376 to 400 of 999 GCP Jobs in the UK

pytest, unittest, or other test frameworks). Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines. Strong problem-solving skills and ability to communicate technical issues clearly. Key Responsibilities: Design and implement test plans for AI/ML applications, APIs, and More ❯

AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions. Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and MLOps(machine learning operations) practices. Deep knowledge about design and implementation of secure integrations between AI solutions and legacy enterprise software, whilst ensuring compliance with government-level security requirements More ❯

Principal Cloud Security 4+ years of experience performing cloud security advisement and risk assessments based upon industry-accepted standards Hands-on experience with a cloud hosting provider (AWS, Azure, GCP, etc) Experience with a Cloud Application Security Broker - MCAS, Netskope Possess a deep technical knowledge in CASBs, Cloud Platforms and the dependencies around such an environment (WAF, SSO, Cloud Threats More ❯

Principal Cloud Security 4+ years of experience performing cloud security advisement and risk assessments based upon industry-accepted standards Hands-on experience with a cloud hosting provider (AWS, Azure, GCP, etc) Experience with a Cloud Application Security Broker - MCAS, Netskope Possess a deep technical knowledge in CASBs, Cloud Platforms and the dependencies around such an environment (WAF, SSO, Cloud Threats More ❯

Principal Cloud Security 4+ years of experience performing cloud security advisement and risk assessments based upon industry-accepted standards Hands-on experience with a cloud hosting provider (AWS, Azure, GCP, etc) Experience with a Cloud Application Security Broker - MCAS, Netskope Possess a deep technical knowledge in CASBs, Cloud Platforms and the dependencies around such an environment (WAF, SSO, Cloud Threats More ❯

validate AI use cases and accelerate adoption ️ Ensure AI solutions are explainable, auditable, and scalable ️ Collaborate on selecting third-party vendors for AI tooling ️ Use cloud platforms (AWS, Azure, GCP) to deploy scalable solutions ️ Evaluate algorithm performance and optimize through tuning and retraining ️ Ensure compliance with GDPR, AI Act, and industry regulations ️ Stay up to date with AI trends and More ❯

and impact tracking. Requirements Technical Experience 10+ years of technical experience in Cloud DevOps, SaaS, or observability, with 5+ years in leadership roles. Strong hands-on experience with AWS, GCP, Azure, K8S, Terraform and observability tools: Prometheus, Grafana, OpenTelemetry, ELK, Splunk, Datadog, and similar. Proficiency with metrics, logs, traces and APM. Leadership & Global Operations Proven success leading multi-regional or More ❯

APIs. Solid understanding ofend-to-end solutions. Strong problem-solving across front-end and back-end. Focus on code quality, scalability, and optimisation. Experience with cloud platforms (AWS, Azure, GCP). Experience with CI/CD automation is a bonus. Take the next step in your career – Apply now or send your CV to * This role is hybrid working in More ❯

technologies to be leveraged by the team including Java, CI/CD technologies Experience working with containerization and orchestration platforms (Kubernetes/Openshift) and cloud providers like AWS, Azure, GCP or others. Not all these tech skills are mandatory These are entry to midlevel role allowing you to spearhead your experience in a fast-paced role with a leading Fintech More ❯

free positioning systems. Experience building and supporting mobile apps (iOS: Swift/Objective-C; Android: Java/Kotlin). Strong knowledge of REST APIs and cloud platforms (AWS, Azure, GCP). Familiarity with edge computing, AI-driven automation, and digital twins. Excellent communication skills-capable of simplifying technical concepts for all audiences. Background in aviation, geospatial, or smart building environments More ❯

AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions. Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and MLOps(machine learning operations) practices. Deep knowledge about design and implementation of secure integrations between AI solutions and legacy enterprise software, whilst ensuring compliance with government-level security requirements More ❯

AI/ML architecture and system design (minimum 2 years) with proven expertise in hands-on coding AI solutions. Deep knowledge of machine learning frameworks, cloud platforms (AWS, Azure, GCP), and MLOps(machine learning operations) practices. Deep knowledge about design and implementation of secure integrations between AI solutions and legacy enterprise software, whilst ensuring compliance with government-level security requirements More ❯

or sales engineering roles Hands-on with Docker, Kubernetes, CI/CD, Git, build tools Solid AppSec experience: SCA, SAST, SBOM, Container Security Cloud infrastructure fluency (AWS, Azure or GCP - must especially tick this box) Proven track record building enterprise relationships - from tech champions to C-level Ability to build full DevOps pipelines with various tools Software development background? Even More ❯

data quality, integrity, and performance across distributed environments Contribute to the design of data architectures, storage strategies, and processing frameworks Work with cloud data platforms (e.g., AWS, Azure, or GCP) to deploy scalable solutions Monitor, troubleshoot, and optimize Spark jobs for performance and cost efficiency Liaise with customer and internal stakeholders on a regular basis This represents an excellent opportunity More ❯

of machine learning models Ensuring data quality, integrity, and performance across distributed systems Contributing to data architecture and storage strategy design Working with cloud data platforms (AWS, Azure, or GCP) to deploy scalable solutions Monitoring, troubleshooting, and tuning Spark jobs for performance and cost efficiency Engaging regularly with customers and internal stakeholders This is an excellent opportunity to join a More ❯

of machine learning models Ensuring data quality, integrity, and performance across distributed systems Contributing to data architecture and storage strategy design Working with cloud data platforms (AWS, Azure, or GCP) to deploy scalable solutions Monitoring, troubleshooting, and tuning Spark jobs for performance and cost efficiency Engaging regularly with customers and internal stakeholders This is an excellent opportunity to join a More ❯

highest caliber. Participate in solution reviews and contribute to technical decision-making. Knowledge, Skills, Experience and Qualifications Required to Perform the Role Familiarity with cloud platforms (Azure, AWS, or GCP). Experience with APIs or integration tools. Working knowledge and awareness of IT security requirements, associated risks, and mitigation. Desirable Knowledge of NAV, Business Central, Kelio, Shopify, Continia, PowerBI, Power More ❯

Specification: We're looking for someone with: Minimum 3 years' experience in a database developer/data engineer role Proficiency in SQL and Python Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with data pipeline tools (e.g., SSIS, Spark) Strong grasp of data warehousing and data modelling principles Experience undertaking development work in C# Ability to create and troubleshoot More ❯

event-driven, API-first). Knowledge of integration technologies and platforms (REST, SOAP, message queues). Excellent stakeholder management and communication skills. Experience with cloud platforms (e.g. AWS, Azure, GCP) is highly desirable. Desirable: TOGAF or equivalent architectural certification. Background in Agile/DevOps environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the More ❯

Degree in Computer Science, Engineering, Mathematics, or a related field. Proven experience in data or ML engineering. Strong knowledge of Python and SQL. Hands-on experience with cloud platforms (GCP or Azure) and Databricks. Familiarity with deploying ML workflows using MLflow, Vertex AI, or Azure ML. Nice-to-have: Experience with Spark, CI/CD pipelines, and orchestration tools. Knowledge More ❯

go-to-market strategies. Excellent written and verbal communication skills, with the ability to translate complex technical topics to both technical and non-technical stakeholders. AWS/Azure/GCP certifications, CISSP, CISM, or other security certifications are a plus Generous equity plan. Remote-first working environment with travel to our Oslo office and customer sites across Europe (London, Zurich More ❯

to design and implement robust data solutions. Required Skills/Experience: At least 2 years' experience working with Snowflake At least 2 years experience working with Azure, AWS, or GCP Data tools MS SQL expertise (querying, transforming, and managing datasets) Python competency Proficient in version control tools (ideally Git) Agile environment experience Desirable Skills/Experience: Experience in the retail More ❯

including new certification scheme - 1 st class career progression opportunities - Plus more What do I need? - Experience with CI/CD pipeline management ideally within Azure DevOps (AWS and GCP also considered) - Strong with IaC tools such as Terraform, Ansible or similar - Experience with automated testing tools such as Selenium or similar - Secure Secrets Management experience ideally with Azure DevOps More ❯

including new certification scheme -1st class career progression opportunities -Plus more What do I need? -Experience with CI/CD pipeline management ideally within Azure DevOps (AWS and GCP also considered) -Strong with IaC tools such as Terraform, Ansible or similar -Experience with automated testing tools such as Selenium or similar -Secure Secrets Management experience ideally with Azure DevOps More ❯

Excellent skill-up support including certification schemes 1st class career progression opportunities Plus more What do I need? Experience managing CI/CD pipelines (ideally Azure DevOps, AWS or GCP also considered) Strong with IaC tools such as Terraform, Ansible, or similar Experience with automated testing tools (e.g., Selenium) Secure secrets management experience (ideally with Azure DevOps) Version control with More ❯