National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Software Engineering, Site Reliability Engineering PhD Intern, 2025 - Inklusiver Job 🦼 🦻 🦯

Google
London
8 months ago
Applications closed

Related Jobs

View all jobs

Principal Software Engineer

Software Engineer

Software Engineer (Machine Learning)

Machine Learning (Speech ) - Paid Internship - West London

Data Scientist

Machine Learning Engineer

Please complete your application before 25th October 2024. We encourage you to apply as early as possible as we review applications on a rolling basis. This internship is intended for students enrolled in their penultimate/final year of education in an accredited full-time PhD degree program located in the EMEA region. Participation in the internship program requires that you are located in one of the specific country locations identified for this role, for the duration of the internship program. Interns will be required to be available to work full-time for a minimum of 13 weeks over the Summer 2025 (starting in May, June or July) for the duration of the program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred): In the “Resume Section:” attach an updated CV or resume. In the “Education Section:” attach a current or recent unofficial or official transcript in English. Under “Degree Status,” select “Now attending” to upload a transcript. Please include your expected graduation date (month and year), and availability for the internship on your resume. The specific team and project(s) will be determined based on your educational background, interest and skills. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Zürich, Switzerland; Munich, Germany; Paris, France; Dublin, Ireland; Stockholm, Sweden . Minimum qualifications: Currently enrolled in a PhD degree in Computer Science or a related technical field in the EMEA region, and in your penultimate/final year of education. Experience working with data structures or algorithms during coursework/projects, research, internships, or practical experience in school or work (e.g., open-source coding). Coding experience in one of the following programming languages: Python, C, C++, Java, JavaScript. Preferred qualifications: Ability to complete a 13-17 week full-time internship in the internship location between May - October 2025. Relevant practical or internship experience (e.g., research assistant, teaching assistant, personal projects, etc) with programming in either: C++, Java, Python, or Go. Relevant practical or internship experience with one or more of the following: web application development, Unix/Linux, mobile application development, distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, and/or security software development. Interest and ability to learn other coding languages as needed. About the job We offer a range of internships in either Software Engineering or Site-Reliability Engineering across EMEA. Durations and start dates will vary according to project and location. Our recruitment team will determine where you fit best based on your resume. As a Software Engineering or Site Reliability Intern, you‘ll work on a specific project critical to Google’s needs. Software Engineering Intern: As a Software Engineering Intern, you will work on a specific project critical to Google’s needs. You will design, test, deploy, and maintain software solutions as you, and the business, grow and evolve during your internship. We drive reliability and performance across a massive scale. You will work on software development projects to keep important business generating systems up and running, from code-level troubleshooting of traffic anomalies to maintenance of services; from monitoring and alerts to building automation infrastructure. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. Responsibilities Research, conceive and develop software applications to extend and improve on Google's product offering. Contribute to a wide variety of projects using natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Collaborate on scalability issues involving access to data and information. Utilise exposure to large-scale production software troubleshooting. Help maintain mission critical services. 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 also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.