476 to 500 of 2,312 GCP Jobs in the UK

Required skills/expertise: Strong command of Go Experience with building services on top of Kubernetes Experience with building services on at least two major cloud providers (e.g. AWS, GCP, Azure) Experience with on-premise production deployments Qualifications Bachelor's degree (or equivalent) in Computer Science or a related field Strong coding skills with demonstrated proficiency in programming languages, such More ❯

backend technologies including Python, with a deep understanding of software architecture and design principles, ability to evaluate different approaches to balance performance, cost, and maintainability Experience with cloud platforms (GCP, AWS) is a must Experience with relational and NoSQL databases, with a focus on best practices in data modeling and performance optimization Hands-on experience with building and scaling microservices More ❯

Spark, Databricks, Airflow, Docker etc Commercial Containerisation & Infrastructure as code experience Previous work in a CI/CD environment AWS is the preferred cloud platform - Azure and/or GCP will be considered. If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a More ❯

following roles and/or markets, and worked with the following products and/or services: Agile, Builders Merchants, Coding, Construction, Data Analysis, Database Analyst, Google Big Query, Google Cloud Platform, Google, IT Lifecycle, Java, Looker, Matillion, Retail, SQL, Scrum, Software Development, Software Engineer, Software Engineering, Universe Multi-Value.Us: From boilers to bathroom suites, tubing to towel rails and everything More ❯

with streaming data pipelines , real-time inference , and distributed ML infrastructure. Contributions to open-source ML projects or research in applied AI/LLMs. Certifications in Azure, AWS, or GCP related to ML or data engineering. Job Title Once hired this person will have the job title Senior Machine Learning Engineer Total Rewards: At Enable, we're committed to your More ❯

compute solutions at scale. infrastructure-as-code (e.g., CloudFormation, Terraform). Knowledge of programming languages such as Java or Python. Deep understanding of AWS or other cloud providers (e.g. GCP, Azure). Strong understanding of key security technologies and protocols such as TLS, OAuth and SPIFFE. Observability, alerting, metrics collection and visualisation (e.g. Prometheus, Grafana, Elasticsearch, Dynatrace). "Nice To More ❯

and the .NET ecosystem ** Good JavaScript experience with a modern framework (Vue, React or Angular) ** Experience building or contributing to cloud based products (ideally in Azure, but AWS or GCP is fine too) ** A good understanding of clean code, testing, and scalable systems Bonus points for; ** Working in a SaaS product environment ** Microservices ** DevOps exposure The teamwork in a flexible More ❯

and the .NET ecosystem ** Good JavaScript experience with a modern framework (Vue, React or Angular) ** Experience building or contributing to cloud based products (ideally in Azure, but AWS or GCP is fine too) ** A good understanding of clean code, testing, and scalable systems Bonus points for; ** Working in a SaaS product environment ** Microservices ** DevOps exposure The teamwork in a flexible More ❯

Site Name: London The Stanley Building Posted Date: Jul 2 2025 At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond More ❯

don't ask that you have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture Kubernetes (EKS) TeamCity for CI/CD (lots of team are releasing code 15-20 times per day!) Terraform and Grafana Our process More ❯

Facebook Login, Google Sign-In) are required Proficiency in one or more general purpose programming languages, Java is required Experience in Cloud native experience such as AWS, Azure, or GCP Flexibility to work across disparate technology stacks and applications. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most More ❯

of designing, building, and running high-quality, standards-compliant workflow APIs, with a focus on testing, observability, and performance. Have worked with a cloud provider (AWS/Azure/GCP). Have worked with distributed systems and are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically More ❯

of designing, building, and running high-quality, standards-compliant workflow APIs, with a focus on testing, observability, and performance. Have worked with a cloud provider (AWS/Azure/GCP). Have worked with distributed systems and are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically More ❯

of designing, building, and running high-quality, standards-compliant workflow APIs, with a focus on testing, observability, and performance. Have worked with a cloud provider (AWS/Azure/GCP). Have worked with distributed systems and are comfortable debugging through tracing and observability. Willing to be on-call for your services. Nice to have Have experience with Node.js , specifically More ❯

a few years of commercial experience as a Software Engineering leader working with different stakeholders like Product and Design? If you ALSO love working with cloud technologies (AWS/GCP), this opportunity is your chance to join a leading Asian FX trading firm and work on cutting-edge trading solutions! This highly respected financial institution is expanding its London office … implementing the best software development methodologies and approaches to your teams e.g. TDD, CI/CD, Agile, pair-programming. 💻 Tech Stack: Core Java, multithreading, low-latency systems, AWS/GCP, Docker, Kubernetes, TDD, Agile, CI/CD. Requirements:A degree in Computer Science or related field (Comp. Sci principles/theory are important in this role)Significant Hands-on experience … low-latency programming is desired (not essential though!)A strong desire to work in a low-level Java environment (no frameworks like Spring) in public cloud environments (AWS/GCP)!Advocacy for CI/CD environments and practices such as pair programming or TDD.Keen to expand your knowledge of the finance world and trading industry This is an exceptional opportunity More ❯

non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯

non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯

non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯

non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in data warehouses More ❯

CI/CD tooling (Github Actions, CircleCI etc) Skills we’d love to see/Amazing Extras: Solution development and delivery into at least one cloud platform (AWS, Azure, GCP) Knowledge of Database systems and models. Ability to use wide variety of open-source technologies. Experience with logging/monitoring tools (DataDog, StackDriver, Prometheus etc), Knowledge of test automation frameworks. More ❯

and modern NLP techniques (e.g., fine-tuning, embeddings, prompt engineering) Proven track record in designing, scaling, and maintaining ML systems in production (cloud-native solutions preferred – e.g., Azure, AWS, GCP) Excellent problem-solving skills and a passion for innovation and continuous learning Strong Python programming skills to write clean, modular code and experience with core data science libraries Solid software More ❯

and modern NLP techniques (e.g., fine-tuning, embeddings, prompt engineering) Proven track record in designing, scaling, and maintaining ML systems in production (cloud-native solutions preferred – e.g., Azure, AWS, GCP) Excellent problem-solving skills and a passion for innovation and continuous learning Strong Python programming skills to write clean, modular code and experience with core data science libraries Solid software More ❯

Ability and techniques to improve processes per project, client workstreams and in the technology department as a whole. Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify AI platforms such as AWS Bedrock, Microsoft Azure AI, Google Vertex AI AI frameworks such as AutoGen, Langflow Fine-tuned and train AI models Knowledge of Infrastructure as More ❯

Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent … Good written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills More ❯

Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent … Good written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills More ❯