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.
831 Jobs Found for Moonshot Ai in Los Altos
Minimum qualifications: Bachelor's degree in Computer Science, Software Engineering, similar technical field, or equivalent practical experience. 15 years of professional experience in software development. Experience with large-scale machine learning systems. Experience with large-scale ML infrastructure, ML or AI for products, or related fields....
The role involves researching, developing, and deploying generative AI software test tools for the quality assurance (QA) team. It focuses on building automated tools that enhance the efficiency of QA procedures. Collaboration with the QA and product teams will take place to incorporate AI's influence on the QA landscape. The position encourages o...
Senior AI Engineering ManagerCompany Overview:LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opport...
Principal Generative AI Engineer In Person / On-Site - Palo Alto, California $260,000 - $290,000 + Bonus Harnham is partnered with a new branch of an already-established business that is eager to create groundbreaking services and technologies that enrich the lives of contemporary families. By merging hardware, software, and services through top-...
The role involves researching, developing, and deploying generative AI software test tools for the quality assurance (QA) team. It focuses on building automated tools that enhance the efficiency of QA procedures. Collaboration with the QA and product teams will take place to incorporate AI's influence on the QA landscape. The position encourages o...
theklicker is an innovative internet technology startup focused on connecting every person on earth to e-commerce in one place. We are dedicated to theklicker values and are seeking a passionate and experienced Web Engineer to join our team and help shape the future of our company. Our team is small, highly motivated, and focused on engineering exc...
Cerebras Systems has pioneered a groundbreaking chip and system that revolutionizes deep learning applications. Our system empowers ML researchers to achieve unprecedented speeds in training and inference workloads, propelling AI innovation to new horizons. The Condor Galaxy 1 (CG-1), unveiled in a recent announcement, stands as a testament to Cere...
ACS (Advanced Compute & Solutions) is seeking a Back-End Software Engineer for our high growth, future-oriented businesses including Data Science, AI and other emerging areas. This role will work with some of the most exciting up-and-coming products in HP. As a Backend Engineer within our Data Science Solutions team, you will play a pivotal role in...
Qualifications Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field At least 5 years of professional experience in backend development Strong proficiency in one or more programming languages such as Python, Java, or Scala Expertise in vector database technology and designing retrieval systems for high-performa...
Tesla's Supercomputing/AI infrastructure team works directly with the high-performance computing and machine learning infrastructure on which our ML algorithms run; this includes virtual simulations, Autopilot hardware, silicon design, and Dojo. With the rapidly-growing need for more data and optimized compute resources, cluster builds are getting ...