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Technical Solutions Specialist Measurement Foundations jobs at Google in United Kingdom, London

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United Kingdom
London
203 jobs found
09.11.2025
G

Google Field Solutions Architect GenAI Google Cloud United Kingdom, England, London

Limitless High-tech career opportunities - Expoint
Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 7 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python...
Description:
Minimum qualifications:
  • Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
  • 7 years of experience working in AI/ML as a technical sales engineer or in software engineering.
  • Experience in Python and Machine Learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience in Generative AI as a user or a developer.
  • Experience delivering technical presentations and leading business value sessions to support client relationship management in this region.

Preferred qualifications:
  • Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models.
  • Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion.
  • Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone.
  • Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches.
  • Understanding of nearest neighbor search concepts.
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13.10.2025
G

Google Technical Account Manager Google Cloud Consulting United Kingdom, England, London

Limitless High-tech career opportunities - Expoint
Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. Experience supporting customers in cloud operations (e.g., launch or capacity planning, product release management), technical support,...
Description:
Minimum qualifications:
  • Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
  • Experience supporting customers in cloud operations (e.g., launch or capacity planning, product release management), technical support, escalation management, or IT consulting.
  • Experience in a customer-facing role working with stakeholders, driving customer technical implementations or transformation programs.

Preferred qualifications:
  • MBA or Master’s degree in a Management, Technical, or Engineering field.
  • Experience translating business requirements into technological solutions.
  • Experience in application or workload migration to public cloud providers.
  • Experience collaborating with teams, groups, business units, channel partners, systems integrators, and third-party developers to deliver solutions.
  • Understanding of IT operations, database systems, networking, IT security, application development, service architecture, cloud-native application development, hosted services, storage systems, or content delivery networks.
  • Excellent written and verbal communication, presentation, problem-solving, and client management skills.
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These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Bachelor's degree in Computer Science, Data Science, or equivalent practical experience. 7 years of experience working in AI/ML as a technical sales engineer or in software engineering. Experience in Python...
Description:
Minimum qualifications:
  • Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
  • 7 years of experience working in AI/ML as a technical sales engineer or in software engineering.
  • Experience in Python and Machine Learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience in Generative AI as a user or a developer.
  • Experience delivering technical presentations and leading business value sessions to support client relationship management in this region.

Preferred qualifications:
  • Experience with full-stack ML engineering to seamlessly combine retrieval-based knowledge and generative text generation to implement and optimize RAG models using first-party and OSS models.
  • Experience with implementing search concepts, such as indexing, scoring, relevancy, faceting, and query rewriting and expansion.
  • Experience with semantic search frameworks and tools/databases such as LangChain, Faiss, and Pinecone.
  • Experience in systems design, with the ability to architect and explain data pipelines, Machine Learning (ML) pipelines, and ML training and serving approaches.
  • Understanding of nearest neighbor search concepts.
Show more
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