101 to 121 of 121 Recommender Systems Jobs in England

About the role Sahaj Software are looking for a Lead Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. You should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialisation in one or more of … deep learning approaches, transformers, attention models, text summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc. OR Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical 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 Recommender System 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 ❯

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 Recommender System 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 ❯

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 Recommender System 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 ❯

Data Science, and they are continuing to expand their team with the hire of another Principal Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. …/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. Strong Model Deployment & software engineering skills to contribute to Machine Learning Engineering tasks. If this role More ❯

Data Science, and they are continuing to expand their team with the hire of another Principal Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. …/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. Strong Model Deployment & software engineering skills to contribute to Machine Learning Engineering tasks. If this role More ❯

Data Science, and they are continuing to expand their team with the hire of another Principal Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. …/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. Strong Model Deployment & software engineering skills to contribute to Machine Learning Engineering tasks. If this role More ❯

Data Science, and they are continuing to expand their team with the hire of another Principal Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. …/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. Strong Model Deployment & software engineering skills to contribute to Machine Learning Engineering tasks. If this role 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 Recommender System 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 ❯

we’re looking for Master’s degree in Computer Science, Software Engineering, or related field; or equivalent practical experience. 5+ years building production backend systems (Python preferred). Proven track record shipping ML, search, or recommender systems at scale. Deep understanding of vector similarity search, embeddings More ❯

we’re looking for Master’s degree in Computer Science, Software Engineering, or related field; or equivalent practical experience. 5+ years building production backend systems (Python preferred). Proven track record shipping ML, search, or recommender systems at scale. Deep understanding of vector similarity search, embeddings More ❯

we’re looking for Master’s degree in Computer Science, Software Engineering, or related field; or equivalent practical experience. 5+ years building production backend systems (Python preferred). Proven track record shipping ML, search, or recommender systems at scale. Deep understanding of vector similarity search, embeddings More ❯

build an increasingly dynamic and interactive experience! The Machine Learning Engineers within the platform engineering group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems. We are looking for someone who can build … as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations. Work with a broad spectrum of state-of-the-art machine … and ideally also unstructured data. Industry work experience in designing and implementing large-scale machine learning-based solutions that ideally include: recommender systems, personalization, and A/B testing. Strong machine learning and statistical knowledge. Preferred Qualifications: Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlib. More ❯

mining, knowledge discovery, and information retrieval (NLP & Semantic Analysis); strong background in Math, Statistics, and Engineering concepts; experience with Graph Analysis, Recommender Systems (Collaborative Filtering), and probabilistic algorithms; staff supervisory or management experience. Educational level: Master Degree Level of experience (years): Mid Career (2+ years of experience More ❯

machine learning models into production; familiarity with Docker containers and container orchestration tools is a plus Nice to have Experience with recommender systems, personalisation, or ad optimisation What do you get for all your hard work? A competitive compensation package (base + equity) with bi-annual reviews More ❯

machine learning models into production; familiarity with Docker containers and container orchestration tools is a plus. Nice to have Experience with recommender systems, personalisation, or ad optimisation. What do you get for all your hard work? A competitive compensation package (base + equity) with bi-annual reviews More ❯

growth and campaign effectiveness. Assist in building predictive models to guide strategic decisions on acquisition and engagement, encompassing time series, predictive analytics, and recommender systems. Analyze data to derive actionable insights that drive business decisions and performance improvements. Automate repetitive tasks and data processes to enhance team efficiency. More ❯

developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search More ❯

developing standardized, efficient ML solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search More ❯

with a focus on data structures and algorithms Minimum of 5 years of experience building and architecting large-scale, production-quality Machine Learning (ML) systems At least 5 years of experience in distributed development and large-scale data processing Proficiency in coding with C++ or Python Solid understanding of … adoption across Google by developing efficient solutions in areas like parameter tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization manages the hardware, software, ML, and infrastructure for all Google services and Google Cloud, prioritizing security, efficiency, and reliability to More ❯

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 experience through researching and developing ML technologies … at conferences or journals such as NeurIPS, ICML, ICLR, KDD or related. A solid understanding of machine learning and past research experience on recommender systems. Solid hands-on skills in implementing advanced ML algorithms, as well as sourcing, cleaning, analyzing and modeling of large-scale real data. You More ❯