26 to 50 of 173 GCP Jobs in Berkshire

ReactJS/Svelte/Webpack/HTML/CSS · Security - Oauth2 · Build Tools - Nx Dev/Yarn/npm · Platform - Docker/Nginx Desirable Technical Skills · Serverless · AWS/GCP – API Gateway/Lambda · Orchestration Stack – Kubernetes/Nomad · Experience with Java and Python Education & Experience Bachelor’s degree in computing, science, or engineering. At least 3 years of software More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana More ❯

with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

systems such as MySQL, PostgreSQL, or NoSQL alternatives. Familiarity with frontend frameworks and state management libraries like Redux or Context API. Hands-on experience with cloud services (AWS or GCP), particularly for deploying and managing applications0. Strong understanding of RESTful API design (GraphQL experience a plus). Analytical mindset with the ability to design, optimise, and troubleshoot complex UIs and More ❯

use of technologies like the Claude Code SDK for various activities. What We're Looking For Technical Skills Core Infrastructure DevOps Expertise : Some experience with cloud infrastructure (Azure, AWS, GCP) including managing AI-specific considerations like rate limits and message limits. Knowledge of containerization with Docker. Backend Development : Ability to build robust, secure web servers capable of handling significant traffic. More ❯

systems (eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection and/or processing Worked in More ❯

practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control (Git) and software More ❯

to gaming and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale applications More ❯

encryption techniques. Knowledge of integration with enterprise systems, APIs, cloud services, and data pipelines. Hands-on experience with DevOps, containerization, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP) for blockchain deployment. Strong experience in solution architecture, technical leadership, and mentoring of engineering teams. Excellent communication, stakeholder management, and problem-solving skills with the ability to translate business needs More ❯

experience building ML Infrastructure and cloud architecture from scratch Key Details: Salary: £100k–£180k (flexible for strong profiles) + equity Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love More ❯

using JavaScript and modern front-end frameworks (e.g., React), while leveraging broader language experience (Java, Python) to support full-stack collaboration. Collaborate with cloud infrastructure teams (AWS, Azure, or GCP) to support performance optimization, environment configuration, and scalable feature delivery in cloud-native applications. Establish and maintain CI/CD practices (e.g., GitHub Actions, Jenkins), contributing to the automation of More ❯

.. • Proficiency in API management platforms (e.g., Azure API Management, Apigee). • Experience with integration technologies (e.g. Kafka, IBM MQ). Cloud & DevOps • Experience with cloud platforms (e.g. Azure, GCP). • CI/CD pipelines, Infrastructure as Code (e.g. Terraform, ARM templates). • API testing and automation frameworks. Soft Skills • Strong communication and stakeholder management. • Strategic thinking and problem-solving. More ❯

tools Collaborate with technical teams to develop end-to-end data pipelines YOUR SKILLS AND EXPERIENCE Essential: Proven Python backend development experience (FastAPI, Flask, or similar) Strong cloud experience (GCP preferred) and understanding of core web app infrastructure Skilled in automated testing (pytest) and modern DevOps tools (Git/GitHub, CI/CD) Experience working in agile environments and delivering More ❯

Architect Expert (AZ-305) certification Experience with Azure APIM , Logic Apps , and Event Grid Knowledge of FinOps , ISO 27001 , or NIST security frameworks Exposure to multi-cloud environments (AWS, GCP) Familiarity with Kanban delivery , architecture decision records (ADRs) , and collaborative design facilitation Why Join/Projects This isn’t just about cloud enablement - it’s about defining how a bank More ❯

different format of this document, 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 clients include some of the biggest brands in the UK and worldwide. For you, it … and thought leadership. Gain access 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 responsibilities: API Development: Design, develop More ❯

We’re Looking For: 0–2 years of experience in data engineering, analytics, or software development (internships and projects count!). Solid Python and SQL skills. Familiarity with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, etc.) . Understanding of ETL/ELT processes and database fundamentals. A motivated, proactive mindset with a strong desire to learn 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 ❯

TypeScript ). Experience with mobile app development (React Native or Flutter) or integration with iOS/Android apps. Backend expertise (databases, APIs, authentication, security). Cloud experience ( AWS/GCP/Azure , Docker, Kubernetes, CI/CD pipelines). Ability to integrate and deploy ML models into production. Startup mindset — ability to deliver with limited resources and wear multiple hats. More ❯

enabled customer experience transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave More ❯

offering the opportunity to define the data vision and enable meaningful business transformation. Key Responsibilities Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP). Develop ETL/ELT pipelines to manage structured and unstructured data at scale. Enable self-service BI and deliver insights through Power BI dashboards and advanced analytics. Integrate AI More ❯

and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. More ❯

Product Manager role, preferably in a B2B SaaS or AI/ML company. Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP). Proven ability to design and deliver compelling POCs and technical demonstrations. Excellent presentation, whiteboarding, and written communication skills. Ability to travel up to 30% for client meetings and industry More ❯

as AWS, Linux, Terraform, Ansible, HPC, GPU systems, and Slurm. We are looking for someone with experience in: hybrid or cloud based HPC solutions such as AWS, Azure, or GCP Advanced Linux system administration in research computing environments Workload management and scheduling tools such as Slurm, PBS, HTCondor, or Kubernetes Scripting and automation using Python, Bash, or Ansible Infrastructure as More ❯