526 to 550 of 1,455 GCP Jobs in England

roadmap. A strong understanding of LLM-powered applications, including agents, tools, and prompt engineering. Experience with agent frameworks like LangChain or LangGraph. Familiarity with cloud-native systems, especially Google Cloud Platform (Firestore, GCS). Exposure to survey research tools or statistical packages. You're not afraid of maths (bonus if you've studied stats or calculus). Behaviours: Analytical thinking More ❯

Strong knowledge of application rationalisation, automation, and AI integration. Expertise with Enterprise Application Architecture tooling (e.g. ArchiMate, Sparx, Ardoq, BizzDesign). Significant cloud experience - Azure is essential (AWS/GCP desirable). A solid understanding of SaaS, PaaS, IaaS, APIs, SOA, microservices, and event-driven services. Excellent analytical, planning, and communication skills, with the ability to influence both technical and More ❯

Knowledge of cloud infrastructure and large-scale cloud apps Experience with digital transformation and integration projects Ability to quickly understand client problems and present technical solutions Experience with AWS, GCP, Microservices, Java, and PostgreSQL About you Collaborative and self-motivated Focused on delivery and client success Effective communicator across roles and backgrounds Comfortable traveling nationally and internationally Interview process Our 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 ❯

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 ❯

secure software development lifecycle (SSDLC) and experience embedding security into agile, DevOps, and CI/CD environments. In-depth technical knowledge of application security architecture, cloud platforms (AWS, Azure, GCP), microservices, APIs, and identity/access management. Strong familiarity with modern programming languages, frameworks, and security vulnerabilities (e.g., OWASP Top Ten, SANS 25). Proven experience driving digital transformation initiatives More ❯

Software architecture and system design Application modernization (legacy-to-web/platform transformation) API design and integration (REST, GraphQL, etc.) Database design and performance optimization Cloud platforms (AWS, Azure, GCP) CI/CD pipelines and DevOps practices Security best practices (application and data security) Knowledge of software testing strategies and automation The ideal candidate will combine strong technical expertise with More ❯

machine learning Over 5 years of experience deploying computer vision models in production environments Advanced proficiency in Python programming Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes Solid understanding of computer vision techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly More ❯

machine learning Over 5 years of experience deploying computer vision models in production environments Advanced proficiency in Python programming Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes Solid understanding of computer vision techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly More ❯

machine learning Over 5 years of experience deploying computer vision models in production environments Advanced proficiency in Python programming Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes Solid understanding of computer vision techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly More ❯

machine learning Over 5 years of experience deploying computer vision models in production environments Advanced proficiency in Python programming Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes Solid understanding of computer vision techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly More ❯

machine learning Over 5 years of experience deploying computer vision models in production environments Advanced proficiency in Python programming Hands-on experience with cloud platforms such as AWS or GCP, and familiarity with deployment tools like Docker and Kubernetes Solid understanding of computer vision techniques, including image classification, object detection, and segmentation Experience with Large Vision Models (LVMs) is highly More ❯

iGaming Hands-on sportsbook experience (in-house systems or third-party) Strong knowledge of real-time data, odds feeds, and bet settlement workflows Experience with cloud-native setups (AWS, GCP, or Azure) Deep understanding of system integration, APIs, microservices, and distributed systems A collaborative approach with clear, confident communication skills Bonus points for: Experience with in-play betting systems or More ❯

iGaming Hands-on sportsbook experience (in-house systems or third-party) Strong knowledge of real-time data, odds feeds, and bet settlement workflows Experience with cloud-native setups (AWS, GCP, or Azure) Deep understanding of system integration, APIs, microservices, and distributed systems A collaborative approach with clear, confident communication skills Bonus points for: Experience with in-play betting systems or More ❯

iGaming Hands-on sportsbook experience (in-house systems or third-party) Strong knowledge of real-time data, odds feeds, and bet settlement workflows Experience with cloud-native setups (AWS, GCP, or Azure) Deep understanding of system integration, APIs, microservices, and distributed systems A collaborative approach with clear, confident communication skills Bonus points for: Experience with in-play betting systems or More ❯

functions. Cultural Influence : You have a passion for promoting a security-first culture through training, awareness, and secure-by-design practices. Adaptability : You thrive in a modern Cloud (AWS, GCP, Azure, Kubernetes, CI/CD) and AI environment, staying current with industry trends. Interview process Intro Call with People Team : A brief conversation to get to know you and your 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 ❯

Python, Full Stack) but be happy to use C# .Net going forward and pick up new things along the way You have experience with public cloud technologies - Azure, AWS, GCP You have a good knowledge of modern software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such More ❯

stakeholders. Deploy and Scale AI Solutions Execute deployment strategies and provide technical guidance on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to More ❯

diverse audiences. Comfortable working in ambiguity and driving clarity through experimentation and data. Preferred Qualifications Experience with speech technologies such as ASR and TTS. Familiarity with cloud environments (AWS, GCP, Azure). Exposure to RLHF, reward modelling, or human preference data collection. Prior work on real-time systems, streaming inference, or memory-efficient model deployment. Benefits and Culture Competitive compensation More ❯

a must Desirable Skills Good familiarity with recent developments in GenAI and LLMs Econometrics/Financial Engineering background Time series modelling Revenue and other company financials modelling Cloud (AWS, GCP, Azure) Experience with model visualization and explainability About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of More ❯

technology teams. Role Highlights Architect & Lead: Design and implement enterprise-level software solutions, including microservices, event-driven architectures, and serverless computing. Cloud & DevSecOps Expertise: Spearhead cloud migrations (AWS, Azure, GCP) and drive DevSecOps best practices. Stakeholder Engagement: Partner with CXOs, product leaders, security teams, and engineering to align technology strategies with business objectives. Technical Governance: Lead and optimise architecture review More ❯

techniques Solid understanding of Large Language Models, including how to apply multi-modal models and when to apply prompt engineering and fine-tuning. Deployment and Cloud-based services - AWS, GCP, Docker, Linux Experience deploying ML models to edge devices with necessary optimisations Additional requirements: Advanced degree in Computer Science, Statistics, Data Science or equivalent Experience building and commercialising ML models More ❯

AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical audiences. Passionate about ethical, impactful use of AI in business. Benefits: Hybrid working Training budget More ❯

AI strategy and roadmap development. Ideal Candidate: Strong hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Excellent communication and mentoring skills. Ability to translate complex technical concepts for non-technical audiences. Passionate about ethical, impactful use of AI in business. Benefits: Hybrid working Training budget More ❯