9 of 9 Contract Machine Learning Jobs in Berkshire

models using ERStudio Integration & Messaging Implement message-oriented data movement and ensure robust API design and access for data services Data Analytics & AI/ML Utilize AzureML for advanced analytics and machine learning workflows Explore Generative AI and Agentic AI for innovative data solutions Data Virtualization & Streaming Enable … Development Build and optimize workflows using Matillion, Alteryx, and Qlik Visualization & Reporting Develop dashboards and reports using Power BI Innovation Drive adoption of Machine Learning, Generative AI, and Agentic AI in enterprise data strategies Required Skills & Qualifications Strong experience with data platforms (Fabric, Snowflake, Databricks, MongoDB, RDBMS) Hands ...

governance and performance requirements Contribute to best practice around AI engineering, MLOps and deployment patterns Required Experience Proven experience as an AI Engineer/ML Engineer delivering AI into production Strong Python development skills Hands-on experience with LLMs (commercial and/or open-source) Experience building APIs and services ...

understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration. Familiarity with AI/ML applications in geospatial data quality and analytics. Agile delivery experience and ability to lead cross-functional teams. Desirable Skills/Knowledge/Experience Ensuring ...

operational considerations: performance tuning, capacity planning, availability, disaster recovery, security compliance. Stay up to date with new ServiceNow features, modules, trends (e.g., AI/ML, data fabric, Now Assist), assess applicability, and recommend adoption where relevant Required Qualifications & Skills Experience : Typically 10+ years of relevant experience in IT, of which ...

years + experience in corporate or agency environment with a B2B technical and consulting content portfolio, writing on key focus areas such as AI, ML, sustainability, net-zero, digital-twin across industry verticals Agency disciplines of time and client management Agile cross team processes working on multiple projects and quality ...

Finance & Operations Lead Rate Negotiable DoE Remote Initial Contract to Perm Your New Role Our client is a revolutionary AI/ML organisation who are at a rapid growth stage. To facilitate their growth, they are looking for a Finance & Operations Lead to manage their financial operations and provide broad ...

operational models. Key Responsibilities Lead design of solutions leveraging Intelligent Automation Platforms (RPA, low-code/no-code automation, event-driven automation, AI/ML driven automation). Define architecture patterns for AI-enabled communications, including NLP, GenAI, intelligent routing, and automated decisioning models. Ensure alignment with telecom standards … Strong hands-on understanding of Intelligent Automation Platforms (e.g., Pega, UiPath, ServiceNow Automation, Automation Anywhere, Camunda, or similar). Proven experience in AI/ML, data modeling, data lakes, event streaming, and analytics (e.g., Kafka, Spark, Python ML stack). Deep exposure to telecom protocols and domains Experience with cloud ...

Senior Software Engineer (or equivalent) on complex software projects. Strong hands-on experience with AWS services, particularly Amazon Lex and other AI/ML services. Advanced proficiency in TypeScript and modern JavaScript development. Solid understanding of DevOps methodologies and tooling, including CI/CD, serverless technologies, and monitoring solutions. Experience … with the ability to work autonomously in a contract environment. Excellent verbal and written communication skills. Desirable Experience Experience with additional AWS AI/ML services. Familiarity with serverless architectures and microservices-based systems. Knowledge of cloud security best practices. Experience working in agile delivery environments. Modis International Ltd acts ...

Data Governance & Quality Establish data stewardship processes and governance frameworks Implement metadata standards, symbology conventions, and data validation mechanisms Leverage automation and AI/ML for data quality improvement 5. Geospatial Analytics & Modelling Enable spatial analytics, economic modelling, and visualization tools Support decision-making and public engagement through intuitive dashboards … Strong understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer) Experience with legacy GIS systems (Intergraph, Smallworld) and data migration Familiarity with AI/ML applications in geospatial data quality and analytics Agile delivery experience and ability to lead cross-functional teams ...