8 of 8 Permanent Recommender Systems Jobs in England

just getting started. Role OverviewJoin Tripledot Studios as a Senior Machine Learning Engineer working on dynamic pricing and recommender systems use cases in our games. The work involves tabular machine learning, including neural networks and approaches such as gradient-boosted decision trees. You'll focus on understanding … ability to explain model results to monetization and product partners in terms of revenue and player outcomes. Experience in ad tech, recommender systems or online marketplaces would be useful, as would experience with production APIs or deploying ML models. Experience with the Ray framework would also ...

technical and non technical stakeholdersGenAI workYou will work with GenAI in ways that are grounded in real use cases and business value: Building RAG systems that improve search, content discovery or productivity rather than existing for their own sakeImplementing guardrails so models do not leak PII or generate harmful … interpreting metricsExperience with PyTorch or TensorFlowGenAI specificHands on experience with LLM APIs or open source models such as Llama or MistralExperience building RAG systems with vector databases such as FAISS, Pinecone or WeaviateAbility to evaluate and improve prompts and retrieval quality using clear metricsUnderstanding of safety practices such ...

high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines ...

high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems).Explore, cleanse, and transform large structured and unstructured datasetsConduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate ...

GenAI, LLM fine-tuning, golden dataset construction, evaluation metric definition, multimodal retrieval, embeddings, quantization, or LLM decoder architecture optimization. Experience with recommender systems or reinforcement learning. Accommodation requestsExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment ...

transaction datasets. Extensive Databricks experience including workflows, Delta tables, model registries and production scoring. Experience with causal inference, uplift modelling, recommender systems or optimisation modelling. Strong understanding of MLOps, model monitoring and production deployment best practices. Experience using G it and Azure DevOps within controlled development environments. ...

order, for a given customer search. This is not a generic Data Science role. Previous experience with search ranking/sort order/recommendation systems is essential. The role will involve: Improving the search order/ranking logic used to surface properties to customers Building and refining recommendation … stakeholders Essential experience: Hands-on experience with search ranking/search order/sort order Hands-on experience with recommendation/recommender systems Strong Python and SQL Snowflake AWS Strong A/B testing/experimentation Experience measuring ranking or recommendation changes against commercial KPIs Strong hands ...

capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create … series analysis, and recommender systems. As an experienced AI Researcher, you will help address the unique challenges that arise in machine learning systems within the financial domain. Join us in redefining the boundaries of what's possible in the intersection of quantitative research and artificial intelligence! Your ...