76 to 100 of 384 Personalization Jobs in the UK

The CRM & Loyalty Strategist role within VML Enterprise Solutions' Commerce Performance team offers an unparalleled opportunity to launch your career at the forefront of customer engagement. You'll play a foundational role in supporting the development and execution of cutting More ❯

Role: Data Engineer Salary: £70,000 - £75,000 WFH: Hybrid - 2 days/week in office, Central London Overview Our client is a fast-growing technology company powering personalised mobile content experiences for millions of users across the UK. With More ❯

The Financial Times is one of the world's leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. More ❯

Senior Manager, MarTech & Content Operations London, UK Hogarth is the Global Content Experience Company. Part of WPP, Hogarth partners with one in every two of the world's top 100 brands including Coca-Cola, Ford, Rolex, Nestlé, Mondelez and Dyson. More ❯

The Financial Times is one of the world's leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. More ❯

where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed. As a Machine Learning Engineer, you will be working within our Personalization team, helping to shape and drive the development of numerous products and initiatives that allow our customers to personalise messages across all digital touchpoints. This includes working with multi-modal … key difference across both OptiX and Optimove's overall platforms. We are looking for an experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving … Operationalize models as APIs working in real-time and batch environments. Monitor production models, ensuring data quality and model performance. Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text. Leverage LLMs and other cutting-edge technologies to enhance product capabilities. Research and investigate new machine learning applications within the company More ❯

where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed. As a Machine Learning Engineer, you will be working within our Personalization team, helping to shape and drive the development of numerous products and initiatives that allow our customers to personalise messages across all digital touchpoints. This includes working with multi-modal … key difference across both OptiX and Optimove's overall platforms. We are looking for an experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving … Operationalize models as APIs working in real-time and batch environments. Monitor production models, ensuring data quality and model performance. Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text. Leverage LLMs and other cutting-edge technologies to enhance product capabilities. Research and investigate new machine learning applications within the company More ❯

are interested in applying for this job, please make sure you meet the following requirements as listed below. As a Machine Learning Engineer, you will be working within our Personalization team, helping to shape and drive the development of numerous products and initiatives that allow our customers to personalise messages across all digital touchpoints. This includes working with multi-modal … key difference across both OptiX and Optimove's overall platforms. We are looking for an experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving … Operationalize models as APIs working in real-time and batch environments. Monitor production models, ensuring data quality and model performance. Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text. Leverage LLMs and other cutting-edge technologies to enhance product capabilities. Research and investigate new machine learning applications within the company More ❯

leader in customer data infrastructure for AI, enabling every organization to transform raw behavioral data into governed, high-fidelity fuel for AI-powered applications-including advanced analytics, real-time personalization engines, and AI agents. Digital-first companies like Strava, HelloFresh, Auto Trader, Burberry, and DPG Media use Snowplow to collect and process event-level data in real time, delivering it … to insight. This is a role for someone who enjoys bridging data collection, transformation through SQL-based models, and high-level intelligence - enabling real-time pipelines that support analytics, personalization, and emerging agentic experiences. What you'll be doing: Developing and maintaining a suite of production SQL data models used by our customer base and the community. Primarily focusing on … data models, and drive what data model tooling we provide as part of our commercial offering as well. Building and optimizing real-time and batch data pipelines that power personalization, recommendation engines, and predictive models - from streaming ingestion and transformation using Benthos , to materializing features for agentic use cases and customer-facing AI systems. Supporting our prospect/customer facing More ❯

you will be doing: Lead the development of AI/ML solutions for marketing technology and digital automation. Design, build, and optimize machine learning models focused on customer segmentation, personalization, predictive analytics, and ad targeting. Apply AI to solve data quality challenges and drive campaign automation, budget allocation, and A/B testing strategies. Analyze large-scale marketing data to More ❯

you will be doing: Lead the development of AI/ML solutions for marketing technology and digital automation. Design, build, and optimize machine learning models focused on customer segmentation, personalization, predictive analytics, and ad targeting. Apply AI to solve data quality challenges and drive campaign automation, budget allocation, and A/B testing strategies. Analyze large-scale marketing data to More ❯

knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets - Experience in cloud architecture and implementation - Understanding of building personalization and recommendation systems using AI - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery and trade-offs of a product PREFERRED QUALIFICATIONS - Knowledge of More ❯

alignment between what Kumo offers and prospective customer expectations. Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. Guide the customer to achieve meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience. More ❯

connection of strategic goals to engagement priorities to channel specific strategies (e.g. social, CRM, website, paid media, apps, rep-delivered and more) This includes building connected ecosystems and enabling personalization at scale to maximize customer impact and drive business results. Sets expectations for how the segment/audience profile fits into the project and how it helps set the stage More ❯

connection of strategic goals to engagement priorities to channel specific strategies (e.g. social, CRM, website, paid media, apps, rep-delivered and more) This includes building connected ecosystems and enabling personalization at scale to maximize customer impact and drive business results. Sets expectations for how the segment/audience profile fits into the project and how it helps set the stage More ❯

ensure alignment and integration across product lines. Data and Analytics: Utilize data analytics to inform product decisions, optimize performance, and identify new opportunities. Leverage eCommerce-related data to drive personalization, targeting, and promotional strategies. Explore opportunities for data monetization while ensuring compliance with privacy regulations. Market and User Insight: Integrate market research into product strategy, staying ahead of industry trends More ❯

the architecture for bigger projects and mentor senior data scientists to take on the challenge of building and coding your architecture into existence. Experience in the domain of search, personalization, recommendations and machine learning techniques Commercial experience in a data science role solving high impact business problems Technical leadership - you are able to think about system design and architecture Mentoring More ❯

working closely with Marketing, Merchandising, Category, Data, and Digital teams. Additionally, you will analyze customer behavior, sales data, and marketing activities to optimize traffic and conversion rates. Focusing on personalization, you will work with CX, Marketing, and Product teams to enhance the end-to-end customer journey. You will also leverage data insights and digital KPIs to provide actionable recommendations More ❯

and fellow analysts. Core areas of focus for this group include applications in measurement planning and strategy, customer segmentations, testing frameworks, measurement and optimization solutions, performance reporting and analyses, personalization, and forecasting. Responsibilities Lead data analyst for internal and external client project work Subject matter expert (SME) in source tools, platforms, and data flow Understands Razorfish data capabilities and how More ❯

UK based role - 1 day every other week in Manchester office Senior QA Engineer: A UK-based role focused on developing and maintaining automated test scripts using Playwright, executing comprehensive testing across web, mobile, and API platforms, and optimizing CI More ❯

We are working with a lovely company, who are seeking a dynamic and experienced E-commerce Manager to oversee and enhance the online performance of their websites. The successful candidate will be responsible for driving online sales, improving user experience More ❯

E-Commerce Manager Location: Hybrid – Colchester Salary: £50,000–£55,000 MUST HAVE INDUSTRIAL MACHINERY MANUFACTURING EXPERIENCE The ideal candidate is a commercially minded digital leader with strong technical and strategic skills. You’ll be responsible for driving the growth More ❯

Job Title Backend Engineer Reports to Masoud Rousta (Engineering Manager) Location/work pattern UK based role – 1 day every other week in Manchester office Salary £50000 - £60000 What we do Vypr is a Manchester HQ’d Private Equity/ More ❯

About Us We are a VC-backed startup focused on behavioural AI, currently in stealth. We are building for retail with a focus on Recommendation Systems, Reinforcement Learning and Generative AI. Our platform is designed from the ground up — no More ❯

Senior Engineer - £90-105k - 1 day in London 🚀Tech: TypeScript, Node, AWS (Looking for Full Stack or Back End leaning candidates) *They are agnostic to the Back End and are open to speaking with Java, Golang or Python Engineers More ❯