1,476 to 1,500 of 2,167 Data Science Jobs

senior backend engineer to join the Predictive Intelligence team in Manchester. You will build scalable ML backend services powering forecasting solutions, working with data scientists and platform partners to productionize models and maintain high-availability production systems. You will design and operate MLOps pipelines, deployment workflows, and runtime infrastructure ...

delivering models to thousands of devices globally and contribute to a platform that compiles models into hardware-specific inference engines. You will work with Data Scientists, Embedded Engineers and Product Managers to enable robust, scalable deployments, automate testing on production devices, and monitor drift, latency and #J-18808-Ljbffr ...

deep ML knowledge and strong software engineering skills. The role emphasizes end-to-end AI feature delivery, model monitoring, and cross-functional collaboration with data scientists to productionise forecasting and planning #J-18808-Ljbffr ...

engineer to develop and deploy production ML solutions that power content understanding, recommendations, and personalization across our travel platform. You'll work with data scientists, engineers, product managers, and designers to translate business needs into robust AI systems. You will design end-to-end pipelines, experiment with models, ensure ...

PhysicsX is building an AI-driven simulation platform in the UK. We hire software engineers to empower Data Scientists, ML Engineers and Simulation Engineers to create, train and deploy physics-informed models. You will own your work from implementation to production, ensuring quality, scalability and observability. You will collaborate ...

Power Apps, Power Automate, Dataverse, Copilot and business process automation, we'd love to hear from you. Skills: ai engineer software engineer power platform data scientist ML Engineer ML AI Benefits: Work From Home ...

Power Apps, Power Automate, Dataverse, Copilot and business process automation, we'd love to hear from you. Skills: ai engineer software engineer power platform data scientist ML Engineer ML AI Benefits: Work From Home ...

that prioritizes using the best model from todays top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role We are looking ...

that prioritizes using the best model from todays top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role We are looking ...

Sales & Marketing at Omnipresent, ex-Entrepreneur First founder. Leads Jill acquisition. Tom Robinson , Currently leading all B2C and B2B marketing. Specialist across Growth, Data & Product Ex-VP Global Marketing at Deliveroo, where he spent 7 years building and leading a 100+ person function across data science, analytics ...

Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity … Applied Innovation (of AI) Engineering team, you will design, develop, deploy, and maintain advanced AI products. You\'ll collaborate with software engineers, data engineers, and data scientists to deliver trusted solutions. Your role is central to executing long-term projects that drive innovation and support our business growth. ...

backend services that power the Syrup platform and Anaplan’s forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a backend engineer, you will build … while growing your craft alongside experienced engineers. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners. Your Impact Build and maintain backend services, APIs, and data processing components across the Predictive Intelligence stack. Contribute ...

Telefónica Tech UK&I is seeking a professional to design and deliver AI, data science, and analytics solutions on the Microsoft Azure stack. You will guide technical direction, support colleagues, and engage with client stakeholders on projects spanning AI and data platforms. This client-facing role requires ...

important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle from ideation through to production, working … closely with engineers, data scientists and product managers across the business to grow the understanding and impact of machine learning and AI throughout Trainline. As a Senior Machine Learning Engineer, you will bring deep technical expertise and sound judgement to some of our most complex problems, and will play ...

oversee the end-to-end AI platform architecture powering telecom services across its networks. You will bridge technical excellence with business value, shaping data pipelines, model development, and deployment frameworks on Prem and cloud platforms. You will define architectural standards, ensure scalable, secure integrations with core infrastructure, and guide … engineering, data science and product teams to deliver measurable business #J-18808-Ljbffr ...

balance. That’s waiting for you at Sainsbury’s. Think about the scale it takes for us to feed the nation. The level of data, transactions and variety it involves. Then you’ll realise that ours is a modern software engineering environment because it has to be. … applications across the organisation. Working as part of a platform engineering team, you'll build reusable capabilities that make it easier for product teams, data scientists and engineers to deliver value while meeting our standards for security, reliability, governance and cost efficiency. Our platforms include: Shared patterns and tooling ...

will own growth initiatives from sign-up to onboarding, shaping the funnel and activation experience to drive top-of-funnel momentum. You will lead data-driven experimentation across engineering, design, data science and marketing, inspiring teams to deliver customer-centric outcomes at scale and accelerate growth ...

helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. Overview Energy and Commodities … organisations creating real competitive advantage today are not simply the ones with the best trading systems. They are the ones building the data ecosystems, user experiences and intelligent decision-support capabilities around them. As the industry accelerates towards AI-enabled operations and increasingly data-driven trading models ...

Company They are a well-established consumer goods business with a strong international presence and a growing investment in AI and advanced analytics. Data and technology are central to their strategy, with multiple initiatives focused on automation, personalisation, and operational efficiency. You will work within a collaborative environment where … models for a range of business use cases. Develop scalable AI solutions that support customer, marketing, supply chain, and commercial functions. Work closely with data scientists, data engineers, and business stakeholders to translate requirements into production-ready solutions. Implement MLOps best practices to support model deployment, monitoring ...

planning and strategic trade decisions. Increase marketing profitability by continuously optimising campaigns, media buying, and targeting strategies using A/B testing, econometrics, and data modelling. Lead upper-funnel strategies (Awareness and consideration) to fuel the customer pipeline and align with brand and CRM initiatives. Deeply understand the digital … customer, segment behaviours, needs, value, and lifetime potential to inform media targeting and creative strategies. Work in partnership with the analytics and data science teams to improve multi-touch attribution, footfall measurement, and performance insights across all channels. Collaborate with the wider marketing team including Brand, CRM, eCommerce ...

Have you had a career break of 12+ months? Do you have 5+ years of commercial experience, including hands-on experience in Data, Analytics, or related technology roles? Are you ready to re-join the workforce with structured training, support and career coaching included? Then you’ll want … hear about the UK’s leading Returners Programme and the opportunities to join our Data & Analytics Practice . Our Returners Programme is specifically designed to support professionals returning to work after a career break. Having restarted over 550 careers since 2016, our Returners Team are here to support ...

hackajob is partnering directly with Kainos to hire for this role. Join Kainos and Shape the Future At Kainos, were problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether ...

help shape the next generation of a major consumer health app, backed by a well-known, well-resourced healthcare provider. Same scale and data complexity you'd find at a Tesco or an ASOS, except every decision you make has a real human on the other end of it. … What You'll Do Own and shape the product roadmap for AI-driven features within a large-scale consumer health app, working closely with data science, engineering and clinical stakeholders. Translate large, sensitive, multi-source datasets (genetic, clinical, behavioural, lifestyle) into product experiences that are predictive and personalised ...

make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts … identify whether blockers are product, platform, integration, execution, or change-management related. Technical fluency to direct delivery. You can engage credibly with engineering and data science teams, understand modern AI production patterns such as RAG, evals, agents, tool use, and MCP, and have recent experience building or prototyping ...

plans and creative direction that drive relevance, adoption, and sustained engagement for Robinhood. Define success metrics and track impact in partnership with product and data science teams, ensuring alignment with legal and compliance requirements. What you bring 7+ years experience in product marketing (or adjacent consumer growth/… break down complex concepts so they’re simple, clear, and human. Strong relationship-building skills and ability to lead cross-functionally through influence. Data-informed decision making, including familiarity with experimentation and performance measurement. Fluency across key marketing channels (e.g., lifecycle, performance, in-product, and social ...