601 to 625 of 2,740 GCP Jobs in England

Proficient in programming, debugging, and problem-solving using SQL and Python. Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development ...

DevOps experience with at least one modern cloud hosting platform that’s appropriate for our products. (We typically use Heroku, but experience with AWS, GCP or others is very welcome.) Experience using Python libraries for data analysis, such as pandas, scikit, numpy, nltk, matplotlib, jupyter. Ability to communicate effectively ...

demand. Build AI product UX patterns (streaming, review loops, provenance/citations, long-running tasks, error-recovery) Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality ...

have experience in all of this, but if you do, that's great! Java, which makes up the majority of our backend codebase AWS & GCP - we're cloud-native Microservice based architecture TeamCity for CI/CD (lots of team are releasing code 15-20 times per day!) Terraform ...

Python, R, or C-Sharp. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, GCP, Azure), experience with Azure a plus. Experience leveraging AI code-writing assistants (e.g., GitHub Copilot, Claude Code, Codex) with appropriate engineering controls (code review, testing, security ...

environments, delivering software solutions in controlled increments (e.g., following Scrum, Agile Delivery phases, etc.). Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands‐on knowledge of designing and implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge ...

Python, R, or C-Sharp. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with cloud platforms (AWS, GCP, Azure), experience with Azure a plus. Experience leveraging AI code-writing assistants (e.g., GitHub Copilot, Claude Code, Codex) with appropriate engineering controls (code review, testing, security ...

part in managing, innovating and optimising our core AI systems and large scale product catalogue (Data feed). Working heavily within DataBricks and Google Cloud Platform, you will focus on enriching our product catalogue feeds, building scalable machine learning solutions and driving continuous improvement in our automated capabilities. Rather than ...

cloud platforms, application and integration architecture, APIs, data, and AI. Familiarity with modern cloud-native platforms and patterns underpinning insurance modernisation (e.g. Azure, AWS, GCP; core insurance/data platforms; API-led integration). Strong grasp of data, analytics, and AI/ML, including AI-enabled and agentic operating models ...

## To support our strategic roadmap, we would value hands-on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks, LLM integration, data science processes.* ## ...

management, supplier governance, and influencing skills. Excellent communication, governance, and leadership capabilities. Experience Experience working across diverse technology landscapes including OutSystems, D365, Power Platform, GCP Data & AI, Azure API Platforms. Technical awareness of TypeScript, JavaScript, C#, Python, Pytest, SQL, Playwright, API testing, CI/CD, DevOps, and AI-assisted testing ...

founding/early member of an Engineering team Experience working within a fast-growing Scale-up environment – delivering value quickly and iteratively Experience with GCP Location This is a fully remote position. You can be based anywhere in the UK, Europe, or the Americas within a UTC-7 to UTC+3 ...

reading, writing, debugging and critically reviewing queries, including AI-generated ones Modern data platforms - Familiarity with tools such as Snowflake, dbt, Looker, AWS or GCP, version control with Git and ideally some Python for data or analytics engineering tasks A meticulous eye for detail - Strong problem-solving instincts ...

Solid grounding in software engineering fundamentals including version control, testing, documentation, and maintainability. Desirable Experience Experience with Microsoft Azure or other cloud platforms (AWS, GCP). Experience with graph databases and graph‐based data modeling. Experience contributing to AI/ML‐enabled tools in a scientific or data‐driven environment. ...

warehousing technologies (e.g., Snowflake, Redshift) and proficiency in SQL. Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP). Familiarity with data governance and security best practices. Excellent problem-solving skills and the ability to work independently or collaboratively in a team. ...

Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/ ...

seriously by senior engineers — without needing to write all the code yourself Experience with software engineering fundamentals: API design, system integration, cloud infrastructure (Azure, GCP, or AWS), CI/CD practices, and production monitoring Python proficiency — you can read, write, and review code at a level that gives you real ...

GenAI stack: LLM APIs, retrieval and vector stores, agents with tool use, and structured outputs, running on cloud infrastructure (we use AWS and GCP). You have a real point of view on evaluation, most likely because you've been caught out by a system that looked fine and wasn ...

frameworks (such as PyTorch, XGBoost, or LightGBM). Engineering Rigor: Proven ability to build for production. Experience working in cloud-based environments (AWS or GCP) and familiarity with CI/CD workflows, version control (Git), and ML Ops principles. Analytical Problem Solving: Strong ability to connect technical metrics to business ...

Engineering Rigor: Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP) Education: BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise Preferred Qualifications ...

Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud data stacks (eg Snowflake, Databricks, BigQuery, AWS/Azure/GCP data services) and enterprise BI software (e.g., Power BI, Tableau, Looker), and the relevant application of modern AI frameworks, LLM integration, data science processes. Ideally ...

ones); experience with dbt and/or Looker is a plus You’ll have some familiarity with modern data platforms (e.g. Snowflake, dbt, AWS, GCP, Looker) You’ll have experience with version control tools such as Git You’ll ideally have some exposure to Python for data or analytics engineering ...

with VertexAI TOOLS & TECHNOLOGIES Languages: Python, SQL Data & Transformation: dbt, Snowflake, BigQuery Visualisation & BI: Looker Engineering & MLOps: Docker, GitHub Workflow & Orchestration: Vertex AI Pipelines (GCP), Kubeflow LLMs & GenAI: Gemini API, Claude API INTERVIEW PROCESS Step 1: People Team Screening Call (30 min) Step 2: Hiring Manager Call: Experience ...

candidates are likely to have experience with some combination of: Data architecture, modelling, integration, governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution ...

Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments Strong understanding of AI security, governance, ethical AI, model evaluation and risk ...