22 of 22 GCP Jobs in Merseyside

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

automation Advanced SQL (optimisation, analytical functions, modelling) ETL/ELT pipeline design, build, and orchestration Docker and containerisation Cloud environments (Azure, AWS, or GCP) Version control (Git) Bonus points for: Airflow, Prefect, dbt, or cloud-native orchestration CI/CD and deployment automation Data warehousing fundamentals (star schema, staging patterns ...

happy to work in a Golang-first environment Scalable systems: experience with microservices, event-driven architecture, and high-throughput APIs Cloud-native: AWS or GCP experience, containerisation, orchestration, and horizontal scaling Product-focused mindset: enjoys building systems that directly improve user experience and business outcomes Collaboration: Agile, TDD, CI/ ...

architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them) IaC literacy (ideally Terraform) Software Architecture Microservices, monoliths ...

team development environment Thorough understanding of Computer Science fundamentals such as Data Structures, Algorithms and Design Patterns Amazon Web Services, Azure, or Google Cloud Platform Desirable Kafka Agile awareness, Jira, Bitbucket Python MariaDB PostgreSQL + Timescale Build Systems (Bamboo, Jenkins, etc) SQL and NoSQL technologies You will have knowledge ...

libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious environments. Nice-to-Have: Experience in domains such as NLP, behaviour analytics ...

infrastructure hardening. Familiarity with modern software development practices, DevSecOps, and cloud-native architectures (preferably Python eco-system, Kubernetes and Azure/AWS/GCP). Excellent communication skills with the ability to influence stakeholders and explain security to both technical and non-technical audiences. Experience working with auditors, external assessors ...

Experience across the full data science project lifecycle from development to deployment and maintenance of models. Confidence working with cloud platforms such as AWS, GCP, or Azure. The ability to build credibility with stakeholders and communicate findings in a clear, concise way. A mindset of continuous learning and improvement. ...

data focus. Strong programming skills in Python, SQL or Java. Hands on experience with at least one major cloud platform (Azure, AWS or GCP). Exposure to big data technologies such as Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding ...

data focus. Strong programming skills in Python, SQL or Java. Hands on experience with at least one major cloud platform (Azure, AWS or GCP). Exposure to big data technologies such as Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding ...

data focus. Strong programming skills in Python, SQL or Java. Hands on experience with at least one major cloud platform (Azure, AWS or GCP). Exposure to big data technologies such as Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding ...

serverless data solutions Apply software engineering fundamentals to data engineering challenges Technology Stack Snowflake dbt Airflow SQL (strong focus) Cloud platforms (AWS, Azure, or GCP) Containers and Function Apps SQLMesh (or similar data transformation frameworks) Requirements 2-3 years' experience as a Data Engineer or similar role Strong SQL skills ...

live virtual sessions Nice to Have Experience with real-world datasets or industry projects Exposure to SQL, Power BI, Tableau, or Cloud (AWS/GCP/Azure) Background in mentoring working professionals or fresh graduates Contract Details Type: Contractual/Freelance Mode: Fully Remote Duration: As per cohort/program ...

standards. Key Responsibilities: Lead cloud and DevOps delivery across multi-disciplinary agile teams Own delivery strategy, roadmaps, and governance Oversee cloud platforms (Azure, AWS, GCP) and DevOps practices Manage stakeholders, suppliers, and SLAs Ensure compliance with GDS, NCSC, and public sector standards Required Experience: Strong background in service or delivery ...

Stakeholder Engagement Understanding of a framework for modern ELT workflows i.e., dbt, sql-mesh etc. Experience working with a cloud platform i.e., AWS, Azure, GCP etc. Understanding of CI/CD concepts Strong Python skills Advanced SQL skills TO BE CONSIDERED... Please either apply by clicking online or emailing ...

Stakeholder Engagement Understanding of a framework for modern ELT workflows i.e., dbt, sql-mesh etc. Experience working with a cloud platform i.e., AWS, Azure, GCP etc. Understanding of CI/CD concepts Strong Python skills Advanced SQL skills TO BE CONSIDERED... Please either apply by clicking online or emailing ...

respond to sudden unexpected demands Desirable criteria: Experience with CI/CD pipelines, cloud platforms (e.g., Amazon Web Services, Google Cloud Platform (AWS, GCP), Azure) and container orchestration (e.g., Kubernetes) Experience with post-incident reviews Previous involvement in driving adoption of SRE practices across an organization Experience delivering training ...

inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas: Computer … data/ML workloads across at least two of the three major cloud platforms: AWS (Sagemaker, EMR, S3), Azure (Azure ML, Synapse Analytics), and GCP (Vertex AI, BigQuery). Data Architecture: Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context. 2. ...

taking responsibility for deployments, testing, reliability, debugging, and performance. Have strong experience with: Node.js, Express.js React/Next.js (or similar) PostgreSQL/SQL Firestore GCP & Firebase Thrive in fast-paced, ambiguous, high-ownership environments. Bonus: Experience in hospitality tech or fintech. Tech Stack Languages & Frameworks: Node.js, Express.js, JavaScript, TypeScript, React … Next.js Styling: Tailwind CSS Databases: Firestore, PostgreSQL/SQL Infrastructure: Google Cloud Platform (GCP), Firebase Bonus: Experience building or integrating APIs at scale About the Company This start-up is reinventing how hospitality businesses connect with their customers, combining fintech-level reliability, smart integrations, real-time data, and delightful user ...

Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem. You'll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture … products. What You'll Be Doing Design, develop, and deploy advanced machine learning and deep learning models into production. Architect scalable LLMOps pipelines on GCP/Vertex AI, including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows ...

Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights to senior stakeholders. Only … reinsurance, or life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial analytics. Rate: D.O.E Outside IR35 Location: Full remote ...

Cyber Security Engineer Remote-first (UK) | Occasional onsite work - £55 - £70k We're partnering with a forward-thinking cybersecurity services provider that helps organisations detect, respond to, and contain advanced threats across modern, cloud-first ...