Senior Software Engineer, Simulation Machine Learning Infrastructure

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 succ…

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.

At Thought Machine, we are on a mission to revolutionize the banking industry by eliminating outdated legacy technology. Our innovative core and payments technology operates natively in the cloud, setting the foundation for modern banking. Achieving our ambitious goals requires exceptional talent collaborating to create groundbreaking technology.Having expanded rapidly, our team now includes over 550 professionals across offices in major cities like London, New York, Singapore, Sydney, and our newly established Engineering Hub in Lisbon. With more than £500 million raised in funding from esteemed investors such as Molten Ventures, Eurazeo, and JPMorgan Chase, we are well-positioned for continued growth.Our workplace culture is designed to foster creativity and productivity, and we take pride in being recognized for our outstanding employee experience. Sifted magazine has acknowledged us for having one of the highest Glassdoor ratings among UK fintech companies, and we offer one of the industry's most generous employee share packages. Additionally, we have been honored by Global Finance Magazine as one of the world’s most innovative fintechs and recognized by the Financial Times as one of Europe’s fastest-growing companies for two consecutive years.In the role of Senior Software Engineer specializing in Infrastructure, you will be pivotal in deploying and maintaining our cutting-edge software solutions. Your responsibilities will include developing tools for integrations with third-party infrastructure components, automating deployment processes, and facilitating infrastructure changes within our data and streaming platforms to support our products. You will also contribute to enhancing the user experience for our engineers and bank Site Reliability Engineers (SREs).DutiesCollaborate with the engineering team to create reliable and scalable applications.Design and implement tools that enhance the scalability and availability of our services, focusing on automation.Develop observability and orchestration tools that empower our clients to manage and monitor their deployments effectively.Contribute to disaster recovery and redundancy strategies, enhancing our overall resilience.Drive improvements in code quality by creating innovative tools and processes.

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.

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.

PhysicsX is looking for a Machine Learning Software Engineer to join its research division in London. This position centers on developing new machine learning solutions in collaboration with researchers and engineers. Role overview The work involves applying advanced algorithms and data analysis techniques to address complex challenges spanning several fields. The team values creative problem-solving and technical depth. Collaboration Expect to work closely with colleagues from diverse backgrounds, combining expertise to create practical and innovative solutions. The environment encourages sharing ideas and learning from each other. Location This role is based in London, United Kingdom.

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.

At Thought Machine, we are on a transformative mission to eliminate outdated technology from the banking sector. Our innovative core and payments technology, designed for the cloud, lays the groundwork for modern banking solutions. This ambitious endeavor requires talented individuals collaborating to create exceptional technology.Having rapidly expanded to over 550 team members across locations such as London, New York, Singapore, Sydney, and our newly launched Engineering Hub in Lisbon, we have successfully raised over £500 million in funding. Our esteemed investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, and Standard Chartered Ventures, among others.We pride ourselves on fostering a vibrant culture that empowers our teams to excel while enjoying the journey. Frequently recognized for our outstanding workplace environment, we have earned top ratings on Glassdoor for UK fintech companies and are acknowledged for offering one of the most generous employee share schemes in the industry. Named by Global Finance Magazine as one of the world's most innovative fintechs and recognized by the Financial Times as one of Europe's fastest-growing companies for two consecutive years, we were also honored as a UK Best Employer for 2026.As a crucial member of our Engineering team, Infrastructure Software Engineers at Thought Machine are responsible for deploying and sustaining our advanced software solutions. This role involves developing tools and integrations with third-party infrastructure components utilized in our clients' environments. Key responsibilities include automating deployment processes, facilitating infrastructure modifications within data and streaming platforms that support our products, and creating a seamless user experience for Thought Machine engineers and bank Site Reliability Engineers (SREs).Key Responsibilities:Collaborate with the engineering team to create reliable and scalable applications.Design and implement tools to enhance scalability and availability of our services, with a focus on automation.Develop observability and orchestration tools to enable clients to monitor and manage their deployments effectively.Contribute to strategies for disaster recovery, backup, and redundancy tooling.Enhance our codebase quality through the development of new tools and processes.

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 Spotify as a Senior Machine Learning Engineer specializing in Policy & Safety, where you will leverage cutting-edge technologies to enhance user experience and ensure compliance with evolving regulations. You will be part of a dynamic team, driving innovation and delivering impactful solutions to safeguard our platform.

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 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 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 Synthesia, the premier AI video platform revolutionizing business communication, utilized by over 90% of Fortune 100 companies. Established in 2017 and headquartered in London, we proudly operate across Europe and the US, driving innovation in visual communication and enterprise skill development.As the landscape of AI evolves, our mission at Synthesia is to enhance how individuals and organizations communicate and learn, positioning ourselves at the forefront of the digital transformation.With our recent Series E funding of $200 million, we are valued at $4 billion, backed by over $530 million in funding from elite investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, as well as the founders of Stripe, Datadog, Miro, and Webflow.Role OverviewYou will play a vital role in developing our innovative Agentic AI Agents, overseeing the secure rollout of your features to our diverse customer base. This involves engaging in two-way communication using advanced conversational AI technology.Your responsibilities will encompass both user experience design and technical challenges, including infrastructure development and machine learning tasks, giving you the opportunity to work with cutting-edge LLMs.You will take full ownership of long-term projects, mastering the ability to decompose complex problems into manageable, iterative steps for delivery and validation.Collaborating closely with the product manager, you will be instrumental in shaping the commercial direction of the product, contributing to ideation and strategic problem-solving.Your role will also involve assessing the impact of your work through our established data pipelines and frameworks, allowing for adjustments based on commercial objectives.You will help steer the long-term vision of our team, ensuring we continuously develop our engineering capabilities to meet future challenges head-on.

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.

Our Mission Dex exists to help people find work that matches their strengths and interests. Too many talented individuals feel disconnected from their jobs, leaving potential untapped. Dex aims to close this gap by using technology to connect people with opportunities where they can thrive. By supporting more people in doing what they love, we hope to build a happier and more productive world. We are beginning this journey by connecting ambitious software engineers with companies that value their skills. About Dex Dex is backed by investors such as a16z Speedrun, Concept Ventures, and angels from OpenAI, Wise, ElevenLabs, and Meta's board. Our team of 12 works out of the Borough of London. We value ambition, directness, and kindness, and look for people who are authentic and proactive. While we support flexible schedules, we typically meet in person around three times each week. Role Overview: Founding Machine Learning Engineer This position centers on machine learning engineering, not research or prompt engineering. A solid grasp of how embeddings represent meaning and how attention affects retrieval is important. Large language models (LLMs) are part of the toolkit, but the focus is on understanding and solving problems at the model level, not just using APIs. The main goal: build a system that can quickly and accurately stack-rank candidates for new roles in seconds. Ownership of the representations and scoring models that power Dex’s ability to match engineers with companies. The matchmaking engine developed will underpin future features, including candidate-focused products, automated outreach, and improved sourcing tools. Strong engineering skills are as important as machine learning expertise. What You'll Do Lead machine learning projects, delivering efficient and reliable systems. Location This role is based in London, with in-person collaboration expected several times a week.