276 to 300 of 375 GCP Jobs in the South East

a business transformation setting, either at enterprise level or in large-scale delivery.Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be … and manage cloud infrastructure, ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to be a key team member of a diverse team of data engineers, fostering an environment that promotes professional growth and high performance through shared ideas More ❯

a Team Leader, managing a team of Data Engineers on various projects Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would … and manage cloud infrastructure, ensuring both consistency and scalability across environments Certifications in relevant technologies and methodologies, such as certified solutions architect or data engineer credentials from Microsoft Azure, GCP, AWS or Databricks. Ability to inspire, lead, and manage a diverse team of data engineers, fostering an environment that promotes professional growth and high performance.Experience working withing an Agile delivery More ❯

Join The Scale Factory as a Senior DevOps Consultant Job Type: Permanent Location: London/Leeds (Hybrid working) At The Scale Factory, were expanding on years of experience in solving complex technical challenges for a range of top-tier clients. More ❯

startup where your work directly drives the product vision. What you'll be doing: Designing and deploying scalable, high-performance cloud infrastructure for ML workloads. Managing cloud platforms (AWS, GCP, Azure) and setting up ML nodes for both local development and distributed training. Optimizing storage systems to handle big data for ML. Building and scaling containerized applications with Docker, Kubernetes … is a big plus). Strong scripting ability (Bash, Python, PowerShell, etc.) for automation. Hands-on experience with containerization & orchestration (Docker, Kubernetes, Terraform). Skilled in cloud platforms (AWS, GCP, or Azure). Bonus points for: Familiarity with ML frameworks (PyTorch, Jupyter). Knowledge of cloud monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Spanner More ❯

production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering teams to ensure seamless integration of ML models into products. Contribute to improving infrastructure, tooling, and … Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable More ❯

production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering teams to ensure seamless integration of ML models into products. Contribute to improving infrastructure, tooling, and … Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable More ❯

production use. Collaborate with data scientists to turn research prototypes into production-grade solutions. Build robust data pipelines and feature engineering workflows. Deploy ML solutions into cloud environments (AWS, GCP, or Azure). Implement monitoring, testing, and model performance evaluation frameworks. Work with engineering teams to ensure seamless integration of ML models into products. Contribute to improving infrastructure, tooling, and … Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable More ❯

Machine Learning Engineer £60000 - 90000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Machine Learning Engineer - Defence & National Security Locations: Poole | Hereford | Remote (UK-wide with travel) £60,000 - £90,000 + benefits Our client is More ❯

Lakes, Pipelines, and Data Products - balancing innovation with security, compliance, and scalability. What you'll do Architect and deliver secure, scalable data platforms across cloud environments (AWS, Azure, or GCP) Lead the design and hands-on development of data pipelines (batch & Real Time) using Python, Spark, and modern frameworks Define and enforce standards for data quality, validation, and regulatory auditing More ❯

/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. … record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in More ❯

/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. … record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in More ❯

/CDO level and translating requirements into solution blueprints, proposals, and presentations. Enterprise Solution Design – Architect end-to-end data and cloud solutions across platforms such as Azure, AWS, GCP, Databricks, Snowflake, Synapse, or Azure Fabric. Cloud Strategy & Adoption – Define and lead cloud migration, modernisation, and optimisation strategies using tools such as Terraform, Azure DevOps, and CI/CD pipelines. … record in banking transformation. Pre-Sales Expertise: Experience responding to RFPs/RFIs, delivering C-level presentations, and shaping winning solutions. Cloud Knowledge: Proven expertise in Azure, AWS, or GCP, with hands-on experience in cloud-native architecture and modernisation. Banking Domain: Essential knowledge of retail, commercial, or investment banking, including regulatory and finance transformation. Transformation Delivery: Demonstrated success in More ❯

Full Stack Engineer - contractDaily Rate: £800 - £870 (inside IR35 via umbrella)Contract End Date: March 27, 20262- 3 days onsite in Kings Cross pw requiredJoin a forward-thinking organisation where innovation meets collaboration. Our AI/ML team is built More ❯

opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and automation solutions both internally and … APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms More ❯

opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and automation solutions both internally and … APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms More ❯

opportunity to grow into a Head of Data and AI position. Key Responsibilities Data Engineering & Architecture Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure). Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics. Design and support the delivery of AI and automation solutions both internally and … APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms More ❯

Join us as a Data Platform Engineer for our client. At Peregrine, we re always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in More ❯

Join us as a Data Platform Engineer for our client. At Peregrine, we’re always seeking Specialist Talent that have the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Business Analysts in More ❯

team members, and working closely with stakeholders to deliver high-quality, scalable solutions. You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation . This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both technical problem-solving … to stay ahead in emerging technologies. Key Skills & Experience Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for ETL/ELT More ❯

team members, and working closely with stakeholders to deliver high-quality, scalable solutions. You’ll work extensively with Snowflake , Python , and SQL , leveraging leading cloud technologies (AWS, Azure, or GCP) and best practices in CI/CD and automation . This is a hands-on and strategic position, ideal for an experienced data engineer who enjoys both technical problem-solving … to stay ahead in emerging technologies. Key Skills & Experience Experience: 5+ years building and optimising data pipelines, architectures, and large-scale data systems within cloud environments (AWS, Azure, or GCP). Snowflake Expertise: Strong practical experience with Snowflake components (Snowpipe, Snowpark, Tasks, Dynamic Tables, UDFs). SnowPro certification preferred. Technical Proficiency: Advanced Python and SQL skills for ETL/ELT More ❯

within the practice. Required Skills & Experience Strong experience in data architecture, ideally in customer-centric domains such as CRM, CDP, or marketing analytics. Strong knowledge of cloud platforms (Azure, GCP), data warehousing, and ETL tools. Proficiency in SQL, Python, and data modelling techniques. Experience with customer data platforms (e.g., Salesforce CDP, Redpoint), MDM, and real-time data processing. Understanding of … communication and stakeholder management skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. Certifications in cloud platforms (e.g., Azure Data Engineer, GCP Associate Cloud Engineer). Familiarity with AI/ML applications in customer engagement and personalisation. Why Join Accenture? Work with cutting-edge technologies and global clients. Be part of a More ❯

Software & AI Engineer £750 - £800 per day 2 days onsite We're working with a global healthcare and AI research organisation that's pioneering the use of advanced Machine Learning to accelerate the discovery and delivery of life-changing treatments. More ❯

What's the Opportunity Join our dynamic Digital Engineering team at Ridge as a Data Analyst/Engineer, where you'll play a pivotal role in transforming data into actionable insights that drive innovation across our projects. You'll work More ❯

Lead Developer - up to £65,000 Hybrid, London (1 day per week on-site) We're working with a world-renowned organisation at the forefront of science and digital innovation who are looking for a Lead Developer to join a More ❯

Lead Developer Remote - London (Twice Per Month) Up to £65,000 + Benefits We're working with a world-renowned organisation at the forefront of science and digital innovation who are looking for a Lead Developer to join a major More ❯