451 to 475 of 1,640 GCP Jobs in London

challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in a More ❯

challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in a 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 ❯

+ year hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding of networking, storage, and virtualization concepts. More ❯

to-end Full-stack engineer with Strong React/Next.js, experience with Tailwind and UI best practices would be highly beneficial Experience with cloud infrastructure (AWS/Azure/GCP), DevOps and data/ML workflows JavaScript Full-Stack Engineer - Climate-Tech Start-Up - Fully Remote More ❯

years of experience with Java or Python (C++ a plus) Familiarity with databases (e.g., SQL Server, Postgres) Familiarity with developing, testing, or deploying with cloud providers (e.g., AWS, GCP, Azure) Experience using version control software (e.g., Git) Curiosity and a desire to solve challenging problems Strong programming ability A collaborative mindset and eagerness to give and receive feedback Excellent written More ❯

date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working More ❯

date with the latest AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working More ❯

years of experience with Java or Python (C++ a plus) Familiarity with databases (e.g., SQL Server, Postgres) Familiarity with developing, testing, or deploying with cloud providers (e.g., AWS, GCP, Azure) Experience using version control software (e.g., Git) Curiosity and a desire to solve challenging problems Strong programming ability A collaborative mindset and eagerness to give and receive feedback Excellent written More ❯

years of experience with Java or Python (C++ a plus) Familiarity with databases (e.g., SQL Server, Postgres) Familiarity with developing, testing, or deploying with cloud providers (e.g., AWS, GCP, Azure) Experience using version control software (e.g., Git) Curiosity and a desire to solve challenging problems Strong programming ability A collaborative mindset and eagerness to give and receive feedback Excellent written More ❯

scalable, maintainable software. Effective communicator and team player. Knowledge of monitoring/alerting best practices for GenAI pipelines (e.g., Langsmith, Langfuse) and LLM-as-a-judge. Cloud experience (AWS, GCP) and familiarity with DevOps practices (CI/CD, Docker, Kubernetes, IaC). Experience with event-driven architecture and streaming (Kafka a strong plus). Exposure to chat agents and customer More ❯

scalable, maintainable software. Effective communicator and team player. Knowledge of monitoring/alerting best practices for GenAI pipelines (e.g., Langsmith, Langfuse) and LLM-as-a-judge. Cloud experience (AWS, GCP) and familiarity with DevOps practices (CI/CD, Docker, Kubernetes, IaC). Experience with event-driven architecture and streaming (Kafka a strong plus). Exposure to chat agents and customer More ❯

testing and deployment frameworks for model reliability Work collaboratively in agile sprints alongside data and DevOps teams Key Skills: Python, FastAPI, Git/GitHub, CI/CD, cloud infrastructure (GCP), automated testing (pytest) Nice to Have: Experience with ML model deployment or scientific data systems Ideal for: Engineers who thrive building robust, production-ready backends for AI/ML platforms. More ❯

DevOps practices. Strong hands-on experience with: Terraform, Ansible, or similar IaC tools CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps) AND Cloud platforms (AWS, Azure, or GCP) Solid understanding of networking concepts (TCP/IP, DNS, routing, VPNs, firewalls). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). Scripting skills including Python and React. More ❯

Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage More ❯

Agile Framework or similar. Good experience and skills within streaming technologies like Confluent Kafka, Streamsets, MongoDB, IBM CDC. Knowledge of public/enterprise cloud technologies (AWS EC2, S3 Bucket, GCP, Azure) is advantageous but not required. Some skills/experience with automated testing frameworks (Java, Python, PySpark, Bitbucket, Gitlab, Jenkins) is advantageous but not required. Strong Environment Management skill Carbon60 More ❯

Proficiency in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. More ❯

of machine learning models Ensuring data quality, integrity, and performance across distributed systems Contributing to data architecture and storage strategy design Working with cloud data platforms (AWS, Azure, or GCP) to deploy scalable solutions Monitoring, troubleshooting, and tuning Spark jobs for performance and cost efficiency Engaging regularly with customers and internal stakeholders This is an excellent opportunity to join a More ❯

workflows and performance issues. Requirements: Proven experience with Databricks and Snowflake.Strong proficiency in SQL and Python.Extract Load Transform procedures, Data Lineage & Analysis.Familiarity with cloud platforms (e.g., Azure, AWS, or GCP).Experience with CI/CD and version control tools (e.g., Git).Excellent problem-solving and communication skills. Nice to have: Financial data knowledge on funds, securities, positions, trades and background More ❯

world systems and reason about scale, latency, and trade-offs Comfortable building from zero greenfield work doesnt scare you; in fact, you prefer it Experienced with cloud infrastructure AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems you More ❯

world systems and reason about scale, latency, and trade-offs Comfortable building from zero greenfield work doesnt scare you; in fact, you prefer it Experienced with cloud infrastructure AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems you More ❯

systems and reason about scale, latency, and trade-offs Comfortable building from zero — greenfield work doesn’t scare you; in fact, you prefer it Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling — SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems — you More ❯

systems and reason about scale, latency, and trade-offs Comfortable building from zero — greenfield work doesn’t scare you; in fact, you prefer it Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling — SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems — you More ❯

scalability, reliability, and resilience. Has strong programming skills with Python – essential. Has hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts More ❯

broad understanding of machine learning and statistical methods, including NLP, deep learning, Bayesian inference, time-series forecasting, and recommendation systems. Hands-on experience with cloud platforms such as AWS, GCP, or Azure, and exposure to tools like Databricks or Dataiku. Practical knowledge of MLOps frameworks for deploying, monitoring, and retraining predictive models. Excellent communication and storytelling skills, with the ability More ❯