Software Engineer II, Full Stack, Google Learning

Google
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Software Engineer (AI & Machine Learning Focus)

Software Engineer III - MLOps

Lead Software Engineer - MLOps

Lead Software Engineer - Agentic AI/Machine Learning

Data Scientist / Software Engineer

Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). - 1 year of experience with data structures or algorithms. - 1 year of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases. - Front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent. Preferred qualifications: - Experience developing accessible technologies. - Experience with generative AI. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Global Sustainability team enables Google to build a more sustainable future for everyone by driving strategy and solutions. We drive the development and implementation of Google's global sustainability strategy to further empower action, ensure alignment and prioritization, identify leadership opportunities, and mitigate risks. We drive sustainability strategy and programs on carbon, circular economy, water, product integration, reporting, and employee engagement, while serving as a sustainability leadership advocate internally and externally. - Write product or system development code. - Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. - Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). - Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. - Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsohttps://careers.google.com/eeo/andhttps://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdfIf you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.