76 to 100 of 349 Google-Cloud-Platform Jobs in Slough

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 ❯

a focus on efficiency and code quality Proven experience building and managing integrations (APIs, SFTP, SharePoint, webhooks) Familiar with CI/CD, Docker, and cloud platforms (AWS, Azure, GCP) Computer Science or STEM degree ideally What’s on Offer Competitive base salary + share option plan Pension & Private healthcare Remote/Flexible hybrid working – only 2 days per fortnight More ❯

Hands-on exposure with at least two major MarTech products (Adobe AEP/AEM, Braze, SFMC, Tealium, Segment, or mParticle). Deep understanding of cloud platforms (AWS/GCP/Azure), streaming technologies (Kafka, Pub/Sub), and data warehouses (Snowflake, BigQuery). Proficiency in SQL, a scripting language (Python/Node.js), and familiarity with infrastructure-as-code (Terraform More ❯

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 ❯

model development, optimisation, and deployment. Deep understanding of ML Engineering and MLOps principles (cloud-based pipelines, CI/CD, monitoring, reproducibility). Experience with Python, SQL & Azure (AWS & GCP is also fine). Exposure to GenAI or LLM tools and frameworks is a strong advantage. Strategic thinker with the confidence to lead technically and shape the roadmap for ML More ❯

Hands-on experience with Python libraries and frameworks (NumPy, Pandas, Airflow, FastAPI, Flask, SQLAlchemy) Highly proficient in asynchronous, event driven distributed systems Working knowledge of cloud-native architectures, GCP preferred Experience in Go and working with real-time data streams What we offer Unique opportunity to work on new, cutting-edge technology in financial trading Self-funded and already More ❯

CI/CD, and automation tools. Strong communication skills and ability to work with technical and non-technical teams. Nice to have: Cloud computing experience (Azure, AWS, or GCP). Knowledge of AQR Reporting (ECB). Exposure to Agile delivery environments. Understanding of enterprise architecture standards. Apply now or email Barry.Ansell@HarringtonStarr.com for a faster review. More ❯

Experience of deep analysis gaining actionable insight from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for longer than More ❯

credit risk, or risk analytics. Proficiency in programming languages such as Java, Python, or Scala, and familiarity with modern frameworks. Experience working with cloud platforms (AWS, Azure, or GCP). Strong grasp of the software development lifecycle, agile methodologies, and DevOps principles. Excellent communication and stakeholder management abilities. Demonstrated capability to lead cross-functional teams and deliver complex technical More ❯

International Trade. They are looking for a motivated Java Software Developer with experience with: Java Spring Boot Microservices Containerisation using Docker, Kubernetes Developing cloud-native applications with AWS, GCP, Azure SQL, NoSQL and other tools and scripting skills As a Java Software Developer, you will enjoy fantastic benefits: Bonus Private health insurance (covering eye and dental too) Life assurance More ❯

telecom technologies (OSS, BSS, IMS, NAT/CGNAT, IPv4/IPv6). Understanding of Big Data and data governance. Strong knowledge of cloud platforms including AWS, Azure, and GCP, as well as hybrid/private data centres. Experience with CI/CD tools and technologies such as Kubernetes, Docker, GitOps, Prometheus, Grafana, ELK Stack, and Datadog. Experience leading multi More ❯

AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or consulting roles More ❯

with a willingness to cross-train into Go). The wider application stack also includes Python and Ruby , and the platform is hosted on AWS (with migration to GCP underway). What You’ll Do Design and build scalable microservices in Go , contributing to a growing distributed architecture. Develop intuitive, performant React components that enhance the user experience. Collaborate More ❯

in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data pipelines, and model evaluation ☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools (Git) 💬 Excellent communication, problem-solving, and teamwork skills If you’re passionate about turning AI research into practical, real-world solutions — and ready to More ❯

automating wherever possible. Core skills required: Linux Chef, Puppet or Ansible Kubernetes, Docker, or Podman CI/CD Python Desirable skills: IaC – Terraform, Helm, Ansible, Pulumi, Bicep AWS or GCP DR Block/Blob Storage HPC Please apply ASAP for more information. More ❯

with senior engineers, architects and clients to identify automation and optimisation opportunities Develop models, pipelines and tooling that integrate seamlessly into enterprise-grade cloud environments (AWS, Azure or GCP) Shape and scale the AI roadmap as the team grows, with a clear path to Head of AI You'll have Strong engineering background with experience deploying production-grade AI More ❯

Engineering or Data Platform development Experience working with First-Party Data Strong SQL and Python fluency (data transformations, orchestration, automation) 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 ❯

well-tested code Create and optimise RESTful APIs with strong attention to performance and security Model and optimise MongoDB schemas for scalable data access Deploy and maintain services on GCP , using CI/CD pipelines (GitHub Actions) Diagnose and resolve backend performance or scalability issues Collaborate in an agile environment with cross-functional teams Qualifications Degree in Computer Science or More ❯

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 ❯

backend software engineering skills You have experience of building FastAPIs You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine You have experience of working with data at scale You have strong SQL skills (PostgreSQL, SQL Server and ideally Databricks, or happy to learn it) You have a More ❯

or Master’s degree in Computer Science, AI, Engineering, or related discipline (preferred). Preferred/Advantageous Certifications Advanced cloud certifications (AWS Solutions Architect, Azure AI Engineer Associate, GCP AI/ML Engineer). Vendor-specific CX/CCaaS certifications (Genesys Cloud, Amazon Connect). Specialist AI/ML certifications (TensorFlow, Hugging Face, OpenAI, or equivalent). Benefits More ❯

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 ❯

Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in a More ❯

be a fit if you: Have built projects in React + TypeScript (through uni, side projects, or internships) Understand the basics of APIs, databases, and cloud services (AWS, GCP, or similar) Are excited to learn how to build and scale real products used by customers Are curious about AI, automation, and code-assist tools (Cursor, Copilot, ChatGPT, etc.) Care More ❯

relationships and ensure alignment between business goals and technical delivery. What You’ll Bring 5+ years in data engineering with proven delivery in cloud platforms (AWS, Azure, or GCP). Expertise in Snowflake development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with cloud native storage and compute tools: S3 More ❯