1 to 25 of 47 Permanent GCP Jobs in Berkshire

Designing and implementing CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI Managing infrastructure as code (Terraform, Pulumi, CloudFormation) Supporting cloud environments (AWS, Azure, or GCP) Monitoring and optimizing system performance and reliability Collaborating with development and operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments More ❯

TDD, and pair programming practices Experience with CI/CD pipelines and automation tooling Knowledge of Docker, Kubernetes, Jenkins, or GitLab CI Experience with cloud platforms such as AWS, GCP, or Azure Apply now to join a high-impact team delivering cutting-edge ecommerce and cloud solutions at national scale. Please note: You must be UK-based and have the 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 : £40,000 – £45,000 plus More ❯

Experience: 10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

independently as well as part of a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): Familiarity with cloud platforms (Azure, AWS, or GCP) Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity to shape More ❯

timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments More ❯

of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have Experience with transformer More ❯

Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast More ❯

scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business growth. You will be based in our London office. International travel will More ❯

What You Bring - 7+ years in technical sales or presales (MEDDPICC is a plus) - Hands-on with Docker, Kubernetes, CI/CD, Git, Linux, and cloud platforms (AWS, Azure, GCP) - Strong communicator with a customer-first mindset - Experience building scalable pipelines and microservice Ready to shape the future of software delivery? Apply now and let’s build something extraordinary. More ❯

into business solutions. 🌟 It’s a Bonus If You Have: Experience in SaaS, fintech, or software product companies. Knowledge of big data frameworks (Spark, Hadoop) or cloud platforms (AWS, GCP, Azure). Experience building and deploying models into production. A strong interest in AI, automation, and software innovation. 🎁 What’s in It for You: Impact: Work on products used by More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯

Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would be beneficial This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

engineering, specifically in the context of generative AI and machine learning applications. Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions. Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

in user research and ability to translate user feedback into actionable product roadmaps. Desired: Experience with API development and integration. Experience working with cloud-based platforms (e.g., AWS, Azure, GCP). Experience in managing external vendor relationships (optional, but a plus). What you’ll get back from us Alongside being challenged daily and a real interest in your development More ❯

of networking protocols, operating systems and cyber security concepts and technologies. Experience in forensic tools and malware analysis is a plus. Experience with Cloud environments such as AWS/GCP/Azure is a plus. Ability to work across different regions in a process/procedure driven organisation. Excellent verbal and written communication and presentation skills. Senior Security Operations Analyst More ❯

and version control best practices in a collaborative engineering environment. Strong communicator - able to engage with both technical and non-technical colleagues. Nice to Have Skills Experience working with GCP (BigQuery) or other modern cloud-native data warehouses (e.g. Snowflake, Redshift). Familiarity with data pipelining and orchestration systems (e.g. Airflow). Understanding of modern analytics architectures and data visualisation More ❯

Role/Job Title: GCP Cloud Developer Work Location: Warwick, UK (3days) Role We are seeking a skilled and motivated GCP Cloud Developer with hands-on experience designing and implementing scalable cloud-based solutions using Google Cloud Platform (GCP). The ideal candidate will have a solid background in developing serverless applications, managing cloud storage and databases, and integrating with … functional teams to define and deliver high-quality solutions. Essential Skills/Knowledge/Experience Proficiency in Python or Node.js for cloud function development. Hands-on experience with Google Cloud Platform services mentioned above. Strong understanding of cloud-native application design. Familiarity with Apigee and API gateway configuration. Working knowledge of Excel macros/VBA scripting. Good understanding of version … control practices and tools like Azure DevOps Repos. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. GCP certifications such as Associate Cloud Engineer or Professional Cloud Developer. Experience with CI/CD automation on cloud platforms. Background in working with large datasets and ETL pipelines. JBRP1_UKTJ More ❯

DevOps: Familiarity with CI/CD tools such as GitHub , Jenkins , Harness , and containerization using Docker and Kubernetes . Cloud Platforms: Experience with cloud environments, preferably Google Cloud Platform (GCP) . Automation & Testing: Hands-on experience with automated testing frameworks like Jest , Cypress , and Pact . Strong understanding of software architecture principles including microservices, service-oriented architecture (SOA), and design More ❯

messy data A consulting approach - proactive, collaborative, and detail-driven Nice to Have: Experience with UK Local Government datasets or public sector systems Familiarity with cloud platforms (Azure, AWS, GCP) Knowledge of spatial data tools (ArcGIS, QGIS) Experience with document management systems and data validation processes What's in it for You? Salary up to £55,000 depending on experience More ❯

solutions Leveraging modern cloud platforms and visualisation tools to drive client value 🛠️ Tech & Experience We’re Looking For Strong SQL and Python skills Experience with cloud platforms such as GCP or Azure Hands-on with BigQuery , Synapse , or similar data warehouses Familiarity with data visualisation tools — D3.js or similar Proven client-facing experience Previous consultancy experience is highly desirable This More ❯

Achieve annual revenue generation and growth targets Required Education and/or Experience: Channel Development: 3-6 years’ experience building or managing formal partnerships Key partnership experience: AWS, Azure, GCP, Snowflake, Red Hat and other complimentary partnerships Business Process Skill: 3-6 years’ experience in working with Channel Partnership organizations and business process mapping across key business and industry segments. More ❯

For from the Lead Enterprise Architect Proven experience as an Enterprise Architect focused on technology and platform strategy. Hands-on experience with legacy system modernisation, cloud platforms (Azure, AWS, GCP), and IT transformation programmes. Experience leading or supporting M&A integration projects, including system consolidation and rationalisation. Strong stakeholder management and influencing skills, capable of working with senior executives. Comfortable More ❯