12 of 12 Remote GCP Jobs in Slough

such as: ML.NET TensorFlow/PyTorch (for integration with .NET) Azure Cognitive Services/OpenAI/AI APIs Knowledge of RESTful APIs , microservices, and cloud platforms (Azure, AWS, or GCP) Familiarity with SQL and NoSQL databases Understanding of data preprocessing, feature engineering, and model deployment Experience with unit testing, CI/CD, and version control (Git) Strong problem-solving skills More ❯

Senior Java Developer with architecture responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong More ❯

Expert-level Python (scikit-learn, pandas, etc.), SQL, and big data platforms (e.g. Databricks) Proven experience with MLOps : deploying, monitoring, and scaling models in production Strong cloud experience (AWS, GCP, or Azure) and comfort with CI/CD pipelines Broad data science expertise spanning classic ML, deep learning, and cutting-edge AI/agent approaches Strategic thinker who can balance More ❯

part of a team. Desirable Skills: Experience with TypeScript . Knowledge of Node.js and server-side JavaScript. Familiarity with CI/CD pipelines and cloud platforms (AWS, Azure, or GCP). Experience working in Agile/Scrum environments. Why Join Us: Work on challenging projects with a supportive team. Opportunity to gain exposure to the latest web technologies. Flexible working More ❯

Proven success delivering architecture across large-scale or complex transformation initiatives Expertise across relevant domains, particularly application, integration, and platform architecture Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern approaches (APIs, microservices, DevOps) Skilled in navigating delivery environments (Agile, hybrid, regulated change) Familiarity with architectural modelling tools and frameworks (TOGAF, ArchiMate, UML, etc.) Confident engaging with both More ❯

Strong academic background (MSc/PhD in Data Science, Computer Science, Statistics, or similar). Experience managing or mentoring junior talent. Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks. A confident communicator able to influence across technical and executive teams. 🎁 Benefits & Perks You’ll enjoy a comprehensive benefits package designed to support you both More ❯

within a consultancy environment – with proven ownership of full bid lifecycles on deals £5m+. Broad application architecture expertise across multiple technology stacks and strong cloud experience (Azure, AWS, or GCP). Commercially aware, able to confidently engage with senior stakeholders and quickly shape solutions under pressure. Presence, quick thinking, and strong communication – someone who can command a room and win More ❯

least one domain: Business, Data, Application, Technology, or Security. Demonstrated ability to work with engineering teams, providing technical leadership and architectural direction. Experience across major cloud platforms (AWS, Azure, GCP). Certifications in cloud technologies or architecture frameworks (e.g. TOGAF) are highly desirable. If you're an experienced solutions architect ready to shape high-impact digital solutions, apply today. More ❯

segmentation, and access controls. Hands-on experience with operating systems (Windows, Linux, UNIX) and their security requirements. Proven experience with cloud security architecture; direct Azure expertise preferred, AWS and GCP experience beneficial. Strong knowledge of security frameworks and standards (e.g. NIST 800-53, ISO 27001/27002, CSA CCM/CIAQ, MITRE). Developed understanding of the cyber threat landscape More ❯

working with Power BI and SQL in a commercial environment Strong stakeholder management skills – able to balance priorities and educate non-technical users Experience working with cloud platforms (AWS, GCP, or Azure) A business-savvy mindset – you understand data, but more importantly, how it impacts growth and revenue Benefits: £50,000 – £70,000 salary DOE Huge opportunity to own BI 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 ❯

/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 ❯