5 of 5 Remote/Hybrid Google Jobs in Stoke-on-Trent

Python , TensorFlow , PyTorch , or other ML frameworks. Experience with deep learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices . Experience in deploying and maintaining ML models in production ...

developer, IoT and AI. Ubuntu is the fastest growing Linux distribution and ranks as the number #1 OS in the cloud. In partnership with Google, Amazon, IBM and Microsoft, Canonical helps companies become more agile, productive and adopt new technologies faster. Examples of customer success include AI, Blockchain, IoT, Advanced ...

technology stack We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline … deployment Google Vertex AI platform for cloud computing AWS for backend infrastructure Python for ML model microservices Go lang for most other microservices AI toolings for productivity (an evolving list) Google suites including access to Gemini ChatGPT enterprise Claude code You should apply if: You are result oriented and motivated ...

world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some ...

Marketing Mix Modeling, Incrementality Testing (geo-experiments, RCTs), and Multi-Touch Attribution. Hands-on experience building, validating, or calibrating MMM models- whether using Robyn, Google Meridian, PyMC-Marketing, LightweightMMM, Bayesian regression, or working closely with vendors who do. Strong foundation in causal inference and experimental design: you understand difference … PyMC, Stan) and their applications in marketing measurement. Familiarity with mobile analytics platforms and MMPs: Adjust, AppsFlyer, CleverTap, or similar. Experience with ad platforms (Google Ads, Meta Ads, TikTok Ads, Apple Search Ads) and their attribution APIs, conversion modelling, and server-side event integration (cAPI, Enhanced Conversions, SKAN). Knowledge ...