1 to 25 of 8,237 Google Jobs in the UK

Experience with back-end web application frameworks (Django, FastAPI, etc.). Experience with language models and agentic workflows (e.g., Langchain, AutoGPT). Knowledge of model evaluation metrics and techniques. Google Cloud (Cloud Functions, AppEngine, PubSub, Stackdriver, etc.). Docker, Kubernetes. Typescript, NodeJS, React, Webpack, etc. Java, C#. Experience within the advertising/media agency space. Terraform Life at WPP Media More ❯

Senior Technical Consultant, Google Cloud Senior Technical Consultant, Google Cloud 1 month ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. CloudWerx is looking for a SENIOR TECHNICAL CONSULTANT, GOOGLE CLOUD to join our collaborative PROFESSIONAL SERVICES TEAM , remotely. As a Senior Technical Consultant specializing in Google Cloud Platform, you will … be a seasoned technical leader within our Google Cloud consulting practice. Leveraging your deep expertise in the GCP environment, you will be instrumental in guiding clients through their cloud adoption journey, ensuring successful implementation of scalable, secure, and cost-effective solutions. This role requires a highly experienced and hands-on technical professional who can balance strategic thinking with practical execution. … Qualifications, Your Influence To be successful in the role, you must possess the following skills Technical Expertise: Deep and demonstrable hands-on experience architecting, implementing, and managing solutions on Google Cloud Platform (GCP). Proficiency in designing and deploying scalable, highly available, and cost-optimized cloud architectures on GCP. Strong programming and scripting skills (e.g., Python, Go, Terraform, Shell scripting More ❯

Senior Technical Consultant, Google Cloud Join to apply for the Senior Technical Consultant, Google Cloud role at ESJAPO SL Senior Technical Consultant, Google Cloud 2 days ago Be among the first 25 applicants Join to apply for the Senior Technical Consultant, Google Cloud role at ESJAPO SL Get AI-powered advice on this job and more exclusive features. CloudWerx is … looking for a SENIOR TECHNICAL CONSULTANT, GOOGLE CLOUD to join our collaborative PROFESSIONAL SERVICES TEAM , remotely. As a Senior Technical Consultant specializing in Google Cloud Platform, you will be a seasoned technical leader within our Google Cloud consulting practice. Leveraging your deep expertise in the GCP environment, you will be instrumental in guiding clients through their cloud adoption journey, ensuring … qualifications, your influence To be successful in the role, you must possess the following skills Technical Expertise: Deep and demonstrable hands-on experience architecting, implementing, and managing solutions on Google Cloud Platform (GCP). Proficiency in designing and deploying scalable, highly available, and cost-optimized cloud architectures on GCP. Strong programming and scripting skills (e.g., Python, Go, Terraform, Shell scripting More ❯

Senior Technical Consultant, Google Cloud Senior Technical Consultant, Google Cloud 1 month ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. CloudWerx is looking for a SENIOR TECHNICAL CONSULTANT, GOOGLE CLOUD to join our collaborative PROFESSIONAL SERVICES TEAM , remotely. As a Senior Technical Consultant specializing in Google Cloud Platform, you will … be a seasoned technical leader within our Google Cloud consulting practice. Leveraging your deep expertise in the GCP environment, you will be instrumental in guiding clients through their cloud adoption journey, ensuring successful implementation of scalable, secure, and cost-effective solutions. This role requires a highly experienced and hands-on technical professional who can balance strategic thinking with practical execution. … Qualifications, Your Influence To be successful in the role, you must possess the following skills Technical Expertise: Deep and demonstrable hands-on experience architecting, implementing, and managing solutions on Google Cloud Platform (GCP). Proficiency in designing and deploying scalable, highly available, and cost-optimized cloud architectures on GCP. Strong programming and scripting skills (e.g., Python, Go, Terraform, Shell scripting More ❯

Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML … AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and More ❯

integrating LLMs into applications. Maintain up-to-date knowledge of different LLM providers and their strengths and limitations (e.g., OpenAI's GPT and O families, Anthropic's Claude family, Google's Gemini, xAI's Grok, as well as open-source LLMs like LLama, DeepSeek, and Mistral). Programming Proficiency : Competence and hands-on experience in at least one of the … doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. More ❯

tasks ensuring seamless data flow. Performance Tuning: Perform performance tuning and optimization of data pipelines and resources. Knowledge, skills and experience Essential: Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with More ❯

Experience with performance testing tools like JMeter or LoadRunner. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Experience in Agile/Scrum development environments. Why Us? Here at HL, we're the UK's number 1 investment platform for private investors, based in Bristol. For more More ❯

Join to apply for the Global IT Developer- Senior Manager role at Boston Consulting Group (BCG) Continue with Google Continue with Google 2 days ago Be among the first 25 applicants Join to apply for the Global IT Developer- Senior Manager role at Boston Consulting Group (BCG) Locations : Boston | Atlanta | Canary Wharf Who We Are Boston Consulting Group partners with … Services Referrals increase your chances of interviewing at Boston Consulting Group (BCG) by 2x Sign in to set job alerts for “Senior Information Technology Security Officer” roles. Continue with Google Continue with Google Continue with Google Continue with Google Greater London, England, United Kingdom 2 days ago Business Information Security Officer, Europe London, England, United Kingdom 2 weeks ago Operational More ❯

missions of our clients in the ever-evolving world of Social engine marketing, programmatic, social media, Commerce and affiliates. If you're ready to move at the speed of Google, Facebook, and Amazon, have an entrepreneurial spirit, get excited about finding smarter ways to do things, and demand performance for your clients, we'd love to meet you. We'll … of Excellence drives performance solutions across several channels including social, social, programmatic, commerce and affiliates. We have 30 different nationalities in our teams and work closely with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver businessresults to our clients. Overview We are seeking a highly motivated and experienced AI/Data Science Product Strategy … degree in Computer Science, Data Science, Engineering, Marketing, or a related field Bonus Points: • Experience working in or with performance media agencies • Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure) • Familiarity with marketing automation platforms and APIs • Contributions to open-source AI projects or publications Additional information Publicis Media has fantastic benefits on offer to all of our More ❯

solving skills and the ability to make sound technical decisions. Preferred: Master's degree in Computer Science, Engineering, or a related field. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with microservices architecture and RESTful API design. Strong understanding of database technologies (SQL and NoSQL). Experience with Agile/Scrum More ❯

or related field. · Prior experience working on AI/ML-driven projects in banking or financial services. · Knowledge of cloud AI/ML platforms such as AWS, Azure, or Google Cloud is added advantage. · Understanding of DevOps principles and digital transformation initiatives in banking. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job More ❯

Boston $180,000.00-$200,000.00 2 weeks ago Worcester, MA $167,032.32-$226,686.72 1 month ago Worcester, MA $214,755.84-$310,202.88 1 month ago Solutions Architect, Retail, Google Cloud Cambridge, MA $147,000.00-$216,000.00 6 days ago Information Technology Solutions Architect Plymouth, MA $140,000.00-$174,000.00 1 week ago VP Solutions Architects/Systems Engineering Boston More ❯

would be beneficial for this role. Including any of the following Programming Languages C++ Java Python JavaScript C# Systems & Tools Linux/Unix operating systems Cloud Technologies (AWS, Azure, Google Cloud) DevOps tools (e.g., Docker, Kubernetes) Version Control Systems (e.g., Git) Machine Learning/AI technologies Software Development Understanding of software development methodologies, including Agile and DevOps practices. Networking & Cybersecurity More ❯

to build and deliver high quality, scalable and secure solutions Implementations on and migration to Cloud services on at least one of the hyper-scale Cloud platforms - Microsoft Azure, Google Cloud, AWS Strong understanding and experience of quality engineering techniques including test-driven development (TDD), Behaviour-driven development (BDD), integration testing and performance testing Some experience with AI tools (one 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 ❯

platforms. Performance Tuning: Perform hands-on performance tuning and optimisation of data pipelines and cloud resources. Knowledge, skills and experience Essential: Cloud Platforms: Demonstrable experience with Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent More ❯

distributed group tackling novel R & D problems that directly impact customers. OUR TECHNOLOGY STACK: Python • Agentic tools (Autogen, Semantic Kernel, LangChain) • SQL • MongoDB • Third-party LLM APIs • LiteLLM • MLflow • Google Cloud Platform • Docker • PyTorch • Hugging Face Transformers • SPARQL • Kubernetes WHAT YOU WILL BE DOING AT BEAMERY Join us at the forefront of transforming how organisations manage talent and plan their More ❯

and platforms. Performance Tuning: Perform hands-on performance tuning and optimisation of data pipelines and cloud resources. Knowledge, skills and experience Cloud Platforms: Demonstrable experience with Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent More ❯

e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment- proven experience using technologies such as Docker, Kubernetes, CI/CD platforms (e.g. Jenkins, Tekton, ArgoCD), GitHub, to deploy complex More ❯

data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-native services for data storage, processing, and analytics. Data Quality and Governance: Implement and oversee data governance, quality, and security measures. Monitoring, Optimization and Troubleshooting More ❯

e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment- proven experience using technologies such as Docker, Kubernetes, CI/CD platforms (e.g. Jenkins, Tekton, ArgoCD), GitHub, to deploy complex More ❯

to build and deliver high quality, scalable and secure solutions Implementations on and migration to Cloud services on at least one of the hyper-scale Cloud platforms - Microsoft Azure, Google Cloud, AWS Strong understanding and experience of quality engineering techniques including test-driven development (TDD), Behaviour-driven development (BDD), integration testing and performance testing Some experience with AI tools (one More ❯

e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools (e.g. Terraform). Technology deployment- proven experience using technologies such as Docker, Kubernetes, CI/CD platforms (e.g. Jenkins, Tekton, ArgoCD), GitHub, to deploy complex More ❯

and model building with models such as gradient boosted tree algorithms, Deep Learning in particular transformer architectures. Strong experience in working in cloud computing environments such as AWS (preferred), Google Cloud or Microsoft Azure. Strong experience in developing software in Python and demonstrated ability to create machine learning models and new feature prototypes. A Bachelors/Masters in a quantitative More ❯