151 to 175 of 1,120 Personalization Jobs in the UK

We’re looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office, experienced in generative AI and large models. You will be responsible for developing and disseminating customer-facing personalized recommendation models. This is a hands-on role with a global impact, working with a team of world-class engineers and scientists across the Edinburgh offices More ❯

The Personalization team makes decisions about what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great More ❯

environments. You will work on models that understand and anticipate user behaviour, helping drive proactive, low-latency experiences across immersive platforms. Your work enables real-time pre-rendering, hyper-personalization, and seamless interactivity in VR/AR worlds — making our system feel like it knows what you need before you ask. This role bridges AI, NLP, behavioural modelling, and real … anticipate user actions (voice, gaze, gestures) and proactively trigger content generation and pre-rendering. Implement NLP-powered systems to understand and forecast conversational user input in XR contexts. Design personalization algorithms that adapt content and UI to individual user behaviour and preferences. Collaborate with cloud engineers to integrate predictive models with rendering workflows for ultra-low-latency experiences. Continuously improve … years experience with user behaviour modelling, natural language processing, and multi-modal interaction data. Proficient in Python, TensorFlow or PyTorch, and NLP frameworks (e.g., HuggingFace Transformers). Familiarity with personalization algorithms, recommendation systems, or reinforcement learning. Experience with cloud platforms such as AWS, Google Cloud, or Azure for deploying machine learning solutions. Solid understanding of algorithms, data structures, and software More ❯

more than 600M listeners in more than 180 markets around the world, who use our music, podcast, and audiobook services to find what delights, entertains, educates, and informs them. Personalization is a high impact organization that provides the technology to serve them what they expect to find, to help them explore and find new things to enjoy, and to suggest … be aware of that they would like. Location London Job type Permanent We are looking for a Senior Research Scientist with a machine learning background to help us improve personalization experiences by integrating state-of-the-art generative AI technologies into our recommender systems. You will join a team of machine learning researchers whose focus is on innovating the Spotify More ❯

Bloomreach is building the world's premier agentic platform for personalization . We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're making conversational shopping a reality, connecting … and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for … of at least one of the Bloomreach Engagement platform features. Experience in the following sectors/fields: online analytics, performance marketing, marketing automation, data science, A/B testing, personalization, campaign optimization, customer lifetime value, emailing automation, reactivation, attribution modeling, prediction, product recommendations, e-commerce. Knowledge of e-commerce business and business trends, and the ability to understand clients' business More ❯

Bloomreach is building the world’s premier agentic platform for personalization . We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting … and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous... it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for … of at least one of the Bloomreach Engagement platform features. Experience in the following sectors/fields: online analytics, performance marketing, marketing automation, data science, A/B testing, personalization, campaign optimization, customer lifetime value, emailing automation, reactivation, attribution modeling, prediction, product recommendations, e-commerce. Knowledge of e-commerce business and business trends, and the ability to understand clients’ business More ❯

leadership pieces that showcase the impact of Constructor’s technology in the ecommerce space. Responsibilities Analyze aggregated retailer data to identify key trends and benchmarks in ecommerce search, merchandising, personalization and other aspects of product discovery. Work with the content team to develop compelling data-driven narratives to support Constructor’s marketing initiatives, including blog posts, white papers, and industry … for both technical and non-technical audiences. You are familiar with statistics, A/B testing, and data storytelling principles. A strong understanding of the ecommerce space, including search, personalization, and merchandising trends is preferred. You are proactive and thrive in a fast-paced, remote-first environment. #J-18808-Ljbffr More ❯

key touchpoints, and develop innovative solutions to improve the overall customer experience. Key focus areas include Data Platforms, Martech, Adtech, Tagging, Tracking, Media Buying Skills, Salesforce Marketing Cloud, Customer Personalization and Engagement platforms, and scripting skills related to Media Management and Websites. Key Accountabilities [Key Criteria] Customer Lifecycle Management : Develop and execute strategies to manage the customer lifecycle from acquisition … Media Marketing : Execute campaigns to increase brand awareness. Email Marketing : Manage campaigns to nurture leads and retain customers. Analytics and Data Analysis : Measure campaign performance and derive insights. Customer Personalization Platforms : Use platforms like Sprinklr, HubSpot to deliver personalized experiences. Driving Innovation : Identify opportunities for continuous improvement in Business Banking. Governance and Control : Ensure strong practices are embedded in all More ❯

Description: Mapp Digital is entering a thrilling new chapter with experienced and dynamic leadership at the helm. Our recent acquisition of Dressipi, a leader in AI-driven fashion retail personalization, marks a bold step forward in expanding our solutions for the fashion and retail sector. This is the perfect time to join a company that is transforming the way brands … Dressipi into Mapp Cloud, a significant cross-domain initiative, ultimately leading the charge for packaging Mapp Cloud for Fashion. This role requires subject matter expertise in e-commerce and personalization, particularly integrations with e-commerce platforms, search & merch solutions, SDKs and APIs. Due to the cross-domain nature and overlap with commercial teams, you will be involved in many exciting More ❯

Management, Architecture, and analytics teams to enhance platform capabilities, improve integrations, and drive automation. Stay ahead of industry trends, evaluating new technologies and AI-driven innovations in marketing automation, personalization, and account-based marketing (ABM). Ensure platform scalability and adoption, driving change management initiatives to maximize the effectiveness of marketing technology solutions. About you: You are a strategic, data … work in an Agile environment, prioritizing features based on business impact and customer needs. Experience leading large-scale MarTech implementations, including integration with web content management systems (CMS) and personalization engines. Experience working in a highly regulated industry environment where data privacy and security are of utmost importance. Experience working in a globally distributed workforce and effectively collaborating and delivering More ❯

Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. User Access The User Access team builds critical pipelines and services for aggregating and delivering key user context information to multiple client and backend services. This … Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. User Access The User Access team builds critical pipelines and services for aggregating and delivering key user context information to multiple client and backend services. This More ❯

touchpoints, and develop innovative solutions to improve the overall customer experience, with a strong emphasis on Data Platforms, Martech, Adtech, Tagging, Tracking, Media Buying Skills, Salesforce Marketing Cloud, Customer Personalization and Engagement platforms, and Tagging and Scripting skills associated with Media Management and Websites. Key Accountabilities Key Criteria Customer Lifecycle Management : Develop and execute strategies to manage the customer lifecycle … Manage email marketing campaigns to nurture leads and retain customers. Analytics and Data Analysis : Analyze marketing data to measure campaign performance and provide insights for strategic decision-making. Customer Personalization and Engagement Platforms : Utilize leading customer engagement platforms such as Sprinklr, HubSpot, and others to deliver personalized experiences and enhance customer satisfaction Driving innovation and continuous improvement opportunities for Barclays More ❯

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 Cloud technologies. Key Responsibilities: • Architect retail-centric solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. More ❯

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 Cloud technologies. Key Responsibilities: • Architect retail-centric solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. More ❯

principles and best practices for AI integration. Strong problem-solving skills and ability to work in a team environment. Preferred Qualifications: Experience working with large-scale AI applications and personalization engines. Familiarity with production-scale vector databases (e.g., QDrant, Pinecone, Weaviate). Understanding of AI model interpretability and ethical AI considerations. Exposure to real-time AI applications and MLOps workflows. More ❯

and stakeholder management. - Ability to manage multiple projects and deadlines in a fast-paced environment. Preferred Qualifications: - Adobe Certified Expert (ACE) in AEM or other Adobe products. - Experience with personalization and testing tools (e.g., Adobe Target, Optimizely). - Knowledge of Agile methodologies and project management tools (e.g., Jira, Trello). More ❯

and stakeholder management. - Ability to manage multiple projects and deadlines in a fast-paced environment. Preferred Qualifications: - Adobe Certified Expert (ACE) in AEM or other Adobe products. - Experience with personalization and testing tools (e.g., Adobe Target, Optimizely). - Knowledge of Agile methodologies and project management tools (e.g., Jira, Trello). More ❯

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 Cloud technologies. Key Responsibilities: • Architect retail-centric solutions on GCP that optimize customer experience, supply chain, and omnichannel engagement. More ❯

and stakeholder management. - Ability to manage multiple projects and deadlines in a fast-paced environment. Preferred Qualifications: - Adobe Certified Expert (ACE) in AEM or other Adobe products. - Experience with personalization and testing tools (e.g., Adobe Target, Optimizely). - Knowledge of Agile methodologies and project management tools (e.g., Jira, Trello). #J-18808-Ljbffr More ❯

machine learning models to solve specific business problems, such as product recommendations, customer segmentation, and demand forecasting. Implement such models into production systems to make predictions, drive real-time personalization, and support decision-making. Design and build the necessary infrastructure and tooling to support efficient and scalable model deployment, including CI/CD pipelines and automated testing. Implement and own More ❯

of Figma and design-to-development workflows. Great collaboration skills and the ability to communicate clearly across teams Nice-to-Have: Experience with AI tools and APIs, especially for personalization or product discovery. Familiarity with A/B testing frameworks, analytics tools, and data-led iteration. Knowledge of CI/CD and deployment pipelines. Background in consumer health, wellness, or More ❯

operations and analytics. Demonstrated success managing complex, large-scale projects with multiple stakeholders. Deep understanding of the marketing technology ecosystem, including marketing automation platforms, CRM systems, ABM tools, web personalization, marketing attribution, chatbots, and BI tools. Experience integrating marketing systems to optimize performance and enhance automation. Proven ability to set clear expectations for direct reports, evaluate performance, and support career More ❯

/B and MVT testing programs, including the use of holdout groups. Proven ability to lead and scale company-wide experimentation programs. Deep knowledge of tools supporting automation, experimentation, personalization, attribution, and analytics. Strong collaboration skills with Product Managers, Data, Engineering, and Analytics teams. Expertise in experimentation best practices and scaling strategies for multiple simultaneous tests. Proficiency in quantitative analysis More ❯

Develop and execute AI strategy in partnership with executive leadership Lead and mentor a multidisciplinary AI and data science team Continuously improve proprietary models for content generation, decisioning, and personalization Oversee online experimentation and data-driven product development Support sales and retention teams with AI insights and strategy Present AI solutions and progress directly to client senior executives and C More ❯

roadmap, which includes integrating AI models developed by our Applied Scientist to identify circular product selection, making Amazon’s demand generation systems more "circularity-aware" to improve discoverability and personalization, simplifying the evaluation and comparison of durable products, and amplifying post-purchase services to help customers maximize the lifespan of their purchases. About the team You will join the Circular More ❯