13 of 13 Model Validation Jobs in West Yorkshire

data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data inputs & schemas Analytical logic Exact ...

data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data inputs & schemas Analytical logic Exact ...

data science problems grounded in business scenarios Cover the full data science lifecycle, including: Data ingestion & cleaning Exploratory analysis Feature engineering Statistical analysis & modeling Validation and interpretation Implement verified Python solutions Ensure all problems are fully deterministic and reproducible Clearly document: Business context Data inputs & schemas Analytical logic Exact ...

frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases. Apply supervised, unsupervised, and deep learning techniques … appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. 3. Data Engineering ...

frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases. Apply supervised, unsupervised, and deep learning techniques … appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. 3. Data Engineering ...

frameworks, data pipelines, and cloud platforms, and is comfortable working in a fully remote, collaborative environment within the UK. Key Responsibilities 1. Machine Learning Model Development Design, develop, train, and evaluate machine learning models for prediction, classification, recommendation, or automation use cases. Apply supervised, unsupervised, and deep learning techniques … appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. 3. Data Engineering ...

already at £100k ARR, growing month-on-month and have investment from angels. We have a product customers love, a validated business model, and we are now preparing to expand to Airbnb and Expedia. We are a lean team of two founders looking for a Founding Engineer. You will ...

looking for an enthusiastic and results-driven individual to join our team as a dedicated Labour Model Data Analyst. This role is focused specifically on the design, development, maintenance, and rigorous analysis of our core Labour Models (Labour Standards) across our entire retail network, covering Convenience, Supermarkets and Logistics. … accuracy of the core labour models. As the specialist in Labour Planning, you will take ownership for the successful, smooth, and rapid development and validation of our Labour Models. You'll be responsible for: Labour Model Design and Validation: Designing, building, and maintaining sophisticated, data-driven Productive ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement … processes. Optimize inference performance and cost (e.g., model compression, quantization, API optimization). Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (Pinecone, Weaviate, FAISS ...

Translating business needs into specific requirements including UI design; Data models; Business procedural changes and Interface designs Ensure thorough use of the Requirements Engineering model including elicitation, analysis, validation, documentation and traceability of requirements Use the appropriate elicitation techniques such as interviewing stakeholders, facilitating workshops, conducting surveys ...

🚀 Sales Wizards? I need you!!! G.Digital | G&T (girls and tech!) are super excited to have partnered with a leading Saas business who are looking for their next sales legend. They have ambitious plans for ...