Artificial intelligence google Work, Jobs in London, Eng (with Salaries)

Artificial Intelligence Engineer
Quantiphi —London
- Full-time
- Spanish
- English
- Master's degree
9d
Performance Analytics and Insight Analyst
Referrals Only —London
- £61,400 - £75,000 a year
- Remote
- Work from home
- Flexible schedule
2d
Google for Education, Solutions Engineer
Google —London
- Bachelor's degree
- Machine learning
- No degree
Staff Software Engineer, Android Growth Systems and App Foundations
Google —London
- Doctoral degree
- Computer Science
- Engineering
Principal Engineer (IT Automation & AI-native Transformation)
SoSafe —London
- Full-time
- Mentoring
- IT
- AI
- Employee discount
- Flexible schedule
AI Engineer
Zero100 —London
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Master's degree
- Life insurance
Quick apply
DevOps AI Platform Architecture - London, UK
Capgemini Sogeti —London
- Hybrid work
- Azure
- DevOps
- Machine learning
Google Cloud Solution Architect
Accenture —London
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
AI Engineer
Arondite —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Software Engineer, Data Infrastructure & Acquisition - London, United Kingdom
Speechify —London
- Remote
- Doctoral degree
- Computer Science
- Master's degree
Staff Software Engineer - AI
Moody's —London
- Computer Science
- Bachelor's degree
- Machine learning
9d
Software Engineer, Platform - London, United Kingdom
Speechify —London
- Remote
- APIs
- Communication skills
AI/ML Engineer
Aivra Health —London
- £27,827.24 - £35,825.62 a year
- Azure
- Computer Science
- Master's degree
Quick apply
2d
Staff Software Engineer, Generative AI Blackbelt Team
Google —London
- Doctoral degree
- Computer Science
- Engineering
AIML Software Engineer, AI for Science
GlaxoSmithKline —London
- £136,125 - £226,875 a year
- Full-time
- Engineering
- English
- Agile
- Annual leave
Google Cloud Platform Data Engineer
Axle —London
- Communication skills
Quick apply
Software Engineer - Core Technology
AI Security Institute —London
- £61,620 - £74,605 a year
- Hybrid work
- Presentation skills
- AI
- Communication skills
- Annual leave
Software Engineer, Engineering Platforms Team
National Westminster Bank PLC —London
- £75,520 - £113,280 a year
- Full-time
- Hybrid work
- Java
- JavaScript
- Software development
- Annual leave
1d
DevOps AI Platform Architecture - London, UK
Capgemini —London
- Hybrid work
- Azure
- DevOps
- Machine learning
Research Scientist, Robotics, DeepMind
DeepMind —London
- Doctoral degree
- Software development
- AI

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Artificial Intelligence Engineer

Quantiphi -
London

Apply Now

Job details

Full-time
9 days ago

Qualifications

Spanish
Law
Data structures
English
Google Cloud Platform
Software development operations experience
Master's degree
Cloud engineering experience
CI/CD pipelines
Continuous integration
AI
DevOps implementation
Infrastructure provisioning automation
Design patterns

Full job description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.

Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.

We’ve been recognized with:

17x Google Cloud Partner of the Year awards in the last 8 years.
3x AWS AI/ML award wins.
3x NVIDIA Partner of the Year titles.
2x Snowflake Partner of the Year awards.
We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.

Your next big opportunity starts here!

For more details, visit: Website or LinkedIn Page.

Role - AI Engineer

Location: Europe (Madrid, Spain preferred - travel to Spain customer site ideally once a month)

Language: Fluency in both English and Spanish required

Required Skills and Experience:

5+ years of experience designing, developing, and deploying high-performance data platforms and agentic solutions.
Proven experience in designing cloud enterprise solutions and supporting customer projects through completion.
Strong proficiency in the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (formerly Vertex AI).
Advanced Python coding skills, including data structures, algorithms, and software design.
Experience in automating infrastructure provisioning, DevOps/MLOps, and CI/CD.
Google Cloud Professional ML Engineer certification.

Technical Skills

GCP Stack (Mandatory):
- AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE)
- Gemini Enterprise, Agent Platform (formerly Vertex AI)
- BigQuery, Cloud Run, Vertex AI Pipelines
Programming: Advanced Python skills including data structures, algorithms, and software design patterns.
Agentic AI: Hands-on experience with AI Agents, Agent Development Kit (ADK), multi-agent frameworks, and RAG integration.
MLOps/DevOps: Experience with Kubeflow, Docker, Kubernetes, and Linux environments.
CI/CD: Proficiency in building and managing continuous integration and deployment pipelines.
GenAI/LLM: Experience with LLMs, GenAI APIs, Model Garden, and GenAI Studio.

Good to Have

Experience with AlloyDB and enterprise database solutions.
Familiarity with PaLM embeddings and vector search technologies.
Exposure to multi-cloud environments.
Prior experience in healthcare, retail, or financial services domains.
Additional GCP certifications (e.g., Professional Cloud Architect, Data Engineer).

Certification

Google Cloud Professional Machine Learning Engineer certification (Good To have)

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Apply Now

Refine Your Search

artificial intelligence google jobs in london, eng

Artificial Intelligence Engineer

Performance Analytics and Insight Analyst

Google for Education, Solutions Engineer

Staff Software Engineer, Android Growth Systems and App Foundations

Principal Engineer (IT Automation & AI-native Transformation)

AI Engineer

DevOps AI Platform Architecture - London, UK

Google Cloud Solution Architect

AI Engineer

Software Engineer, Data Infrastructure & Acquisition - London, United Kingdom

Staff Software Engineer - AI

Software Engineer, Platform - London, United Kingdom

AI/ML Engineer

Staff Software Engineer, Generative AI Blackbelt Team

AIML Software Engineer, AI for Science

Google Cloud Platform Data Engineer

Software Engineer - Core Technology

Software Engineer, Engineering Platforms Team

DevOps AI Platform Architecture - London, UK

Research Scientist, Robotics, DeepMind

I want to receive the latest job alerts for artificial intelligence google in london, eng

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