to the customer as they begin their journey.
• You’ll help shape the product by collaborating directly with the Product and Engineering teams, helping challenge their AI product to truly feel like working with an experienced human researcher.
• You’ll work with the CEO and Head of Growth supporting on late-stage deals and then be the customer’s main day-to-day contact point from the initial onboarding and onwards. You’ll also own your own new business opportunities outright.

Skills and Experience:

• You’re an expert, authoritative consumer researcher with strong qualitative research experience across a range of qualitative techniques, excited about building a new way of doing qualitative research. You know how to translate a client’s business objective into a highly impactful first product experience and insight.
• 4-7 years of customer success or consumer insight experience and you can point to examples where you have gone above and beyond for clients or other stakeholders.
• Excited to sell to customers and lead demos on your own from an early stage.
• Excited about the potential of AI, and to collaborate with our Product & Engineering teams creating the AI coworker, using your domain expertise to inform how they design, run and analyse consumer research using AI.
• Keen to get hands-on experience in shaping AI systems, including testing and feeding back consumer experience on their system to improve its knowledge and effectiveness.

The benefits:

As a Qualitative AI Research Lead you can earn up to a base of £65,000 + plus an aggressive benefits package.

How to apply:

Please register your interest by sending your Resume to or via the Apply link on this page.

Mid-Senior level

Full-time

Research

Market Research

Key Responsibilities

• Lead AI Research & Development: Drive the R&D of emerging technologies, and move beyond hype to identify tangible value for our business and clients.
• Architect and Build Advanced Prototypes: Lead the hands‑on development of sophisticated AI prototypes, particularly focusing on agentic systems, automation platforms, and novel applications of Large Language Models (LLMs).
• Drive Technical Adoption: Analyse and drive the evolution and internal adoption of our AI infrastructure and tooling.
• Thought Leadership & Evangelism: Act as a thought leader within TFG. Translate complex AI concepts and the implications of your experiments for diverse audiences, from junior engineers to the C‑suite. Mentor other team members, fostering a culture of curiosity and excellence.
• Defining Pathways for Integration: Collaborate with cross‑functional product and engineering teams to chart a path for successful prototypes to become scalable, integrated solutions within our core products.

We are seeking a visionary and experienced Senior AI Engineer with a growth mindset to be a foundational pillar of our new AI Engineering team in TFG Labs. This is a role for a strategic thinker and a hands‑on builder who is obsessed with the rapid advancements in AI. You will be our go‑to expert on emerging AI paradigms, from agentic workflows to multi‑modal systems, and will be empowered to drive our R&D roadmap. Your primary mission is to architect and prototype the next generation of AI‑powered tools that will give TFG and our clients a definitive competitive edge.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of hands‑on experience in a dedicated AI/ML engineering role, with a demonstrable track record of building and shipping complex systems.
• Expert‑level proficiency in Python and its core AI/ML libraries (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex), and comfortable transitioning to a ‘pilot’ role using AI tools to amplify your productivity.
• Proven experience designing, deploying, and managing scalable AI solutions on at least one major cloud platform (AWS, GCP, Azure).
• Solid understanding of MLOps principles and experience with relevant tools (e.g., Docker, Kubernetes, MLflow) for building robust, production‑ready systems.

• Are at the bleeding edge of AI: You don’t just follow the news; you’re ahead of it. You actively follow research from top labs (OpenAI, DeepMind, Anthropic), experiment with open‑source models the week they drop, and can articulate the architectural nuances between them.
• Are an architect of intelligent agents: You have hands‑on experience designing and building agentic AI systems. You understand how to orchestrate multiple models, tools, and memory to perform complex tasks and are familiar with architectures like the Model‑Control‑Perception loop or similar multi‑agent frameworks.
• Are a master of the modern AI toolkit: You were an early adopter of GitHub Copilot and have since graduated to tools like Cursor or building your own custom developer automation. You intuitively use AI to achieve a 10x developer workflow and can evaluate new tools for team‑wide adoption.
• Are a clear communicator and educator: You can demystify complex AI concepts. You can confidently explain to a non‑technical stakeholder why an LLM hallucinates or why “2+2” might not always equal “4” in a probabilistic model, tailoring your explanation to the audience.
• Are passionate about the application: You have a genuine interest in sports. You understand that our clients’ businesses run not just on data, but on a deep‑seated passion for the game. Creative taste is a significant bonus.

TFG Labs is the innovation arm of Twenty First Group, dedicated to pioneering AI‑driven solutions that redefine the future of sports. We focus on developing groundbreaking technologies that enhance decision‑making, performance analysis, and fan engagement across the sports industry. As a senior member of the Labs team, the research experiments you conduct will shape how the future of AI and sports intersect.

• A pivotal role in shaping the AI strategy of a leader in the sports intelligence industry.
• Significant autonomy and the budget to explore bold ideas and cutting‑edge technologies.
• The opportunity to work on genuinely novel problems with a world‑class, collaborative team.
• Competitive salary, comprehensive benefits package.
• A flexible hybrid working model and a healthy dose of sports‑related fun.

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

• 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

• 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 domain(s)

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 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.

We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:

Are you an existing contractor or consultant with Autodesk?

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