1 to 25 of 129 Vertex AI Jobs in the UK

About the Role : (Retail experience) We are seeking an experienced Cloud Architect with strong domain expertise in the retail sector and technical proficiency in vector search technologies and AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google … solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. • Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for personalized product search and recommendations. • Design AI-powered agent systems to support customer service, inventory management, and sales enablement use cases. • Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies. • Lead … Engineering, or related field. • 10+ years of experience in cloud architecture/solution engineering, including at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such More ❯

About the Role : (Retail experience) We are seeking an experienced Cloud Architect with strong domain expertise in the retail sector and technical proficiency in vector search technologies and AI-driven agent systems. This role is responsible for designing scalable and intelligent cloud-native architectures that enhance personalization, product discovery, and operational efficiency for major retail customers using Google … solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. • Implement and optimize vector search capabilities (e.g., ScaNN, FAISS) for personalized product search and recommendations. • Design AI-powered agent systems to support customer service, inventory management, and sales enablement use cases. • Collaborate with retail clients to assess current infrastructure and define scalable cloud transformation strategies. • Lead … Engineering, or related field. • 10+ years of experience in cloud architecture/solution engineering, including at least 3 years in the retail industry. • 5+ years of experience in AI/ML engineering, with at least 2+ years specifically focused on Generative AI (LLMs, diffusion models, etc.). • Extensive experience designing GCP-based architectures leveraging services such More ❯

Health Cash Plan, Dental, Will Writing etc Annual Leave 23 days rising to 27 with length of service Sick Pay Increasing with length of service The Role: Senior AI Engineer Overview of role AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support … 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 initiatives. Collaboration: Work in tandem with the AI Product Owner and other team members to create, curate, and maintain high-quality AI … team and the projects. Conduct and own external data collection efforts - including state-of-the-art prompt engineering techniques to support the construction of state-of-the-art AI models. Stay up-to-date with new technologies and best practices in data engineering, advancements in generative AI, transformer architectures, and retrieval-augmented generation (RAG) techniques. Ensure More ❯

design. • Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management. Strong experience deploying and productionising ML models. Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies. Excellent problem-solving skills … and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight Skills with MLOps concepts and principles. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in … programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI). What we offer Culture of caring: At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put More ❯

design. Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management. Strong experience deploying and productionising ML models. Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies. Excellent problem-solving skills … and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight Skills with MLOps concepts and principles. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). Proficiency in … programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI). What we offer Culture of caring: At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put More ❯

design. • Proficiency in data visualization and interpretation of ML results. Job Responsibilities • Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management. • Strong experience deploying and productionizing ML models. • Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies. • Excellent problem-solving skills … and the ability to troubleshoot complex issues in AI/ML systems. Technical Insight • Skills with MLOps concepts and principles. • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization tools (e.g., Docker, Kubernetes). • Proficiency in … programming languages such as Python, experience with AI/ML frameworks (e.g., TensorFlow, PyTorch), and experience with MLOps frameworks/tools (e.g. Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI). What We Offer Culture of Caring: At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put 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 ❯

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 GenAI capability strategizing, building, and supporting our own implementations in Elanco. This is … a diverse team on some of Elanco's most exciting engineering initiatives helping drive secure, reliable, and efficient solutions using the latest technology. Stay abreast of the latest AI research, trends, and technologies, and apply this knowledge to drive continuous improvement and innovation within the team. Look for continuous improvement opportunities in our core ecosystem identifying new ways … 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 More ❯

a year. Some of our other notable customers include Intuit, Lockheed Martin, Novartis, UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy generative AI (GenAI) recognized graph databases as essential for improving it's accuracy, transparency, and explainability. Growth was further fueled by enterprise demand for Neo4j's cloud offering and partnerships with … relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. Job Summary: As an AI Solutions Consultant at Neo4j, you will drive transformative change by designing, building, and deploying innovative solutions that combine the power of graph databases and AI. You'll work hands … tangible business value. This involves collaborating closely with customer executives and technical leaders to understand their specific needs and then leveraging your expertise in graph technologies, LLMs, and AI orchestration frameworks to develop bespoke, production-ready AI applications grounded in real-world context using Neo4j Knowledge Graphs. Providing hands-on consulting and technical expertise for customer 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 ❯

Social network you want to login/join with: Pre Sales AI Architect, Newcastle upon Tyne col-narrow-left Client: Version 1 Location: Newcastle upon Tyne, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 522736db29e3 Job Views: 5 Posted: 29.06.2025 Expiry Date: 13.08.2025 col-wide Job Description: 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-powered solutions. This highly consultative role requires 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 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 Shape AI Solutions in Response to Client Needs Engage with client stakeholders to uncover pain points, business drivers, and opportunities for AI More ❯

Job Role : Data Science Manager - Marketing & Customer Generative AI Enterprise Architect Location: London/Manchester/Edinburgh/Newcastle/Birmingham Career Level : Manager (L7) We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and … potential of imagination, technology and intelligence. Visit us at: https://www.accenture.com/gb-en/about/accenture-song-index As a team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI … capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's More ❯

at loveholidays. You'll be a catalyst for innovation, a mentor to junior team members, and a trusted advisor to stakeholders across the business, helping to implement our AI strategy and align data science capabilities with business objectives. Your day-to-day: Leading strategic initiatives from conception to delivery, including stakeholder management and business value articulation Researching and … experiment tracking Track record of successful technical mentorship and team development Demonstrated cross-functional collaboration skills across engineering, product, and business teams Desirable Expertise in Deep Learning, Generative AI and Reinforcement Learning Advanced knowledge of Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry Experience designing and analysing large-scale … A/B test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Infrastructure as Code Experience establishing data science best practices across an organisation Perks of joining us: Company pension contributions at 5%. Individualised training budget More ❯

at loveholidays. You'll be a catalyst for innovation, a mentor to junior team members, and a trusted advisor to stakeholders across the business, helping to implement our AI strategy and align data science capabilities with business objectives. Leading strategic initiatives from conception to delivery, including stakeholder management and business value articulation Researching and developing cutting-edge models … and experiment tracking Track record of successful technical mentorship and team development Demonstrated cross-functional collaboration skills across engineering, product, and business teams Expertise in Deep Learning, Generative AI and Reinforcement Learning Advanced knowledge of Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry Experience designing and analysing large-scale … A/B test experiments Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect Expert knowledge of technologies such as: Google Cloud Platform, particularly Vertex AI Docker and Kubernetes Infrastructure as Code Experience establishing data science best practices across an organisation Perks of joining us: Company pension contributions at 5%. Individualised training budget 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 ❯

GenAI-powered solutions within the enterprise platform. The Product Manager, DX GenAI Delivery plays a vital role in accelerating the deployment of high-impact use cases-such as AI-powered applications and agents-on approved Mars AI Platforms. This role ensures that GenAI aligns with Responsible AI, governance, ethical standards, and platform capabilities. By … delivers responsible, impactful, and measurable digital transformation through AI. What are we looking for? 7+ years of experience in digital product management, with at least 2 years delivering AI, ML, or GenAI solutions in an enterprise environment Proven track record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed … organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability to prioritize a dynamic backlog, define roadmaps, and deliver value-focused outcomes under tight More ❯

GenAI-powered solutions within the enterprise platform. The Product Manager, DX GenAI Delivery plays a vital role in accelerating the deployment of high-impact use cases-such as AI-powered applications and agents-on approved Mars AI Platforms. This role ensures that GenAI aligns with Responsible AI, governance, ethical standards, and platform capabilities. By … delivers responsible, impactful, and measurable digital transformation through AI. What are we looking for? 7+ years of experience in digital product management, with at least 2 years delivering AI, ML, or GenAI solutions in an enterprise environment Proven track record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed … organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability to prioritize a dynamic backlog, define roadmaps, and deliver value-focused outcomes under tight More ❯

GenAI-powered solutions within the enterprise platform. The Product Manager, DX GenAI Delivery plays a vital role in accelerating the deployment of high-impact use cases-such as AI-powered applications and agents-on approved Mars AI Platforms. This role ensures that GenAI aligns with Responsible AI, governance, ethical standards, and platform capabilities. By … delivers responsible, impactful, and measurable digital transformation through AI. What are we looking for? 7+ years of experience in digital product management, with at least 2 years delivering AI, ML, or GenAI solutions in an enterprise environment Proven track record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed … organizations Strong understanding of GenAI concepts, including LLMs, AI agents, prompt engineering, and platform capabilities (e.g., Azure AI Foundry, Google Vertex AI) Experience working with cross-functional teams, including engineering, data science, design, and business stakeholders Demonstrated ability to prioritize a dynamic backlog, define roadmaps, and deliver value-focused outcomes under tight More ❯

The ideal candidate will be responsible for designing and deploying scalable AI and ML solutions that supports informed decision-making across the organization. You will build and integrate AI-powered applications, particularly those leveraging large language models (LLMs), developing interactive dashboards, integrating LLMs into BI platforms and predictive models to enhance business insights and improve user … experience. Education A bachelor’s degree in computer science, Data Science, Artificial Intelligence, or a related field. Master’s degree preferred, especially with a focus on AI or Machine Learning. Experience & Skills • Minimum 8 years of experience in Data Science, AI Engineering, advanced analytics, or related roles; Oil and Gas industry experience is a plus. • Experience … in developing AI solutions using cloud platforms such as Microsoft Azure, AWS, or GCP, and tools like AI Foundry, Copilot Studio, Vertex AI Studio, and Databricks Mosaic AI. • Design and deploy AI/ML models and LLM-powered applications to support business use cases and enhance decision-making. • Integrate AI 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 ❯