1 to 25 of 416 Google Jobs in Berkshire

data visualization, such as Certified Data Analyst or Certified Analytics Professional. 2. *Cloud Experience*: Experience with cloud-based data solutions, including AWS, Azure, or Google Cloud. 3. *DevOps*: Experience with DevOps practices, such as continuous integration and continuous deployment. 4. *Agile Methodologies*: Experience with Agile methodologies, such as Scrum or More ❯

automating data workflows. Experience with VoIP and LLM APIs (Gemini, ChatGPT, Claude) to analyse call transcripts and emails. Cloud & Deployment Working knowledge of AWS, Google Cloud, or Azure for data storage and ML deployment. Soft Skills & Compliance Strong communication skills—able to partner with non-technical teams and translate needs More ❯

with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural More ❯

or Java Familiarity with AI libraries, frameworks, and tools such as TensorFlow, PyTorch, or Keras. Proven understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models on these platforms. Solid understanding of AI concepts, algorithms, and methodologies. Knowledge of designing large scale AI solutions, data More ❯

including Addepar, NetSuite, Salesforce, and other external and internal applications. Manage cloud-based data infrastructure on platforms such as Azure, Amazon Web Services, or Google Cloud Platform, with focus on cost optimization, stability, scalability, and performance. Collaborate with business analytics and data science teams to ensure data environments are optimized More ❯

Leverage Python to implement robust data solutions, including automation and optimization tasks. Develop and maintain cloud data infrastructure using platforms like AWS, Azure, or Google Cloud Platform (GCP). Ensure data quality, security, and compliance with industry best practices and standards. Monitor and troubleshoot data pipelines to ensure reliability and More ❯

Proficiency in efficiently extracting data from third-party APIs. Strong troubleshooting, documentation and communication skills. Desirable Experience working with advertising data and platform APIs (Google Ads, Microsoft, Meta, etc.). Prior exposure to GCP-specific data tools. Experience setting up and maintaining CI/CD pipelines through GitHub Actions or More ❯

products. Data Expertise: Deep understanding of data management principles, data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR More ❯

Job description We’re looking for a PPC/Google Ads Specialist based in and around London who is well versed in Google Ads to build & manage lead-generation campaigns for new and existing clients - using minimal spends (small businesses). You will have a hands-on approach from initial … small businesses) · Continually manage, report and optimise campaigns for best results · Client facing/account management for respective ad accounts handled · Produce reports using Google Ads & Google Analytics Skills And Experience: · 4+ years PPC/Google Ads experience (particularly Google Search Ads including PMAX) · Able to drive strong quality leads … for minimal levels of spend (strategies to accommodate this) · Advance knowledge of Google Ads platform · Strong researching, analytical, copywriting and creative skillset · Highly motivated and positive individual with a strong work ethic · Self-starter, with a results-driven focus · Strong level of attention to detail · Strong understanding of reporting platforms More ❯

API design, and cloud platforms . Experience in leading architecture for a multi-tenant SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

PostgreSQL , MongoDB ). Experience designing data models and optimizing queries for performance. ✅ Cloud and Containerization: Experience working with cloud platforms like AWS , Azure , or Google Cloud . Familiarity with Docker , Kubernetes , or other containerization technologies, particularly for deployment and scaling of applications. ✅ Version Control & CI/CD: Proficiency in Git More ❯

of experience in data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best More ❯

ability to apply appropriate ML and analytics approaches to drive value creation from data. Comfort working within a cloud environment such as AWS or Google Cloud. Experience working with databases and data warehouses such as BigQuery. Experience working with LLMs, generative AI and agentic systems. Experience developing front ends and More ❯

time. Skills and Experience: Strong experience in SQL Possessing technical skills in Python and SQL, as well as knowledge of cloud technologies such as Google Cloud Platform (GCP), Azure is mandatory Strong analytical and problem-solving skills and experience conducting data audits and developing data strategies Advanced data manipulation and More ❯

various platforms and technologies. • Proficiency in at least one programming language (e.g., Java, Python, C#). • Strong understanding of cloud platforms (AWS, Azure, or Google Cloud) and modern architectural approaches. • Hands-on experience with APIs, microservices, containerisation (e.g., Docker, Kubernetes), and CI/CD pipelines. • Knowledge of database technologies (SQL More ❯

various platforms and technologies. • Proficiency in at least one programming language (e.g., Java, Python, C#). • Strong understanding of cloud platforms (AWS, Azure, or Google Cloud) and modern architectural approaches. • Hands-on experience with APIs, microservices, containerisation (e.g., Docker, Kubernetes), and CI/CD pipelines. • Knowledge of database technologies (SQL More ❯

serve medical content for our Q&A feature. You’ll design scalable APIs, optimise vector search, evaluate ranking quality, and productionise LLM workflows on Google Cloud. What you’ll do Design & build backend micro‐services (Python/FastAPI) that power RAG pipelines, user queries, and analytics. Develop retrieval infrastructure : orchestrate More ❯

AWS). Responsibilities: Design, build and maintain internal tooling, CI/CD pipelines and APIs in C#/.NET. Evolve our cloud architecture on Google Cloud Platform for high-throughput, low-latency workloads. Implement infrastructure-as-code (Terraform/Bicep) and automated release workflows that enable true continuous delivery. Drive More ❯

AWS). Responsibilities: Design, build and maintain internal tooling, CI/CD pipelines and APIs in C#/.NET. Evolve our cloud architecture on Google Cloud Platform for high-throughput, low-latency workloads. Implement infrastructure-as-code (Terraform/Bicep) and automated release workflows that enable true continuous delivery. Drive More ❯

in fast-paced startup environments Tech Stack Frontend: NextJS, Zustand, Tailwind, Prisma Backend: Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Benefits Competitive salary: $50k-$80k based on experience Fully remote work environment with More ❯

Skills in cost optimization for cloud infrastructure. Specific Tools and Techniques: Experience in using cloud native monitoring tools like AWS CloudWatch, Azure Monitor, and Google Cloud Operations Suite. Experience with packet capture tools like Wireshark for troubleshooting network issues. Experience in using traceroute utilities and performance analysis tools like perf More ❯

Proven experience in an Agile or DevOps environment, using tools like Jira and Azure DevOps. Solid knowledge of public cloud providers, especially Azure (AWS, Google Cloud is a plus). Experience with Continuous Integration systems such as Jenkins, Azure DevOps, CircleCI, or GitHub Actions. Proficiency in scripting languages such as More ❯

modern programming with one or more programming languages such as Python, Golang, Java, Ruby, TypeScript etc? Experienced working on cloud platform such as AWS, Google Cloud and have a good understanding of cloud infrastructure? Experienced working with Containers and Orchestration tools such as Docker & Kubernetes? Looking to work for a More ❯

development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience with multilingual AI models for global translation. AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF). What would be your key responsibilities? Design and implement enterprise-scale AI solutions, focusing on Conversational AI, Generative AI, and AI More ❯

platforms using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Infogain is a multi-cloud expert across hyperscale cloud providers – Microsoft Azure, Google Cloud Platform and Amazon Web Services. Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, and Singapore, with delivery centers More ❯