101 to 125 of 500 GCP Jobs in London

Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow). Strong problem-solving skills and ability to work independently in a fast More ❯

technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with your More ❯

technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with your More ❯

technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with your More ❯

level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance. Independent, self More ❯

level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance. Independent, self More ❯

technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or analytics If you’re excited to grow your career in data science and make a real impact with your More ❯

understanding of best practices in terms of using SSR, CSR or hybrid approaches; Experience with CI/CD workflows and writing automated tests; Experience using cloud platforms like AWS, GCP or Azure; Markup and styling with HTML5 and CSS3; Unit testing using Jest or Enzyme; User Interface Performance and Responsiveness; Previous experience in balancing technical priorities with business needs and More ❯

and storage as scale goes up; knowledge of emerging AI hardware accelerators and architectures; experience with containerization and orchestration technologies (Docker, Kubernetes); experience with cloud computing platforms (AWS, Azure, GCP) and their offerings. About the team Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. More ❯

and integration. Experienced in SAP system integration architecture using SAP BTP or other middleware solutions. Familiarity with data warehousing, reporting and analytics strategy Experience in cloud platforms like AWS, GCP, or Azure is welcome Excellent communication and relationship-building skills, with fluency in English Additional info Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration More ❯

scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business growth. You will be based in our London office. International travel will More ❯

scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business growth. You will be based in our London office. International travel will More ❯

scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business growth. You will be based in our London office. International travel will More ❯

scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client outcomes and driving business growth. You will be based in our London office. International travel will More ❯

guide the DevOps and application development teams Core Competencies Skilled in designing distributed, event driven systems Platform and application development Has recently designed services that reside on AWS, Azure, GCP or hybrid environments Has the ability to work in and has strong knowledge of agile development and modern CD/CI approaches Understands how security design is integrated into the More ❯

principles and integrating ML solutions into production environments Demonstrated ability to translate ambiguous business problems into scalable, production-ready data science solutions Hands-on experience with cloud platforms (AWS, GCP, Azure) and tools such as Databricks, Snowflake, and BigQuery Exceptional communication and stakeholder management skills, with the ability to influence decision-making across technical and non-technical teams Desirable skills More ❯

Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical analysis, mathematical modelling etc. Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity More ❯

helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value. Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform - with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates. Our clients benefit from More ❯

with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure, GCP) with their AI/ML offerings Preferably hands-on experience with voice technologies and computer vision for relevant property management applications Knowledge of software development practices and enterprise architectures, with More ❯

building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). Excellent stakeholder management and communication skills. A strategic mindset, with a practical approach to delivery and prioritisation. Proven success with modern data infrastructure: distributed systems, batch and More ❯

marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads More ❯

marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads More ❯

Skills Experience in commodities indices, structured products, or index engineering . Knowledge of market data feeds (Bloomberg, Refinitiv, etc). Familiarity with containerisation (Docker) and cloud platforms (AWS/GCP). Database experience (SQL/NoSQL) and use of modern data formats (Parquet, HDF5). Contract: Initial term with possible extension Day Rate: Competitive, depending on experience McGregor Boyall is More ❯

Enterprise Architecture experience with good working knowledge of architecture frameworks (e.g. TOGAF, Zachman, etc.) and exposure to a range of modern technologies including some of the below: Cloud platforms (GCP, AWS, Azure) and hybrid hosting architectures APIs, microservices, and modular applications Data strategies (data lifecycle, ETL, data modelling, governance) Cybersecurity Technology sustainability Payments, digital transformation, retail banking Collaboration & Communication Strong More ❯

that as a minimum this will require at least 5 years residency within the UK Certifications in Enterprise Architecture frameworks (TOGAF, LeanIX, ArchiMate and more), Cloud (AWS, Azure or GCP), Agile, ITIL, COBIT or any leading platform solution would be advantageous Connect to your business -Technology and Transformation Distinctive thinking, deep expertise, innovation and collaborative working. That's what connects More ❯