1 to 25 of 48 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 ❯

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 ❯

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 ❯

best practices to continuously enhance data engineering capabilities. Looking at our current pipeline of work, we can also consider those with an Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial. A bit about YOU! As much as we just love working with great, fun people, there 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 ❯

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 ❯

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 trusted relationships. SKILLS AND EXPERIENCE 7+ years in analytics with leadership and consulting experience. Strong SQL and data modelling skills; expertise in cloud platforms (Snowflake, Azure, AWS, or GCP). Proficiency in BI tools (Power BI or Tableau). Strong commercial awareness and stakeholder management skills. Hands-on with, or exposure to, AI/ML techniques. This role cannot More ❯

Data & Analytics) environments. Proficiency in Python, PySpark, or other relevant programming languages. Understanding of data modelling, ETL processes, and data pipeline design. Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing tools. Exposure to BI tools such as Power BI, Tableau, or Qlik. Knowledge of version control systems (e.g., Git) and collaborative development workflows. Experience or knowledge of 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 ❯

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 ❯

responsibleforateamof3Developers1SRE. Requiredexperience: ProvenExperience:5+yearsinsoftwareengineeringwithastrongbackgroundinJavadevelopment,andatleast2yearsinanengineeringmanagementortechnicalleadershiprole. Java&EcosystemExpertise:DeepknowledgeofJavaandcommonframeworkssuchasSpring/SpringBoot,Hibernate,andRESTfulservices SystemDesign:ExperiencearchitectingandscalingdistributedsystemsbuiltinJava DeliveryFocused:Trackrecordofmanagingagiledelivery,backlogrefinement,andreleaseplanningforJava-basedapplications. IncidentManagement:Hands-onexperienceleadingincidentresponse,debuggingJVM-relatedproductionissues,andproducingRCAdocumentation. Cloud&DevOpsKnowledge:FamiliaritywithdeployingandrunningJavaapplicationsoncloudplatforms(AWS,GCP,orAzure),usingCI/CDpipelines,containers(Docker,Kubernetes),andinfrastructure-as-code. OperationalMindset:Proficiencywithmonitoring,logging,andobservabilitytools(e.g.,Prometheus,Grafana,ELK,Splunk)forJavaworkloads. SecurityAwareness:UnderstandingofsecurityconsiderationsspecifictoJavaapplications,includingdependencymanagement,OWASPvulnerabilities,andsecurecodingpractices. FinancialAcumen:Abilitytomanagebudgetsandoptimizespendonoperationaltoolsandservices. Client-FacingSkills:Comfortableengagingwithclientstoexplaintechnicalissuesinaccessiblelanguage 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 ❯

incident response. Hands-on experience with tools like Splunk, Sentinel, QRadar, or similar. Ability to engage with both technical and non-technical stakeholders. Familiarity with cloud environments (Azure, AWS, GCP) and hybrid architectures. Bonus Points For: Certifications such as CISSP, CISM, or SANS GIAC. Experience in MSSP environments or large-scale enterprise SOCs. Knowledge of automation and scripting (Python, PowerShell More ❯

CACI Network Services is a rapidly expanding specialist IT and Networks consultancy offering a wide variety of opportunities to work within challenging and exciting environments with our major clients in Global Media, Banking, Government, Telecoms & Utilities. Project Overview: Our customer More ❯