301 to 325 of 1,137 GCP Jobs in London

with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from More ❯

design and architecture, content development, workload automation and use-cases Experienced with technologies such as EDR, SIEM, SOAR, NGFW and their ecosystems Familiarity with cloud technologies, providers (such as GCP, AWS, Azure) Familiarity with attack surface management is a plus Experience in customer-facing roles (internal or external) is a must Self-learner able to drive business outcomes independently Excellent More ❯

direction at scale Deep expertise in system architecture, distributed systems, and software design patterns Advanced programming skills in at least one language Strong experience with cloud platforms (AWS or GCP) and CI/CD pipelines Skilled in building scalable, secure, and testable codebases in production environments Familiarity with both SQL and NoSQL data stores, and when to use each Fluent More ❯

Expertise in database technologies such as PostgreSQL , Snowflake , Elasticsearch , and S3 . 4+ years of experience in backend development. Deep understanding of at least one leading cloud provider ( AWS , GCP , or Azure ). Bonus Points Proficiency in Go programming. Background in building data collection systems. Experience in frontend development using modern frontend technologies. Our Tech Stack Go, React, AWS, Kubernetes More ❯

experience - ability to manage multiple projects and engagements Strong understanding of networking, firewalls, infrastructure, and security automation Experience with on-prem data centers, Kubernetes, and cloud security (AWS, Azure, GCP) Red Team & Purple Team knowledge is a massive advantage Vendor-agnostic mindset - we use a broad range of technologies Passion for homelabbing, hacking, and learning Budget: Open - looking for the 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 ❯

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 ❯

a focus on 3D applications Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment Please register your interest for this role by sending More ❯

Experience 3+ years in DevOps or SRE roles. Solid experience with Docker, GitHub Actions (or similar), and basic Kubernetes/EKS. Familiarity with cloud platforms (AWS/Azure/GCP) and networking fundamentals. Comfortable with Python, Bash, or PowerShell scripting. Team player focused on reliability and continuous improvement. Join a purpose-driven startup focused on improving patient outcomes. Collaborate with More ❯

Conduct comprehensive risk assessments of information systems, applications, business processes, and underlying technical infrastructure-including desktops, phones, network devices, operating systems (Windows, macOS, Linux), and cloud platforms (AWS, Azure, GCP). Collaborate closely with compliance, legal, IT, business stakeholders, and external clients to understand operational requirements, regulatory obligations, and risk tolerance. Serve as a technical point of contact for clients More ❯

technical and non-technical audiences. Expert working knowledge of a range of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing - Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you 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 ❯

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 ❯

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 ❯

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 ❯

model development , training, and deployment Familiarity with LLMs , NLP , or computer vision techniques Solid understanding of software engineering principles and version control (Git) Experience working in cloud environments (AWS, GCP, or Azure) Ability to work independently and communicate effectively in a remote team Bonus Points Experience with Hugging Face Transformers , LangChain , or RAG pipelines Knowledge of MLOps tools (e.g. MLflow More ❯

Nice-to-have Familiarity with Data Modelling and creation of data pipelines Familiarity of developing and implementing Risk Models end-to-end Experience with cloud platforms (e.g. AWS/GCP/Azure) This role will be based in our London office in a 50/50 Hybrid mode We match your pension contributions up to 7% Learning budget of More ❯

PDFs, images, call recordings, video) Proficiency in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc. Cloud & AI Ecosystems Experience working with cloud platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in cloud environments Familiarity or hands-on exposure to generative AI ecosystems (e.g., OpenAI, Bedrock, Hugging Face) LLMs & Emerging Tech Awareness 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 ❯

Preferred Qualifications Consulting experience or experience in a global marketing/analytics team. Familiarity with broader customer analytics techniques beyond MMM Experience working with cloud platforms (AWS, Azure, or GCP) and big data environments. MBA or other relevant advanced degree. What We Offer Access to cutting-edge tools and world-class training in AI, machine learning, and advanced analytics. A More ❯

experience in a range of technologies and architectural best practice concepts, specifically Data exchange and integration best practices and patterns on traditional onprem networks and cloud networks (Azure and GCP). Experience of delivering technical solutions in the insurance industry and a SME in topics such as Products, Claims and Settlement Able to understand and query enterprise size Oracle databases More ❯

budget Requirements At least 3 years of experience in a DevOps role, ideally at a B2B SaaS company Detailed experience with AWS, including RDS, Lambda, and CloudWatch. Experience with GCP, and specifically Google BigQuery. Experience with building and maintaining continuous integration environments. Absolutely superb communication skills. You need to be able to communicate effectively across Beacon's engineering team, and More ❯

company. Check them out below: For backend, we use Node and Go For the frontend, we use ReactJS and Typescript For persistence, we use PostgreSQL We use Azure and GCP for our cloud services We manage our infrastructure with Terraform, Kubernetes CRDs, ArgoCD and DataDog. "As an engineer, I follow a product through its lifecycle, from ideation to delivery and More ❯

that drive sustained business results. Proficiency in the Python data science tech stack (pandas, scikit-learn, NumPy, and visualisation libraries) Experience working in a Linux-based cloud environment (e.g. GCP, Azure, AWS). Experience using git version control. Communication, stakeholder management, and problem-solving skills are critical. Presentation skills for explaining complex analytics solutions to diverse audiences. Qualifications: Necessary Qualifications More ❯