176 to 200 of 2,892 Google Jobs in the UK

and maintaining our SaaS product from concept to deployment. Key Responsibilities Design, deploy, and manage cloud infrastructure solutions on platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Collaborate with software development teams to design and implement cloud-native architectures, microservices, and serverless applications, leveraging containerisation and orchestration technologies (e.g., Docker, Kubernetes). Implement More ❯

in high-scale distributed systems, 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 ❯

experience building single page applications to join our product team working on Plyable's web apps. Our sites are written in modern Angular (TypeScript) and Django and hosted on Google App Engine and Kubernetes. We are a rapidly growing company, so there is excellent scope for growth and to shape your role, and you will be able to work with More ❯

software development tools. • Experience with core banking systems (e.g., Equation), Treasury systems, and finance systems. • Proficiency in SQL Server and database management. • Familiarity with cloud technologies (e.g., AWS, Azure, Google Cloud) is a plus. • Leadership Skills: • Excellent leadership and team management skills. • Strong problem-solving and decision-making abilities. • Exceptional communication and interpersonal skills. • Certifications: • Relevant certifications (e.g., PMP, Scrum More ❯

language processing, and other AI techniques. Strong data analysis skills, with experience using tools like SQL, Python, R, and data visualisation platforms. Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences. Strong project management skills, with the ability to manage multiple More ❯

to small and large audiences - Ability to juggle tasks and projects in a fast-paced environment - Languages : English and Hebrew - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but not a requirement - Previous experience as a More ❯

modern tech stack primarily centred around AWS . Our data strategy incorporates Knowledge Graphs , specifically using Neo4j. For large language models, we leverage APIs from providers like OpenAI and Google Gemini, while also valuing experience with deploying and managing open-source models. Our front-end stack includes React/Next.js , so familiarity here is beneficial. Skills Beyond the core competencies More ❯

designing and implementing large-scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modelling). Extensive experience with cloud platforms (AWS, Google Cloud, Azure) and their AI/ML offerings. Strong programming skills (Python, Java, C++) and experience with DevOps practices (CI/CD). Familiarity with containerization (Docker, Kubernetes), RESTful APIs More ❯

a related field. 10+ years 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 practices. Proven experience in enterprise More ❯

in production Familiarity with Git CI/CD and MLflow for managing and tracking code deployment or model versions Experience with cloud-based data platforms such as AWS or Google Cloud Platform Nice to have: Experience with Kafka Proven track record of leading large scale data infrastructure in production Experience with container technologies (such as Docker) and orchestration technologies (such More ❯

/CD pipelines, and cloud security. Strong knowledge of microservices architecture, RESTful APIs, and database management (SQL/NoSQL). Preferred: Cloud certifications (e.g., AWS Certified Developer, Azure Developer, Google Cloud Professional Cloud Developer). Experience in AI/ML model integration within cloud and medical applications. Familiarity with containerization (Docker/Kubernetes) and serverless computing. Experience working with IoMT More ❯

delivering client-facing projects. In-depth knowledge of software licensing models and agreements from major vendors such as Microsoft, Oracle, IBM, SAP, Adobe, and cloud providers (e.g., AWS, Azure, Google Cloud). Strong understanding of ITAM principles, processes, and technologies. Proven ability to analyse complex data, identify key insights, and develop actionable recommendations. Excellent communication (written and verbal), presentation, and More ❯

Puppet, Chef). Expertise in setting up and maintaining monitoring systems (e.g., Prometheus, Grafana). Some other highly valued skills may include: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Ability to quickly diagnose and resolve production incidents. Strong interpersonal skills to work effectively with cross-functional teams. More ❯

monitoring systems (e.g., Prometheus, Grafana)./li/ul p Some other highly valued skills may include:/p ul li Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)./li li Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes)./li li Ability to quickly diagnose and resolve production incidents./li li Strong More ❯

in Computer Science, Data Science, AI, IT, or Engineering, with pharmaceutical industry experience. Strong background in Generative AI , including LLMs, frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (AWS, Azure, Google Cloud). Proficient in programming languages (e.g. Python, R, Java) and familiar with data tools like Alteryx, Snowflake, Tableau, or Spotfire. Proven track record managing AI projects from concept to More ❯

team, and we welcome applicants from all backgrounds. If you have experience in the following areas, we'd love to hear from you: Cloud Platforms & Infrastructure Microsoft Azure or Google Cloud Platform (GCP) Terraform (Infrastructure as Code) CI/CD pipelines Git (version control) Security & Compliance Cloud posture management (Azure Defender for Cloud, GCP SCCE) Microsoft Defender XDR/Microsoft More ❯

industry Experience designing and analysing large-scale A/B test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Infrastructure as Code Experience establishing data science best practices across an organisation Perks of joining us: Company pension contributions at 5%. More ❯

leader by authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse data sources. You'll work closely with our clients More ❯

top law firms, financial institutions, and multinational corporations such as Allen & Overy, Dentons, and Deloitte. We are backed by prominent investors and VCs, including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Nick Jenkins (founder of Moonpig and former Dragon). Data Privacy Notice By submitting your application, you agree that DEFEYENE LEGAL SOLUTIONS LIMITED ('Definely') may collect, process More ❯

AI/ML software. 2+ years of experience building cloud-based products. 2+ years of experience with at least one major cloud-based AI model development service, like Azure, Google Cloud's Vertex AI, or AWS platforms. Preferred Qualifications: Mastery of the English language, excellent communication and technical writing skills. Strong understanding of SDLC best practices, including experience with CICD More ❯

current with emerging trends and advancements in the field. Experience with e-commerce platforms, payment gateways, and related technologies (desirable). Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and headless architecture (desirable). Bachelor's or Master's degree in Computer Science, Engineering, or a related field (desirable). Competitive salary of £80k-£90k p/a More ❯

current with emerging trends and advancements in the field. Experience with e-commerce platforms, payment gateways, and related technologies (desirable). Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and headless architecture (desirable). Bachelor's or Master's degree in Computer Science, Engineering, or a related field (desirable). Benefits: Competitive salary of £80k-£90k p/ More ❯

as Salesforce Commerce Cloud, Commercetools, Adobe Commerce, or SAP Commerce Cloud.Strong understanding of composable commerce principles, headless architectures, and API-first development. Expertise in cloud offerings (AWS, Azure, or Google Cloud) to drive commerce migration projects and recommend best practices. Excellent problem-solving, communication, and stakeholder management skills. Ability to lead diverse teams, including solution architects, developers, and business analysts More ❯

cycles YOUR SKILLS AND EXPERIENCE The successful Senior Digital Analytics Engineer will have the following skills and experience: Proven experience with server-side tagging using platforms such as Tealium, Google Tag Manager, or Adobe Launch Expertise in implementing and managing complex tracking solutions for both web and mobile apps Strong understanding of Tag Management Systems and marketing technology integrations Advanced More ❯

reliable service implementation estimates. Bring deep knowledge of employee solutions, CRM, and frontline services, with experience in Dynamics, Salesforce, SAP, or Oracle. Understand competitive technologies and cloud environments (Azure, Google Cloud, AWS) to assess solution integration. Promote Microsoft Business Applications, identifying opportunities for expansion, and contribute to thought leadership initiatives. Continuously develop your skills through training and certifications. Operational Excellence More ❯