1 to 25 of 70 Permanent Vertex AI Jobs in London

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 ❯

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 ❯

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 ❯

predictive and powerful ways. Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and … reducing time spent on "data mechanics". Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent. Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time. Onyx Product Management is at … applications. We are seeking a highly skilled and experienced Senior Product Manager, AIML Platform. In this role, you will be responsible for developing the product strategy of our AI/ML Platform to meet customer needs. You will partner closely with the leaders of Onyx's customer organizations, including AI/ML, a diversity of R More ❯

Job Title: DevOps Specialist & Data Engineer Location: Remote Type: Full-time Experience Level: Senior Industry: Generative AI/Artificial Intelligence/Machine Learning Reports To: Head of Engineering/CTO About Us Ready to join a cutting edge AI company? We’re on a mission to become the OpenAI of the spicy content industry, building a … full-spectrum ecosystem of revolutionary AI infrastructure and products. Our platform, OhChat, features digital twins of real-world personalities and original AI characters, enabling users to interact with lifelike AI-generated characters through text, voice, and images, with a roadmap that includes agentic superModels, API integrations, and video capabilities. Role Overview We are looking … and workflows. Design and implement solutions for data ingestion, transformation, and storage using tools such as Scrappy , Playwright , agentic workflows (e.g. crawl4a i) or equivalent. Optimize and benchmark AI training/inference/data workflows to ensure high performance, scalability, cost and an exceptional customer experience. Maintain data quality, lineage, and compliance across multiple environments. Key Requirements 5+ 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 ❯

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 ❯

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 ❯

DEPT/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our EMEA Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT teams around … passionate Data Scientist & ML Engineer to join our growing team. As a Data Scientist & ML Engineer, you will play a crucial role in designing, developing, and deploying innovative AI solutions for our clients across various industries. You will collaborate with a team of experts to solve complex business challenges using cutting-edge AI technologies. KEY RESPONSIBILITIES … optimization Understanding of customer experience principles and marketing analytics including customer journey mapping, conversion optimization, and marketing funnel analysis Proficiency in Python with extensive experience in data science & AI libraries (e.g.scikit-learn, pandas, NumPy, SciPy, etc) Experience with ML frameworks such as TensorFlow, PyTorch, XGBoost, LightGBM, or similar Strong SQL skills and experience with data warehousing solutions (Snowflake 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 ❯

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 ❯

major industries, so you can shape the career you truly desire with us. YOUR ROLE In this role you will play a key role in: Delivering or leading AI projects , planning and executing activities using Agile methodologies, tracking progress, managing risks, and ensuring strategic alignment with client ambitions. Spearheading Workplace AI solution prototyping with the support … of peers and senior technical colleagues, to respond to latest client demands in innovation and to cement our position in the market. Helping to mature the Workplace AI offering applying out-of-the-box thinking to new business problems, defining solutions that are feasible, viable, desirable, and sustainable, while delivering impactful strategic presentations. Contributing to the collective upskilling … of our team , instigating new trends in AI and helping your peers keep up with a fast-moving market, identifying and sharing new learnings that can be used to better support our clients. As part of your role, you will be expected to support or drive to the following activities: Client Advisory and Delivery Help clients realise their More ❯

in coding with C++ or Python Solid understanding of ML fundamentals, algorithms, and techniques, including supervised, unsupervised, and reinforcement learning, and experience in NLP, computer vision, and generative AI Preferred Qualifications Experience with generative models such as diffusion models, GANs, and transformers for various media formats, including prompt engineering, fine-tuning, and evaluation Knowledge of RL algorithms and … including policy gradient methods, Q-learning, and actor-critic architectures Experience leading high-performing research or engineering teams and fostering an inclusive culture Published research in ML/AI conferences or journals, demonstrating strong communication of complex technical concepts Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques for evaluating and optimizing agent behavior About the … ML/AI adoption across Google by developing efficient solutions in areas like parameter tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization manages the hardware, software, ML, and infrastructure for all Google services and Google Cloud, prioritizing security, efficiency, and reliability to shape the future of hyperscale computing More ❯

are looking for a Technologist first, with these additional capabilities. Architecture and Engineering practice capability is essential. ROLE REQUIREMENTS Client facing. Thought Leadership and promotion of AKQA Technology. AI Adopter AI Usage - proficient elevated workflow and development, AI Solutions - landscape, systems design and integration, AI Creation - Understanding of training and creation of … improve processes per project, client workstreams and in the technology department as a whole. Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify AI platforms such as AWS Bedrock, Microsoft Azure AI, Google Vertex AI AI frameworks such as AutoGen, Langflow Fine-tuned and train … AI models Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful or GraphQL APIs Microservices and MACH Architectures. HTML, CSS, Javascript frameworks such as React, or Mobile technologies such as SwiftUI, Kotlin, Flutter or React-native CMS and DXPs SaaS products integration Atlassian, Azure DevOps, GitLab or similar workflow tools Understanding of Automation and More ❯

the ability to influence across engineering and business boundaries. • Passion for growing people and building diverse, inclusive teams. Preferred • Experience with modern ML platforms such as Databricks or Vertex AI. • Exposure to deploying and optimising LLMs or other frontier models in production. • Background in regulated environments or sectors with sensitive data governance needs. • Track record of delivering horizontal 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 employee experience. You'll work on exciting projects 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 We're Looking For Experience in consulting or advisory roles. Strong communication and stakeholder management skills. Knowledge of AI tools and More ❯

experts, and we invite you to be at its vanguard! This is your opportunity to move beyond incremental improvements and architect truly transformative solutions, shaping the future of AI and accelerated computing for Google and the world. While known for pioneering work with TPUs, GPUs are an equally vital and rapidly expanding frontier within Google's machine learning … performance-driven reasons - ensuring top performance for our ML models, adapting to ML workloads, achieving results, and influencing next-generation GPU architectures via strategic partnerships. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end … our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Responsibilities Build optimizations that improve benchmarks, but also power Google's most critical More ❯

Google and Meta ad platforms (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 INTERVIEW PROCESS For this role More ❯

forecasting). Practical experience with 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 skills include: Football Analytics Domain … 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 (e.g., PyMC). Stakeholder Management: Proven success working directly with More ❯

forecasting). Practical experience with 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 skills include: Football Analytics Domain … 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 (e.g., PyMC). Stakeholder Management: Proven success working directly with More ❯