Senior Staff Machine Learning Engineer - Content Policy & Safety

Spotify is looking for a Senior Staff Machine Learning Engineer to join the Content Platform team in London. This position centers on building and refining machine learning models that improve how users experience content on the platform. Role overview In this role, you will guide the development of machine learning systems designed to enhance content delivery and boost user engagement. Collaboration is key: expect to work closely with engineers, product managers, and other specialists from across Spotify to deliver solutions that scale. What you will do Lead the design and implementation of advanced machine learning models for the Content Platform Partner with cross-functional teams to identify and solve complex challenges Drive projects that directly impact how users discover and interact with content Requirements Extensive experience in machine learning engineering Strong background in developing scalable ML solutions Ability to work effectively with diverse teams and stakeholders Demonstrated passion for technology and improving user experiences

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.

Join the AI Revolution at Contentful!Be part of an innovative team that is creating powerful AI solutions for numerous active users.At Contentful, you will play a pivotal role in envisioning, developing, and implementing machine learning solutions that immediately enhance our customers' capabilities. We are seeking a highly skilled machine learning engineer with deep expertise in this domain and a solid grasp of contemporary Generative AI trends. If you are enthusiastic about expanding the possibilities of ML products within a large-scale content management system, we want you to be part of our dynamic team.Your Role Will Involve:Ensuring the high-quality delivery of ML workloads for our enterprise clients.Designing, developing, and assessing production software within the Contentful Platform.Conducting targeted research and experimentation using tools such as Jupyter Notebook.Enhancing generative AI products for optimal accuracy, performance, and scalability.Integrating machine learning cloud solutions tailored to large-scale applications.Implementing prompt engineering and fine-tuning to cater to specific customer needs.Building software that can scale to accommodate high-demand workloads.Leading design reviews with peers and stakeholders to evaluate technology options.Promoting ML education within the team and establishing high-quality standards and accountability.

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:

About AIONAION is pioneering an interoperable AI cloud platform that is set to revolutionize high-performance computing (HPC) through its innovative decentralized AI cloud. Designed specifically for bare-metal performance, AION democratizes access to computational resources and delivers managed services, positioning itself as a comprehensive AI lifecycle platform—facilitating organizations from raw data to deployed models through its forward-deployed engineering approach.The global business landscape is undergoing a seismic transformation due to AI, with a skyrocketing demand for computational power. AION aspires to be the gateway for dynamic compute workloads by forging integration bridges with various data centers globally and re-engineering the compute stack with its cutting-edge serverless technology. We recognize the challenges enterprises face in balancing AI adoption with security needs and are committed to ensuring robust enterprise security and compliance by redesigning every aspect of our infrastructure, from hardware and network packets to API interfaces.With a leadership team that boasts high-caliber founders and significant venture capital backing, AION is establishing its core team across India and the UK while being headquartered in the US.Who You AreYou are a proactive ML engineer with 4-6 years of experience in developing and fine-tuning large language models (LLMs) and transformer-based architectures. You possess a strong focus on execution and enjoy tackling complex challenges at the intersection of machine learning research and production systems.Your expertise spans the entire ML development lifecycle—from data preparation and model fine-tuning to rigorous evaluation and optimization. You have a deep understanding of what drives model performance and how to systematically enhance model quality through experimentation. Familiarity with LLM fine-tuning (LoRA, QLoRA), RLHF pipelines, and comprehensive model evaluation is highly desirable. You exhibit strong ownership and initiative, coupled with a passion for developing production-ready ML models that have a global impact on thousands of developers.

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 Contentful as a Senior Platform Engineer and be part of a dynamic team dedicated to creating scalable and efficient software solutions. In this role, you will leverage your expertise to enhance our platform, ensuring optimal performance and reliability. You will collaborate closely with cross-functional teams, driving innovation and excellence in our engineering practices.

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.

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.

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 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 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.

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.

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.