1 to 25 of 120 Remote Vertex AI Jobs

Job Description Aventis Solutions has partnered with a fast-growing British tech team seeking a series of AI/ML Engineers, including Senior, Principal & Team Leads, to build scalable, production-grade AI systems and help shape a forward-thinking machine learning and engineering capability. This is your opportunity to work in an elite innovation team, surrounded … or senior leadership positions. As the AI Innovation Lab grows, there will be ample opportunity to specialise in advanced areas such as LLM systems, MLOps, or cloud AI platforms, or to take on broader product or technical leadership roles. Key Skills, Attributes & Tech Desired: Builder : Solid background in building and deploying data science, machine learning or … at scale, ideally within product environments or a data-rich business. Tech-savvy : Proficient in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). Strong command of cloud- AI tooling (e.g., AWS SageMaker, GCP Vertex AI, AzureML/AzureAI, MLflow, Weights & Biases). Well-rounded Engineer : Comfortable working with version-controlled codebases, DevOps More ❯

day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Direct message the job poster from HR Ways - Hiring Tech Talent HR Generalist | Tech Recruiter | Executive Search | HR Operations | Payroll Specialist Hiring Sr. Machine Learning Engineer - Hybrid in London, UK Client Introduction: The company is a multinational Sweden SAAS … Geometric, or similar. Experience with ScaNN or other approximate nearest neighbor (ANN) techniques for vector similarity search. Hands-on experience with Google Cloud Platform (GCP) tools such as Vertex AI, BigQuery, and Dataflow. Strong problem-solving and communication skills, including the ability to work with clients and cross-functional teams. Preferred to Have: PhD in Computer … Science, AI/ML, or related field. Experience with production ML systems and MLOps pipelines using Kubeflow or Vertex AI Pipelines. Knowledge of transformers and large language models (LLMs). Understanding of recommender systems, natural language processing, or graph-based search engines. Contributions to open-source ML libraries or published research in AI 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 our customer acquisition more efficient, improve our customer retention rates … and engineering data marts to 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. Aim for automation to enable a faster time-to-market and better reusability of new AI 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 our customer acquisition more efficient, improve our customer retention rates … and engineering data marts to 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. Aim for automation to enable a faster time-to-market and better reusability of new AI More ❯

of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. Job Description Role Overview As a Pre-Sales AI Architect, you will play a pivotal role in identifying, shaping, and securing new AI opportunities by bridging the gap between complex customer challenges and transformative, AI … a strong blend of technical expertise, business acumen, and communication skills. You will work closely with clients, account teams, and delivery leads to understand customer needs, design compelling AI solutions, and contribute to successful bid strategies and proposals. You are expected to act as a trusted advisor to both internal teams and client stakeholders, translating real-world challenges … into scalable AI architectures that demonstrate tangible business value. Your work will directly support sales growth by influencing solution design, estimating effort and risk, and differentiating our offer through innovation and credibility. Key Responsibilities 1. Shape AI Solutions in Response to Client Needs Engage with client stakeholders to uncover pain points, business drivers, and opportunities for More ❯

ML models to production at 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 analysed large scale A/… B experiments Experience 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 job and level yourself up Discounted holidays More ❯

Hands-on Expertise: Proficient in data science, with coding experience in Python and SQL, and the ability to mentor others. Technical Proficiency: Experience with ML Ops (Dataiku and Vertex AI), Git version control, and software engineering best practices. Problem-Solving and Innovation: A passion for tackling business challenges and applying new data science techniques. Communication and More ❯

leadership activities such as blogging, public speaking, and participation in technology events Qualifications Experience Requirement: Minimum of 4+ years of experience in architecting, deploying, and managing cloud-based AI/ML solutions. Core AWS Expertise: Expertise in architecting, developing, and troubleshooting large production-grade distributed systems on AWS, and selecting the appropriate tools to address business problems at … the correct scale. Advanced proficiency in AWS, with a focus on Generative AI and machine learning services. Certified AWS Solutions Architect Professional and/or AWS Machine Learning Specialty Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads. Generative AI and Cutting-Edge Technologies: Expertise in Amazon Bedrock … Feedback), foundation model fine-tuning, and hybrid AI architectures. Familiarity with integrating open-source tools like Hugging Face Transformers and AWS-native solutions. Knowledge of Multi-Cloud AI Tools: Good knowledge and understanding of Google Cloud AI tools such as Vertex AI, Cloud AutoML, and BigQuery ML, enabling effective integration More ❯

Are you passionate about data science and AI? Do you want to apply your skills and knowledge to help shape the future of Deloitte? If so, we have an exciting opportunity for you to join our Enabling Functions team as an AI Architect & Data Scientist. You be part of an exciting innovative team that delivers cutting … edge GenAI solutions. As an AI Architect & Data Scientist, you will work on innovative projects that leverage data and AI to enhance our internal capabilities and deliver value to our employees. You will collaborate with experts from across the firm, using cutting-edge tools and technologies to solve complex business problems. You will also have the … opportunity to develop your career and learn new skills in a supportive and inclusive environment. You will be reporting to the Head of AI-CoE. Connect to your career at Deloitte Deloitte drives progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding More ❯

teams to understand customer challenges, 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 Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures. GCP Service Mastery: Deep knowledge of core … of Vertex AI'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 Design: Building scalable, secure, and More ❯

to help Elanco deliver on customer needs faster than ever before. This role is part of our new enterprise platform engineering team with a specific focus on generative AI capability and their implementation in Elanco. This role will be working on the cutting edge of Gen AI capability strategizing, building, and supporting our own implementations in … run responsibilities for GenAI ensuring robust support folding into standard incident processes as the products mature. Help work with distributed teams across the business on how to consume AI/ML capabilities. Hands on code, build, govern, and maintain. Working as part of a scrum team, deliver high quality technical deliverables. Designing and building solutions to support the …/CD), Test-Driven Development (TDD), SDLC, etc. Familiarity working within an agile team. Developing machine learning models (Python or TensorFlow). Familiarity with natural language processing or AI technologies (e.g. LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering). Experience with data pipelines and preferably processing of documents (e.g. using Google Cloud Fusion/Azure Data More ❯

Are you ready to shape the future of AI within a future-ready enterprise rethinking how AI drives value? We're looking for a GenAI Specialist to help build and scale our client's AI Competence Center in Brussels. If you're a seasoned data scientist passionate about Generative AI, LLMs, RAG … measurable business impact, we want to hear from you. Your Contribution: Design and implement predictive models and advanced analytics solutions Apply cutting-edge GenAI techniques (LLMs, RAG, agentic AI) and deploy models in production environments Translate business needs into actionable AI solutions with real impact Collaborate with cross-functional teams to scale AI use … cases across the organization Contribute to the growth of the AI Competence Center by thinking proactively, proposing new ideas, and identifying innovative ways to implement AI across departments Your Profile: Min 5 years of experience in data science within a business context Data wrangling, statistical analysis, machine learning, and predictive modeling Python and libraries such as More ❯

Get AI-powered advice on this job and more exclusive features. Company Description Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise, and a people-centric mindset, we consult and partner with leading brands from various industries to … world impact - be part of a global shift by doing work that matters. Job Description Role Overview The Lead Data Scientist is responsible for developing and deploying advanced AI/ML models, leveraging statistical techniques, machine learning, and deep learning to extract actionable insights. This role requires strong expertise in Python-based AI/ML development … big data processing, and cloud-based AI platforms (Databricks, Azure ML, AWS SageMaker, GCP Vertex AI). Key Responsibilities Data Exploration & Feature Engineering Perform thorough Exploratory Data Analysis (EDA) and identify key variables, patterns, and anomalies. Engineer and select features for optimal model performance, leveraging domain understanding. Machine Learning & Statistical Modelling Implement both classical More ❯

to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting … in a cloud-native environment. Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt. Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision. All profiles will be More ❯

to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting … in a cloud-native environment. Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt. Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision. All profiles will be More ❯

to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting … in a cloud-native environment. Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt. Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision. All profiles will be More ❯

to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting … in a cloud-native environment. Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt. Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision. All profiles will be More ❯

to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting … in a cloud-native environment. Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt. Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision. All profiles will be More ❯

to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: Model training orchestration CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting … in a cloud-native environment. Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt. Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision. All profiles will be More ❯

platform engineering teams to identify technical gaps, scope backend development efforts, and deliver core platform capabilities such as: CI/CD for ML (e.g., using MLflow, Kubeflow, or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting … in a cloud-native environment. Strong understanding of programmatic advertising, attribution modeling, campaign measurement, and media mix optimization. Familiarity with cloud platforms (especially GCP) and tools like BigQuery, Vertex AI, Dataflow, Airflow, and dbt. Excellent communication and stakeholder management skills, with the ability to align cross-functional teams around a shared vision. All profiles will be More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯

stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data in More ❯