Senior Machine Learning Engineer at Faculty | London

Waymo is a pioneering company in the field of autonomous driving technology, dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, Waymo has concentrated on developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver supports our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips and more than 100 million miles driven autonomously on public roads, complemented by tens of billions of miles in simulation across 15+ U.S. states, our experience is unparalleled.The Simulator team is at the forefront of creating cutting-edge simulations of real-world environments for the training and assessment of the Waymo Driver. We leverage machine learning to accurately model the real world, incorporating realistic agents (vehicles, pedestrians, cyclists, motorcyclists, etc.), road systems, traffic controls, and weather conditions. To enhance the precision and flexibility of our simulations, we utilize large foundation models trained on extensive datasets, enabling rapid setup and deployment of multiple scenarios for our driver.Our London-based team collaborates closely with our colleagues in Mountain View and Oxford to develop and enhance these foundation models and integrate them into various evaluation and training products. We are seeking talented research engineers eager to tackle these innovative challenges.In this hybrid role, you will report directly to an Engineering Manager.

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.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Originally initiated as the Google Self-Driving Car Project in 2009, our team has been relentlessly working to enhance mobility access and save lives by developing the Waymo Driver—The World’s Most Experienced Driver™. With over ten million successful rider-only trips facilitated by our technology, which has driven over 100 million miles on public roads and tens of billions of miles in simulations across more than 15 U.S. states, we are shaping the future of transportation.The Simulation ML Infrastructure team is responsible for creating scalable AI/ML infrastructure that propels our Simulator team towards innovative, state-of-the-art simulations of realistic environments for the Waymo Driver's training and testing. By leveraging large foundation models trained on extensive datasets, we enhance the authenticity and control of our simulations, including realistic representations of vehicles, pedestrians, cyclists, roads, traffic control systems, and weather conditions.We are currently seeking a highly skilled Senior Machine Learning Infrastructure Engineer to spearhead the development of advanced AI/ML infrastructure for multi-billion parameter foundation models tailored for ML accelerator-friendly simulations. Your extensive knowledge in massive model scaling, ML accelerators, and distributed training will be vital in designing and optimizing our systems.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has dedicated itself to developing the Waymo Driver—The World’s Most Experienced Driver™. Our goal is to enhance mobility access while preventing the tragic loss of life caused by traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. To date, we've completed over ten million rider-only trips, with extensive experience driving autonomously over 100 million miles on public roads and conducting tens of billions of miles in simulation across more than 15 U.S. states.The Simulator team is responsible for creating cutting-edge simulations that mimic realistic environments to train and test the Waymo driver. Through advanced machine learning techniques, we model real-world scenarios, including realistic agents such as vehicles, pedestrians, cyclists, motorcyclists, and more, alongside roads, traffic systems, and weather conditions. By leveraging large foundation models, trained on our vast datasets, we can rapidly set up and deploy diverse scenarios to challenge our driver.We are excited to establish a team in London, UK, to collaborate with our colleagues in Mountain View and Oxford on enhancing these foundational models and integrating them into various training and evaluation tools. We seek enthusiastic research engineers eager to tackle these groundbreaking challenges.In this hybrid role, you will report directly to an Engineering Director.

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.

Join our dynamic team at comind as a Senior Machine Learning Engineer. In this pivotal role, you will leverage your expertise in machine learning and data analysis to develop innovative solutions that drive our business forward. You will collaborate with cross-functional teams to design, implement, and optimize algorithms that enhance our products and services.

AccuRx seeks a Senior Machine Learning Engineer to join the team in London (Shoreditch). This position centers on creating machine learning tools that help improve patient care and streamline healthcare processes. What you will do Design and build machine learning solutions aimed at supporting healthcare professionals and patients. Work closely with a talented team to develop technology that makes a real difference in healthcare delivery. Collaboration Teamwork is a key part of this role. Regular collaboration with colleagues ensures that the solutions developed are practical and impactful for real-world healthcare settings. Location This position is based in Shoreditch, London.

Why Join Faculty?Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. Over the years, we have partnered with more than 350 global clients, transforming their operations using human-centric AI solutions. Discover our impactful projects here.We prioritize innovation over trends, developing responsible AI that genuinely drives results. Our team offers unmatched expertise in technical, product, and delivery aspects, serving clients across various sectors including government, finance, retail, energy, life sciences, and defense.As our business expands rapidly, we seek individuals who share our intellectual curiosity and aim to create a meaningful legacy through technology.Join us in harnessing AI's potential and making a significant difference in its applications.About Our TeamOur Defence team is dedicated to developing and implementing human-centered AI solutions that provide our nation with a strategic advantage in defense. We collaborate closely with clients to deliver ethical and cutting-edge AI for high-stakes scenarios, ensuring the balance of global power critical to our freedoms.Due to the sensitive nature of our work with Defence clients, you will need to be eligible for UK Security Clearance (SC) and should be prepared to work on-site with these clients 2 to 4 days a week, which may involve travel across the UK.When not on client sites, you will enjoy the flexibility of working from our London office or remotely from any location within the UK.Role OverviewAs a Senior Machine Learning Engineer, you will spearhead the development and deployment of innovative AI systems for a diverse client base. Your responsibilities will include designing, building, and deploying scalable, production-quality ML software and infrastructure that adheres to stringent operational and ethical standards.This position requires a proactive, cross-functional approach, blending technical skills, engineering leadership, and strong client-facing abilities.

Role overview Utility Warehouse is hiring a Senior Machine Learning Engineer in London. This role focuses on building and deploying machine learning models that support business goals and improve customer interactions. The position involves close collaboration with colleagues from different teams to deliver practical solutions. What you will do Design, develop, and implement machine learning algorithms Analyze data to identify patterns and opportunities for automation Work with software engineers and other stakeholders to integrate models into production systems Support decision-making by delivering insights from data-driven models

Join Deliveroo as a Senior Machine Learning Platform Engineer, where you'll play a pivotal role in shaping the future of our machine learning capabilities. You will work alongside talented engineers and data scientists to build robust and scalable machine learning platforms that drive our business forward. Your expertise will help us leverage data to enhance our services, improve customer experiences, and optimize performance.

Join our dynamic team at Carta as a Senior Machine Learning Engineer II, where you will leverage cutting-edge technology to shape the future of our data-driven solutions. You will play a pivotal role in designing, developing, and deploying machine learning models that enhance our product offerings and drive business impact.

Join PhysicsX as a Senior Machine Learning Infrastructure Engineer and play a pivotal role in shaping our machine learning capabilities. In this position, you will architect, develop, and scale our infrastructure to support advanced machine learning models and applications. Collaborate with cross-functional teams to ensure seamless integration and high performance of our ML systems.

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.

Exciting News! We're thrilled to announce that we've successfully raised $60 million in our Series B funding round, achieving a valuation of $685 million. Learn more about this significant milestone here. At Lawhive, our mission is clear: to democratize access to legal services for everyone. The legal landscape is often hindered by outdated technologies and practices, which is why we've fundamentally reimagined the model, leveraging our proprietary AI operating system as the foundation.As a regulated law firm, Lawhive integrates cutting-edge AI technology to enhance legal expertise and revolutionize the practice of law, delivering outstanding outcomes for both clients and legal professionals.Our innovation hub, Lawhive Labs, embodies this vision. Here, we unite elite engineers, designers, AI specialists, and legal experts from across the globe to shape the future of law.With the backing of prestigious investors like Google Ventures, Balderton Capital, and TQ Ventures, we are poised for international expansion following our recent funding success. Having launched in the US in 2025, we are only at the beginning of our journey.Engineering at LawhiveOur engineering team of 40 talented individuals is dedicated to architecting, developing, and maintaining Lawhive's platform, which is trusted by numerous legal professionals daily across the UK, US, and beyond.In the coming year, we are committed to addressing numerous challenges, particularly:Enhancing the user experience for AI interactions within legal practice, moving beyond conventional chat interfaces to pioneering new methods of human-machine engagement.Integrating modularity and international adaptability into our platform as we build the world’s first global consumer law firm.Our approach to legal services is holistic; we are not just developing software, we are an AI-driven law firm.

Join Synthesia, the world's premier AI video platform used by over 90% of the Fortune 100 companies. Since our inception in 2017, we have established our headquarters in London and expanded our reach across Europe and the United States.As artificial intelligence continues to revolutionize our daily lives and workplaces, Synthesia is at the forefront of developing innovative products that enhance visual communication and foster enterprise skill development, enabling people to excel and remain pivotal in thriving organizations.Following our recent Series E funding round, where we successfully raised $200 million, our company valuation has soared to $4 billion, with total funding surpassing $530 million from esteemed investors such as Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside founders and operators of leading firms like Stripe, Datadog, Miro, and Webflow.We are seeking a talented Senior Machine Learning Platform Engineer to become a vital part of our ML Platform team.In this role, you will be responsible for building and maintaining the systems that empower researchers and product teams to train, serve, and deploy generative models efficiently and reliably. Your responsibilities will span research infrastructure, production serving systems, internal tooling, and the platform interfaces that unify them. A key focus will be on enhancing the automation and agent-oriented capabilities of these systems, allowing workflows to be executed through dependable tools rather than manual processes.We are looking for a well-rounded engineer with a systems-oriented mindset:Someone who has experience in infrastructure, backend systems, and tooling, and has practical exposure to ML systems.This is not a conventional ML Engineer position. We seek individuals who are deeply invested in reliability, scalability, performance, and resource efficiency within complex production settings.This is a hands-on senior individual contributor role with significant ownership over how our ML platform evolves as we scale the number of models, workloads, tools, and teams that depend on it.Key ResponsibilitiesDesign and enhance the platform systems supporting model training, evaluation, and production serving.Construct infrastructure and tools that bolster the reliability, scalability, and cost-effectiveness of ML workloads.Develop internal tools and workflows that are user-friendly for both human operators and automated agents.Collaborate on the architecture that governs the deployment, serving, and operation of models across research and production environments.

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.

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!

Join physicsx as a Senior Simulation Data Engineer, where you'll play a critical role in developing and optimizing simulation data workflows. You will collaborate closely with cross-functional teams to enhance our simulation capabilities and ensure data integrity. Your expertise will be instrumental in driving innovation and improving our processes.

We are seeking a highly skilled Senior Machine Learning Engineer to join our innovative team at Faculty. In this role, you will be responsible for developing and implementing cutting-edge machine learning models and solutions that drive our projects forward. You will collaborate closely with data scientists and analysts to transform complex datasets into actionable insights and scalable solutions.Your expertise will play a crucial role in enhancing our products and services, and you will have the opportunity to work on exciting projects that challenge the status quo. If you are passionate about machine learning and eager to make a significant impact, we want to hear from you!