10 of 10 Part-Time Recommender Systems Jobs in the UK

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 ❯

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 ❯

Senior AI Engineer (Data/Python) you will take full ownership of their AI and Data strategy, leading on everything from recommender systems and NLP to complex data ingestion and 3rd party integration – no legacy systems, full autonomy. You will work directly with the Tech Director … platform but the future of AI within the business, with a clear path to leadership and team building. Stack Python, Kafka, Recommender Systems, LLMs, Semantic Search, 3rd Party Data Integration What do you need? Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG) Strong experience with More ❯

will create high value insights for AI engineers. These will involve providing assessments for several technologies that involve Large Language Models, including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on 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 are expecting technical experience in some of these areas: LLM's, RAG Delivering applied Machine Learning projects Time Series Modelling Recommender systems & models This is an opportunity to build real world AI tools that will be put in the hands of B2B end users, and create More ❯

Product Manage r to drive the next generation of their digital product suite which covers AI led products - LLM, Agentic AI, recommender systems and more. This is a pivotal role working directly with senior leadership to shape product vision and deliver impactful solutions across a portfolio of More ❯