1 to 25 of 1,323 Google Jobs in the UK

traffic. • Conduct keyword research, competitor analysis, and market research to inform campaign strategies. • Oversee and analyse website and campaign performance as well as optimise marketing activity using tools like Google Analytics, Google Search Console, and SEMrush. • Collaborate with the content team to develop SEO-optimised content strategies. • Stay up to date with industry trends, algorithm changes, and emerging best practices. … and implement new strategies to enhance campaign effectiveness and conversion rates. • Strong understanding of search engine algorithms, ranking factors, and digital advertising best practices. • Proficiency in tools such as Google Ads, Google Analytics, Google Search Console, SEMrush, Ahrefs, Moz or Screaming Frog as well as various social media ad platforms. • Ability to interpret data and translate insights into actionable strategies. 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 ❯

AD), and networking. Preferred skills, experience, and qualities needed Education: Bachelor’s or Advanced Degree in Engineering, Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends More ❯

AD), and networking. Preferred skills, experience, and qualities needed Education: Bachelor’s or Advanced Degree in Engineering, Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends More ❯

AD), and networking. Preferred skills, experience, and qualities needed Education: Bachelor’s or Advanced Degree in Engineering, Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends More ❯

field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch More ❯

teams. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of AI and machine learning concepts. Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with microservices architecture and RESTful APIs. Knowledge of database systems (SQL and NoSQL). Experience with DevOps practices and CI/CD pipelines. Soft Skills: Excellent leadership and 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 ❯

AI/ML Exposure to the open source stack Experience in price modelling techniques Experience in managing a small data team and mentoring Some exposure to behavioural data (eg Google or Adobe analytics) Benefits At Interpath, our people lie at the heart of our business. That's why we provide employees with a competitive and comprehensive reward package including compelling More ❯

bias/fairness testing, explainable AI (XAI) techniques, and performance monitoring. Qualifications & Experience (Preferred) Publications in recognized AI/ML journals or conferences. Experience with cloud platforms (AWS SageMaker, Google Vertex AI, Azure ML). Knowledge of graph databases and network analysis techniques. Experience with real-time model inference and API development (e.g., FastAPI, Flask). Personal Attributes Strategic Thinker More ❯

Knowledge of ML-adjacent technologies, including AWS SageMaker, Kedro and MLflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with enthusiasm for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS 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 ❯

Google Cloud Support Engineer (GCP Google Workspace) Manchester/WFH to £70k Are you a GCP Cloud specialist looking for an opportunity to progress your career? You could be joining a scaling software and technology consultancy. As a Google Cloud Support Engineer you'll support, troubleshoot and optimise Google Cloud (80%) and Google Workspace (20%) solutions across a range of … clients, resolving incidents in-line with SLAs. You'll act as the primary contact for the client, providing support via Teams/Google Meet, email and the ticketing system, with ownership through to resolution including escalating to and engaging with Google's support teams. Location/WFH: There's a hybrid work from home policy with 2-3 days in … the office per week. About you: You have experience of working in a 24x7 technical support environment and working with critical customer production systems You are a specialist with Google Cloud and broader cloud technologies including Google Workspace You ideally have experience with some of the following: Infrastructure monitoring (configuring, maintaining and troubleshooting), Automation and IaC technologies such as Ansible More ❯

Google Cloud Support Engineer (GCP Google Workspace) Manchester/WFH to £70k Are you a GCP Cloud specialist looking for an opportunity to progress your career? You could be joining a scaling software and technology consultancy. As a Google Cloud Support Engineer you'll support, troubleshoot and optimise Google Cloud (80%) and Google Workspace (20%) solutions across a range of … clients, resolving incidents in-line with SLAs. You'll act as the primary contact for the client, providing support via Teams/Google Meet, email and the ticketing system, with ownership through to resolution including escalating to and engaging with Google's support teams. Location/WFH: There's a hybrid work from home policy with 2-3 days in … the office per week. About you: You have experience of working in a 24x7 technical support environment and working with critical customer production systems You are a specialist with Google Cloud and broader cloud technologies including Google Workspace You ideally have experience with some of the following: Infrastructure monitoring (configuring, maintaining and troubleshooting), Automation and IaC technologies such as Ansible More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

Solid understanding of software development methodologies (Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications More ❯

Solid understanding of software development methodologies (Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications More ❯

Solid understanding of software development methodologies (Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning concepts and their application in software development. Experience with DevOps practices and tools. Qualifications More ❯

Business Unit: Data Management Role Overview This strategic, client-facing role sits within a growing Data Management practice and focuses on leading cloud-based data architecture initiatives, particularly on Google Cloud Platform (GCP). The Data Solutions Architect will collaborate with senior stakeholders to modernise data platforms, accelerate cloud transformation, and unlock business value through data and AI. This is 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 ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and More ❯