Staff Machine Learning Engineer at Orbital Industries | London

At Orbital Industries, we harness the power of artificial intelligence to revolutionize data center hardware, creating solutions that significantly surpass industry standards. Our innovative AI technology conducts atomic-level simulations of materials and evaluates millions of hardware configurations, identifying optimal designs that set new benchmarks in pe…

At Orbital Materials, we leverage advanced AI technologies to engineer data center hardware that surpasses industry standards. Our AI capabilities simulate materials at the atomic level and evaluate millions of hardware configurations within a fraction of the time traditional methods require. This innovative approach leads to hardware with unmatched specifications: 1 MW/rack, PUE Every deployment contributes valuable field data that refines our AI models. Improved models yield superior hardware, and this cycle of continuous enhancement accelerates our advancements in AI. We are not merely observers of AI progress; we actively influence its trajectory.Our focus on data centers is driven by the urgent market demand and stringent specifications, but our AI-driven development process—covering materials discovery, hardware design, and manufacturing optimization—extends to any complex physical system. Data centers serve as our initial testing ground, not our limit.With operations in London, Canada, and the USA, we are expanding our teams across Machine Learning Research, Product Development, Mechanical Engineering, and Chemical Engineering. If you're eager to explore the intersection of AI and materials science, we want to connect with you.In the role of Staff Machine Learning Researcher, you will design and implement state-of-the-art AI systems for multi-scale physical technology design. Our multi-scale approach involves creating leading foundation models that simulate both the atomic motion of materials and the macroscopic fluid dynamics in 1GW data centers. You will facilitate cross-scale co-design, utilizing the expertise of our scientists and engineers, complemented by industry-leading domain agents.This position requires you to set high technical standards and lead projects from initial prototype stages to full production deployment. We seek a candidate who is passionate about craftsmanship, committed to continuous learning, and adept at building scalable systems. A collaborative spirit and a genuine enthusiasm for applying AI to tackle significant global industrial challenges are essential.

At Orbital Industries, we harness the power of artificial intelligence to create cutting-edge data center hardware that surpasses industry standards. Our innovative AI technology simulates materials at the atomic level, allowing us to evaluate millions of hardware configurations in the time it takes traditional methods to assess only hundreds. This leads to the development of optimal designs that are unmatched in performance.Each deployment generates valuable field data that continuously enhances our AI models. This cycle of improvement means that as our models become more sophisticated, so does the hardware we produce, enabling even more advanced AI capabilities. We are not just passive participants in the evolution of AI; we are actively driving its advancement.Our focus on data centers is driven by the urgency of the market and the demanding specifications of our clients. However, the AI-enhanced development processes we have established—spanning materials discovery, hardware design, and manufacturing optimization—are applicable to any intricate physical system. Data centers serve as our initial proving ground, not the limit of our capabilities.With operations in London, Canada, and the USA, we are assembling teams across multiple disciplines, including machine learning research, product development, mechanical engineering, and chemical engineering. If you are passionate about where AI intersects with material science, we want to connect with you.Role OverviewAs the Engineering Manager at Orbital, you will be responsible for the design and implementation of our internal AI software platform, known as Curie. You will oversee the development of features that integrate materials, engineering, and manufacturing into a cohesive system for our AI agents. Your leadership will set high engineering standards, guide projects from initial prototype to production deployment, and manage a talented software team.We seek individuals who have a passion for craftsmanship, a commitment to continuous learning, and a drive to build scalable systems.

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 millions of customers, riders, and partners daily.From advanced real-time logistics to robust infrastructure and marketplace optimization, we create and manage the technology that fuels Deliveroo’s expansive growth.We are seeking a Staff Machine Learning Engineer to join our dynamic London team (working in a hybrid model, 3 days in the office). In this pivotal role, you will design and construct intelligent decision-making systems that operate at a large scale, directly influencing the experiences of consumers, riders, and merchants.Explore our Engineering team and discover our motivations, work culture, and what you can expect as part of our community.Your ResponsibilitiesJoin the Consumer Pricing team to tackle complex pricing challenges at Deliveroo. We are advancing towards dynamic, personalized pricing strategies that take into account consumer behavior, loyalty programs, and real-time market conditions.Your daily tasks will include:Designing and developing high-performance machine learning and optimization systems that guide Deliveroo’s core decisions at scale.Leading the technical advancement of our pricing infrastructure, resolving architectural bottlenecks and integrating enhanced model inputs and decision variables.Creating algorithms to enhance real-time marketplace efficiency, including personalized elasticity models and delivery time forecasts.Collaborating closely with Product Managers and Data Scientists to convert complex business challenges into effective algorithmic solutions.Providing technical leadership across various product domains, identifying and prioritizing high-impact algorithmic enhancements.Mentoring and guiding fellow engineers, elevating technical standards and advancing our machine learning and optimization practices across the company.Qualifications for SuccessThe ideal candidate will possess strong expertise in several of the following areas, along with a desire to grow in others:

Embark on an exciting journey with us as we aim to transform real estate transactions into a seamless, swift, and intelligent process. The real estate market, being the largest asset class globally, still relies heavily on outdated and manual legal procedures. Legal professionals find themselves wading through tedious documents, while clients expect quicker and more transparent due diligence. Enter Orbital Copilot, our AI-powered assistant tailored for commercial real estate law. Created in collaboration with experienced real estate lawyers, it enhances complex due diligence processes by up to 70%, all while maintaining legal-grade accuracy. With a recent infusion of $60 million in Series B funding, we are poised for rapid expansion in the UK and US markets. Leading firms like Goodwin and BCLP trust us to eliminate redundant tasks, empowering legal teams to concentrate on delivering expert legal advice, exceptional client service, and closing deals more efficiently. Joining Orbital means becoming part of a dynamic team that is reshaping the future of real estate transactions—where speed, collaboration, and the ability to make a significant impact from day one are paramount.Your RoleAs a Senior Software Engineer, you will create innovative tools that revolutionize the transfer of the world’s largest asset class. We are shifting property transactions from manual document reviews to an automated AI solution that operates with the mindset of a real estate lawyer.Your contribution will not be limited to executing builds; you will leverage your expertise to guide product development and lay the groundwork for our next phase of growth, offering you real influence over our creations.Key ResponsibilitiesDevelop and deploy production software, transforming concepts into dependable customer-facing features.Collaborate with a close-knit team of engineers to design and implement new functionalities.Utilize AI coding agents to generate, iterate, and refine high-quality production code.Engage with a technology stack that typically includes TypeScript, React, PostgreSQL, and Python, while reviewing and guiding code produced by AI agents.Contribute to technical design and architecture decisions.

Join us on our mission to revolutionize real estate transactions, making them smarter, faster, and more seamless. The real estate sector is the largest asset class globally, yet its legal processes are still slow, manual, and underfunded. Lawyers often find themselves sifting through complex documents and fragmented information, all while clients demand quicker and more transparent due diligence. That’s where we come in. Orbital Copilot is an AI-powered assistant crafted specifically for commercial real estate law. In collaboration with experienced real estate lawyers, we’ve designed a tool that accelerates intricate due diligence processes by up to 70%, ensuring legal-grade accuracy. We have recently secured a $60 million Series B funding round to expedite our expansion in the UK and US markets. Our trusted partners include leading law firms such as Goodwin and BCLP, who rely on us to eliminate mundane tasks, allowing their legal teams to focus on delivering exceptional client service and expediting deal closures. At Orbital, you will be part of a dynamic team that is redefining the future of real estate transactions—embracing speed, collaboration, and empowerment from day one.Role Overview We are seeking our second Site Reliability Engineer to enhance our platform and reliability initiatives. This position presents an exciting chance to design, implement, and oversee our infrastructure, CI/CD pipelines, and production operations from scratch. You will have the autonomy to shape our technological framework, establish best practices, and develop scalable systems that will lay the groundwork for our future engineering endeavors. If you thrive in a startup culture and enjoy the intersection of software engineering, operations, and infrastructure, we invite you to connect with us.Your Responsibilities Include: ‍ ‍Infrastructure Management:Design and maintain a robust, cloud-based infrastructure on Azure.Develop and manage infrastructure as code (IaC) using tools like Terraform.Take ownership of our system’s reliability and scalability, establishing a solid foundation for our engineering environment.Container Deployment and Orchestration:Manage deployment and orchestration of containerized applications, ensuring efficient performance and reliability.

Join us on our quest to revolutionize real estate transactions by making them smarter, faster, and seamless. Real estate represents the largest asset class globally, yet the underlying legal processes and tools are often outdated, manual, and lacking investment. Legal professionals are burdened with reviewing lengthy documents meticulously while clients insist on quicker, more transparent due diligence. Enter Orbital Copilot, our AI-powered assistant designed specifically for commercial real estate law. Developed in collaboration with experienced real estate attorneys, it accelerates intricate due diligence processes by up to 70%, all while ensuring legal-grade accuracy. With a recent successful raise of $60 million in Series B funding, we are poised to expand our footprint in the UK and US markets. Leading firms like Goodwin and BCLP trust us to eliminate tedious tasks, allowing legal teams to concentrate on their core expertise: exercising astute legal judgment, delivering exceptional client service, and closing deals more efficiently. At Orbital, you will be part of a dynamic team reshaping the real estate transaction landscape—working swiftly, collaboratively, and empowered to create a meaningful impact from day one.Key Responsibilities: Design AI-driven products where smart systems are essential, enabling teams to accelerate their work and tackle significant challenges. Take ownership of the entire product development cycle, from concept to deployment, transforming ideas into tangible products for our users. Test cutting-edge AI models and translate innovative capabilities into actionable, production-ready applications. Rapidly prototype and validate concepts, confidently coding, testing solutions, and launching early iterations of products. Drive product strategy by collaborating closely with engineers and users to uncover opportunities and address real workflow issues. Continuously refine our product development approach by leveraging AI tools, rapid testing, and contemporary methodologies.Desired Qualifications: A genuine passion for creating products that significantly enhance how people work. A strong interest in AI and a motivation to explore its potential for unlocking new product experiences.‍ A product manager with a background in technology and a proven track record of successfully launching products.

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

Waymo is an innovative leader in autonomous driving technology, striving to be the most trusted driver globally. Originating from the Google Self-Driving Car Project in 2009, our focus has been on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver underpins our fully autonomous ride-hail service and is versatile enough to integrate with various vehicle platforms and applications. With over ten million rider-only trips facilitated and a flawless record of driving over 100 million miles on public roads and tens of billions in simulation across more than 15 U.S. states, our mission is clear.The DUE ML Core London team is responsible for designing and maintaining robust machine learning systems, simulation workflows, and analytics tools aimed at enhancing evaluation processes and developer onboarding experiences. By merging expert human judgment with state-of-the-art machine learning models, we provide training and evaluation data for a multitude of metrics and components integral to the Waymo Driver.We are seeking passionate researchers and software engineers who are enthusiastic about advancing machine learning techniques for evaluation systems and driving performance enhancements throughout our technology stack.

Orbital Industries is at the forefront of harnessing artificial intelligence to revolutionize data center hardware. By employing advanced AI techniques, we simulate materials at the atomic level and evaluate millions of hardware configurations rapidly, resulting in superior designs that leave our competitors behind. Our products come with specifications that are unmatched in the industry.Each deployment helps us gather real-world data that continuously refines our AI models. Enhanced models lead to the creation of better hardware, which, in turn, empowers even more sophisticated AI systems. This self-reinforcing cycle is tightening with every iteration, positioning us as a pivotal force in the advancement of AI technology.Our primary focus on Data Centers addresses an urgent market demand with high performance requirements. However, the innovative AI-driven development process we have established—encompassing material discovery, hardware design, and manufacturing optimization—can be applied to any complex physical system. Data Centers serve as our initial proving ground, not our ultimate limit.With locations in London, Canada, and the USA, we are building diverse teams across machine learning research, product development, mechanical engineering, and chemical engineering. If you're passionate about the intersection of AI and material science, we want to hear from you.Role OverviewAs the Tech Lead Manager at Orbital Industries, you will be responsible for the design and implementation of our internal AI software platform, Curie. A key aspect of your role will involve creating features such as a unified context graph that interlinks materials, engineering, and manufacturing for our AI agents.Your responsibilities will also include providing technical direction and leadership—establishing rigorous engineering standards, overseeing the transition of projects from prototype to full production, and managing a talented software development team.We seek a candidate who possesses a deep appreciation for craftsmanship, a commitment to continuous learning, and the ability to construct scalable systems.

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.

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!

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. With over 350 global customers, we have consistently demonstrated how human-centric AI can transform organizational performance. Discover our real-world impact here.We steer clear of fleeting trends and instead focus on innovating, constructing, and deploying responsible AI that delivers tangible results. Our extensive expertise spans technical, product, and delivery aspects, serving clients across diverse sectors including government, finance, retail, energy, life sciences, and defense.As our company and reputation continue to expand rapidly, we are eager to find individuals who share our intellectual curiosity and ambition to create a meaningful legacy through technology.Join us in harnessing AI's potential to craft powerful applications that can change the world.About Our TeamAt Faculty, our Life Sciences team focuses on developing AI solutions that streamline the research and commercialization processes for groundbreaking therapies. We collaborate with leading pharmaceutical companies, academic institutions, and MedTech startups to create solutions that address pressing healthcare challenges and promote equitable health access.Your Role:As a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for our varied clientele. Your responsibilities will include designing, building, and implementing scalable, production-ready ML software and infrastructure that adheres to stringent operational and ethical standards.This dynamic, cross-functional role requires a unique combination of technical skills, engineering leadership, and client engagement capabilities.Key Responsibilities:Lead the technical scoping and architectural decisions for impactful ML systems.Design and construct production-grade ML software, tools, and scalable infrastructure.Establish and apply best practices and standards for deploying machine learning effectively.

About UsAt Trainline, we are committed to revolutionizing travel by fostering a sustainable future. Our platform empowers millions of travelers to discover and book the most cost-effective tickets across various carriers and fares, utilizing our highly-rated mobile app, website, and B2B partner channels.Join Us on Our Journey As Europe’s leading downloaded rail app, we experience over 125 million monthly visits and facilitate £5.9 billion in annual ticket sales. Collaborating with over 270 rail and coach companies across more than 40 countries, we strive to make travel simple, seamless, eco-friendly, and affordable.As a FTSE 250 company, our diverse team of over 1,000 Trainliners hails from more than 50 nationalities and operates from key cities including London, Paris, Barcelona, Milan, Edinburgh, and Madrid. With a focus on growth across the UK and Europe, now is the ideal time to join us on this exhilarating journey.Elevating Machine Learning & AI at Trainline Machine learning is pivotal to our mission of enabling millions to make sustainable travel choices daily. Within our AI & ML community, we develop and maintain production-grade systems that enhance search, pricing, personalization, and marketing optimization while increasingly deploying intelligent AI agents to transform customer support and journey discovery.You will collaborate with a dynamic team of Machine Learning Engineers and Data Engineers on innovative GenAI initiatives, including our Travel Assistant—an AI-driven tool that assists customers with refunds, journey updates, and ticket conditions, alongside developing Voice AI agents for effective customer query handling.Our team merges robust ML principles with the latest LLM frameworks (LangGraph, LangChain), RAG architectures, MCP integrations, and production monitoring tools such as Braintrust, all deployed on AWS. We foster an environment that values ownership, curiosity, and thoughtful experimentation.Role OverviewIn this role, you will focus on the design, development, and operation of LLM-powered and predictive ML systems in production. You will work on AI systems like our Travel Assistant and Voice AI initiatives while contributing to traditional ML services owned by the team.

asos seeks a Machine Learning Engineer in London to advance technology solutions in online fashion retail. This role centers on building algorithms that enhance both product features and the customer experience. Key responsibilities Design and develop machine learning models for practical use in the retail sector Use data science methods to strengthen asos’s product offerings Collaborate with various teams to boost the efficiency and performance of core systems Role impact Your technical work will directly influence asos’s customers and day-to-day business. The solutions developed in this position help asos maintain a competitive edge as online fashion evolves.

Join Deliveroo as a Machine Learning Engineer and help shape the future of food delivery through innovative technologies. You will be responsible for developing and implementing machine learning models that enhance our services and optimize our operations.In this role, you will collaborate with cross-functional teams to identify opportunities for machine learning applications and work on end-to-end solutions. You will have the chance to work with large datasets, apply advanced analytics, and contribute to impactful projects.

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.

Why Join Faculty?Founded in 2014, Faculty believes that AI is the pivotal technology of our era. We have partnered with over 350 global clients to enhance their performance through human-centric AI. Our impact is tangible, as detailed here.We steer clear of fleeting trends. Our focus is on innovating, creating, and deploying responsible AI solutions that yield significant results. We offer clients extensive expertise across technical, product, and delivery domains, serving industries such as government, finance, retail, energy, life sciences, and defense.Our business and reputation are expanding rapidly. We seek individuals who share our intellectual curiosity and aim to build a positive legacy through technology.Join us in harnessing AI—an epoch-defining technology—where you will be empowered to envision and implement its most impactful applications.About the TeamThe process of delivering medical solutions involves complexity, cost, and risk. Faculty’s Life Sciences team is dedicated to developing AI solutions that enhance the research and commercialization of transformative therapies.We collaborate with leading pharmaceutical companies, academic research institutions, and MedTech startups to create solutions that address critical healthcare challenges, democratizing access to health for everyone.About the RoleAs a Machine Learning Engineer, you will deliver tailored, impactful AI solutions for our diverse clientele. You will play a crucial role in transitioning machine learning from theoretical frameworks to practical applications, contributing to robust software architecture and establishing best practices. Collaborating closely with clients and cross-functional teams, you will ensure the technical feasibility and timely delivery of high-quality, production-ready ML systems.Your Responsibilities:Developing and deploying production-grade ML software, tools, and infrastructure.Creating reusable, scalable solutions to expedite the delivery of ML systems.Working alongside engineers, data scientists, and commercial leaders to address significant client challenges.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the pivotal technology of our age. We have partnered with over 350 global clients, enhancing their performance through innovative, human-centric AI solutions. Discover our real-world impact here.At Faculty, we prioritize sustainable innovation over fleeting trends. Our focus is on developing and deploying responsible AI solutions that truly make a difference. Our expertise spans various sectors, including government, finance, retail, energy, life sciences, and defense, providing our clients with unparalleled technical, product, and delivery proficiency.As our reputation grows, we seek individuals who are intellectually curious and eager to leave a positive mark through technology.Join us in harnessing AI's transformative potential and be a part of a company that empowers you to realize its most impactful applications.About the TeamOur Defence team is dedicated to creating and implementing human-centered AI solutions that enhance our national defense capabilities. Collaborating closely with clients, we deliver ethical and advanced AI solutions for high-stakes scenarios, ensuring the stability of global powers crucial to our freedom.Due to the sensitive nature of our work, candidates must be eligible for UK Security Clearance (SC) and are expected to work on-site with clients for 2 to 4 days a week, which may involve travel across the UK. When not engaged with clients, you will have the flexibility to work from our London office or remotely within the UK.About the RoleAs a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for a diverse range of clients. Your responsibilities will include designing, building, and deploying scalable, production-grade machine learning software and infrastructure that adhere to stringent operational and ethical standards.This role is ambitious and cross-functional, requiring a unique combination of technical acumen, engineering leadership, and strong client-facing abilities.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. Since our inception, we have partnered with over 350 clients worldwide, helping them enhance their performance through human-centric AI solutions. Discover our impact here.We are not swayed by fleeting trends; we focus on developing and implementing responsible AI that truly makes a difference. Our expertise spans technical, product, and delivery domains, servicing clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business continues to grow rapidly, we seek intellectually curious individuals who are passionate about making a positive impact through technology.Join us in harnessing the power of AI and envisioning its most transformative applications.About Our TeamIn our Professional and Financial Services Business unit, we leverage over a decade of Applied AI experience to assist our clients in navigating an ever-evolving landscape. We create and integrate AI solutions that enhance operational efficiency, improve customer experiences, and unlock commercial opportunities in uncertain markets. Within the boundaries of highly regulated industries, we see vast potential for significant innovation and are proud to set the benchmark for combining technical excellence with secure deployment.Role OverviewAs a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for our diverse clientele. Your responsibilities will include designing, building, and implementing scalable, production-ready ML software and infrastructure that adheres to stringent operational and ethical standards.This is a dynamic, cross-functional role that demands a mix of technical prowess, engineering leadership, and strong client engagement skills.Key Responsibilities:Overseeing technical scoping and architectural decisions for impactful ML systems.Crafting and developing production-ready ML software and infrastructure.