15 of 15 Remote Vertex AI Jobs

design and present compelling solutions, and guide customers through the implementation and adoption of our products and services, with a focus on Generative AI solutions on Google Cloud. This role requires a blend of technical depth, business acumen, and strong communication skills, with a specialization in applying Generative … AI technologies to solve complex business problems. A Customer Engineer needs a blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions. Core Focus: Google Cloud Platform (GCP) Expertise … 's role in enabling generative AI solutions. GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API). Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager. Cloud Solution More ❯

The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business. With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make … create reusable data assets. To create a self-service BI platform, enabling colleagues across Rentokil Initial to get value from data. To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond. Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support Rentokil's AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. More ❯

The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business. With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make … create reusable data assets To create a self-service BI platform, enabling colleagues across Rentokil Initial to get value from data To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond Key tasks: AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support Rentokil's AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. More ❯

at the right time to solve real customer problems. How you will contribute Your objectives when joining will be to: Build out our AI Product Vision using the right technologies to solve today's problems as well as the challenges Birdie will face in the future: Birdie's … data footprint doubles every quarter, making it essential to leverage scalable AI solutions to ensure data insights remain actionable for our customers and internal teams. Have a deep interest in understanding our users workflows and pain points looking for novel ways through AI to solve them. … Develop AI-driven tools, models, and documentation willing to share knowledge and up skill our broader engineering teams. Build and maintain AI infrastructure leveraging the latest technology approaches: Investigate cutting-edge approaches like generative AI or reinforcement learning to drive adoption and impact. Ensure More ❯

of 8 years of work exp needed Role Overview We are seeking a skilled Machine Learning Engineer to design, develop, and deploy advanced AI/ML models, with a focus on Generative AI, RAG architectures, and large-scale machine learning applications. You will work on end … tools like OpenAI, Anthropic Claude, and vector databases to deliver high-quality solutions for real-world business challenges. Key Responsibilities Machine Learning, Generative AI & RAG Development: Build and fine-tune large language models (LLMs) using frameworks such as OpenAI GPT or Anthropic Claude. Design and implement RAG pipelines … ML models that integrate with existing systems. End-to-End ML Pipeline: Architect, train, and deploy machine learning pipelines for NLP and multimodal AI solutions. Conduct data preprocessing, feature engineering, and exploratory data analysis for training datasets. Optimize embeddings for semantic search and document retrieval tasks. Model Deployment More ❯

everyday life, transforming routine into moments of happiness and satisfaction. Feel good with every interaction. The Opportunity We're looking for an experienced AI/ML Tech Lead to join our growing team. In this role, you will spearhead the design and development of our internal systems, meeting … the requirements of our innovative and ambitious AI roadmap. In this role, you will have a leadership role in defining technical and delivery strategy of Airtime’s AI strategy, including product selection, and system architecture, design and implementation, working closely with Data Science, Software Engineering and … Data Engineering Teams. Key Responsibilities Lead technical selection, design and implementation of Airtime’s AI/ML strategy Design, build, and optimise NLP models for applications such as natural language search and analytics, chatbots, and sentiment analysis. Develop and integrate personalisation algorithms for tailored product and service recommendations More ❯

scale Solid understanding of SQL Proficiency in unit testing, CI/CD, model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and … mentoring team members Experience with workflow orchestration technologies such as Airflow, Dagster or Prefect Experience with technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Perks of joining us: Company pension contributions at 5% Individualised training budget for you to learn on the More ❯

innovative, leading multi-national concern for a Software Engineer focused on building and driving the strategy forward for an internal Data Science/AI/ML platform. This software engineering role will work in a small, cross-functional team. The position will collaborate directly and continuously with other … partners, product managers and designers, and will release early and often. The team you will be working on is focused on building an AI/ML enablement platform to democratize Machine Learning across the enterprise (similar to Uber's Michelangelo, Facebook's FBLearner, etc). Candidate must be … on C2C basis. Apply today! Position Responsibilities Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP using Python and other tools for the data scientists and business across the company. Develop services using Python. Deploy and manage More ❯

Experience working in highly regulated environments such as redress or remediation programs. A conscientious, can-do attitude. Experience with tooling such as Python, Vertex AI, and BI Tools like QlikSense, Looker, and PowerBI. If you think you are up for the task and feel you meet More ❯

and analytical person with a bias for action. What Technologies We Use: Python, dbtLabs, SQL, GitHub Actions (CI/CD) Terraform, Docker, MLOps Platform (VertexAI, Sagemaker and MLFlow) With ecobee, you'll have the opportunity to: Be part of something big: Get to work in a fresh, dynamic, and ever More ❯

for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. About the company Company Anecdote/Anecdote is an innovative, AI-first startup revolutionizing how companies analyze customer feedback. Our AI-powered platform consolidates feedback from app reviews, support chats, surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, Dropbox, and Careem to collect and derive actionable insights and deliver a … integrations. Ensure they are reliable and responsive. Own the Integrations: Implement new connections and be the master and owner of these integrations. Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification More ❯

focus on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock). Demonstrable experience monitoring the performance and output quality of generative models, including assessing/mitigating hallucinations and coherence of generated content. More ❯

About Fluidstack Fluidstack is the AI Cloud Platform. We build GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more. Our team is small, highly motivated, and focused on providing a world-class supercomputing experience. We … on feedback or data. Hands-on experience with cloud platforms, including AWS (e.g., EC2, Sagemaker, Bedrock, S3, Lambda), Google Cloud (e.g., Compute Engine, Vertex, GKE, BigQuery), Azure (e.g., Virtual Machines, Azure OpenAI) etc. Proficiency in scripting or programming (e.g., Python, Java, or PowerShell). Benefits Competitive total compensation More ❯

for most of our data infrastructure. Feast for storing our features along a variety of tools to train and deploy models. GPT and Vertex models for Large Language Model support. You have a track record guiding teams and stakeholders to prioritise things that drive important metrics and you … schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. Please also use that email to let us know if there's anything we can do More ❯

for most of our data infrastructure. Feast for storing our features along a variety of tools to train and deploy models. GPT and Vertex models for Large Language Model support. We'd love to hear from you if You have a track record of technical excellence, delivering resilient … talk through reasonable adjustments ahead of or during application please us at any point on We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . Please also use that email to let us know if More ❯