1 to 25 of 92 Google Jobs in the Thames Valley

AD), and networking. Preferred skills, experience, and qualities needed Education: Bachelor’s or Advanced Degree in Engineering, Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and More ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

in data tools and languages such as Python, SQL, Power BI, or similar platforms for data manipulation and visualization. Familiarity with cloud-based data environments (e.g. Azure, AWS, or Google Cloud) and version control systems like Git. Experience working with BIM, GIS, IoT, or other digital engineering technologies is highly desirable. Solid understanding of data governance, quality assurance, and security More ❯

with business storytelling. Leadership and mentoring capability within cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience in AI-enabled customer experience transformation. Degree More ❯

. Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes, APIs, and database management. Experience with analytics tools (e.g., Google Analytics, Tableau, Power BI) and CRM systems. Familiarity with data privacy regulations (e.g., GDPR, CCPA) and best practices in data governance. Excellent problem-solving, communication, and project management skills. What More ❯

evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience (e.g., Master’s project, internship at research organization). Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with More ❯

PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender More ❯

values. Qualifications Your Experience Required Qualifications 5+ years of direct experience in compensation, with a strong background in broad-based compensation, analytics, and program management. Expert-level proficiency in Google Sheets and/or Microsoft Excel, including building complex models, handling large datasets, and advanced formulas Proven analytical and modeling skills with a demonstrated ability to interpret data, identify trends More ❯

informed decisions across multiple platforms including Meta and Google. Key Responsibilities: Lead Marketing Mix Modelling (MMM) initiatives to evaluate campaign effectiveness using tools such as Robyn (Meta) and Meridian (Google). Finalise and implement the A/B testing framework, ensuring robust experiment design and causal impact measurement. Automate modelling pipelines to streamline marketing analytics processes. Work hands-on with More ❯

Senior Data Engineer (GCP BigQuery Python SQL) London/WFH to £85k Are you a tech savvy Data Engineer with Google Cloud expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. As a Senior Data Engineer you More ❯

or advisory, preferably in private equity, financial services, or consulting. Strong knowledge of financial services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging More ❯

with FS clients. Deep understanding of financial services data ecosystems, including regulatory, operational, and technical aspects. Hands-on experience designing and implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn More ❯

issue tracking. Knowledge of CI/CD pipelines, version control systems (e.g., Git), automated testing at various levels (unit, integration, system). Experience with test libraries like Pytest or Google Test. Exposure to front-end stacks—HTML, CSS, JavaScript, TypeScript, Node.js—is a plus. Experience with AI-assisted development tools is advantageous. Additional Skills That Would Be Beneficial: Experience using More ❯

infraless positioning systems. Experience building and supporting mobile applications for: iOS (Swift or Objective-C) Android (Java or Kotlin) Proficiency with RESTful APIs and cloud platforms (AWS, Azure, or Google Cloud). Familiarity with edge computing, digital twins, and AI-driven automation. Excellent communication skills – able to engage both technical and non-technical audiences. A degree in Engineering, Computer Science More ❯

infraless positioning systems. Experience building and supporting mobile applications for: iOS (Swift or Objective-C) Android (Java or Kotlin) Proficiency with RESTful APIs and cloud platforms (AWS, Azure, or Google Cloud). Familiarity with edge computing, digital twins, and AI-driven automation. Excellent communication skills – able to engage both technical and non-technical audiences. A degree in Engineering, Computer Science More ❯

Veritas' enterprise data protection business, the company's solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We've been named a Leader by multiple analyst firms and have been globally recognized More ❯

Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the More ❯

re at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team of 40+ Researchers More ❯

technical discussions. Proven experience as a Technical Architect or similar role. In-depth knowledge of system design, software architecture, and development methodologies. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Expertise in architectural design, data pipelines, cloud platforms, and API development. Knowledge of microservices and containerisation (Docker, Kubernetes). Experience with security best practices and compliance standards. Familiarity More ❯

and performant front-end applications using ReactJS, focusing on UX/UI best practices. Integration & Automation: Architect and maintain integrations with external APIs such as AWS, Stripe, Zendesk, Twilio, Google Analytics, Google Ads, HMRC, etc... Code Quality & Reviews: Enforce code quality through rigorous reviews, automated testing, and CI/CD processes. Project Management: Collaborate with cross-functional teams to gather More ❯

into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning More ❯