201 to 225 of 264 GCP Jobs in the City of London

GCP Cloud Architect £60,000 to £70,000 GBP bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Google Cloud Architect - London/Hybrid Up to £70,000 | SC Eligible | No Sponsorship We are seeking an experienced Google Cloud Architect to lead the design, deployment, and operation ...

We're seeking a Cloud & Platform Engineering Advisory Lead who is passionate about solving realworld challenges through technology. You'll collaborate with senior stakeholders-both internally and across major client organisations to shape cloud strategy ...

Media Solutions function. Skills and Experience: Hands-on, collaborative, and comfortable delivering greenfield products in fast-paced environments. Experienced with Google Cloud Platform (GCP) and serverless architectures. Proficient in JavaScript, TypeScript, Python , and familiar with front-end frameworks like React. Skilled in SQL , data warehousing ( BigQuery ), and data visualisation. Knowledgeable ...

resilience and performance AI & Cloud Experience Hands-on experience implementing AI solutions using Gemini and/or OpenAI APIs Strong Google Cloud Platform (GCP) experience across compute, data, and AI services Experience building and maintaining Custom GPTs, AI agents, or equivalent LLM-based services Proven ability to integrate AI into ...

Cloud & Platform Engineering Advisory Lead Location: Bases UK-Wide Organisation : Leading IT Consulting Business & Leading Global Cloud Partner! Working Model: Hybrid (office, client site, and home) Salary: £120,000 – £140,000 base salary + benefits ...

office Compensation: Up to £110,000 basic salary + bonus + benefits Required Skills/Experience: 5+ years building/operating systems across AWS & GCP 5+ years DevOps experience (CI/CD, monitoring, automation) 4+ years Linux administration (RedHat/CentOS) Strong automation skills: Python, Bash, Ansible, Terraform Strong … networking & security knowledge Proven container tooling experience: Docker, Kubernetes, ECS/ECR Experience with multiple cloud providers AWS and GCP - Azure a bonus Demonstrate strong verbal and written communication skills. For more information, contact Maria Ciprini at Harrington Starr, or click "Apply" to start your application. ...

data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high … Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific ...

We are seeking a highly skilled and motivated Senior Infrastructure Engineer to join a dynamic team in London. As a senior member of the team, you will play a key role in designing, implementing, and ...

Job description S.H.I.F.T Talent has partnered with an IT Consultancy looking for Data Engineers. As a Lead Data Engineer you'll play a pivotal role in helping public sector organisations become truly data-lead, by ...

workshops, and bid processes. Solution Design: Translate client needs into fit-for-purpose Data & AI solutions, leveraging modern cloud platforms (Azure/AWS, with GCP/Oracle as a plus). Design AI interventions for application support, monitoring, and business operations. Technical Leadership: Lead complex implementations that deliver measurable outcomes. … frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph). Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Proficiency in Python with ...

Responsibilities: Design and implement data science models (predictive, prescriptive, and descriptive analytics) to solve complex business problems. Work across multi-cloud platforms (AWS, Azure, GCP) to build and deploy scalable machine learning solutions. Collaborate with stakeholders to translate business requirements into technical solutions . Lead data strategy and advisory engagements … projects. Strong proficiency in Python , R , and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting ...

cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data specialists to deliver robust, production-ready solutions Applying AI and ML techniques to solve practical challenges in automation … machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical, scalable AI solutions Excellent teamwork and communication skills Full right ...

Senior Software Engineer Location: London - Hybrid (Occasional Travel required) Salary: £75,000 - £95,000 An established, global technology business within the hospitality-tech industry is seeking a talented Backend Software Engineer to help build and ...

related columnar formats; introduce Iceberg-style table modelling where beneficial Implement cloud-backed processing and storage patterns - leveraging services from AWS, Azure, or GCP for scale, resilience, and cost efficiency Improve system performance across latency, throughput, and reliability, ensuring pipelines support fast-moving trading environments Work with time-series technologies … ingestion systems Strong knowledge of data-lake architecture, columnar storage (Parquet essential), and modern table formats (Iceberg highly advantageous) Familiarity with cloud ecosystems (AWS, GCP, or Azure), including compute, storage, and workflow orchestration patterns Comfortable with Kubernetes, containers, and automated deployment workflows Strong communication skills and the ability to operate ...

Maintain architecture principles, guidelines and standards Project & Program Management Data Warehousing Big Data Data Analytics & Data Science for solutioning Relevant technology domains: Strong Google Cloud Platform Data Components – BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, Data Fusion, Etc Professional Summary: Strong Experience in Big Data- Data Modelling, Design, Architecting & Solutioning Understands … Good Python skills, - Experience from data visualisation tools such as Google Data Studio or Power BI Knowledge in A/B Testing, Statistics, Google Cloud Platform, Google Big Query, Agile Development, DevOps, Date Engineering, ETL Data Processing Strong Migration experience of production Hadoop Cluster to Google Cloud. Relevant Certifications Certifications ...

Great Expectations/dbt tests). Desirable skills: BFSI domain exposure (risk, finance, customer analytics, regulatory reporting). Cloud familiarity (AWS/Azure/GCP) and IaC (Terraform/Bicep). Certifications in TOGAF or cloud (AWS/Azure/GCP SA) Rewards & Benefits: TCS is consistently voted ...

Nordics, and Netherlands. We are excited to hear from Solution Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Oracle, IBM, Salesforce and more. Job description Create and assure key architecture artifacts (e.g., Key Design Decision, Technical Options Paper, High Level Design) Collaborate closely … collaborating with multiple stakeholders in a fast-paced environment Certifications in appropriate methodologies and cloud technologies are advantageous. Tech Stack: Cloud platforms: AWS, Azure, GCP Architecture frameworks: TOGAF, Zachmann, MODAF Agile methodologies: SAFe, Scrum, Kanban Modeling tools: UML, ArchiMate, Ardoq Additional information With a dedication to supporting the physical, emotional ...

About Our Team We are at the forefront of AI innovation, driving the core technical engine that powers our next generation of enterprise products. Our mission is to translate complex, cutting-edge academic research into ...

data pipelines/automation) and R (for statistical analysis/marketing science). Orchestration & Integration: Experience managing Weld and orchestrating workflows with Airflow . GCP Ecosystem: Hands-on experience with BigQuery and Vertex AI . Data Quality Focus: A strong track record of implementing automated testing (dbt tests) and observability. … Audit, Stabilise & Quick Wins The Handover: You have fully absorbed the context from our fractional analyst and taken ownership of all admin/permissions (GCP, Weld, GitHub). The Audit: You have mapped our data lineage and identified exactly where business logic is hiding (e.g., buried in Looker Studio calculated ...

drive best-practice engineering. What you’ll be doing: • Designing and engineering large-scale systems • Contributing to cloud-native architectures across AWS and GCP • Improving developer experience, CI/CD pipelines, and automation • Leveraging Generative AI tools to boost productivity and decision-making What they're looking for: • 5+ years … scaling distributed systems • Strong skills in Python and/or TypeScript • Experience with React, PostgreSQL/MySQL • Strong understanding of cloud (AWS/GCP) • DevOps mindset with experience operating production systems What’s on offer: • £500–600 per day • Outside IR35 • 6-month contract • Hybrid working: Soho Please apply ...

engineering, orchestration, and evaluation Integrate AI solutions into existing trading, analytics, and operational platforms Build scalable pipelines and services across multi-cloud environments (AWS, GCP, Azure) Collaborate closely with engineering, data, and business teams to deliver real commercial impact Develop and integrate intelligent AI agents/agentic workflows that … Engineer, Machine Learning Engineer, or LLM-focused Engineer Hands-on experience building and deploying LLM-powered applications Strong multi-cloud experience across AWS, GCP, and/or Azure Background in financial services, ideally within trading, capital markets, commodity trading, or large enterprise banking Strong software engineering skills with a focus ...

We have one open position of Azure DevOps/SRE Engineer(SC Cleared) with one of our client based in London, UK. This is a contract position. Below is the job description for your reference. ...

Principal Software Engineer Location: Remote first (Occasional travel to London) Salary: £95,000 - £120,000 + equity + benefits An established, global technology business within the hospitality-tech industry is seeking an accomplished Principal Software ...

Data Engineer (Python, GCP) | 🚀 Series C Scale-up | $100m raise in 2025 | Permanent | London (1 day a week on-site) - £80,000 - £85,000 + Equity My client are a fast-scaling SaaS scale-up (Series C, $100m raised in 2025) that is redefining how global powerhouses operate. Their … deliver production-grade solutions. Tech stack and requirements: Python – must-have, with production-grade engineering expertise FastAPI – Nice to have Google Cloud Platform (GCP) – must-have, ie BigQuery, Cloud Run, and Cloud Storage dbt – strong advantage, with scope to shape best practice Airflow/Composer – highly desirable for orchestration ...

Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google's AI ecosystem . You'll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over … products. What You'll Be Doing Design, develop, and deploy advanced machine learning and deep learning models into production. Architect scalable LLMOps pipelines on GCP/Vertex AI , including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications , leveraging RAG (Retrieval-Augmented Generation) , agentic workflows ...