10 of 10 Machine Learning Jobs in Northamptonshire

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

C++/Java/Python/R. Use of code configuration management toolsets. Knowledge of one or more of the following: Artificial Intelligence and Machine Learning methodologies and tools. Simulation tools and methods relevant to supply chain modelling. Real time data collection and processing techniques relevant to supply More ❯

role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

significant autonomy, allowing you to shape your own path and make impactful decisions with direct access to a senior leadership team who value continuous learning and will provide the freedom to explore new ideas and grow your skills. About the person: The successful candidate must have, and your application … data visualisation* Demonstrable experience in data analytics* Knowledge of systems integration including the use of automation tools such as the Power Platform* Understanding of Machine Learning and AI technologies. * * = May be demonstrated through the completion of a module, student project or placement. Applicants should indicate how their experience More ❯

role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to More ❯

Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar technology and software development practices. Knowledge in More ❯

as python or R.* Relevant experience developing business intelligence solutions using tools such as Microsoft Power BI orsimilar.* Relevant experience in predictive analytics and machine learning.* Relevant experience in data management, including data storage and integration.* *may be demonstrated through the completion of a module, student project or placement. More ❯

technical guidance and leadership. Good knowledge of integration techniques, architecture patterns and non-functional drivers. Good knowledge of data architecture (Big Data, AI/ML), data warehousing and analytics. Excellent experience in technology product selection, assessing options, impact assessment and validation of solution choice against stakeholder requirements. A software development More ❯

cost savings. Champion cloud-native solutions, such as serverless computing, containerization, and microservices. Cultivate a learning environment around emerging technologies like AI/ML, IoT, and edge computing within the cloud landscape. Cloud Automation & Tools Advocate for automation, DevOps practices, and Infrastructure as Code (IaC) to streamline cloud operations. … professionals, including architects, security experts, and engineers. Mentor and guide teams on cloud best practices, tools, and platforms. Foster an environment of accountability, continuous learning, and innovation. Vendor & Stakeholder Collaboration Work with external cloud providers (AWS, Azure, GCP) and other partners to maximize business value from cloud investments. Communicate … Expert, Google Cloud Architect). Experience in cloud-native design, serverless computing, and container orchestration (Docker, Kubernetes). Familiarity with data lakes, AI/ML infrastructure, and analytics in cloud environments. Knowledge of cloud security and compliance standards (e.g., ISO, SOC, GDPR) and cost management practices. For more information, please More ❯