526 to 550 of 2,342 GCP Jobs in the UK

strong technical background ideally in .NET, with the ability to stay hands on when needed ** Commercial experience with cloud platforms (Azure preferred, AWS or GCP also considered) ** Excellent stakeholder management and communication skills ** Comfortable working across multiple teams and influencing at both strategic and technical levels ** Agile mindset with a More ❯

Exceptional oral and written communication skills, with proven stakeholder management abilities, including exposure to the Senior Leadership Team. Familiarity with Hyperscaler platforms, particularly Google Cloud Platform (e.g., Vertex AI) is preferred. Proficiency in technical languages and libraries such as Python and React. Solid understanding of technical architecture, including both on More ❯

NSX), or comparable solutions. Familiarity with container technologies and orchestrators such as Kubernetes, VMware Tanzu, OpenShift, or EKS. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud solutions is a significant advantage. Understanding of networking concepts, DevOps practices, and automation tools. Comprehensive perspective on IT landscapes and business system More ❯

pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms like AWS, GCP) Microservices and event-driven architecture Infrastructure as Code (Terraform, Bicep, Pulumi) DevOps/MLOps: CI/CD workflows, monitoring (Grafana, Prometheus, Azure Monitor) Bonus: Exposure More ❯

Computer Science, Software Engineering, or a related field Proven industry experience with Kubernetes and Docker Hands-on experience managing infrastructure in AWS, Azure, or GCP Strong understanding of event streaming and messaging queues such as Kafka Expertise in database systems including Redis, Elasticsearch, Neo4j, and PostgreSQL Proficiency in developing APIs More ❯

Computer Science, Software Engineering, or a related field Proven industry experience with Kubernetes and Docker Hands-on experience managing infrastructure in AWS, Azure, or GCP Strong understanding of event streaming and messaging queues such as Kafka Expertise in database systems including Redis, Elasticsearch, Neo4j, and PostgreSQL Proficiency in developing APIs More ❯

Familiarity with generative AI or applied ML systems in production settings—especially the associated risks (data drift, explainability, etc.). Exposure to cloud platforms (GCP, Azure, AWS) and related security or operational practices. Strong analytical mindset—able to weigh business value, risk exposure and system complexity in your assessments. A More ❯

qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design Strong communication skills for explaining More ❯

qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design Strong communication skills for explaining More ❯

a solid understanding of design practices, system architecture and conducting code reviews. Experience building applications for the cloud such as Azure (pref.), AWS or GCP Know how to build REST APIs and have experience of messaging Worked with defining data models and interacting with databases Built software that includes user More ❯

re looking for Strong experience with dbt Proficiency in SQL, Python, Pyspark, or other relevant data processing languages; familiarity with cloud platforms like AWS, GCP, or Azure is desirable Excellent problem-solving skills and attention to detail A passion for creating business value through data Strong communication skills, especially in More ❯

integrations for our lab information management system (Benchling) Work closely with lab and data scientists to understand their problems and offer solutions Use Google Cloud Platform to deploy, manage and secure applications and data. Work to maintain and improve the quality of our software, exemplifying best practices for testing, code More ❯

integrations for our lab information management system (Benchling) Work closely with lab and data scientists to understand their problems and offer solutions Use Google Cloud Platform to deploy, manage and secure applications and data. Work to maintain and improve the quality of our software, exemplifying best practices for testing, code More ❯

of software development to support and lead FTSE 100 clients. You will have access to the latest training and certifications, including AWS, Azure, and GCP, as well as our extensive courses and mentoring programs. Flexible working: We are guided by our client needs; however, you have autonomy to manage your More ❯

AWS, Athena SQL, Athena Spark, ECS, Azure, Azure Synapse SQL & Spark, Python, Flask, Fast API, Redis, Postgres, React, Plotly, Docker. We will potentially add GCP and on-premise in the future. What you can expect as a Senior Software Engineer at Monolith AI: As a Senior Software Engineer at Monolith More ❯

for Strong experience with dbt. Proficiency in SQL, Python, Pyspark, and/or other relevant data processing languages. Familiarity with cloud platforms like AWS, GCP, or Azure is desirable. Excellent problem-solving skills and attention to detail. A passion for creating business value through data. Strong communication skills, especially in More ❯

Strong experience with Django, Flask, or similar Python web frameworks. Proven ability to design and implement scalable, cloud-based solutions (e.g., AWS, Azure, or GCP). Proficiency in relational and non-relational databases (e.g., PostgreSQL, MongoDB). Hands-on experience with RESTful API design and implementation. Solid understanding of software More ❯

towards our target AWS data platform. Cloud Awareness/Experience: Exposure to or hands-on experience with cloud platforms (AWS preferred, but Azure or GCP experience relevant) and core data services (e.g., S3, Redshift, Lambda, Glue). A willingness to learn AWS is key. Data Modelling Concepts: Understanding of fundamental More ❯

towards our target AWS data platform. Cloud Awareness/Experience: Exposure to or hands-on experience with cloud platforms (AWS preferred, but Azure or GCP experience relevant) and core data services (e.g., S3, Redshift, Lambda, Glue). A willingness to learn AWS is key. Data Modelling Concepts: Understanding of fundamental More ❯

looking for: Technical excellence across the Data Engineering ecosystem: We primarily work in python, go and SQL. Our code (tracked via github) deploys to GCP (Bigquery, Airflow/Composer, GKE, Cloud Run), dbt Cloud and Azure via terraform. We recognise this is a broad list; if youre not deeply familiar More ❯

looking for: Technical excellence across the Data Engineering ecosystem: We primarily work in python, go and SQL. Our code (tracked via github) deploys to GCP (Bigquery, Airflow/Composer, GKE, Cloud Run), dbt Cloud and Azure via terraform. We recognise this is a broad list; if you're not deeply More ❯

experience Experience in game development (preferably multiplayer or online games) Experience with Linux or other Unix-based systems Experience with cloud services (e.g., AWS, GCP, or Azure) Familiarity with containerization (Docker, Kubernetes, etc.) Experience with debugging tools like GDB or similar Familiarity with database management systems and data storage solutions More ❯

API questions (Java experience preferred). Efficiently troubleshoot cluster issues across multiple servers, data centers, and regions, in a variety of clouds (AWS, Azure, GCP, etc), virtual, and bare metal environments. Possess demonstrated proficiency in Linux (primarily) and Windows (secondary) environments ( and most common OS's, respectively). Background in More ❯

to haves: Experience building underwriting teams: Proven success in recruiting and mentoring team members to drive underwriting excellence. Familiarity with Cloud solutions (AWS, Azure, GCP): Understanding of modern hosting and deployment environments. Mentorship capabilities: A track record of coaching individuals and fostering professional growth. Deep knowledge of underwriting trends and More ❯

design, and business stakeholders. Optimising performance, security, and system resilience at scale. Scalable DevOps practices, including CI/CD pipelines and cloud infrastructure (AWS, GCP, or similar). Operationalising agentic AI and integrating AI-driven tooling into production systems. Don't worry about ticking every box - if you're passionate More ❯