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Engineering jobs in the UK cover a wide spectrum, including roles in civil, mechanical, electrical, and software engineering. Opportunities range from designing infrastructure to developing cutting-edge technology. Engineers may work in construction, energy, aerospace, or IT sectors. Key skills involve problem-solving, technical expertise, and project management. The industry demands adaptability to technological advancements and a commitment to safety standards. Challenges include tight project deadlines and staying abreast of evolving technologies. Despite these challenges, engineering jobs in the UK remain vital for innovation and infrastructure development, offering diverse career paths and contributing significantly to the country's economic growth.
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Introduction The Center for AI Safety (CAIS) is a leading research and field-building organization on a mission to reduce societal-scale risks from AI. Alongside our sister organization, the CAIS Action Fund, we tackle the toughest AI issues with a mix of technical, societal, and policy solutions. Our work includes publishing a global statement on...
Introduction The Center for AI Safety (CAIS) is a leading research and field-building organization on a mission to reduce societal-scale risks from AI. Alongside our sister organization, the CAIS Action Fund, we tackle the toughest AI issues with a mix of technical, societal, and policy solutions. Our work includes publishing a global statement on...
You may be a good fit if you: Have significant software engineering experience Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong ...
Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving l...
About the role: Our Inference team builds the service that generates outputs from our models in production. This service is the key driver of our efficiency, latency and reliability. As an engineer on this team, you’ll work on improving those metrics by solving complex distributed-systems problems across all layers of our stack. You may be a good...
About the role: As a Research Engineer in the Scaling team, you will directly train the models we launch to the public via Claude.AI and our API. In this role, you will design, implement, and optimize large-scale distributed systems that interact with state-of-the-art hardware accelerators. You will drive operational overhead towards zero through a...
About the role: As a Research Engineer in the Scaling team, you will directly train the models we launch to the public via Claude.AI and our API. In this role, you will design, implement, and optimize large-scale distributed systems that interact with state-of-the-art hardware accelerators. You will drive operational overhead towards zero through a...
About the role: You want to scale cutting-edge systems to build AI models like Claude. You're excited to work at the frontier of machine learning and infrastructure, implementing and improving our systems to create ever more capable, reliable and steerable AI. As an ML Infra Engineer on our Core Resources team, you'll be responsible for optimizing...
At Anthropic, we believe the most impactful safety research will require access to frontier AI systems. The most powerful AIs will operate not just on text but also other modes of data, including images, video and audio.Such models have potential to augment human creativity and productivity in exciting ways. However, we are very concerned about the...
Machine Learning Systems Engineer, Reinforcement Learning Engineering
NewPosted 13 Oct 2024NLP PEOPLEAbout the role: You want to build the cutting-edge systems that train AI models like Claude. You’re excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. As an ML Systems Engineer on our RL Eng team, you’ll be responsible for the critical algorith...