51 to 62 of 62 Machine Learning Jobs in the Thames Valley

Your new company This organisation is a long-established leader in smart mobility and intelligent transport solutions, with decades of innovation in traffic data, road safety, and network optimisation. It designs and delivers advanced technologies ...

recruiting an excellent opportunity for someone who wants to combine an interest in advanced manufacturing with top notch data modelling and machine learning skills. Our client is seeking an intelligent Data Modelling Engineer to develop statistical models for predicting variation in Additive Manufacturing, working closely with process, materials ...

with operational teams A background in facilities, infrastructure, or engineering environments Coding experience for bulk data uploads is highly desirable Knowledge of AI or machine learning is a bonus Package £41,000-£50,000 per annum Car allowance or Car (£4300) Travel Expenses (mileage) 26 Days Annual Leave ...

cloud networks. The role focuses on enhancing real time observability, proactive detection, anomaly identification, event correlation, RCA, and predictive insights using AI/ML techniques, while ensuring seamless integration with assurance, NOC/SOC workflows, and cross domain OSS systems. The ideal candidate brings deep knowledge of fault/performance ...

industry engagement. What theyre looking for: 8+ years experience in B2B SaaS or software sales, ideally in data management, enterprise search, or AI/ML domains Proven experience selling complex software or AI-driven solutions into mid-market and enterprise organisations. Comfort operating with senior stakeholders across IT, data, compliance ...

Our client is a pioneering technology company delivering laser communications and temporospatial software-defined networking platforms to the aerospace and space industry. Leveraging technology originally developed at a major global tech firm, they are leading ...

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 ...

requirements Act as technical lead, translating business and end-user needs into robust, deployable solutions Lead development of core digital products covering process planning, machine control, and data platforms Drive scalable, modular, and industrial-grade software architecture across desktop, real-time, and cloud systems Remain hands-on with … architecture, code reviews, and resolution of critical technical issues Lead adoption of advanced digital capabilities including digital twins, data-driven qualification, and AI/ML Establish best practices for software quality, DevOps, CI/CD, and cloud deployment Lead, mentor, and grow a multidisciplinary software and controls team Skills & Experience ...

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 ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Reading (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

Collaborate with architecture and engineering teams to design automation workflows and integration points. Support initiatives like zero-touch automation, leveraging Data and AI/ML-driven operations for predictive and proactive network management. Document use cases, process flows, and integration requirements for automation platforms. Act as a subject matter expert … automation, transport network automation, and end-to-end service orchestration. Familiarity with service assurance frameworks and zero-touch automation principles. Understanding of AI/ML-driven operations and data analytics in telecom environments. Ability to translate complex business needs into actionable technical requirements. Excellent documentation, stakeholder management, and communication skills. ...

.NET Developer, .NET 10.0 - Social Networking Site - Newbury (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...