Senior Engineer - Datacenter Server Lifecycle

Join Anthropic as a Data Engineer focusing on safeguards and play a pivotal role in driving the development of innovative AI systems. You will collaborate with cross-functional teams to ensure the reliability and safety of our data processes. This position offers a unique opportunity to shape the future of AI responsibly.

We are seeking a dedicated and passionate Safeguarding Specialist to join our team at Multiverse. In this pivotal role, you will be responsible for ensuring the safety and well-being of our learners, implementing effective safeguarding policies, and promoting a culture of safety within our organization.Your expertise will help us create a safe environment for all learners, enabling them to thrive and succeed. You will work closely with various stakeholders to identify risks and develop strategies to mitigate them.

About AnthropicAt Anthropic, our mission is to develop AI systems that are reliable, interpretable, and steerable. We believe that AI should be safe and advantageous for our users and society as a whole. Our rapidly expanding team consists of dedicated researchers, engineers, policy experts, and business leaders who collaborate to create beneficial AI solutions.About the RoleWe are seeking a Community Lead to spearhead the strategy and execution of our developer and builder community initiatives across the EMEA region. This is an exciting and impactful opportunity where you will take charge of customizing and implementing centrally developed playbooks to suit local markets, executing community activations directly, and discovering new opportunities that foster a B2C2B growth strategy throughout Europe.You will work closely with our central Community team in the US, which oversees program operations, playbook development, and strategic direction. Your primary focus will be on market-specific execution, adaptation, and growth—partnering with EMEA sales, marketing, and product teams to formulate market entry and expansion strategies for community programs while determining the optimal deployment of initiatives based on regional priorities. In addition to adapting existing programs, you will be tasked with identifying and promoting new opportunities, whether that involves innovative formats, partnerships, or activations that address specific needs or gaps in local markets not currently covered by centralized resources.The essence of this role lies in scaling a community flywheel—recruiting and empowering local ambassadors, organizing regular events, and transforming community engagement into tangible business results. Your goal will be to take what has been established centrally and effectively adapt it for key EMEA markets, achieving deeper engagement and faster execution than a remote-first approach typically permits.

The Anthropic Fellows Program in Economics connects researchers and practitioners interested in the economic dimensions of artificial intelligence. Fellows join a community focused on understanding how economic systems interact with new technologies. Program structure Fellows collaborate with established experts and peers, taking part in research that examines the relationship between economic principles and AI development. The program values innovative approaches and practical solutions to real-world economic questions. Research focus Participants investigate how advances in AI influence economic systems, and how economic thinking can inform the development and deployment of AI technologies. The environment supports original research and encourages practical problem-solving. Locations London, UK Ontario, Canada Remote-friendly, United States San Francisco, CA

Join Anthropic as a Software Engineer within our Safeguards Infrastructure team, where you'll play a vital role in developing systems that ensure the safety and ethical use of AI technologies. In this position, you'll be responsible for creating and maintaining robust mechanisms that monitor AI models, prevent misuse, and prioritize user well-being. Your work will include designing infrastructure for data management and evaluation, as well as advancing multi-layered defenses that enhance our safety protocols at scale.

Role overview Checkout.com seeks a CASS Specialist - Associate in Safeguarding for its London office. This position supports the Safeguarding team in maintaining compliance with Client Assets Sourcebook (CASS) regulations. The main goal is to help protect client assets and ensure the company meets regulatory standards. What you will do Work with teams across the business to establish and maintain safeguarding controls for client assets Monitor compliance with CASS regulations and contribute to ongoing oversight Assist in improving internal processes related to safeguarding client funds Professional development This role offers the opportunity to build expertise in financial regulations and safeguarding practices. Working at Checkout.com provides exposure to a specialized area of compliance within the fintech sector, supporting long-term career growth.

About AirwallexAirwallex is an innovative global financial platform that revolutionizes payments and financial management for businesses worldwide. With our proprietary technology and infrastructure, we serve over 200,000 businesses, including notable names like Brex, Rippling, Navan, Qantas, and SHEIN. Our integrated solutions encompass everything from business accounts and payments to spend management and embedded finance.Founded in Melbourne, we take pride in our diverse team of over 2,000 talented professionals across 26 global offices. As a company valued at US$8 billion and supported by esteemed investors such as T. Rowe Price, Visa, Mastercard, and Sequoia, we are at the forefront of shaping the future of global finance. If you're eager to tackle ambitious challenges and make a significant impact, we invite you to join our team.Attributes We ValueWe seek dynamic individuals with a founder-like spirit who are driven by the desire for substantial impact, rapid learning, and genuine ownership. You possess a depth of role-related expertise, are motivated by our mission and operating principles, and are able to act swiftly with sound judgment. Your curiosity drives you to explore deeply, and you effectively balance speed with thoroughness.Collaboration and humility are key to your approach; you transform innovative ideas into tangible products and ensure that tasks are executed effectively from start to finish. You leverage AI to enhance efficiency and problem-solving capabilities. In this role, you'll confront intricate, high-visibility challenges alongside exceptional colleagues, furthering your career as we redefine global banking. If you resonate with this vision, let’s create the future together.The OpportunityWe are excited to welcome a Treasury Safeguarding Manager to our team. This pivotal role will be instrumental in establishing robust payment reconciliation frameworks and safeguarding measures for our global payment processes, ensuring the protection of customer funds and seamless financial operations. You will provide senior management with valuable insights regarding cash positions, compliance with safeguarding protocols, and reconciliation performance, enabling informed risk management and supporting scalable growth, particularly within the UK market.The Manager will collaborate closely with Product & Engineering, Operations, and Legal & Compliance teams to enhance reconciliation tools, implement safeguarding controls, and drive continuous improvement in our financial processes.

Join the prestigious Anthropic Fellows Program, focused on advancing AI Safety. As a Fellow, you will collaborate with distinguished researchers and contribute to groundbreaking projects that prioritize the ethical development and deployment of artificial intelligence.

Anthropic seeks a Research Engineer specializing in Machine Learning, with a focus on Reinforcement Learning (RL Velocity), for its London office. This role supports ongoing AI research and contributes to building advanced machine learning systems. Key responsibilities Work alongside researchers and engineers to solve complex reinforcement learning problems Participate in designing and developing new machine learning models and systems Shape solutions that directly influence Anthropic’s research objectives Collaboration and team environment Join a team of skilled colleagues dedicated to AI advancement. Team members regularly exchange ideas, review each other's work, and support one another to create effective solutions.

Role overview Catch22 is hiring a Safeguarding and Special Educational Needs and Disabilities (SEND) Lead in London. This position shapes the educational experience for young people with SEND, focusing on their safety and support throughout their learning journey. What you will do Work directly with schools and local communities to identify and address the needs of children with SEND. Champion safeguarding practices, making sure every child receives appropriate protection and care. Collaborate with educators and families to build effective support plans for students. Location This role is based in London.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and steerability. The company’s mission centers on making AI safe and beneficial for both individuals and society. The team includes researchers, engineers, policy experts, and business leaders working together to advance responsible AI development. Role Overview: Software Engineer, Safeguards Foundations – Internal Tooling The Safeguards team at Anthropic is responsible for detecting, reviewing, and addressing potential misuse of the company’s AI models. Within this team, the Foundations group develops the infrastructure, platforms, and internal tools that support these safeguards across the organization. This role focuses on improving internal tooling for human review. The work covers case management, labeling workflows, investigative processes, and enforcement interfaces used daily by analysts and policy specialists. Although these tools operate behind the scenes, their reliability and clarity directly affect how quickly Anthropic can spot harmful behaviors, make enforcement decisions, and provide feedback for model training. The position involves close collaboration with Trust & Safety operations, policy, and detection-engineering teams. The goal: turn complex operational needs into robust, maintainable software that supports Anthropic’s safety mission. What You Will Do Enhance and maintain internal tools for human review, including case management and enforcement interfaces Work across the stack to deliver reliable, user-friendly products for internal stakeholders Partner with operations, policy, and engineering teams to understand workflows and translate them into effective software solutions Support the organization’s ability to detect and respond to AI misuse efficiently Location London, UK

Join Anthropic as a Senior Software Engineer specializing in Inference, where you will develop cutting-edge machine learning systems and inference algorithms. You will play a crucial role in enhancing our AI products and ensuring they are reliable and efficient.

Join the prestigious Anthropic Fellows Program, where you'll have the opportunity to delve into cutting-edge research in Reinforcement Learning. This program is designed for individuals passionate about advancing AI safety and developing innovative solutions. As a fellow, you will collaborate with a team of experts, engage in impactful projects, and contribute to a progressive research environment.

About AnthropicAt Anthropic, we are dedicated to pioneering safe, interpretable, and controllable AI systems. Our goal is to ensure that AI technologies are beneficial for users and society at large. We have assembled a rapidly expanding team of passionate researchers, engineers, policy specialists, and business leaders working collaboratively to create advanced AI systems that serve humanity well.As a leader in AI research, Anthropic is committed to developing ethical, powerful artificial intelligence. We aim to align transformative AI systems with human values. We invite you to join our Pretraining team as a Research Engineer, where you will be instrumental in creating the next generation of large language models. This role allows you to operate at the crossroads of cutting-edge research and practical engineering, playing a key part in building safe, steerable, and trustworthy AI systems.Key Responsibilities:Conduct innovative research and develop solutions in areas such as model architecture, algorithms, data processing, and optimization techniques.Independently lead small-scale research projects while partnering with colleagues on larger initiatives.Design, execute, and analyze scientific experiments to deepen our understanding of large language models.Enhance and scale our training infrastructure to boost efficiency and reliability.Develop and refine development tools to improve team productivity.Contribute across the entire stack, from low-level optimizations to high-level model design.

Join Anthropic as a Research Engineer specializing in the Science of Scaling, where you will play a pivotal role in advancing cutting-edge AI technologies. Collaborate with a dynamic team to explore innovative solutions that enhance our understanding of scalability in artificial intelligence systems.

About AnthropicAt Anthropic, we are dedicated to the advancement of safe, interpretable, and steerable AI systems. Our mission is to ensure that AI technologies remain beneficial to users and society as a whole. Our rapidly expanding team consists of passionate researchers, engineers, policy experts, and business leaders collaborating to create cutting-edge AI solutions.About the Role:As a Research Engineer focused on Alignment Science, you will design and execute sophisticated machine learning experiments aimed at understanding and guiding the behavior of powerful AI systems. You are driven by a desire to make AI systems helpful, honest, and harmless, and you recognize the complexities associated with human-level capabilities. This role requires a blend of scientific inquiry and engineering expertise. You will engage in exploratory research concerning AI safety, addressing potential risks associated with advanced future systems (classified as ASL-3 or ASL-4 according to our Responsible Scaling Policy), frequently collaborating with teams focused on Interpretability, Fine-Tuning, and the Frontier Red Team.For insights into our ongoing research, visit our blog. We are currently looking to expand our London team in the following research areas:AI Control: Developing methodologies to ensure that advanced AI systems remain safe and non-threatening in unpredictable or adversarial environments.Alignment Stress-testing: Implementing innovative alignment stress-testing frameworks to evaluate AI system resilience.

Join the Anthropic Fellows Program where you will delve into the exciting world of Machine Learning Systems & Performance. This unique opportunity allows you to work alongside some of the brightest minds in AI research and development, tackling complex challenges and contributing to groundbreaking projects that aim to enhance the capabilities of machine learning systems.

Join Anthropic as an AI Safety Fellow, where our mission is to develop reliable and interpretable AI systems that prioritize safety and societal benefits. This unique opportunity allows you to engage in cutting-edge AI safety research for four months, with guidance from leading experts in the field. You will utilize external infrastructures to undertake an empirical project aligned with our research goals, culminating in a public output such as a research paper. We foster a collaborative environment, connecting you with the broader AI safety research community, and providing generous stipends and resources to support your research endeavors.

About YouLendYouLend is an innovative and rapidly expanding FinTech company, recognized as the leading embedded financing platform for top-tier e-commerce platforms, technology firms, and Payment Service Providers. Our cutting-edge software empowers partners to enhance their offerings by providing customized financing solutions to their merchants under their own branding, all while mitigating capital risk.Backed by EQT, a prominent Private Equity firm, YouLend has achieved remarkable growth, exceeding 100% year-over-year since 2020. Based in London, we also operate across various European countries and the United States, serving renowned partners such as eBay, Amazon, Just Eat, Shopify, and Stripe.Position OverviewWe are on the lookout for a Data Engineer to become an integral part of our expanding Data Engineering & Platform team. This role is pivotal, bridging infrastructure, DevOps, and advanced data tools, with a primary focus on facilitating rapid, secure, and scalable analytics. You will play a crucial role in constructing and scaling a premier data platform that supports a wide array of functions, including dashboards, experimentation, machine learning, and compliance.Key Responsibilities:Develop and oversee the infrastructure for our data platform, utilizing technologies such as AWS, Snowflake, dbt, and Airflow.Design and execute CI/CD pipelines for dbt and various data workflows.Automate data platform operations using Python and infrastructure-as-code tools like Pulumi and Terraform.Collaborate with analytics, machine learning, product, and engineering teams to enhance data solutions.Maintain data quality, lineage, and governance through rigorous testing and monitoring.Utilize cost observability tools to promote efficient platform usage.Qualifications:The ideal candidate will possess the following qualifications:Demonstrable experience with cloud-based data platforms such as Snowflake, Redshift, or BigQuery.Strong proficiency in Python and SQL for automation and analytics purposes.Familiarity with CI/CD processes, particularly in dbt or similar data platforms.Practical experience with Infrastructure as Code (IaC) tools including Pulumi, Terraform, or CloudFormation.Solid understanding of orchestration tools like Airflow.Exceptional communication skills with a history of cross-functional collaboration.Desirable Skills:Experience with AWS services (S3, Lambda, MWAA) and Azure DevOps.Familiarity with monitoring tools such as DataDog.Why Choose YouLend?Recognized as one of the “Best Places to Work in 2024”, YouLend offers a dynamic workplace environment.