1 to 25 of 80 Permanent GCP Jobs in Berkshire

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 ❯

RESTful APIs, microservices, and event-driven architectures. Hands-on experience with databases (SQL and/or NoSQL) and data modelling best practices. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerisation tools like Docker/Kubernetes . Experience with CI/CD pipelines , automated testing, and code quality tools. Solid understanding of software engineering principles: scalability, performance, and maintainability. More ❯

development of robust full-stack applications and APIs (Python/Django/Flask, React). Champion DevOps practices (CI/CD, Docker, Kubernetes) and cloud-native architectures (AWS, Azure, GCP). Guide cross-functional teams through agile delivery, technical planning, and product development. Translate business requirements into scalable technical solutions that support critical client outcomes. Analytics Engineering Leaders: Architect and More ❯

and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and 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 ❯

and microservices architecture. Basic knowledge of front-end technologies (HTML, CSS, JavaScript). Understanding of Agile methodologies. Familiarity with CI/CD pipelines and cloud platforms (e.g., AWS, Azure, GCP). Familiarity with Cloud technologies such as Azure and AWS. Familiarity with Atlassian applications such as Jira, Confluence and Bitbucket. What We Offer: Competitive salary and benefits including private healthcare More ❯

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 ❯

HTML, CSS, MaterialUI. Gitflow source code management. Event driven architecture - experience with one of SQS, Kafka, Azure Service Bus, Rabbit MQ. Microservice development. Typescript Cloud native development (AWS, Azure, GCP) CI/CD. NoSQL data modelling and access patterns Important Skills AWS: familiarity with S3, AppSync, SNS, SQS, Lambda, DynamoDB, MySQL, React AWS Infrastructure as Code: CDK and CloudFormation. Xunit. 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 ❯

Provide mentorship and technical direction to deployment teams during client projects to ensure efficient and secure execution. Key Traits: In-depth knowledge of public cloud platforms (e.g., AWS, Azure, GCP) and their application in AI and machine learning environments. Experience with designing and managing large-scale software systems, including distributed architectures, scaling strategies, and DevOps practices. Familiarity with the full More ❯

gRPC, and event-driven architectures. • Hands-on knowledge of API management platforms (e.g., Apigee, Kong, MuleSoft, AWS API Gateway). • Experience with microservices, cloud platforms (AWS/Azure/GCP), and containerization (Docker/Kubernetes). • Strong grasp of CI/CD, monitoring tools, and agile delivery practices. 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 ❯

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 ❯

.. • 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 ❯

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 ❯

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 ❯

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 ❯

business objectives into actionable technical strategies What you’ll bring 5+ years of experience as a Google Cloud Engineer/Architect Professional-level Google Cloud certification Strong knowledge across GCP services (Compute Engine, GKE, Cloud Storage, App Engine, etc.) Hands-on experience with infrastructure as code (Terraform) and automation (Python, Bash, CI/CD pipelines) Proven track record designing and 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 ❯

Kafka, SQL/NoSQL Should have experience in creating roadmap to improve platform Observability Experience in leading mid-scale teams with strong communication skills Experience in Machine Learning and GCP would be added advantage Must have experience in Banking or Insurance domain Must have experience working in Agile methodologies. More ❯

visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is an advantage. Knowledge of pensions, asset management, or wider financial services industry. Strong problem-solving, analytical, and communication skills — able to translate data into business insight. Location: London Finally More ❯

visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is an advantage. Knowledge of pensions, asset management, or wider financial services industry. Strong problem-solving, analytical, and communication skills — able to translate data into business insight. Location: London Finally More ❯

and models that power analytics across the company. Key Skills: 3–5+ years as a Data Engineer Hands-on with Databricks, Spark, Python, SQL Cloud experience (Azure, AWS, or GCP) Strong understanding of data quality, governance, and security Nice to Have: Delta Lake, DBT, Snowflake, Terraform, CI/CD, or DevOps exposure You’ll: Build and optimise ETL pipelines Enable More ❯