71 Deepmind 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

• Conduct advanced research in machine learning, deep learning, and artificial intelligence to identify and develop novel algorithms and models.
• Design, implement, and evaluate machine learning models for applications such as natural language processing, computer vision, predictive analytics, and reinforcement learning.
• Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI models into scalable production systems.
• Process and analyse large datasets, ensuring data quality and relevance for model training and evaluation.
• Develop and maintain robust ML pipelines, including data preprocessing, feature engineering, model training, and deployment.
• Stay abreast of the latest advancements in AI research and machine learning techniques through literature reviews and conference participation.
• Publish research findings in top-tier AI conferences and journals.
• Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
• Present research results and technical strategies to both technical and non-technical audiences.
• Contribute to the strategic direction of the AI and Machine Learning roadmap.

• A PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• A minimum of 5 years of research and development experience in machine learning and AI.
• Proven track record of developing and deploying sophisticated machine learning models in real-world applications.
• Strong programming skills in Python, with extensive experience using ML libraries such as TensorFlow, PyTorch, scikit-learn, and Keras.
• Expertise in statistical modelling, data mining, and algorithm development.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex technical concepts effectively.
• Ability to work independently and collaboratively in a fast-paced, research-driven environment.

Summary

All the details

What’s in it for you

Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.

Here are some of the benefits we offer that make working for M&S just that little bit more special…

• After completing your probationary period, you’ll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
• Competitive holiday entitlement with the potential to buy extra holiday days!
• Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
• A generous Defined Contribution Pension Scheme and Life Assurance.
• A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
• Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
• Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
• Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
• A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.

What you'll do

• Define the Strategy – Shape and lead the technical vision for how M&S will harness AI to drive enterprise-wide productivity and innovation.
• Solve Business Challenges – Apply AI to address real business problems, enabling teams to self-serve insights and solutions wherever possible.
• Build Scalable Solutions – Lead and manage a team delivering AI solutions, whether developed in-house or sourced externally, at scale across M&S.
• Design the Operating Model – Establish a scalable and adaptable operating model encompassing people, processes, and technology to support rapid evolution.
• Drive Continuous Improvement – Champion a culture of steadfast efficiency, embedding AI into every facet of operations to unlock ongoing value

Who you are

• Proactive Attitude – A dynamic, high-energy leader with a contagious enthusiasm for pushing technological boundaries to elevate business performance.
• Visionary Leadership – A seasoned leader with a validated ability to build and lead high-performing AI-focused teams from the ground up.
• Strategic AI Expertise – Deep conceptual understanding of AI within the data landscape, with the confidence to challenge and guide technology decisions that deliver maximum value to M&S.
• Industry Insight – Extraordinarily well-connected to the constantly evolving AI ecosystem, staying ahead of market trends and emerging innovations.
• Collaborative Influence – Skilled at encouraging cross-functional partnerships to unite top talent around solving complex business challenges through AI driven solutions.

Everyone's welcome

We are ambitious about the future of retail. We’re redefining, innovating and leading the industry into a more diligent, inspiring digital era. We’re reconsidering how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.

We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.

If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.

• Lead and conduct advanced research in artificial intelligence, focusing on areas such as deep learning, reinforcement learning, and unsupervised learning.
• Develop novel AI algorithms, models, and methodologies to solve complex scientific and engineering problems.
• Design and execute experiments to validate research hypotheses and measure the performance of AI systems.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with cross-functional teams to integrate AI research into product development cycles.
• Mentor and guide junior researchers and engineers, fostering a culture of innovation and technical excellence.
• Stay abreast of the latest advancements in AI and machine learning, identifying emerging trends and opportunities.
• Present research findings and strategic directions to senior management and stakeholders.
• Contribute to the intellectual property portfolio through patents and internal knowledge sharing.
• Define research roadmaps and project objectives, ensuring alignment with the company's strategic goals.
• Evaluate and benchmark AI models and algorithms for efficiency, scalability, and performance.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a closely related field.
• Minimum of 8 years of post-doctoral research experience in AI/ML, with a strong track record of leading significant research initiatives.
• Deep expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python).
• Extensive experience in one or more core AI areas: deep learning, natural language processing, computer vision, or reinforcement learning.
• Proven ability to design, implement, and evaluate complex AI models.
• Strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and journals.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.
• Experience mentoring research teams or junior scientists.
• Demonstrated ability to work independently and drive research projects from conception to completion in a remote setting.

• Conduct original research into novel AI techniques and algorithms.
• Develop, implement, and optimize machine learning models for various applications.
• Collaborate with cross-functional teams, including engineers and product managers, to translate research findings into tangible products.
• Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for innovation.
• Publish research findings in top-tier academic conferences and journals.
• Mentor junior researchers and contribute to the scientific growth of the team.
• Design and execute experiments to validate and improve AI model performance.
• Analyze large datasets to extract meaningful insights and identify trends.
• Contribute to the strategic direction of AI research within the organization.
• Ensure the ethical and responsible development of AI technologies.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 5 years of experience in AI research and development.
• Proficiency in Python and experience with AI libraries such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of statistical modeling, data mining, and predictive analytics.
• Excellent problem-solving and analytical skills.
• Exceptional communication and interpersonal abilities, with the capacity to explain complex technical concepts to diverse audiences.
• Proven ability to work independently and as part of a collaborative team.
• Experience with large-scale data processing and distributed computing is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) is desirable.
• A passion for innovation and a drive to make a significant contribution to the field of AI.

• Designing and implementing advanced machine learning models and deep learning architectures.
• Conducting rigorous research to address complex AI challenges in areas such as natural language processing, computer vision, or reinforcement learning.
• Developing and validating new algorithms and techniques.
• Collaborating with product teams to translate research findings into practical AI solutions.
• Publishing research papers in top-tier academic conferences and journals.
• Mentoring and guiding junior researchers and engineers.
• Staying abreast of the latest developments in the AI and machine learning fields.
• Managing research project timelines, resources, and deliverables.
• Contributing to the intellectual property portfolio through patents and innovative solutions.