201 to 225 of 1,150 GCP Jobs in the UK

with SAP Ariba, Cloud Integration Gateway (CIG), and SAP BTP Experience defining enterprise architecture or technology strategies. Exposure to multi-cloud environments (Azure, AWS, GCP). Experience with DevSecOps, platform engineering, and automation frameworks. TOGAF, SAP, cloud, or integration platform certifications. ...

SonarQube, Docker, Kubernetes). Proficiency with source control systems (Git), including branching strategies and code review practices. Hands-on experience with cloud platforms (especially GCP), Kubernetes, Docker, and Infrastructure as Code. Familiarity with monitoring, logging, alerting, and SRE concepts (Prometheus, Grafana, ELK, etc.). Experience with test automation tools (JUnit ...

engineering productivity, quality and delivery What you'll bring Strong experience with Python and SQL Expertise building modern data platforms on Azure, AWS or GCP Strong ETL and ELT engineering experience Data modelling and data warehousing expertise CI/CD, Git and engineering best practice Previous experience leading, mentoring ...

supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency ...

blueprints and participate in peer code reviews to maintain high engineering standards. As a Data Engineer you will have the following key skills Cloud: GCP Warehousing: BigQuery/Snowflake Orchestration: Airflow Backend: Python, SQL, Shell Languages: Scala/Java DevOps: Terraform, Docker, Kubernetes Observability: Monte Carlo BI: Looker AI/ ...

microservices and DevOps practices Solid understanding of regulatory, risk and compliance requirements (e.g. PSD2, PCI DSS, GDPR) Experience with cloud platforms (AWS, Azure or GCP) and modern data platforms Benefits: £110,000 crica/25% bonus/28 days holiday/Holiday Purchase Scheme/Occasional travel/Health Insurance ...

microservices and DevOps practices Solid understanding of regulatory, risk and compliance requirements (e.g. PSD2, PCI DSS, GDPR) Experience with cloud platforms (AWS, Azure or GCP) and modern data platforms Benefits: £110,000 crica/25% bonus/28 days holiday/Holiday Purchase Scheme/Occasional travel/Health Insurance ...

core Big Data Analytics domain with some exposure to advanced proofs‐of‐concept and an understanding of a major public cloud platform (AWS, GCP, Azure). Experience diving deeper into solution architecture and design. The role requires travel to customer sites in the UK. Travelling approx. ...

platform engineering roles in a high-growth tech company (scale-up) or equivalent. Strong hands-on expertise with cloud platforms (AWS/Azure/GCP), infrastructure as code (ideally Terraform), containers (Docker), container orchestration (Kubernetes), and CI/CD tooling. Proven track record of building and managing CI/ ...

core Big Data Analytics domain with some exposure to advanced proofs‐of‐concept and an understanding of a major public cloud platform (AWS, GCP, Azure). Experience diving deeper into solution architecture and design. The role requires travel to customer sites in the UK. Travelling approx. ...

industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning ...

dependency risk management. Hands‐on experience integrating repositories with GitHub, Jenkins, and Azure DevOps pipelines. Experience working in cloud environments (Azure preferred; AWS/GCP acceptable). Proficiency with automation and scripting (Python, Groovy, Terraform, etc.). Knowledge of modern SDLC and DevSecOps operating models. Compensation/Benefits Information (This ...

skills using Linux or WSL SIEM and log routing experience in tools such as Splunk, Sentinel, Cribl, and ELK Familiarity with AWS, Azure, and GCP services Proficiency in scripting or programming (Python, Bash, PowerShell) Excellent problem-solving, analytical, and communication skills Experience with IDS/IPS solutions, vulnerability management ...

skills using Linux or WSL SIEM and log routing experience in tools such as Splunk, Sentinel, Cribl, and ELK Familiarity with AWS, Azure, and GCP services Proficiency in scripting or programming (Python, Bash, PowerShell) Excellent problem-solving, analytical, and communication skills Experience with IDS/IPS solutions, vulnerability management ...

MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails ...

hands‐on technical work, ensuring seamless translation of vision into actionable outcomes. Familiar with hyperscaler AI/ML services (Azure OpenAI, AWS Bedrock, GCP Vertex AI), capable of architecting and delivering cloud‐native solutions, driving joint co‐sell motions with hyperscaler partners, and accelerating adoption through marketplace offerings. Operationalizes ...

data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience with graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB) and knowledge ...

Apple's technology stack Experience building and operating enterprise‐grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on‐prem environments Preferred Qualifications Demonstrated ability to deliver end‐to‐end AI products - from problem framing and experimentation through to globally deployed ...

data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience with graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB) and knowledge ...

using command-line tooling. Experience deploying and scaling AI/ML solutions into production environments. Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable. Published research in peer-reviewed journals or conferences. Experience writing technical proposals, bids or research funding submissions. What's on Offer Opportunity ...

skills and experience Experience working within streaming, video platform or other large‐scale web environments. Knowledge of cloud and container technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI‐driven testing and integrating AI/ML into QA practices. Leadership experience ...

programming languages (right tool for the job mentality) Work with databases (Postgres, MySQL, MongoDB) Work with (and learn around) cloud platforms such as AWS, GCP and/or azure Debug in a range of systems Work on your own self-development - we value keen learners Have a drive to deliver ...

skills and experience: Experience working within streaming, video platform or other large-scale web environments. Knowledge of cloud and container technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI-driven testing and integrating AI/ML into QA practices. Leadership experience ...

Required Experience Strong background delivering cloud-based and modern software solutions. Experience leading engineering teams within Agile environments. Hands‐on experience with Azure, AWS, GCP, or other enterprise cloud platforms. Hands‐on knowledge of CI/CD, Infrastructure as Code, containers, and modern engineering/development practices. Software engineering experience ...

Flexible hybrid working The Role Lead Agile software engineering teams delivering enterprise-scale solutions Design and build cloud-native applications across AWS, Azure or GCP Stay hands-on with architecture, coding and technical decision-making Mentor engineers and champion engineering best practice Collaborate with clients to translate business requirements into ...