Staff Machine Learning Engineer at Deliveroo | London

Join Our Team as a Staff Machine Learning EngineerBecome an integral part of Deliveroo’s mission to revolutionize the shopping and dining experience with a focus on impact, innovation, and growth. Our talented Engineering teams tackle intricate technical challenges within a global, three-sided marketplace, developing and scaling systems that cater to million…

Join our dynamic team at bjakcareer as a Staff Machine Learning Engineer. In this role, you will be responsible for designing and implementing innovative machine learning solutions to tackle complex problems. You will collaborate with cross-functional teams and contribute to the development of cutting-edge technologies that enhance our services.

Role overview The Staff Machine Learning Engineer at AccuRx will work onsite in London (Shoreditch). The main focus is on creating and deploying machine learning models that help improve patient care and make healthcare workflows more efficient. This work aims to benefit both patients and healthcare professionals. What you will do Design, build, and deploy machine learning models for healthcare use cases Collaborate with engineering, product, and clinical teams to shape solutions Contribute to projects that influence patient outcomes and support healthcare providers

Join Our TeamLatent Labs is on the lookout for a talented Machine Learning Research Engineer with extensive expertise in training and deploying large-scale generative models. In this pivotal role, you will oversee our high-performance computing infrastructure and drive our model serving initiatives. You will collaborate with a diverse team of machine learning experts, protein engineers, and biologists, all dedicated to transforming how we manipulate biological systems and develop innovative treatments for diseases.About Latent LabsAt Latent Labs, we are pioneers in creating advanced models that grasp the core principles of biology. Our team, which once co-developed DeepMind's groundbreaking AlphaFold and invented latent diffusion, is committed to scientific rigor and ambitious exploration. By joining us, you will work alongside some of the most brilliant minds in the fields of generative AI and biology, fostering a culture of collaboration and continuous learning between our London and San Francisco offices.We seek innovators who are passionate about solving complex problems and making a positive impact on the world. Be a part of our ambitious mission!

Waymo, a pioneer in autonomous driving technology, is dedicated to becoming the world’s most trusted driver. Since its inception as the Google Self-Driving Car Project in 2009, Waymo has been at the forefront of innovation, developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility while significantly reducing the number of lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable to various vehicle platforms and applications. With over ten million rider-only trips completed, fueled by our experience of autonomously driving over 100 million miles on public roads and tens of billions of miles in simulation across more than 15 U.S. states, we are transforming transportation.The Driver Understanding and Evaluation (DUE) team at Waymo is focused on creating comprehensive metrics to evaluate the Waymo Driver’s behavior in real-world scenarios. We are developing advanced technologies such as context and scene analysis to enhance our driving understanding, as well as augmenting real-world driving data to generate rare driving events. This includes building large-scale data infrastructures and improving components like agents and realistic simulators, which are pivotal for our technical strategies and methodologies in assessing the Waymo Driver's performance.The DUE Machine Learning team will develop and maintain scalable machine learning systems and simulation workflows, enhancing evaluation processes and developer onboarding experiences. By merging expert human insights with cutting-edge machine learning models, we will provide training and evaluation data across hundreds of metrics and components that define the Waymo Driver. We are seeking passionate researchers and software engineers eager to harness machine learning techniques to elevate the evaluation systems within our autonomous vehicles, driven by a relentless pursuit of performance improvement.This position reports to the Engineering Manager.

Join our dynamic team at Spotify as a Staff Machine Learning Engineer, where you will be at the forefront of developing innovative AI solutions that enhance user experiences. In this role, you'll collaborate with cross-functional teams, leveraging your expertise in machine learning algorithms and data analysis to drive impactful projects.Your responsibilities will include designing and implementing machine learning models, optimizing algorithms for performance, and conducting research to stay ahead of industry trends. You will also mentor junior engineers, fostering a culture of knowledge sharing and continuous improvement.

About EDITEDEDITED is the premier AI-driven retail intelligence platform globally, empowering the most successful brands and retailers with the ability to make real-time decisions.By seamlessly connecting internal business data with external market insights, EDITED integrates intelligence into every retail decision. Our solutions help retailers enhance their margins, boost sales, and achieve superior business outcomes through AI-powered market and enterprise intelligence that propels automation.At EDITED, we cultivate a vibrant and inclusive culture where creativity flourishes, and collaboration is fundamental to our success. Our dynamic and supportive environment encourages team members to take initiative, innovate, and grow continuously. We prioritize diversity, transparency, and a shared commitment to excellence, fostering a workplace where every voice is valued, and contributions are celebrated.We understand that a healthy work-life balance is essential for driving innovation and success. Our flexible working arrangements—including hybrid working, flexible hours, and a work-from-anywhere policy—enable our team to perform at their best.

Join sona as a Senior Machine Learning Engineer, where you will play a pivotal role in developing cutting-edge machine learning models to drive innovation and enhance our products. You will collaborate with cross-functional teams to leverage data and create impactful solutions that meet our customers' needs. Your expertise will guide the design and implementation of algorithms, ensuring high performance and scalability.

At Orbital Materials, we harness the power of AI to revolutionize data center hardware, ensuring our products consistently outperform the competition. Our advanced AI simulates materials at the atomic level, allowing us to evaluate millions of hardware configurations in the time it would typically take to assess just hundreds. This innovative approach enables us to discover optimal designs that surpass traditional benchmarks, resulting in hardware specifications that competitors cannot match: 1 MW/rack, PUE As each deployment generates valuable field data, our AI models become increasingly sophisticated. This creates a virtuous cycle where improved models lead to better hardware, which in turn enhances our AI capabilities. We are not merely benefitting from AI advancements; we are actively driving its pace.Our focus on data centers is driven by an urgent market need and demanding specifications. However, the AI-accelerated development processes we've established—spanning materials discovery, hardware design, and manufacturing optimization—are applicable to any complex physical system. Data centers serve as our initial proof point, not the limit of our ambitions.With operations in London, Canada, and the USA, we are assembling teams across various domains including ML research, product development, mechanical engineering, and chemical engineering. If you're eager to work at the intersection of AI and physical sciences, we'd love to hear from you.As a Staff Machine Learning Engineer at Orbital, you will be instrumental in architecting sophisticated AI systems for the multi-scale design of physical technologies. By multi-scale, we mean that we create world-class foundational models capable of simulating everything from the microscopic motion of atoms to the macroscopic flow of liquids in 1GW data centers. You will collaborate across these diverse scales, leveraging the creativity of our scientists and engineers, augmented by premier domain agents.In this pivotal role, you will establish exceptionally high technical standards and lead projects from initial prototypes to full-scale production deployment. We seek individuals who possess a passion for craftsmanship, a commitment to continual learning, and a drive to build scalable systems. Additionally, we value a low-ego mindset and a genuine enthusiasm for leveraging AI to tackle significant global industrial technology challenges.

Join our dynamic team as a Member of Technical Staff specializing in Machine Learning. In this role, you will spearhead innovative projects aimed at leveraging machine learning technologies to drive impactful solutions. Collaborate with cross-functional teams to design and implement algorithms that enhance our products and services.

About Graphcore At Graphcore, we are pioneering the next generation of AI computing technology. Our team comprises seasoned professionals in semiconductor, software, and AI, who possess extensive expertise in developing a comprehensive AI compute stack—from silicon and software to large-scale data center infrastructure. As a proud member of the SoftBank Group, we benefit from substantial long-term investment, enabling us to deliver critical innovations within the rapidly evolving SoftBank AI ecosystem. To capitalize on the immense opportunities in AI, Graphcore is expanding its global talent pool. We unite the brightest minds to tackle the most challenging problems in an environment where every individual can significantly influence the company, our products, and the future of artificial intelligence.

Join Faculty as a Lead Machine Learning Engineer to spearhead innovative machine learning projects that drive impactful solutions. In this pivotal role, you will lead a team of engineers and data scientists, harnessing your expertise to develop and implement cutting-edge machine learning models.As a key contributor, you will collaborate closely with cross-functional teams, ensuring alignment with business objectives, and effectively communicating technical concepts to non-technical stakeholders. Your leadership will guide the team in exploring new technologies and methodologies, fostering an environment of continuous learning and improvement.

About UsFounded in the United States in 2022 and now headquartered in London, UK, Recraft is revolutionizing the creative landscape with its cutting-edge AI tool designed specifically for professional designers, illustrators, and marketers. Our platform sets a new benchmark in image generation excellence.Our innovative tool empowers creators to swiftly generate and refine original images, vector art, illustrations, icons, and 3D graphics using AI technology. With over 3 million users across 200 countries, who have collectively produced hundreds of millions of images, Recraft is just at the beginning of its journey.Join us and explore a universe of professional opportunities! Contribute to large-scale projects and help shape the future of creativity. We are dedicated to making Recraft an indispensable daily tool for every designer, setting the industry standard. Our mission is to enable creators to fully control their creative process with AI, equipping them with innovative tools to turn their ideas into reality.If you are enthusiastic about pushing the boundaries of AI, we welcome you to join our team!

physicsx is seeking a Staff Machine Learning Software Engineer to join its Research team in London. This position centers on building advanced algorithms and machine learning solutions to drive forward ambitious research initiatives. Role overview The main focus is on designing and implementing machine learning models that push the boundaries of current technology. Projects will involve exploring new methods and supporting research efforts that aim to solve complex problems. Location This role is based in London, United Kingdom. What you will do Develop and refine machine learning algorithms for research applications Collaborate with researchers to support innovative projects Work on solutions intended to advance the capabilities of existing technology

Join datatonic as a Machine Learning Engineer and be part of a dynamic team dedicated to leveraging data to drive intelligent decision-making. You will design and implement machine learning models, optimize algorithms, and collaborate with cross-functional teams to deliver innovative solutions.

Join datatonic as a Senior Machine Learning Engineer and be a pivotal part of our innovative team focused on transforming data into actionable insights. In this role, you will leverage your expertise in machine learning to develop and enhance algorithms, contribute to data-driven solutions, and collaborate with cross-functional teams to push the boundaries of data analytics.

Step into the future of artificial intelligence with Runware as a Senior Machine Learning Engineer, where you will spearhead the development of groundbreaking AI solutions across multiple media formats, including text, images, videos, 3D, and audio. Our innovative AI media creation platform is designed to transform the landscape of content generation.In this pivotal role, you will oversee essential projects, managing the complete lifecycle from research and experimentation through to production deployment and performance evaluation. Your contributions will be instrumental in enhancing the capabilities of our platform and improving the experiences of users who rely on our state-of-the-art AI technologies.Key ResponsibilitiesIntegrate open-source and third-party models into our inference platform.Lead fine-tuning initiatives including LoRA, adapters, PEFT, and domain adaptation.Optimize inference workloads focusing on latency, batching, memory efficiency, and throughput.Benchmark model quality against cost and performance across various modalities.Enhance inference startup times and stability under heavy load.Develop evaluation frameworks and internal tools for model validation.Collaborate closely with Infrastructure and Backend teams to create scalable serving systems.Monitor production performance and drive continuous optimization efforts.Mentor junior engineers and elevate the ML engineering standards within the team.

Who We Are:At tem, we are revolutionizing the energy transaction landscape, ensuring it is both transparent and equitable.Our mission is to empower customers by addressing one of the most pressing challenges of our time: providing access to affordable electricity.tem was founded to rectify a flawed global energy market that has historically favored legacy operators, intermediaries, and unclear pricing structures. The existing electricity system is not equipped for rapid decarbonization, AI-driven efficiency, or fair access for end-users such as businesses and generators.We have developed the first AI-native transaction infrastructure designed to transform how electricity is bought, sold, and priced. Our innovative technology aims to eliminate inefficient fees, automate complex market transactions, and deliver transparency and fairness in energy dealings at scale.Following our remarkable growth, we successfully closed a $75 million Series B round in late 2025, led by Lightspeed Venture Partners, with contributions from Albion, Atomico, Allianz, Hitachi Ventures, Schroders Capital, and others. This funding positions us for global expansion, deeper product innovation, and leadership in our category.As we scale internationally, we are paving the way for a future where AI-driven infrastructure is foundational to electricity markets around the world.Since our inception, our cutting-edge utility product, known as RED, has successfully facilitated thousands of business customers and billions in energy transaction value, demonstrating that modern software and AI can indeed transform an industry entrenched in outdated systems.At tem, we are not merely creating another energy company; we are reconstructing market infrastructure so that transparency, efficiency, and sustainability become the norm rather than the exception. The Role:Rosso serves as tem's core intellectual property, the transaction infrastructure essential for pricing electricity for thousands of businesses, balancing portfolios in real-time, and being pivotal for every deal that tem concludes. Machine learning is integral to Rosso, intertwining forecasting, optimization, and classical ML techniques to process billions of data points and execute thousands of automated decisions daily. Each inference directly influences the prices our customers experience, allowing you to witness the immediate impact of your contributions.Having validated our concept with MVPs and POCs, we have expanded to claim 2% of the UK market. We are now poised to elevate our efforts and develop a state-of-the-art solution to facilitate our growth in the UK and expand Rosso internationally.

Join Trainline as the Head of Machine Learning Engineering, where you'll lead our innovative machine learning initiatives. In this pivotal role, you will spearhead the development and implementation of advanced ML solutions that enhance our customer experience and optimize our operations.

Join Faculty as a Machine Learning Engineer and be at the forefront of innovation in artificial intelligence. In this role, you will leverage your expertise in machine learning to develop and implement cutting-edge algorithms and models that drive impactful solutions across various industries.As a part of our dynamic team, you will work collaboratively to transform complex data sets into actionable insights, optimizing our products and enhancing client offerings. If you are passionate about technology and eager to make a difference, we would love to hear from you!