1 to 25 of 28 Permanent Recommender Systems Jobs in London

Applied AI Scientist (Recommender Systems) Algo1: London Area, United Kingdom Hybrid: Minimum of 3 days per week in Central London office About the job We are a VC-backed startup focused on behavioural AI, currently in stealth mode. We are building for retail with a focus on … Recommendation Systems, Reinforcement Learning and GenAI. We are looking for an Applied AI Scientist with deep experience in advanced Recommender Systems to work with our team of industry leading domain experts and engineers. Areas of focus: Develop and implement: Design and implement scalable Recommender Systems. Solution development: Translate latest Recommender Systems advances into impactful solutions and products, from MVPs to fully deployed systems. Performance optimisation: Optimise machine learning models for performance in modern environments (e.g., distributed clusters, GPUs). Requirements: Hands on experience: Implemented Recommender System solutions More ❯

Applied AI Scientist (Recommender Systems) Algo1: London Area, United Kingdom Hybrid: Minimum of 3 days per week in Central London office About the job We are a VC-backed startup focused on behavioural AI, currently in stealth mode. We are building for retail with a focus on … Recommendation Systems, Reinforcement Learning and GenAI. We are looking for an Applied AI Scientist with deep experience in advanced Recommender Systems to work with our team of industry leading domain experts and engineers. Areas of focus: Develop and implement: Design and implement scalable Recommender Systems. Solution development: Translate latest Recommender Systems advances into impactful solutions and products, from MVPs to fully deployed systems. Performance optimisation: Optimise machine learning models for performance in modern environments (e.g., distributed clusters, GPUs). Requirements: Hands on experience: Implemented Recommender System solutions More ❯

the forefront of technological advancements. We are hiring for a Senior Data Scientist role with a focus on generative AI and recommender systems for a pioneering businesses in online search comparison. This is your chance to work on cutting-edge projects, collaborate with brilliant minds, and see … of a team that's building a new online experience to inspire users with new ideas, leveraging technologies like GenAI and recommender systems to optimize content and create a leading platform in their field. Technical Requirements: Interest in Generative AI and Recommender Systems : Proven … experience in developing and implementing recommender system solutions and you'll be exploring Generative AI offerings. This includes Image and Video Content. You'll ideally have experience applying GenAI technology in a commercial context. Strong Programming Skills : Proficiency in Python and SQL. Hands-on Experience with LLMs : Practical More ❯

to lead the ML efforts around improving personalization models, leading efforts across 10+ MLEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems, and act as … a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? Design and help develop … systems that serve recommendations to over 300 million users Drive ML roadmap creation and execution, specifically around feed ranking and recall oriented candidate generation systems Provide technical guidance in ML model formulation, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction More ❯

of experts. As part of this expansion, the company is looking to onboard a Senior Data Scientist with strong commercial experience in building Recommender Systems. Experience in designing and deploying Graph Models or Graph Neural Networks would be a significant advantage. Responsibilities Work with senior colleagues and internal … science techniques and add business value. Build relevant statistical/machine learning models-related projects. Build RecSys/Recommendation Engines/Recommender Systems/Recommendation Systems Communicate findings effectively to stakeholders to encourage adoption. Requirements A STEM/Computer Science degree (ideally MSc and above but More ❯

monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental … teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well … experiment with new methodologies to enhance the user experience. Key skills: Senior Data Scientist experience Commercial experience in Generative AI and recommender systems Strong Python and SQL experience Spark/Apache Airflow LLM experience MLOps experience AWS Additional information: This role offers a strong salary of up More ❯

monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental … teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well … experiment with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up More ❯

monitoring, and scaling of solutions in live production environments. The role: You will be utilising advanced technologies such as GenAI and recommender systems with the goal to enhance this content and build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental … teams to ensure the smooth deployment, monitoring, and scaling of solutions in production environments. You will develop and implement advanced Generative AI and recommender system solutions to improve travel content and user experiences. This includes researching LLMs, multimodal models, and content-based filtering to personalise recommendations. As well … experiment with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS Additional information: This role offers a strong salary of up More ❯

one of the senior-most individual contributors in machine learning, with opportunities to lead and contribute to multiple high-impact areas such as: Recommendation Systems : Deliver a world-class personalized user experience by driving innovations in feed ranking and content recommendation. Trust & Safety : Safeguard the platform using advanced multi … Who you are: Hands-on Expertise: Proven experience training, fine-tuning, and deploying large-scale machine learning models using TensorFlow, PyTorch, or similar frameworks. Systems Thinking: Deep experience in designing, managing, and productionizing ML pipelines, handling end-to-end machine learning systems, including data engineering, model training, and … real-time inference. Domain Mastery: Specialization in large-scale (100M+ users) content recommendation systems, feed ranking, behavior modeling and network analysis in trust & safety. Demonstrated ability to balance competing metrics, such as maximizing advertiser ROI while maintaining high user engagement. Skilled in multi-objective optimization and AB testing frameworks. More ❯

Scientists, two Data Scientists, a Machine Learning Engineer and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine … business value articulation Researching and developing cutting-edge models and techniques to tackle complex business challenges Establishing and implementing best practices across data science systems and services Providing technical leadership and mentorship to junior team members, facilitating their growth and development Proactively identifying and implementing improvements to team processes … beyond your immediate team Participating in project prioritisation and strategic planning for the data science function Implementing comprehensive monitoring solutions and designing fault-tolerant systems Your skillset: We're seeking an exceptional technical leader who can drive innovation while maintaining production excellence. The following qualities are essential: Technical Excellence More ❯

including two Senior Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine … and outcomes. Your day-to-day: Researching and developing new models and techniques to tackle key business challenges Overseeing the production and maintenance of systems Conducting code reviews and collaborating on various projects across teams Providing mentorship and coaching, facilitating career growth within the team Engaging in project rotation … model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members More ❯

including two Senior Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine … and outcomes. Your day-to-day: Researching and developing new models and techniques to tackle key business challenges Overseeing the production and maintenance of systems Conducting code reviews and collaborating on various projects across teams Providing mentorship and coaching, facilitating career growth within the team Engaging in project rotation … model management and experiment tracking Desirable Experience with Deep Learning, Generative AI and Reinforcement Learning Experience with Time Series Forecasting and Recommender Systems Previous experience working in e-commerce, retail, or the travel industry. Conducted and analysed large scale A/B experiments Experience mentoring team members More ❯

on enhancing the Spotify experience by researching, developing, and integrating state-of-the-art generative AI technologies into our search and recommender systems, and unlock new interactive experiences. You will be part of an interdisciplinary team focusing on ensuring that the foundations of Spotify technologies are at … Learning What You'll Do Participate in groundbreaking research in artificial intelligence with a focus on large-scale generative applications to search and recommendation systems Apply your scientific knowledge to analyze and collect data, identify problems, construct methodologies, including metrics and standard processes, conduct experiments, and devise scalable solutions … workshops, giving talks, and being an active community member at top conferences Who You Are You have a PhD in either information retrieval, intelligent systems, machine learning, computer science, or related areas You have expertise in domains such as language technologies, generative AI technologies, information retrieval, and recommender More ❯

Scientist whose main responsibilities are to research, develop and evaluate algorithms in order to build software tools for researchers. You will contribute to building systems that help researchers to organise their research, contextualise it with respect to other research, collaborate with one another, and discover new research. Responsibilities: Research … production environments. What you'll be doing: Identify, obtain and prepare data sets for training and testing algorithms. Research, develop and evaluate algorithms for systems such as recommender and information extraction systems. Build proof of concept prototypes demonstrating these algorithms in action. Evaluate algorithms through controlled offline … with large graph/network data sets, with rich textual content. Experience of Java programming; can independently prototype solutions to problems. Experience with Recommender System, NLP and Machine Learning libraries. Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required. Unix skills. More ❯

new AI technologies that will shape the future of shopping experiences. You will play a critical role in driving the development of multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graph, to be tailored to customer needs. … help customers throughout their shopping journeys. - Use deep learning, ML and MLLM techniques to create scalable language model centric solutions for building shopping assistant systems based on a rich set of structured and unstructured contextual signals. - Innovate new methods for understanding, extracting, retrieving and summarising contextual information that allows 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯