101 to 125 of 1,042 Google Jobs in the UK excluding London

deploying machine learning models in production environments Experience with data visualization tools (Tableau, Power BI, or similar) Familiarity with cloud platforms (AWS, Azure, Google Cloud) for AI model deployment Knowledge of aircraft design and development, including ergonomics and testing Understanding of aerospace industry regulations and standards ...

enterprise-scale cloud data platforms and modern data products.Role OverviewYou will provide technical leadership across client engagements, delivering cloud-native data solutions primarily on Google Cloud Platform (GCP). Working with clients, architects, engineers and business stakeholders, you will define scalable data architectures, lead delivery teams and support enterprise data ...

remains fit-for-purpose through continuous review, modernization, and refinement. 2. Technical Architecture & Design Architect secure solutions for hybrid and multi-cloud environments (especially Google Cloud Platform (GCP)) including identity, networking, data, and application layers. Securing Applications and API. Perform technical assessments, threat modeling, and design reviews for enterprise-scale ...

following would be an advantage, but is not required: Scientific, biotechnology, life-sciences or other R&D data. Azure and/or Google Cloud Platform. ELN or LIMS platforms such as Benchling. Preparing data for analytics, machine learning or AI applications. Semantic modelling, ontologies or knowledge graphs. CI/ ...

Experience: 8+ years of commercial software engineering experience. Experience owning and operating production distributed systems end-to-end. Strong TypeScript or Python expertise. Deep Google Cloud Platform experience, or equivalent cloud platform knowledge. Proven track record of designing, building and operating large-scale systems. Improving engineering standards, quality processes ...

Understand principles behind highly performing web pages Experience/Familiarity with Entity framework core. Experience/Familiarity with communications technologies (Web API, Google Protocol Buffers) and message queues (e.g. RabbitMQ, SQS) Soft skills: Agile/SCRUM/SAFe Strong communication skills, written and verbal Very motivated with high levels ...

NoSQL and Graph databases, including query performance optimisation Experience designing, building, and deploying production-grade cloud solution architectures in virtualized environments such as Google Cloud Platform (GCP) or AWS Good knowledge of containerisation and orchestration technologies such as Docker and Kubernetes Nice to have Hands-on experience with Python ...

design solutions. Strong understanding of cloud operating models and DevOps-led delivery approaches. Desirable Experience across additional cloud platforms, including Microsoft Azure and Google Cloud Platform (GCP) . Knowledge of Scala and Apache Spark . Experience supporting pre-sales, bids, and client-facing solution development. Exposure to government, defence, national ...

delivering high-quality output within tight deadlines.What could set you apartAdvanced Technical Skills: Experience using Python for data manipulation and advanced analytics. Familiarity with Google workspace tools.Academic Background: A BA/BSc (2:1 or higher) in Mathematics, Statistics, or another numerically focused degree.Broad Financial Context: Prior experience within ...

Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. You won’t need every technology on this list. A strong engineering foundation, a good cross-section of these skills, and the curiosity ...

with the ability to troubleshoot complex data integration challenges. Skills We'd Like Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of modern data warehousing, analytics, and cloud‐native data integration services. Additional Requirements Candidates must be eligible to obtain and maintain ...

with the ability to troubleshoot complex data integration challenges. Skills We'd Like Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of modern data warehousing, analytics, and cloud‐native data integration services. Additional Requirements Candidates must be eligible to obtain and maintain ...

migration QA and reporting continuity. NoSQL-to-analytics modelling, including change-feed patterns from operational databases into lakehouse or warehouse structures. GA4, BigQuery export, Google Ads/SEM feeds, Segment or other event and marketing analytics sources. Experience with Azure OpenAI, LLMs, RAG, AI agents, prompt/version management ...

strong working relationships across engineering, product and external partner communities. Kafka, Quarkus or similar distributed application technologies. Distributed ledger technologies (DLT), blockchain or DAML. Google Cloud Platform (GCP) or other public cloud platforms. React, TypeScript or modern frontend development frameworks. Experience working on globally distributed or high-scale payment platforms. ...

innovation, and driving positive data-led organizational change. Required Work Experience Experience using modelling tools and BA platforms (e.g. Jira, Asana, Lucidchart, MS Visio, Google Workspace). Prior exposure to LIMS, ERP, or enterprise reporting platforms is highly desirable. Sector experience within Metals & Minerals, Mining, Energy, Scientific, or Supply Chain ...

cost-efficient services.Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS.Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters.Mentor junior developers in engineering best practices, including test ...

qualifications, capabilities, and skills Familiarity with VMware, OpenShift, Hyper-V, and bare metal platforms Experience with public cloud technologies such as AWS, Azure, or Google Cloud Passion for innovation, AI, and continuous improvement practices Demonstrated ability to thrive in a small, high-paced, globally distributed team environment ABOUT ...

solutions. With either a Windows or Linux engineer background: Knowledge and some Experience of/w Monitoring tools Knowledge/experience of VMWare, AWS, Google Cloud Working knowledge of storage technologies Working knowledge of Linux platform Bash (Intermediate to Proficient) Unix/Linux (RHEL and CentOS) 2/3yrs ...

solutions. With either a Windows or Linux engineer background: Knowledge and some Experience of/w Monitoring tools Knowledge/experience of VMWare, AWS, Google Cloud Working knowledge of storage technologies Working knowledge of Linux platform Bash (Intermediate to Proficient) Unix/Linux (RHEL and CentOS) 2/3yrs ...

Understanding of data warehousing, analytics, and data-driven products Awareness of cybersecurity, data privacy (GDPR, CCPA), and compliance requirements Product analytics tools: Mixpanel, Amplitude, Google Analytics, or similar Soft Skills Strategic thinking and business acumen Communication skills (written and verbal) to influence diverse audiences Analytical and problem-solving mindset Leadership ...

quality output within tight deadlines.### ****What could set you apart***** Advanced Technical Skills: Experience using Python for data manipulation and advanced analytics. Familiarity with Google workspace tools.* Academic Background: A BA/BSc (2:1 or higher) in Mathematics, Statistics, or another numerically focused degree.* Broad Financial Context: Prior experience ...

applications in production. Experience building and operating large‐scale, distributed AI systems involving multiple agents, models, tools and services. Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies. Experience with LangGraph, AutoGen, smolagents or similar frameworks. Experience with Model Context Protocol, model‐serving platforms ...

with the ability to troubleshoot complex data integration challenges. Skills We'd Like Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of modern data warehousing, analytics, and cloud-native data integration services. Additional Requirements Candidates must be eligible to obtain and maintain ...

generative AI applications in production.Experience building and operating large-scale, distributed AI systems involving multiple agents, models, tools and services.Experience with Azure, AWS or Google Cloud, Kubernetes, Helm, Terraform and CI/CD technologies.Experience with LangGraph, AutoGen, smolagents or similar frameworks.Experience with Model Context Protocol, model-serving platforms, vector databases ...

engineering practices, relational databases, Hadoop, big data technologies, or cloud-native services. Familiarity with cloud-native architecture and managed services across AWS, Azure, or Google Cloud Platform. Knowledge of financial services, compliance, risk, or regulated technology environments. Interpersonal Skills Passion for solving operational problems and continuously improving systems through automation. ...