1 to 25 of 76 GCP Jobs in the City of London

of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences. Coaching More ❯

Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

implementation of cloud-based solutions across AWS, Azure, and OCI platforms. What you get to do: Cloud Design and Development: Lead the design and development of Google Cloud Platform (GCP) architectures Create scalable, resilient cloud solutions using Infrastructure as Code (IaC) tools like Terraform Design and migrate applications across GCP and AWS … optionally Azure, and OCI platforms Collaborate with stakeholders to define cloud strategies and optimise existing infrastructure GCP and Multi-Cloud Expertise: Architect and implement cloud-native solutions in Google Cloud (GCP) , leveraging services like EKS , GKE (Google Kubernetes) Design and optimise GCP Implement Identity and Access Management (IAM) and Security Policies Work with Google Anthos, Kubernetes, and container-based architectures … rotation when required Requirements: Experience 7+ years of experience in designing, implementing, and managing cloud-based solutions across multiple cloud platforms Primary Expertise: Deep hands-on experience in Google Cloud (GCP) Basic knowledge/willing to learn AWS Proven experience in designing and implementing cloud architectures and solutions Experience with Apache Kafka , including setup, configuration, monitoring, and troubleshooting Proficiency in More ❯

degree in Data Science, Business Analytics, or related field. Experience working on strategic, cross-functional data initiatives with C-level stakeholders. Familiarity with cloud data platforms (e.g., Azure, AWS, GCP, Snowflake). Knowledge of data governance standards, regulatory compliance, and metadata management. Experience with BI and visualization tools such as Power BI, Tableau, or Looker. Certification in data science, analytics More ❯

like scikit-learn, XGBoost, and pandas Practical experience in MLOps or strong knowledge of model deployment (e.g. MLflow, Airflow, Docker, Kubernetes, model monitoring tools) Familiarity with cloud environments (AWS, GCP, or Azure) and data pipelines Excellent communication skills—able to explain technical work to non-technical stakeholders and come to meetings with ideas To apply, please submit your CV to More ❯

hybrid cloud solutions . ✅ Hands-on expertise with CI/CD, Infrastructure as Code, cloud-native security, and FinOps . ✅ Deep knowledge of at least one hyperscaler (Azure, AWS, GCP) and modern tech stacks. ✅ Strong leadership, problem-solving, and client-facing communication skills. 🎯 Why This Role? Work on high-profile cloud transformation initiatives with major enterprises. Access cutting-edge tech More ❯

in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in More ❯

Proven success delivering architecture across large-scale or complex transformation initiatives Expertise across relevant domains, particularly application, integration, and platform architecture Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern approaches (APIs, microservices, DevOps) Skilled in navigating delivery environments (Agile, hybrid, regulated change) Familiarity with architectural modelling tools and frameworks (TOGAF, ArchiMate, UML, etc.) Confident engaging with both More ❯

care systems - e.g., IVR integrations, Agent desktop Payments and collection Identity and Authentication Service Mesh (Istio, etc.); Knowledge Background of ESB or SOA; Gradle/Maven/Build tools; GCP/GKE; GraphQL; Splunk/StackDriver/Logging Monitoring Traceability Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource More ❯

marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads More ❯

of networking protocols, operating systems and cyber security concepts and technologies. Experience in forensic tools and malware analysis is a plus. Experience with Cloud environments such as AWS/GCP/Azure is a plus. Ability to work across different regions in a process/procedure driven organisation. Excellent verbal and written communication and presentation skills. Senior Security Operations Analyst More ❯

Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco-system - AWS, Azure or GCP in the data engineering space with at least few complex & high-volume data projects as an architect is mandatory Contributing to developing and maintaining cloud governance frameworks, policies, and procedures More ❯

re Looking For 3+ years of experience building scalable systems with Python or C# Strong front-end experience (React, Vue, Angular - your choice) Cloud architecture know-how (AWS, Azure, GCP - any flavour works) Solid understanding of relational databases Background in Computer Science, Engineering, Maths, or similar Experience in a start-up, greenfield, or high-autonomy team environment Passionate problem-solver More ❯

version control Detail-oriented and proactive problem solver Enthusiastic about using data to inform business decisions Collaborative team player eager to learn and contribute Desirable Exposure to cloud platforms : GCP , Azure , or AWS Familiarity with Data Lakes , Data Warehouses , or LakeHouse architecture Interest in AI/ML and applied data science use cases Please feel free to contact myself - Daisy More ❯

Skilled in SQL/NoSQL (PostgreSQL, Cassandra) and messaging tech (Kafka, RabbitMQ) Experience with orchestration tools (Chef, Puppet, Ansible) and ETL workflows (Airflow, Luigi) Familiarity with cloud platforms (AWS, GCP) and monitoring tools (ELK stack) Proven problem-solving mindset and ability to adapt solutions to complex challenges Hands-on use of Gen AI tools for coding, debugging, or system design More ❯

essential Experience of deep analysis gaining actionable insight from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for longer than More ❯

record in predictive modelling with messy, real-world datasets (survey, geospatial, or similar) Hands-on experience with MLOps tools and practices (e.g., MLFlow) and deploying models in cloud environments (GCP, AWS, or Azure) Proactive, creative problem solver with a startup mindset and strong communication skills Comfortable taking technical ownership and leading ML projects from end to end If you are More ❯

demonstrable, independent expertise in the following areas: Enterprise architecture design and implementation within regulated financial services environments. Deep understanding of modern IT infrastructure and platforms including cloud (AWS, Azure, GCP), microservices, containerization, and APIs. Knowledge of enterprise frameworks such as TOGAF, ArchiMate, and associated methodologies. Familiarity with regulatory standards and security considerations within the financial services domain. Extensive experience in More ❯

3+ years experience developing across the stack in C# or Python Proficiency with a modern JS front end framework (React, Vuejs, Angular) Experience with cloud architecture (Azure, AWS or GCP) In depth knowledge of relational database Degree in Maths, Engineering, Computer Science or related Proven experience building scalable systems/applications in start ups OR greenfield projects in a larger More ❯

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office. This is a modern, digitally native business with no legacy systems - a rare opportunity to work in a clean, forward-thinking tech environment. … joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the … with minimal legacy constraints Requirements : Proven experience as a Data Engineer. Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud). Strong knowledge of GCP, including BigQuery. Experience in Financial Services is desirable but not essential Exposure to AI technologies is a plus Excellent communication and stakeholder management skills Comfortable working in a dynamic, unstructured More ❯

HAM/SAM, SPM, HR, CSM, etc.) Ability to demonstrate advanced scripting and integration skills – JavaScript, SQL, API Web Services Experience integrating ServiceNow with Cloud Infrastructure (e.g AWS, Azure, GCP) Security Clearance is desirable, or the ability to obtain SC clearance is required. What’s in it for you At Accenture in addition to a competitive basic salary, you will More ❯

. Strong academic background — Russell Group university. Proven background in product management for BI/data products. Strong SQL and Python skills. Hands-on experience with any cloud platform (GCP preferred, AWS or Azure fine). Confident with data visualisation tools — Power BI (or Tableau/Looker). Experience working with financial data — banking, insurance, asset management, fintech. Clear communicator More ❯

distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP). Passion for solving complex problems and mentoring others. Package: Salary from £(phone number removed) depending on experience Remote-first with flexible working options Unlimited annual leave Private medical insurance 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 ❯