Field Solutions Architect, GenAI, Google Cloud Google London, UK Responsibilities Advise our customers by understanding the customer's business process and objectives. Architect AI driven, spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack into overall architecture. Work with customers, demonstrate features, tune models, optimize model performance, profiling, and benchmarking. Troubleshoot and find solutions … serving models in a large-scale environment. Build repeatable technical assets such as scripts, templates, reference architectures to enable other customers and internal teams. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements. Coordinate regional field enablement with leadership and work with product … data pipelines, ML pipelines, and ML training and serving approaches. Understanding of nearest neighbor search concepts. About the job As a Generative AI Field Solutions Architect, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud's AI/ML and Generative AI technology with AI native customers, large enterprises, and early-stage AI More ❯
Director, Delivery Management, Google Cloud Consulting EMEA Location: London, UK; Milan, Metropolitan City of Milan, Italy Position: Director+ Google welcomes people with disabilities. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Milan, Metropolitan City of Milan, Italy . Qualifications Bachelor's degree in Computer Science, a … cloud and broader enterprise technology transformation space. Ability to influence senior stakeholders, partners, customer executives, and product teams. Ability to manage across a matrix of teams. About the job Google Cloud Professional Services exists to bring specialist expertise around Google Cloud products, services, and the supporting practices which make their adoption successful. On this team, you'll engage directly with … customers and key Google partners to deliver, design, build, and advise customers on the best way to transition to Google Cloud. As a Professional Services Delivery Director, you will specialize in the program management, governance, and orchestration of large-scale cloud transformations. This will involve supporting both customers and internal teams from pre-business through to delivery and execution of More ❯
models within a production environment. Familiarity with common AI/ML concepts (e.g., supervised/unsupervised learning, NLP, computer vision fundamentals). Experience working with AI APIs (e.g., OpenAI, Google Cloud AI, AWS AI Services) or integrating with custom-built models. Understanding of data processing for AI/ML applications and data pipeline considerations. Knowledge of Python for AI/ More ❯
TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract We are seeking two AI Solutions More ❯
and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up More ❯
GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity More ❯
GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity More ❯
Nottingham, Nottinghamshire, England, United Kingdom Hybrid/Remote Options
BUZZ Bingo
with SQL, Blazor & Blazor patterns, SignalR, Azure DevOps, PowerShell, Python, MAUI. Experience with database technologies (e.g., MSSQL, MySQL, MongoDB) and ORM frameworks. Experience with cloud services (e.g., Azure, AWS, Google Cloud) and deployment strategies. Hold a full UK Driving Licence with access to your own vehicle. Desirable: Familiarity with containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform). Experience in More ❯
Golang. Experience with columnar, analytical cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data processing frameworks like Apache Spark is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud. Strong proficiency in designing, developing, and deploying microservices architecture, with a deep understanding of inter-service communication patterns. Extensive experience utilizing a remote procedure call (RPC) framework is essential More ❯
City of London, London, United Kingdom Hybrid/Remote Options
LHH
data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform . Strong background in technology deployment, including use of Docker , Kubernetes , CI/CD platforms ( Jenkins , Tekton , ArgoCD More ❯
data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform . Strong background in technology deployment, including use of Docker , Kubernetes , CI/CD platforms ( Jenkins , Tekton , ArgoCD More ❯
with several years in a senior DBA role. Strong expertise in Oracle, SQL Server, PostgreSQL, MySQL, or other enterprise databases. Experience in cloud database platforms (AWS RDS, Azure SQL, Google Cloud SQL). Hands-on experience with database performance tuning, security, and backup strategies. Knowledge of infrastructure technologies such as storage, networking, and containerized environments. Experience in database migration, automation More ❯
/ML methods to develop intelligent data driven product features Experience in Python, R & SQL for data manipulation, modelling and scripting Experience with cloud services, such as AWS, or Google Cloud for scalable AI/ML development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or More ❯
frameworks for simple front-end interfaces. Education & Certifications Bachelor’s degree in Computer Science, IT, or related field . Cloud certifications such as AWS Solutions Architect, Azure Administrator, or Google Cloud Professional are a plus. Why Apply? Work with a global, high-impact analytics team . Drive automation and efficiency across multiple platforms. Flexible, remote working arrangement. Open pay rate More ❯
ES6+). Experience with TypeScript and modern development tools and practices. Experience of Test Driven or Behaviour Driven Development. Knowledge of (Cloud-Native) development and serverless architectures (AWS, Azure, Google Cloud). Familiarity with CI/CD pipelines and DevOps practices. Experience with version control systems (Git). Understanding of web standards, accessibility, performance and development best practice. Excellent problem More ❯
scientists, platform engineers, and developers to ensure seamless integration and scalable, production-grade machine learning solutions.You'll be joining an award-winning team, recognised for its pioneering collaboration with Google to deliver the market's first AI-enhanced lead underwriting solution, a milestone that reflects our commitment to innovation, impact, and excellence in applying machine learning to real-world insurance More ❯
welcome, respected, & encouraged. Exposure to multi disciplinary skill areas (including team management & leadership) in a vibrant start up ecosystem with deep work involving world class leaders like Amazon, Microsoft, Google, Alibaba, DigitalOcean, and Facebook. Opportunity to travel regionally (as part of assignment/training and development or delivery) in Nepal, India, Pakistan, Bangladesh, or Sri Lanka. Nice to Have Contribution More ❯
Cheltenham, England, United Kingdom Hybrid/Remote Options
Northrop Grumman UK
Atlassian Suite (Confluence, Jira, Bitbucket) Strong agile background, keen to learn and succeed across multiple teams and adapt where required. Cloud experience and awareness in AWS, Microsoft Azure or Google Cloud Platforms Experience of designing, deploying and administering Linux or Unix based solutions would be advantageous e.g. using virtualisation, containerisation, Infrastructure as Code Experience with performance monitoring tools e.g. Elastic More ❯
warrington, cheshire, north west england, united kingdom Hybrid/Remote Options
SYSTEMS CARE
C#, Java, Python, or JavaScript/React). Experience with relational and non-relational databases (SQL Server, MySQL, MongoDB, etc.). Understanding of cloud-based environments (AWS, Azure, or Google Cloud) and containerisation (Docker, Kubernetes). Familiarity with CI/CD pipelines, version control systems (Git), and automated testing frameworks. Strong understanding of software design principles, architecture patterns, and agile More ❯
CD pipelines. Excellent written and verbal communication skills, with the ability to simplify complex ideas for technical and non-technical audiences. Nice to Have Experience with platforms like Braze, Google Analytics, Adobe Analytics, Contentful, or Sitecore. Experience across technology domains including CMS, CRM, Martech platforms, data pipelines, analytics, and cloud services. Exposure to CDPs (e.g., Bloomreach, Segment, BlueConic, Tealium) and More ❯
predictive modelling techniques such as regression analysis, clustering, or forecasting. Familiarity with Python or R is a bonus! Experience with cloud-based data environments like Microsoft Azure, AWS, or Google Cloud. Confidence in working with large, complex data sets, including data cleansing, transformation, and validation. Understanding of data governance principles around quality, security, and compliance. Personal Competencies Collaborative approach with More ❯
optimise RESTful APIs with a strong focus on performance, reliability, and security. Model and query data efficiently with MongoDB (or similar NoSQL databases). Deploy and manage services on Google Cloud Platform (GCP) using CI/CD pipelines (GitHub Actions) . Troubleshoot and tune performance across distributed systems. Collaborate in an agile environment , contributing to design reviews, planning sessions, and More ❯
Strong understanding of cloud migration and architecture We're looking for candidates with skills in one or more of the following areas: Cloud Architecture & Engineering Cloud platforms: AWS, Azure, Google Cloud Platform, or OCI Container technologies (Docker, Rocket) and orchestration (Kubernetes, OpenShift, Rancher, Swarm) Infrastructure as Code (Terraform, CloudFormation, ARM, GCP CDM) CI/CD and cloud automation tooling DevOps More ❯
with ease. Solid experience in Python development for data workflows Experience building and maintaining ETL pipelines, ideally with Apache Airflow or a similar orchestration tool Hands-on experience with Google Cloud Platform (BigQuery, GCS, etc.) or another major cloud provider Good understanding of data modelling principles and the ability to translate business needs into technical solutions Strong collaboration and communication More ❯
