26 to 50 of 102 Remote Vertex AI Jobs

Social network you want to login/join with: Founding Backend Engineer – AI/ML & Knowledge Retrieval, Slough Client: Praktiki Location: Slough, United Kingdom Job Category: Other - EU work permit required: Yes Job Views: 5 Posted: 31.05.2025 Expiry Date: 15.07.2025 Job Description: Location: Hybrid – London (Euston … fast and is mission driven. The Role As our Founding Backend Engineer , you will steer the technical direction, culture, and architecture of our AI‐powered knowledge platform. You’ll own the services that ingest, index, and serve medical content for our Q&A feature. You’ll design scalable … search quality and answer accuracy (BLEU/ROUGE, human‐in‐the‐loop, automatic hallucination checks). Deploy & monitor services on GCP (Cloud Run, Vertex AI, Pub/Sub, BigQuery) with Terraform, CI/CD, logging, metrics, and alerting. Collaborate closely with product, mobile, and medical SME More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

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 … 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 More ❯

Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable … Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming More ❯

Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable … Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming More ❯

Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable … Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming More ❯

Job Title: AI Engineer Job Description We are seeking a highly skilled and innovation-focused Generative & Agentic AI Engineer to join our AI engineering team. This role is central to designing, developing, and iterating on fast-paced prototypes that explore the latest in LLMs … and reasoning workflows. The ideal candidate is proficient in Python, experienced in building multi-step intelligent systems, and comfortable working across UI, APIs, cloud AI platforms, and observability tools. Responsibilities Rapidly build and iterate on LLM- and agent-based prototypes for various use cases, including chatbots, copilots, and … retrieval. Incorporate semantic search and embedding strategies for more relevant and grounded LLM responses. Utilize Guardrails to implement applications that adhere to responsible AI guidelines. Optimize model performance for latency, throughput, and cost-efficiency. Implement short-term and long-term memory modules to support persistent agent behaviours. Use More ❯

fast and is mission driven. The Role As our Founding Backend Engineer , you will steer the technical direction, culture, and architecture of our AI‐powered knowledge platform. You’ll own the services that ingest, index, and serve medical content for our Q&A feature. You’ll design scalable … search quality and answer accuracy (BLEU/ROUGE, human‐in‐the‐loop, automatic hallucination checks). Deploy & monitor services on GCP (Cloud Run, Vertex AI, Pub/Sub, BigQuery) with Terraform, CI/CD, logging, metrics, and alerting. Collaborate closely with product, mobile, and medical SME … data handling (NHS DSPT), and GDPR compliance. Tech you’ll use Python • FastAPI • LangChain/LlamaIndex • PostgreSQL + PGVector • Redis • Pinecone/Weaviate • Vertex AI • Cloud Run • Docker • Terraform • Prometheus/Grafana • GitHub Actions What we’re looking for Master’s degree in Computer Science, Software More ❯

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 … 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 … 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 More ❯

fast and is mission driven. The Role As our Founding Backend Engineer , you will steer the technical direction, culture, and architecture of our AI‐powered knowledge platform. You’ll own the services that ingest, index, and serve medical content for our Q&A feature. You’ll design scalable … search quality and answer accuracy (BLEU/ROUGE, human‐in‐the‐loop, automatic hallucination checks). Deploy & monitor services on GCP (Cloud Run, Vertex AI, Pub/Sub, BigQuery) with Terraform, CI/CD, logging, metrics, and alerting. Collaborate closely with product, mobile, and medical SME … data handling (NHS DSPT), and GDPR compliance. Tech you’ll use Python • FastAPI • LangChain/LlamaIndex • PostgreSQL + PGVector • Redis • Pinecone/Weaviate • Vertex AI • Cloud Run • Docker • Terraform • Prometheus/Grafana • GitHub Actions What we’re looking for Master’s degree in Computer Science, Software 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, and agentic workflows, and eager to push the boundaries of what's possible while driving real, 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 More ❯

continue reading this posting as you may have found a great home for your career. Job Description RCH Solutions is seeking a Generative AI Architect todesign, develop and implement AI solutions in support of our customers’ scientific initiatives.This role will focus on designing, developing, and implementing … generative AI solutions to support cutting-edge research initiatives, including drug discovery, personalized medicine, bioinformatics, and clinical research. The ideal candidate will have deep expertise in AI/ML, particularly in generative models, and a strong understanding of life sciences applications to accelerate research outcomes and … or analytics initiatives as well as in a consultative, advisory, or customer support manner. Specific focuses and responsibilities include: Architect and develop generative AI models (e.g., GANs, VAEs, transformers, diffusion models) tailored to life sciences research challenges, such as molecular design, protein folding, or genomic data analysis. Collaborate More ❯

possible in home healthcare. Together, we will continue to make a meaningful difference in the lives of millions. Your mission at Birdie: Architecting AI Solutions for Enhanced Care As a Staff AI Engineer, you will be instrumental in developing and scaling future product launches, building on … our unique data set and latest technology advancements in generative and symbolic AI. You will rapidly design, develop and maintain applied AI solutions that optimise workflows for our partners, working in close partnership with our existing product teams to directly improve the quality and efficiency of care delivery … in the community. How you will contribute Develop and Deploy AI Solutions: Design, build, and deploy scalable AI products and applications that address critical challenges in home care. Analyse and Optimise User Workflows: Leverage AI to analyse user workflows and identify opportunities for optimisation 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 … 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 More ❯

Technical AI Consultant Location: UK (Hybrid) (London, Glasgow, Manchester) Type: Full-time | Permanent Clearance: BPSS or SC preferred Salary: £45000 - £70000 About the Role My client is looking for a forward-thinking Workplace AI Consultant to help deliver innovative AI solutions that transform the … using tools like Microsoft Copilot, Amazon Q, and other GenAI platforms to solve real business challenges. What You'll Do Lead or support AI project delivery using Agile methods. Prototype and build AI solutions using platforms like Azure AI Foundry or Google Vertex AI. Help clients adopt AI tools to improve workplace productivity and collaboration. Communicate the value of AI through clear, strategic presentations. Stay up to date with AI trends and help grow internal capabilities. Support business development through proposals and client engagement. What More ❯

s and Google Cloud Storage (GCS). Multi-environment Deployment: Create and deploy workloads across Development (DEV), Testing (TEST), and Production (PROD) environments. AI Solutions : Implement AI solutions using Google's Vertex AI for building and deploying machine learning models. Certification Desired 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 … 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 More ❯

as we continue to push the boundaries of home healthcare, making a meaningful difference in millions of lives. Your mission at Birdie: Architecting AI Solutions for Enhanced Care As a Staff AI Engineer, you will develop and scale product launches, building on our unique data set … and latest advancements in generative and symbolic AI. You will design, develop, and maintain applied AI solutions that optimize workflows for our partners, working closely with product teams to improve care quality and efficiency. Develop and Deploy AI Solutions: Design, build, and deploy scalable AI products to address critical home care challenges. Analyze and Optimize User Workflows: Use AI to analyze workflows and identify optimization opportunities, ensuring solutions meet user needs and deliver measurable improvements. Build and Maintain AI Infrastructure: Architect and manage robust AI infrastructure, integrating 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 ❯

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 More ❯

e.g. Google Ads, Campaign Manager, GA4, Meta Ads Manager) and an understanding of how to leverage them for performance insight Working knowledge of AI and machine learning tools (e.g. ChatGPT, Google Vertex AI, Claude), and how they can enhance analytics workflows and support innovation More ❯

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 More ❯

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 More ❯