76 to 100 of 102 Model Validation Jobs in the UK excluding London

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 ...

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 ...

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 ...

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 ...

marketing and commercial teams. Own the complete development lifecycle for your machine learning models, from data gathering, feature engineering, and POC to model training, validation, and production deployment. Partner with our Machine Learning and Software Engineering teams to deploy your models as scalable, reliable, and robust services using … Docker and Kubernetes. Clearly document and communicate complex findings, model results, and actionable insights to both technical and non-technical stakeholders. Keep up to date with the latest research and developments in data science, machine learning, and MLops, and champion new approaches within the team. Required Skills and Experience ...

materials scientists, identifying meaningful features and translating complex datasets into impactful insights. You will also help advance our internal ML platforms to support model adoption and scale. In this role, you will: Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring. Use tools … such as Airflow for workflow orchestration and MLflow for experiment tracking, model registry, and lifecycle management. Work within an agile development environment and help prioritise high-value opportunities for rapid delivery. Essential Skills Bachelors degree (2:1 or above) in a STEM field Strong Python development skills Hands ...

Extract, Transform, Load) processes. Database Knowledge: Hands-On Proficiency in SQL, relational databases (Oracle, SQL Server, DB2), and data modeling. Data Quality & Validation: Skills in data validation, cleansing, and reconciliation. Data Architecture & Design : Experience with Data Transformation programs, creating and managing the data architecture roadmaps and designing … requirements and validate mapping logic. Design and execute data migration and ETL processes, ensuring data quality, consistency, and compliance with regulatory standards. Perform data validation, reconciliation, and troubleshooting to resolve discrepancies during conversion. Support testing activities, including unit, system integration, and user acceptance testing, by providing test data ...

Extract, Transform, Load) processes. Database Knowledge: Hands-On Proficiency in SQL, relational databases (Oracle, SQL Server, DB2), and data modeling. Data Quality & Validation: Skills in data validation, cleansing, and reconciliation. Data Architecture & Design : Experience with Data Transformation programs, creating and managing the data architecture roadmaps and designing … requirements and validate mapping logic. Design and execute data migration and ETL processes, ensuring data quality, consistency, and compliance with regulatory standards. Perform data validation, reconciliation, and troubleshooting to resolve discrepancies during conversion. Support testing activities, including unit, system integration, and user acceptance testing, by providing test data ...

inner workings of LLMs and VLMs, the ability to gut them and work with them past just surface-level functionality. Experience with the full model development lifecycle, from data preprocessing and feature engineering to model validation. Degree in Computer Science, Machine Learning, Computational Chemistry, or equivalent industry experience. … Nice To Haves Prior experience in computational chemistry, bioinformatics, or cheminformatics. Experience with MLOps tools and practices for model serving and monitoring. Knowledge of tools like RDKit or other chemistry specific data toolkits. Familiarity with containerisation of services (Docker/Kubernetes). Publications in relevant ML or scientific journals. ...

Extract, Transform, Load) processes. Database Knowledge: Hands-On Proficiency in SQL, relational databases (Oracle, SQL Server, DB2), and data modeling. Data Quality & Validation: Skills in data validation, cleansing, and reconciliation. Data Architecture & Design : Experience with Data Transformation programs, creating and managing the data architecture roadmaps and designing ...

validate business requirements through stakeholder engagement, creating clear process flows and user stories. Define and support data migration strategies, including data mapping and integrity validation across all phases. Oversee migration and integration activities, ensuring seamless transitions between legacy and target platforms under governance frameworks. Collaborate with cross-functional teams … into clear, actionable requirements Strong analytical and problem-solving abilities, with a focus on risk and delivery assurance Desirable: Understanding of data models and validation activities; familiarity with system integration projects Professional certifications (BCS Business Analysis, IIBA, or similar) About DigX DigX specialises in IT transformation for complex enterprise ...

will focus on architecting and delivering advanced semantic web solutions that support high-value, data-driven programmes. You will lead the design, modelling, and validation of complex linked data ecosystems, and shape the standards, tooling, and best practices used across the wider engineering team. This position is ideal … technical stakeholders through linked data concepts. Key Responsibilities Design and maintain semantic data models and ontologies aligned with W3C standards. Develop SHACL-based validation frameworks and automated testing approaches. Create DCAT3-compliant metadata services and build/extend SKOS vocabularies. Implement and optimise Triple Pattern Fragments for high-performance ...

will focus on architecting and delivering advanced semantic web solutions that support high-value, data-driven programmes. You will lead the design, modelling, and validation of complex linked data ecosystems, and shape the standards, tooling, and best practices used across the wider engineering team. This position is ideal … technical stakeholders through linked data concepts. Key Responsibilities Design and maintain semantic data models and ontologies aligned with W3C standards. Develop SHACL-based validation frameworks and automated testing approaches. Create DCAT3-compliant metadata services and build/extend SKOS vocabularies. Implement and optimise Triple Pattern Fragments for high-performance ...

perception, and high-level planning. Configure and extend robotic middleware and interfaces (e.g., ROS 2 or similar) Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs. Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence. … frameworks, navigation, or multi-sensor integration. Familiarity with real-time communication protocols (EtherCAT, CAN, Modbus) or PLCs. Strong Mechatronics understanding Exposure to simulation and validation tools for robotic systems. Knowledge of Machine Learning principles for perception or control. Offices and Lab located in Oxford. Hybrid working c.3 days ...

perception, and high-level planning. Configure and extend robotic middleware and interfaces (e.g., ROS 2 or similar) Contribute to and leverage simulation, modelling, and validation of robotic systems in virtual environments (e.g., Nvidia Isaac, Gazebo) and physical labs. Collaborate with cross-disciplinary teams to combine software, hardware, and intelligence. … frameworks, navigation, or multi-sensor integration. Familiarity with real-time communication protocols (EtherCAT, CAN, Modbus) or PLCs. Strong Mechatronics understanding Exposure to simulation and validation tools for robotic systems. Knowledge of Machine Learning principles for perception or control. Offices and Lab located in Oxford. Hybrid working c.3 days ...

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 ...

designs, evaluates and enhances models that directly influence how execution strategies behave across global markets. This role suits someone who enjoys combining quant research, model development, and hands-on coding , with responsibilities spanning performance analysis, model refinement, and implementation of strategy logic. What you'll be working … within a Java-based algorithmic framework Conducting Python-based research, prototyping, and backtesting Collaborating closely with global quant and engineering teams (including Asia) Explaining model behaviour and insights to internal stakeholders and clients What we're looking for 3-5+ years in a relevant quant developer/algo ...

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