26 to 50 of 732 Google Jobs in the UK excluding London

prescriptive models into production, with knowledge of current MLOps principles Skilled in creating impactful data visualisations and dashboards Working knowledge of cloud platforms such as GCP or AWS, with Google preferred In return for all your hard work, you will receive: 15% discount in store from the day you join us Additional 10% discount card for a friend or family More ❯

Power Automate and UiPath. Experience with Microsoft's wider suite including Automate, BI, Apps, Co-pilot and ability to work with LLM or other generative AI-supported tools like Google Tesseract. Knowledge of project delivery methodologies (i.e., Waterfall, Agile, Scrum). Knowledge of desktop infrastructure. About Working For us Our ambition is to be the leading UK business for diversity More ❯

Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages More ❯

Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages More ❯

in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud platforms (Azure, AWS, or Google Cloud). Knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field (preferred More ❯

in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud platforms (Azure, AWS, or Google Cloud). Knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field (preferred More ❯

or alongside Security Operations Centre(s). Experience working in all hyperscaler environments, preferably holding Professional Cloud Architect or equivalent Certification . Experience with multiple SIEM & SOAR Tooling, preferably Google SecOps (formerly Chronicle/Simplify). Strong written, verbal and presentation skills. Excellent communication and interpersonal skills, with the ability to build strong relationships with clients and their suppliers. Strong More ❯

or alongside Security Operations Centre(s). Experience working in all hyperscaler environments, preferably holding Professional Cloud Architect or equivalent Certification . Experience with multiple SIEM & SOAR Tooling, preferably Google SecOps (formerly Chronicle/Simplify). Strong written, verbal and presentation skills. Excellent communication and interpersonal skills, with the ability to build strong relationships with clients and their suppliers. Strong More ❯

Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply DevOps (ADO, GitHub) and Agile practices for More ❯

Kafka, Spark, Hadoop) and major cloud platforms (AWS, Azure, GCP) to inform technology recommendations. Proficiency in Java, C#, Python, or JavaScript/TypeScript. Experience with cloud platforms (AWS, Azure, Google Cloud) and DevOps practices. Familiarity with SQL/NoSQL databases, APIs, Docker/Kubernetes, and CI/CD pipelines. Confident communicator able to brief Senior Leadership and collaborate with stakeholders More ❯

GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A More ❯

GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A More ❯

manipulation techniques. Excellent analytical, problem-solving, and critical thinking skills. Proven ability to communicate technical findings to non-technical stakeholders. Preferred: Experience with cloud data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake). Familiarity with A/B testing, forecasting, and predictive modelling techniques. Experience in eCommerce as well as Finance and Healthcare industries. This fantastic new role is to More ❯

and ML solutions with guidance, including feature selection, model training and validation Prepare and explore data ahead of modelling Utilise a modern tech stack for data science, including python, google cloud and other tools Work closely with data and ML engineers to develop and scalably integrate modelling solutions Work closely with business stakeholders to ensure that data science solutions are More ❯

and ML solutions with guidance, including feature selection, model training and validation Prepare and explore data ahead of modelling Utilise a modern tech stack for data science, including python, google cloud and other tools Work closely with data and ML engineers to develop and scalably integrate modelling solutions Work closely with business stakeholders to ensure that data science solutions are More ❯

in the delivery of digital 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 in Seattle, Dallas, Montevideo, Kraków More ❯

in the delivery of digital 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 in Seattle, Dallas, Montevideo, Kraków More ❯

in the delivery of digital 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 in Seattle, Dallas, Montevideo, Kraków More ❯

management tools (e.g. Asana, Monday,..) Experience with CRM systems (e.g., Salesforce) and website content management (e.g. WordPress). Strong analytical skills and experience with data analytics tools (e.g., Google Analytics, Tableau). Experience with international and European media buying Skills and knowledge Strong leadership skills managing and motivating a team of marketing professionals, including campaign executives, performance marketing specialists More ❯

Mesh, Data Fabric, Data Lake etc. Data/Analytics - solving enterprise data and analytics problems using technology Cloud - hands-on Public Cloud experience in either AWS/Azure/Google, both their 'services' and 'how' to work in the cloud such as DevOps-centric approach Security - having worked in sensitive data environments and ideally have experience facing off to cyber More ❯

/CD pipeline development. Strong scripting and programming skills (e.g., Bash, Python, PowerShell). Exposure to containerization technologies (e.g., Docker, Kubernetes). Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent knowledge of version control systems (e.g., Git). Experience with detecting and resolving security vulnerabilities As an equal opportunities' employer, we welcome applications from individuals of all More ❯

usable as working language; Chinese communication ability preferred. Skills: 1、Proficiency in SQL, capable of complex queries, data extraction and processing; 2、database optimization experience preferred; 3、Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities; 4、Proficiency in Power BI, able to independently create reports and dashboards with good data presentation skills More ❯

usable as working language; Chinese communication ability preferred. Skills: 1、Proficiency in SQL, capable of complex queries, data extraction and processing; 2、database optimization experience preferred; 3、Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities; 4、Proficiency in Power BI, able to independently create reports and dashboards with good data presentation skills More ❯

usable as working language; Chinese communication ability preferred. Skills: 1、Proficiency in SQL, capable of complex queries, data extraction and processing; 2、database optimization experience preferred; 3、Mastery of Google Analytics, able to analyze traffic and user behavior data, identify needs and opportunities; 4、Proficiency in Power BI, able to independently create reports and dashboards with good data presentation skills More ❯

Kafka, Spark, Hadoop) and major cloud platforms (AWS, Azure, GCP) to inform technology recommendations. Proficiency in Java, C#, Python, or JavaScript/TypeScript. Experience with cloud platforms (AWS, Azure, Google Cloud) and DevOps practices. Familiarity with SQL/NoSQL databases, APIs, Docker/Kubernetes, and CI/CD pipelines. Confident communicator able to brief Senior Leadership and collaborate with stakeholders More ❯