1 to 25 of 64 Contract Google Jobs in the UK excluding London

help bring ambitious ideas to life. This is a contract role offering £485 per day, outside IR35, ideal for someone ready to design and deliver impactful, scalable solutions on Google Cloud Platform (GCP). Role Overview You'll work closely with the Head of Development and Head of Emerging Technology to design, build, and deploy scalable prototypes and production-ready … BigQuery, Cloud Run, Vertex AI, and Pub/Sub. Solid understanding of CI/CD, Terraform, and Git-based workflows. Excellent communication skills and a collaborative mindset. Desirable Experience Google Cloud Certifications (e.g., Professional Cloud Developer/Architect). Experience in startups, labs, or agile development environments. Familiarity with GenAI, advanced analytics, or data engineering on GCP. Location & Contract Details More ❯

SLAs), service level indicators (SLIs), and error budgets-will help you excel in this role.* Practical experience or familiarity with at least one major public cloud provider (AWS preferred; Google Cloud or Azure also considered) is important for success.* Experience managing configuration for large fleets of servers using declarative frameworks is advantageous for scaling operations smoothly.* Knowledge of leveraging APIs More ❯

artificial intelligence and machine learning concepts Proficiency in programming languages such as Python, Java, or C++ Experience with automation frameworks and tools Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) Ability to analyze and optimize algorithms for efficiency Knowledge of data structures and algorithms Experience with version control systems (e.g., Git) Strong problem-solving skills and analytical thinking Experience More ❯

acquire new skills and tools. Good non-functional testing experience. Desirable Skills Experience working in financial services or other regulated environments. AWS/GCP certifications (e.g., AWS Solutions Architect, Google Professional Cloud Engineer). Good understanding of cryptography More ❯

Capable of engineering scalable data pipelines using ETL/ELT tools e.g. Apache Spark, Airflow, dbt. Expertise with cloud data platforms e.g. AWS (Redshift, Glue), Azure (Data Factory, Synapse), Google Cloud (BigQuery, Dataflow). Proficiency in data processing languages e.g. Python, Java, SQL The ability to design and implement reliable, maintainable and performant data architectures. Good knowledge of data warehousing More ❯

reviews, and contributing to roadmap planning. Frameworks: Laravel, Livewire, Blade, Vue.js Languages: PHP 8.2+, Node.js 17+, HTML, Bootstrap 4 Databases: MySQL (schema design, indexing, optimisation) Cloud Providers: AWS (primary), Google Cloud, Azure Extensive expertise in Laravel and PHP, with advanced DevOps experience across CI/CD, Docker, Kubernetes, and Git workflows. In-depth AWS knowledge, covering EC2, RDS, S3, and More ❯

lifecycle marketing metrics such as engagement and retention. Technical Proficiency: Strong command of SQL , Python , or R , and experience with visualisation tools like Power BI and Tableau is essential. Google Cloud Platform (GCP) Experience: Hands-on skills with GCP and web/app analytics platforms including Google Analytics, Adobe Analytics, and GA4. Leadership Skills: Strong ability to influence stakeholders at More ❯

ability to lead data modelling workshops, and liaise with technical and non-technical audiences. Experience in implementing solutions using cloud-based data platforms and interoperability frameworks (e.g., Azure, Snowflake, Google Cloud, Mirth Connect and other accelerators). Nice to have: Experience in using programming languages such as SQL, Python, R and working in collaborative development tools. Familiarity with AI models. More ❯

/4 HANA, Fiori, GRC and PO SAP systems. This includes experience with SAP Basis administration, SAP ALM, and BTP cloud infrastructure. Experience with S/4 HANA on Google Cloud Platform (ideally but not essential) and specific GCP services for e.g. BUDR (Backup and Disaster Recovery), and in utilities, finance, procurement, or HR is highly desirable. Key Responsibilities: SAP More ❯

analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. More ❯

and ecosystem mapping Collaborate with cross-functional stakeholders (finance, business planning & ops, data teams, deal desk) to ensure program alignment Develop and maintain dashboards and reports in Salesforce , Excel , Google Sheets , and Tableau/Unidash Drive continuous improvement by identifying process inefficiencies and optimizing workflows Support strategic initiatives around pricing, packaging, discount allocation, and rebate structures Track and report on … leadership and stakeholders Required Skills & Experience: 5+ years of experience in B2B enterprise sales operations or partner operations Strong experience working with and analyzing data—proficient in Excel and Google Sheets Salesforce expertise is required Proven experience managing cross-functional projects and creating scalable partner programs Ability to thrive in a high-change, fast-paced environment with shifting priorities Excellent More ❯

and integration with MFA, Active Directory, and CyberArk Design and implement disaster recovery and business continuity strategies ensuring data resilience Manage hybrid cloud backup solutions using AWS, Azure, or Google Cloud platforms Support backup and recovery operations for virtualized environments such as VMware Oversee database backup solutions, specifically SQL Server and Oracle RMAN Collaborate with cross-functional teams to ensure … and storage configurations within backup environments Knowledge of security controls including RBAC, encryption, firewall rules, MFA, AD, and CyberArk integration Experience with cloud backup solutions on AWS, Azure, or Google Cloud Familiarity with virtualization platforms such as VMware Disaster recovery planning and execution Database backup administration for SQL Server and Oracle RMAN Strong troubleshooting and problem-solving abilities Ability to More ❯

week will be dependant upon the specific assignment. To be eligible for this role you must have the unrestricted right to work in the UK. Are you a certified Google Cloud Platform (GCP) trainer with a passion for empowering others through data and cloud education? An international digital marketing powerhouse is seeking a GCP Data Trainer to deliver high-impact … A sessions, and certification preparation Collaborate with internal teams to continuously improve training materials and delivery Stay up to date with the latest GCP developments and best practices Requirements Google Cloud Certified Trainer (Data Engineering or equivalent certification required) Proven experience delivering GCP training to technical and non-technical audiences Strong understanding of GCP data services and architecture Excellent communication More ❯

Expertise: Proven track record in managing e-commerce platforms, preferably with experience in WordPress, WooCommerce and associated plugins. Analytical Skills: Strong analytical skills with experience using analytics tools (e.g., Google Analytics) to optimise user journeys, track performance metrics, and inform strategy. Digital Marketing Acumen: Familiarity with e-commerce marketing strategies, including SEO, SEM, PPC, social media marketing, and email marketing. … degree in Business, Marketing, Information Technology, or a related field. Experience in a technical field, particularly in energy or power solutions. Certification in digital marketing or e-commerce (e.g., Google Analytics, SEO certifications). Proven basic coding skills to customise the site and improve functionality. Proven CRM experience eg HubSpot/Zoho. The skills and expertise being provided for the More ❯

for easy access and retrieval. Keywords: governance, KDO, Key data outputs, BCBS239, ECB, European central bank, SDLC, data, data model, power query, Power BI, collibra, power apps, tableau, alteryx, google cloud platform, GCP, EUC, end user computing More ❯

for easy access and retrieval. Keywords: governance, KDO, Key data outputs, BCBS239, ECB, European central bank, SDLC, data, data model, power query, Power BI, collibra, power apps, tableau, alteryx, google cloud platform, GCP, EUC, end user computing More ❯

with ability to prioritize tasks and meet deadlines Excellent communication and interpersonal skills, with ability to work effectively with internal stakeholders and external partners Proficient in Excel, Gsheets/Google sheets, Tableau, with ability to develop complex spreadsheets, reports, and dashboards Salesforce/SFDC experience is essential Self starter, be able to navigate ambiguity Strong analytical and problem-solving skills More ❯

guidelines. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviours. Use cloud platforms like Amazon Bedrock, Google Vertex AI, and Azure AI Studio for model orchestration and deployment. Build and integrate UI prototypes using tools like Streamlit, Gradio, or React for demoable outputs. Develop robust API integrations More ❯

and non Relational Databases Previous SRE experience including knowledge about SLO/SLA/SLI and error budgets, is advantageous Experience working or familiarity with one public cloud (AWS, Google or Azure) If this is of interest and you have the required skills, please submit your CV over for immediate consideration. McGregor Boyall is an equal opportunity employer and do More ❯

the gap between business needs and technical capabilities Requirements: Proven experience working as a Solutions Architect within the Financial Services sector Knowledge of Cloud computing platforms (eg, AWS, Azure, Google Cloud) and deployment strategies Understanding of modern IT infrastructure, software development life cycle (SDLC), and DevOps practices Demonstrable London Market software selection/delivery/integration experience Knowledge of the More ❯

solutions in complex, regulated environments is required. Deep understanding of AI/ML lifecycle, model governance, and ethical AI principles. AI technical experience including AWS Bedrock, Azure AI Foundry, Google Vertex and open-source AI/ML stacks. Contribute to reusable architecture patterns and support internal capability uplift. Background in regulated environments and ability to interpret complex technical requirements into More ❯

of API design principles and best practices. * Familiarity with relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB). Cloud Platforms: * Experience with cloud platforms like AWS, Azure, or Google Cloud. Testing and Debugging: * Experience with unit testing, integration testing, and debugging tools. Soft Skills: * Excellent communication, collaboration, and problem-solving skills. Agile Development: * Experience with agile methodologies like Scrum More ❯

team. What You Will Bring: • Experience designing applications in programming languages such as Python. • Knowledge of building data systems, pipelines, and validation processes in cloud platforms like AWS or Google Cloud. • Strong data analysis skills, including hypothesis testing, uncertainty analysis and process variation. • Technical understanding of physical measurement equipment and its applications. • Proven ability to create and present data-driven More ❯

a natural science, mathematical or engineering or computing discipline. Designing applications in different programming languages (preferable Python) Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud). Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation. Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions. Develop Key Performance More ❯

a natural science, mathematical or engineering or computing discipline. Designing applications in different programming languages (preferable Python) Build data systems & pipelines, data validation and management in cloud platforms (AWS, Google Cloud). Data analysis skills, including hypothesis testing, uncertainty analysis, and process variation. Ability to work closely with engineering stakeholders influence analysis techniques to inform engineering decisions. Develop Key Performance More ❯