9 of 9 Machine Learning Jobs in Essex

with vacuum chamber sub-systems, and perform self-diagnostics. Design, implement, and maintain robotics software applications for advanced automation systems. Develop software infrastructure for machine and robot data collection, storage, analytics, and monitoring. Create intelligent diagnostics, visualization, and data-driven automation capabilities. Apply machine learning … SDLC), working with revision control tools, using remote debuggers, and following software release processes, ideally in an Agile environment. Experience with robotics software development, machine automation, or industrial control systems. Experience with Python and modern software development frameworks. Familiarity with machine learning, AI, data analytics, or data ...

testing, documentation, and support processes. Partner with product and business leaders to integrate AI-driven capabilities into Nordson XRT products. Explore opportunities to leverage machine learning, predictive analytics, computer vision, and intelligent automation to improve customer productivity, equipment performance, and operational reliability. Establish governance and best practices … multiple teams. Strong financial, operational, and strategic planning capabilities. Excellent written, verbal, and interpersonal communication skills. Preferred Skills and Qualifications Experience within industrial automation, machine vision, manufacturing technology, inspection systems, scientific instruments, or related technology sectors. Experience leading teams that develop software for hardware-enabled products and complex integrated ...

Fabric, Power BI and related tools to prepare, model, validate and analyse data, improving data quality, reporting reliability and insight. Apply statistical, predictive and machine learning techniques where appropriate to identify patterns, forecast trends, support segmentation, evaluate impact and generate practical recommendations. Train and mentor other members … automation, modelling and repeatable analytical workflows. Working knowledge of developing semantic layers, Gold layer outputs, reusable data products or enterprise reporting models. Experience applying machine learning or advanced analytical techniques, such as predictive modelling, clustering, classification or natural language processing. Familiarity with responsible AI, model validation and monitoring ...

topics for customers across the defence, security and commercial sectors. The Data Applied Research group has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs and graph based neural nets, AI for RF and EW, sonar and acoustics and you will have the opportunity to work … obtain, a 2:2 in your undergraduate degree in a relevant STEM subject such as Computer Science, Data Science (DS), Machine Learning (ML), Artificial Intelligence (AI), Robotics, Electronic/Electrical/Aerospace Engineering and Physics. An AI related Masters degree will also be beneficial for future Graduate roles. ...

design, build, deploy, and operate enterprise AI capabilities on a Microsoft-first stack, including agentic systems, generative AI applications, AI-enabled automation, and ML-powered platforms, ensuring consistent standards, quality, governance, security, and reliable global operations. Partners with enterprise architecture, security, privacy, legal, and central AI/data governance teams … Flow Azure engineering : Azure Functions, App Services, AKS, API Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability Security and governance : Microsoft Entra, Purview, Key Vault, Defender, Azure Policy Data and analytics : Azure ...

software A degree xehkeey in Software Engineering, Computer Science, or equivalent (2:1 minimum) Nice to Have: Familiarity with ROS/ROS2 Experience with machine learning, OpenCV, or CODESYS/PLC environments A background in automotive safety systems, defence, robotics, or autonomous vehicle development What ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

software boundaries. Experience implementing CI/CD processes for safety-critical software is required. Familiarity with ROS/ROS2 is advantageous, and experience with machine learning, OpenCV or CODESYS/PLC environments is beneficial. A background in automotive safety systems, defence, robotics or autonomous vehicle development would ...