76 to 100 of 467 GCP Jobs in the South East

on productionizing ML models and MLOps. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Hands-on experience with CI/CD pipelines, version control, and ML workflows (MLflow, Kubeflow). Proven track More ❯

Experience with distributed caching systems such as Redis, Hazelcast, or Apache Ignite Proficiency with Docker and containerized deployments Experience with cloud-based environments (AWS, GCP, or Azure; MongoDB Atlas a strong plus More ❯

. Hands-on experience implementing and managing microservices architecture on cloud and on-premises environment, including API management. Proficiency in cloud platforms (AWS, Azure, GCP) Excellent stakeholder management and communication skills, ideally in a global or matrixed environment. Knowledge of Digital solutions design patterns, principles and best practices. Proficiency in More ❯

Experience in the technical implementation of AI solutions, from proof-of-concept to full deployment. Cloud Computing : Experience working with cloud platforms (AWS, Azure, GCP) for deploying AI solutions, including familiarity with data platforms like BigQuery, Databricks or Snowflake. Business Acumen : Ability to translate technical AI concepts into clear business More ❯

Technical Skills : Proficiency in modern data platforms such as Databricks , Snowflake , Microsoft Fabric , Azure Synapse , or similar tools. Familiarity with cloud platforms (AWS, Azure, GCP) and experience in cloud data architecture. Expertise in SQL, Python, R, or other programming languages relevant to data engineering and AI/ML applications. Experience More ❯

Microservices - REST APIs - Docker/Kubernetes - Multi-threading - Worked in a fast-paced SME - Architecture/Design experience Desirable Skills: - AWS/Azure/GCP - Serverless architecture - DevOps practices - Kafka/RabbitMQ or similar - Data Modelling/API Visioning Benefits: - Salary up to £75,000 - Bonus up to More ❯

for new business opportunities. Qualifications Extensive experience in data engineering, with a strong understanding of modern data technologies (e.g., cloud platforms like AWS, Azure, GCP, and data tools such as Apache Spark, Kafka, dbt, etc.). Proven track record of leading and managing data engineering teams in a consultancy or More ❯

into applications. Background in high-growth startups or fast-moving environments. Hands-on experience with DevOps, CI/CD pipelines, and cloud infrastructure (AWS, GCP, or Azure) . Ability to work autonomously, solve complex problems, and iterate quickly. Bonus: Knowledge of creative production tools (Houdini, Nuke, DaVinci Resolve) or graph More ❯

backend software development. Solid programming experience in Java or another object-oriented language. Hands-on experience with microservices, RESTful APIs, and cloud platforms (AWS, GCP, or Azure). Familiarity with Docker, Kubernetes, and CI/CD best practices. A collaborative mindset and a desire to continuously learn and improve. Eligibility More ❯

proficiency in GoLang and Node.js You’ve highly comfortable with DevOps principles; experience with Kubernetes would be a plus! Exposure to cloud platforms, particularly GCP or AWS Familiarity with other robust backend programming such as Python Experience on the front-end, particularly JavaScript would be a bonus! What's in More ❯

Terraform/Ansible Kubernetes, Docker, or Podman CI/CD Python, Ruby or Go Desirable skills: IaC – Terraform, Helm, Ansible, Pulumi, Bicep AWS or GCP DR Block/Blob Storage HPC Please apply ASAP for more information. More ❯

platform solutions In depth knowledge of the Snowflake platform and capabilities Relevant experience of working with other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous Practical knowledge of GenAI and LLM offerings in the market Skilled in working on large More ❯

Experience with IaC, containers (AKS/Docker), and DevOps workflows. Azure certification(s) preferred (e.g., Azure Solutions Architect Expert ). Bonus: Familiarity with AWS, GCP, or hybrid cloud environments. 🚀 Why Join Us? Lead cloud innovation and shape strategy in a high-impact role. Work with modern tech in a collaborative More ❯

support real-time, distributed networking Build and optimize software for cloud, on-prem, and hybrid deployments Work with Kubernetes, Docker, and cloud technologies (AWS, GCP, or Azure) Implement and optimize algorithms for network routing, resource allocation, and system orchestration Collaborate with cross-functional teams of engineers, researchers, and industry experts More ❯

support real-time, distributed networking Build and optimize software for cloud, on-prem, and hybrid deployments Work with Kubernetes, Docker, and cloud technologies (AWS, GCP, or Azure) Implement and optimize algorithms for network routing, resource allocation, and system orchestration Collaborate with cross-functional teams of engineers, researchers, and industry experts More ❯

please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 with the subject line: “ Application Support Request” Role: Senior GCP Data Engineer. Job Type: Permanent Location: London, UK (Hybrid - 2 days WFO) Number of hours: 40 hours per week – full time We have an exciting … opportunity for you as a GCP Data Engineer. Careers at TCS: It means more TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our … to endless learning opportunities. Lead projects and inspire both colleagues and stakeholders. Lead a team and their technical growth. The Role As a Senior GCP Data Engineer you will be responsible for providing top-tier data capabilities, leveraging your engineering skills, and embracing the possibilities offered by cloud technology. Key More ❯

Docker, version control systems (Git), database deployment and container orchestration You have cloud experience, you'll be using Azure going forward but AWS or GCP experience is fine if you're happy to learn You have strong troubleshooting skills You're collaborative with great communication skills What's in it More ❯

cloud data infrastructure. Proficiency in multiple programming/scripting languages (e.g., Python, JavaScript, C++, Node.js). Experience designing and managing cloud platforms (AWS, Azure, GCP), databases (SQL/NoSQL), and real-time analytics. Demonstrated experience working with or deploying AI/ML models, especially in edge or IoT contexts. Understanding More ❯

Experience Required 5+ years in software engineering with 3+ years in senior management Proven success implementing AI-first software solutions Experience with cloud platforms (GCP, AWS, Azure) Track record scaling technical teams and delivering complex projects Deep knowledge of cybersecurity and data privacy regulations Proficiency in Python, Java, React, C# More ❯

practices in code quality, testing, observability and MLOps. You have experience with MLOps tools and practices (CI/CD, Docker, Kubernetes) and cloud platforms (GCP, AWS, or Azure). You're a smart, intense, and focussed individual willing to build things efficiently in a close team. You want to tackle More ❯

days remote) Nice to Have: Experience with front-end technologies (e.g., JavaScript, HTML, CSS). Knowledge of cloud technologies (e.g., AWS, Azure, Google Cloud Platform). Familiarity with Agile development methodologies. Mobilise are an equal opportunities employer and we are committed to equality of opportunity for all. Applications from all More ❯

ML technologies. Excellent communication and story telling skills—able to simplify technical concepts and craft compelling data‑driven narratives. Certifications in cloud (AWS/GCP/Azure) or BI tools (Tableau, Power BI). Demonstrable knowledge of data, technology and one or more data-focused programming languages such as SQL More ❯

pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms like AWS, GCP) Microservices and event-driven architecture Infrastructure as Code (Terraform, Bicep, Pulumi) DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor) Bonus: Exposure More ❯

years of experience writing software (Python, Java, Scala — whatever works) Know your way around SQL and databases Have touched cloud services (AWS, GCP, etc.) Enjoy solving problems, learning fast, and working with good people Bonus points if you’ve played with Airflow, Docker, or big data tools — but they’re More ❯

Technology, or related field. 7-10 years of relevant experience in infrastructure engineering or systems administration. Strong expertise in cloud platforms ( AWS, Azure, or GCP ) and virtualization technologies (VMware, Hyper-V). Proficient with networking concepts ( TCP/IP, DNS, VPNs, Firewalls ) and storage solutions ( SAN/NAS) . Hands More ❯