51 to 75 of 3,057 Google Jobs in the UK

Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration More ❯

Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration More ❯

Python, R, Java ) for AI model development and deployment. Familiarity with AI libraries and frameworks (TensorFlow, PyTorch, Keras). Experience deploying AI models in cloud computing environments (AWS, Azure, Google Cloud). Deep understanding of enterprise AI architecture, data engineering, and model optimization . Strong problem-solving skills, with a business-driven approach to AI implementation. Effective communication and collaboration More ❯

cloud computing security concepts Proficiency with IaC tools like Terraform or CloudFormation. Experience with workflow orchestration tools (e.g., Airflow, Dagster). Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in Agile environments with tools like Jira and Git. About Us We are Citation. We are far from your average service More ❯

I need? Education & Certifications: Degree in a relevant field (e.g., Computer Science, Data Science) and industry credentials (e.g., Microsoft, Databricks). Technical Skills: Proficient with Azure, Databricks, PowerBI, AWS, Google Cloud, and data management services. Operational Experience: Skilled in engineering, agile, and devops environments; familiar with Git, Jira, and GDPR compliance. Communication: Excellent written and verbal skills; strong interpersonal and More ❯

I need? Education & Certifications: Degree in a relevant field (e.g., Computer Science, Data Science) and industry credentials (e.g., Microsoft, Databricks). Technical Skills: Proficient with Azure, Databricks, PowerBI, AWS, Google Cloud, and data management services. Operational Experience: Skilled in engineering, agile, and devops environments; familiar with Git, Jira, and GDPR compliance. Communication: Excellent written and verbal skills; strong interpersonal and More ❯

do with digital data and technology; building innovative models on top of the latest open source tools, as well as making use of cutting edge AI APIs from OpenAI, Google, Microsoft and AWS. You'll regularly share your knowledge of the rapidly changing and exciting world of AI to ensure Curve benefits from your ongoing research. Additionally, you'll work More ❯

chain components, including suppliers, manufacturers, and distributors. Enhance visibility across the supply chain to improve decision-making and responsiveness. Preferred Skills: Experience with cloud platforms such as AWS, Azure, Google Cloud and cloud-native development. Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code. Knowledge of security best practices and experience implementing secure coding practices. A track More ❯

Solid understanding of logging, monitoring and observability to understand if software is functioning as required. Strong communication and teamwork skills. Preferred Skills: Experience with cloud platforms e.g., AWS, Azure, Google Cloud. Knowledge of DevOps practices and CI/CD pipelines. Experience with containerization technologies e.g., Docker, Kubernetes. Experience in writing distributed systems and concepts of sharding, Pub/Sub. Understanding More ❯

Solid understanding of logging, monitoring and observability to understand if software is functioning as required. Strong communication and teamwork skills. Preferred Skills: Experience with cloud platforms e.g., AWS, Azure, Google Cloud. Knowledge of DevOps practices and CI/CD pipelines. Experience with containerization technologies e.g., Docker, Kubernetes Experience in writing distributed systems and concepts of sharding, Pub/Sub. Understanding More ❯

security. We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate More ❯

relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL). Experience with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Ability to work with version control systems (e.g., Git). Excellent communication and problem-solving skills. Available to start working in the UK. Nice to Have Experience with More ❯

problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight Skills with MLOps concepts and principles. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks More ❯

related field. Advanced degrees or relevant certifications are a plus. Technical Expertise: Proven experience with Azure Data Platform technologies, particularly Azure Databricks. Familiarity with other cloud platforms (e.g., AWS, Google Cloud) is advantageous. Industry Experience: Previous experience in the Alternative Investment Fund industry is a plus but non-essential. Data Architecture and Modelling: Strong knowledge of data architecture principles, data More ❯

a science related subject. A passion for coding, data science, and open source technologies. Ability to write and review production-grade Python. Experience with cloud computing, for example AWS, Google Cloud or Azure, along with modern DevOps practices and infrastructure-as-code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your 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). What we offer Competitive Salary We offer a highly competitive salary that reflects your skills, experience, and contributions. More ❯

mathematical, statistical concepts, and machine learning algorithms Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras SQL proficiency Experience with cloud environments for example Google Cloud Platform Version control management Ability to work efficiently without compromising quality Effective communication and data storytelling skills Collaborative mindset and passion for sharing knowledge Charlotte Tilbury is a fast More ❯

production Familiarity with Git and MLflow for managing and tracking model versions Experience with Kafka is a big bonus Experience with cloud-based data platforms such as AWS or Google Cloud Platform. Proven track record of running large scale mission critical data infrastructure in production Experience with container technologies (such as Docker) and orchestration technologies (such as Kubernetes) Experience working More ❯

Terraform, Ansible ) and metrics and observability tools (e.g. Prometheus, Grafana ). Strong understanding of modern DevOps practice, including DevOps stacks (e.g. Jenkins, GitLab, CircleCI ). Cloud experience (e.g. AWS, Google Cloud, Azure, Kubernetes). Familiar with software engineering ways of working and engagement model. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of More ❯

a quantitative discipline or MBA with a focus on analytics. Experience in the real estate, facilities management, or related industries. Certification in relevant areas (e.g., AWS Certified Data Analytics, Google Data Analytics Professional Certificate). Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Experience with data visualization design principles and storytelling techniques. Knowledge More ❯

a strong focus on data 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 and other data capture regulations More ❯

a strong focus on data 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 and other data capture regulations More ❯

relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL). Experienced with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Ability to work with version control systems (e.g., Git). Excellent communication and problem-solving skills. Direct availability to start working in the UK. Nice to have: Experience More ❯

problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight • Skills with MLOps concepts and principles. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). • Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks More ❯

of Python, including writing modular Pythonic code, familiarity with core Python data structures, fluency with pandas, and experience with unit testing. Desirable skills & experience Hands-on work experience with Google Cloud Platform (GCP) implementations. Experience in implementing and supporting Machine Learning systems, including automating data validation, model training, model validation, and model monitoring. Awareness of the latest industry technical developments More ❯