1,001 to 1,025 of 3,440 GCP Jobs in the UK excluding London

firm with strong ties to fintech. What You Bring: Experience in software engineering (Python, Go, Kotlin, JS, etc.) Familiarity with modern cloud infrastructure (AWS, GCP, Docker, Kubernetes) Some background or curiosity in AI/ML — personal projects or online courses count A builder’s mindset — excited to learn, prototype, and More ❯

understanding of these data concepts and the associated architecture is very helpful. You will use technologies across the major cloud stacks (e.g. Azure, AWS, GCP) and be able to create technically excellent solutions that are easily adopted by clients. The primary focus in this role will be the design and More ❯

Streams or ksqlDB a plus. Proficiency in at least one scripting language (e.g., Python, Shell). Experience with cloud-based Kafka deployments (AWS, Azure, GCP) is highly preferred. Experience with Kafka monitoring and alerting tools. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills. * Free services are subject More ❯

message the job poster from Mastek Team Lead II - Talent Acquisition at Mastek Key Skills Extensive knowledge of commonly used Cloud platforms (AWS, Azure, GCP), Security and DevOps practices, Design and Engineering standards Knowledge of any one of the mainly used programming languages (Java, Python, C#) will be beneficial Knowledge More ❯

learn, pandas, TensorFlow/PyTorch). Experience working with financial data, risk modelling, or algorithmic trading is a plus. Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stack tools (e.g., Apache Airflow, dbt, Snowflake). Excellent communication and stakeholder management skills. Must be available to work onsite More ❯

or Rust. TensorFlow, TensorFlow Lite, TensorRT, PyTorch, Scikit-Learn. Software Development best practices (CI/CD, DevOps, Docker, Kubernetes) Familiarity with Cloud environments (AWS, GCP etc.). This is a chance to join a business with real purpose, where you work has a real-world impact! You can work from More ❯

machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...) Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP). Understanding of the whole ML lifecycle and experience with MLOps/DataOps. Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs More ❯

Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills, and a desire to learn A degree in Computer Science, Data Science, or More ❯

understanding of data security, governance, and compliance requirements Experience building real-time, large-scale data pipelines Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly in secure deployments Experience using Infrastructure as Code tools Excellent communication and stakeholder management skills Detail-oriented with a strong focus on data accuracy More ❯

Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills, and a desire to learn A degree in Computer Science, Data Science, or More ❯

Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills, and a desire to learn A degree in Computer Science, Data Science, or More ❯

of programmes: (1) Wealth Technology Platforms; (2) Asset Servicing; (3) Digital and/or Cloud transformation, including implementation of digital user experience with AWS, GCP, Azure, Cloud-based ERP and/or other cloud architectures; (4) Real Estate Programme strategy; definition and planning, delivery strategy, business case development; mergers and More ❯

of programmes: (1) Wealth Technology Platforms; (2) Asset Servicing; (3) Digital and/or Cloud transformation, including implementation of digital user experience with AWS, GCP, Azure, Cloud-based ERP and/or other cloud architectures; (4) Real Estate Programme strategy; definition and planning, delivery strategy, business case development; mergers and More ❯

at least one of the following types of programmes: (1) Digital and/or Cloud transformation, including implementation of digital user experience with AWS, GCP, Azure, Cloud-based ERP and/or other cloud architectures; (2) Organisational & Operating Model Transformation; (3) Strategic Cost Reduction; (4) Regulatory & Compliance; (5) Mergers & Acquisitions More ❯

at least one of the following types of programmes: (1) Digital and/or Cloud transformation, including implementation of digital user experience with AWS, GCP, Azure, Cloud-based ERP and/or other cloud architectures; (2) Organisational & Operating Model Transformation; (3) Strategic Cost Reduction; (4) Regulatory & Compliance; (5) Mergers & Acquisitions More ❯

at least one of the following types of programmes: (1) Digital and/or Cloud transformation, including implementation of digital user experience with AWS, GCP, Azure, Cloud-based ERP and/or other cloud architectures; (2) Organisational & Operating Model Transformation; (3) Strategic Cost Reduction; (4) Regulatory & Compliance; (5) Mergers & Acquisitions More ❯

of programmes: (1) Wealth Technology Platforms; (2) Asset Servicing; (3) Digital and/or Cloud transformation, including implementation of digital user experience with AWS, GCP, Azure, Cloud-based ERP and/or other cloud architectures; (4) Real Estate Programme strategy; definition and planning, delivery strategy, business case development; mergers and More ❯

of programmes: (1) Wealth Technology Platforms; (2) Asset Servicing; (3) Digital and/or Cloud transformation, including implementation of digital user experience with AWS, GCP, Azure, Cloud-based ERP and/or other cloud architectures; (4) Real Estate Programme strategy; definition and planning, delivery strategy, business case development; mergers and More ❯

at least one of the following types of programmes: (1) Digital and/or Cloud transformation, including implementation of digital user experience with AWS, GCP, Azure, Cloud-based ERP and/or other cloud architectures; (2) Organisational & Operating Model Transformation; (3) Strategic Cost Reduction; (4) Regulatory & Compliance; (5) Mergers & Acquisitions More ❯

insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems capable More ❯

Logstash, Kibana) Solid experience with Apache NiFi Strong understanding of data security, governance, and compliance requirements Working knowledge of cloud platforms (AWS, Azure, or GCP), particularly in secure deployments Experience using Infrastructure as Code tools Excellent communication and stakeholder management skills Detail-oriented with a strong focus on data accuracy More ❯

Solid understanding of data warehousing, data lakes, and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts More ❯

ties to fintech. Virtual job fairs What You Bring: Experience in software engineering (Python, Go, Kotlin, JS, etc.) Familiarity with modern cloud infrastructure (AWS, GCP, Docker, Kubernetes) Some background or curiosity in AI/ML — personal projects or online courses count A builder’s mindset — excited to learn, prototype, and More ❯

Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong problem-solving skills, and a desire to learn A degree in Computer Science, Data Science, or More ❯

Understanding of directory services, identity lifecycle management, and privilege management. Familiarity with technologies like REST, SCIM, Active Directory, LDAP, and cloud platforms (Azure, AWS, GCP). Knowledge of automation tools and concepts for streamlining verification processes. Ability to create clear and effective visualizations to communicate data insights. Soft Skills: Strong More ❯