1 to 25 of 76 Permanent 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 ❯

computing (e.g., pandas, NumPy, matplotlib, Py-Torch, Tensor-flow, SK-Learn) Basic understanding of machine learning principles or experience with small academic projects Familiarity with cloud platforms (AWS/GCP/Azure), APIs, or containerization (Docker) Awareness of analytics tools (e.g., Power BI, Tableau), dashboards, or reporting pipelines Experience with automation scripts, data wrangling, or internal tooling Basic understanding of 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 ❯

Staff Engineer (or equivalent) role within a fast-moving, product-led organisation and product engineering mind set. Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design. Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with DevOps practices, CI/CD pipelines, performance tuning, and 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 ❯

preferably within Web3 or fintech - Proficiency in Node.js (TypeScript or JavaScript) and backend frameworks. - Strong experience with databases (SQL and NoSQL) and caching solutions. - Knowledge of cloud infrastructure (AWS, GCP, or similar) and containerisation (Docker, Kubernetes). Benefits: - Competitive salary package. - Receive stock options - Fully remote role with flexible hours. - Budget for learning, professional development, and tools/subscriptions. If More ❯

with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems capable of autonomous decision-making and 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 ❯

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 ❯

services environments. Working with the Systems Integrator who provide the middleware, so capable of engaging with vendors 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 ❯

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 ❯

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 ❯

. 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 ❯