globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in RecommenderSystems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Senior Data Scientist … edge applications of AI/ML and the opportunity to work with research teams on innovative solutions Evaluating and understanding large production deep learning systems composed of dozens of models Developing novel metrics that provide analytical insights to non-technical stakeholders into how well these kinds of systems … Skills MS/PhD in Computer Science, Data Science, Machine Learning, or related technical fields Familiarity with Learning to Rank models, recommendersystems, especially deep learning-based recommendersystems, computer vision models, Generative AI models Familiarity with serverless architecture, ML model hosting strategies, and more »
in this team, you will have the following responsibilities: Working on a variety of projects including segmentation, forecasting, propensity modelling and recommendersystems An opportunity to drive commercial value within a team of 7 Data Scientists, then working closely with a Data Engineering team Working end to … are confident speaking to stakeholders within a flat hierarchy - everyone has a say! REQUIREMENTS: Experience across some of propensity, forecasting and recommendersystems - with clear commercial value on the CV Confident in presenting and working with stakeholders, with excellent communication skills and business acumen A PhD or more »
Microsoft Turing. You will work as part of an organization that brings together talent in the areas of large language models, recommendersystems, machine learning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads … community as an invited speaker.Experience conducting research as part of a research program (in academic or industry settings).Experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment more »
Senior Data Scientist - Recommendation Systems London x3 days in office Xcede are delighted to be partnering with a very exciting scale-up. The company is operating on a need-to-know basis right now, so if you want to learn more about this one please get in touch! Responsibilities … Help to build the RecommenderSystem that powers the company's core platform. Help to define the company's Product strategy through creating impactful tools for customers/members. Mentor junior engineering & data science hires. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years more »
work end to end, building and deploying models.The Role:Your day-to-day responsibilities will include:Building, deploying and productionising segmentation, churn, and recommendersystem-based projects, alongside deep learning and neural networks to support core clientsPart of a team of 12 reporting to the Head of Data more »
end to end, building and deploying models. The Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommendersystem-based projects, alongside deep learning and neural networks to support core clients Part of a team of 12 reporting to the Head of more »
end to end, building and deploying models. The Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommendersystem-based projects, alongside deep learning and neural networks to support core internal projects Part of a team of 7 reporting to the Head more »
up, where data science and machine learning drive their core operations! THE ROLE Engage in diverse projects spanning segmentation, forecasting, propensity modelling, and recommender systems. Drive commercial value alongside a team of 7 Data Scientists, collaborating closely with their Data Engineering unit. Experience end-to-end project ownership … culture. We're looking for candidates comfortable interacting with stakeholders in a flat hierarchy REQUIREMENTS: Proficiency across propensity modeling, forecasting, and recommendersystems, demonstrating clear commercial impact on your CV. Confident in stakeholder engagement, possessing excellent communication skills and business acumen. Hold a PhD or MSc with more »
be working with a very exciting scale-up Tech Product organisation. With a fledgling Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps Engineer/ML Engineer to focus on machine learning infrastructure and deployment tech. … algorithms and infrastructure. This would ideally be in a digital B2C product or platform. Some experience of deploying recommendation engines/recommendersystems/RecSys Strong cloud experience – ideally AWS/Amazon Web Services. Usage of LLMs in a commercial environment is a bonus. Docker & Kubernetes experience more »
impactful models and work with cutting-edge technologies. The Role: Your day-to-day responsibilities will include: Deploying and productionising segmentation, churn, and recommendersystem-based projects, alongside deep learning and neural networks to support core clients Part of a team of 9 reporting to the Head of more »
Manchester, England, United Kingdom Hybrid / WFH Options
Cubiq Recruitment
Europe or North America) Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, RecommenderSystems, LLM's, Quantum Computing, Machine Learning, Deep Learning We are a leading recruitment agency with an established AI department that has been running for more »