Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth … we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Job Description We're working on a next generation data analysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the world's transition to a more sustainable tomorrow. We're looking for a Data … within our AI group and focus on the research, development and delivery of AI solutions across our product suite. You'll collaborate closely with a cross-functional team of data scientists, engineers, and product managers to help deliver our product roadmap. You'll apply advanced AI techniques and ensure high standards of data quality and integrity in our More ❯
From reviews to user behaviours to internal systems, at Trustpilot we truly have big data. And, in our Applied AI team, we are leveraging AI and ML to transform data into value, drive product innovation, improve user experience, enrich Trustpilot's data ecosystem and enhance business growth. We are seeking a DataScience Manager to join … our Applied AI team, to help us in our mission. We are seeking a candidate with a proven track record in managing and developing a team of Data Scientists specializing in Applied AI, across junior, mid-level, and senior roles. The ideal candidate will also possess hands-on experience throughout the entire ML modeling lifecycle, from initial concept to … production deployment. You will collaborate with cross-functional teams in product management, UX, data analytics, and engineering across various product contexts. This role involves managing the delivery and maintenance of highly impactful, innovative AI/ML solutions at scale. To effectively fulfil this role, you will have an extensive technical background and several years of experience as a DataMore ❯
Hermiston, Midlothian, United Kingdom Hybrid / WFH Options
Exposed Solutions
into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they re scaling globally and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data … evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the datascience team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring … scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in datascience/ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Exposed Solutions
into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data … evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the datascience team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. · Architect and productionise end-to-end ML pipelines on Azure, while ensuring … scalability, reproducibility, and monitoring of deployed models. Requirements · 6+ years in datascience/ML, with at least 2 years in a technical lead role. · Deep experience in training and deploying computer vision models into production · Proven track record with LLM fine-tuning, prompt engineering and productionisation · Deep experience in MLOps on Azure, including CI/CD, monitoring More ❯
Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯
Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯
Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯
Newbridge, Midlothian, United Kingdom Hybrid / WFH Options
OurclientisbuildingthemostadvancedAIplatformintheirmarket.Theyhelptheirclientsservecustomerswithunmatchedspeedandaccuracy. TheyveinvestedheavilyintobuildingtheMLstack,partneredwithleadinguniversities,andtrainedmodelsonmillionsofexpert-taggedimages.Now,theyrescalinggloballyandneedaworld-classLeadDataScientisttohelppushtheboundariesofcomputervision,videoanalysis,andmultimodalLLMswhilesolvingreal-worl... More ❯
for Scotland's digital sector, is pleased to launch a new in-person weekly community for technology startup founders. Proudly supported by theBayes Centre, University of Edinburgh, ahub for data-science and AIthat knows the power of fostering innovation, the 'Founders Hub' will consist of a co-working community hosted at the Centre, where ScotlandIS early-stage and More ❯
