151 to 175 of 501 GCP Jobs in London

Knowledge of cloud infrastructure and large-scale cloud apps Experience with digital transformation and integration projects Ability to quickly understand client problems and present technical solutions Experience with AWS, GCP, Microservices, Java, and PostgreSQL About you Collaborative and self-motivated Focused on delivery and client success Effective communicator across roles and backgrounds Comfortable traveling nationally and internationally Interview process Our More ❯

science team and its role within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts More ❯

streaming and cloud-native solutions. Data . Solving enterprise data and analytics problems using technology. Cloud . Hands-on Public Cloud experience in either AWS/Azure/Google Cloud Platform, both their services and how to work in the cloud such as DevOps-centric approach. Security . Having worked in sensitive data environments and ideally have experience facing off More ❯

product development lifecycles. Excellent analytical, communication, stakeholder management, project, problem-solving and leadership skills. Strong understanding of enterprise systems, digital transformation, systems and process improvement. cloud platforms (AWS, Azure, GCP), APIs, and microservices. Familiarity with tools like Salesforce, Oracle, SAP, MS Power Platform, or similar. Certification in Agile, PMP, Six Sigma, or similar is a plus. Why Join Us? Work More ❯

stakeholders. Deploy and Scale AI Solutions Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to More ❯

a must Desirable Skills Good familiarity with recent developments in GenAI and LLMs Econometrics/Financial Engineering background Time series modelling Revenue and other company financials modelling Cloud (AWS, GCP, Azure) Experience with model visualization and explainability About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of More ❯

and business analysis. Expertise in cost and impact estimation for solution development. Familiarity with formal architecture frameworks (e.g., TMF, TOGAF). Experience with cloud platforms and technologies (AWS, Azure, GCP). Working knowledge of security design principles and best practices. Excellent communication, leadership, and problem-solving skills. Preferred Qualifications TOGAF or equivalent certification. Experience in Telecom/IT/Cloud More ❯

Docker, Kubernetes, CI servers,Git, Artifactory, and build tools. Strong experience building software pipelines using diverse DevOps tools. Hands-on experience with Linux and cloud platforms (AWS, Azure, or GCP) - mandatory. Familiarity with software architecture design, scalable product development, and on-premise/cloud hybrid environments. Experience delivering POVs and technical demonstrations to diverse stakeholders, fromtechnical teams to business leaders. More ❯

re Made For This Experience working directly with non-technical stakeholders and reporting to non-technical leadership Professional experience maintaining production services Experience with any popular cloud provider (AWS, GCP, Azure) Proficient in some modern programming languages like TypeScript, Python, Go, etc. Professional experience with infrastructure-as-code tools such as Terraform, Salt, and container orchestration technologies Excellent communication, interpersonal More ❯

and impact tracking. Requirements Technical Experience 10+ years of technical experience in Cloud DevOps, SaaS, or observability, with 5+ years in leadership roles. Strong hands-on experience with AWS, GCP, Azure, K8S, Terraform and observability tools: Prometheus, Grafana, OpenTelemetry, ELK, Splunk, Datadog, and similar. Proficiency with metrics, logs, traces and APM. Leadership & Global Operations Proven success leading multi-regional or More ❯

SDLC, Agile, DevOps, and CI/CD pipelines. Hands-on experience with tools such as Jira, Jenkins, Git, ServiceNow, or Azure DevOps. Knowledge of infrastructure, cloud platforms (AWS, Azure, GCP), and application deployment. Strong problem-solving skills and ability to manage multiple releases simultaneously. Excellent organizational, communication, and stakeholder management skills. More ❯

SDLC, Agile, DevOps, and CI/CD pipelines. Hands-on experience with tools such as Jira, Jenkins, Git, ServiceNow, or Azure DevOps. Knowledge of infrastructure, cloud platforms (AWS, Azure, GCP), and application deployment. Strong problem-solving skills and ability to manage multiple releases simultaneously. Excellent organizational, communication, and stakeholder management skills. More ❯

and scalability. About You : To thrive in this role, you will need : Strong knowledge of Python and APIs for effective data integration. Familiarity with cloud platforms, preferably Azure (AWS, GCP experience is also valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding More ❯

and scalability. About You : To thrive in this role, you will need : Strong knowledge of Python and APIs for effective data integration. Familiarity with cloud platforms, preferably Azure (AWS, GCP experience is also valuable). Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding More ❯

in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in modern cloud environments (AWS, GCP, Azure). Strong communication skills and ability to influence across technical and non-technical stakeholders. Deep knowledge of ethical AI governance and experience implementing controls for compliance. Background in consumer More ❯

in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in modern cloud environments (AWS, GCP, Azure). Strong communication skills and ability to influence across technical and non-technical stakeholders. Deep knowledge of ethical AI governance and experience implementing controls for compliance. Background in consumer More ❯

expertise in capacity planning, and full lifecycle project management Experience with packet decoding and analysis tools such as tcpdump and Wireshark Experience with public cloud networks, such as AWS, GCP, Azure Familiarity with configuration management tools, such as Ansible or Salt is desirable to support zero-touch network management Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable Understanding of More ❯

and metrics literacy Nice to have: PhD or Master's in Computer Science, AI, or related fieldExperience with sports data, tracking systems, or analytics platformsFamiliarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply? Work on high-impact, real-world projects where your algorithms will be deployed in live sports environmentsJoin a team passionate about research, innovation, and continuous More ❯

literacy Nice to have: PhD or Master's in Computer Science, AI, or related field Experience with sports data, tracking systems, or analytics platforms Familiarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply? Work on high-impact, real-world projects where your algorithms will be deployed in live sports environments Join a team passionate about research, innovation, and More ❯

stack. Proven experience in data science, with a focus on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock). Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content. Desirables: Experience fine-tuning More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

partnership with cloud providers. This role requires a commitment to continuous improvement and agility in adapting services to evolving cloud capabilities. Experience with hybrid and multi-cloud environments (AWS, GCP). Relevant certifications (not essential), e.g., Azure Solutions Architect Expert, Azure AI Engineer, CISSP. The Organisation: Capita Technical Operations Delivery is a global shared service, responsible for delivering innovation and More ❯