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.
850 Jobs Found for Root Source in Mountain View
Position Summary The Senior Data Scientist in the Ads team at Sam's Club, a division of Walmart Inc., occupies a pivotal role in supporting and advancing Machine Learning (ML) implementations that drive innovative advertising solutions. This position is essential for developing ML models and algorithms that enhance ad relevance, targeting, and per...
We’re looking for a senior systems engineer to make foundational technology decisions and help mentor a growing team. This would be a great role for a seasoned systems engineer looking to overcome distributed systems challenges at an early-stage security startup. If you thrive on solving low-level packet hacking problems, lie awake at night dreamin...
Position Summary Distinguished Engineer/Architect What you'll do Leads and directs in large-scale, complex, cross-functional projects by reviewing project requirements, translating requirements into technical product solutions in the advertising business systems. Directs root cause analysis of critical business and production issues by reviewing an...
Company Description Paradigm Infotech, Inc is a global IT solutions provider focused on delivering customer value through high-quality processes and cost-efficient solutions. Paradigm has been one of the trendsetters in global delivery practices with our client-centric model for customer management and delivery. Job Description Minimum Qualificatio...
Job Title: Stability Project DRI(Quality Engineer) Location: Sunnyvale, CA Duration: Fulltime Job Description: We're seeking a creative and motivated Stability Quality Engineer to join a Systems Quality team working to ensure world-changing products are delivered at a high-quality to all our customers. You will be involved from the early stages o...
Responsibilities: Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build ...
Job details: System QA Engineer Location: Sunnyvale, CA (Onsite Day 1) Full Time Objective Create new command line, OS and web software tools for restore, kickoff, status, triage and reporting purposes Designing and writing on-the-fly automated stress and stability hardware-centric software tests for embedded systems Maintaining existing test a...
Minimum Qualifications: Bachelor's degree in Electrical, Process, or Manufacturing Engineering, or equivalent practical experience. 8 years of experience as a Manufacturing, Quality, Reliability, or Product Engineer. Experience with Tray test stations (L10) or Rack testing (L11) bringing-up including gauge correlation. Preferred Qualifications: Ex...
The Cloud AI & Advanced Systems Engineering (CAASE) is responsible for expanding Microsoft’s Cloud Infrastructure to enable Microsoft’s mission to empower every person and every organization on the planet to achieve more. The CAASE team is instrumental in delivering world-class and innovative hardware at scale to ensure a high-quality experience fo...
Targeted start date: Immediately. Relocation provided. Research Engineers in foundation models are generalists who build and maintain end-to-end responsibility for our AI models. A typical day involves implementing new model architectures, developing full-stack infrastructure for ramping up our data engine, or implementing new ways to evaluate gene...