12 of 12 Machine Learning Jobs in Midlothian

world environments where data is noisy, conditions are uncontrolled, and failure is not an option. The client is at the frontier of what embedded ML can do. Most organisations are still building cloud-first systems. They are building ground-truth systems: devices that operate autonomously, make decisions in real time … relevant libraries: scikit-learn, TensorFlow, pandas, NumPy Real-world experience working with sensor data, time-series data, or IoT data streams Familiarity with embedded ML tools and approaches: TensorFlow Lite, Edge Impulse, ONNX Runtime, or equivalent Hands-on mindset; comfortable getting close to hardware, firmware code, and the real-world ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

Embedded Machine Learning and Real-Time Sensor Classification Introduced by: KO2 Embedded Recruitment Solutions Client Location: Edinburgh Salary: £60,000 to £70,000 per annum The Opportunity Our client is building the next generation of real-time detection systems that operate at the edge of the network, where ...

Embedded Machine Learning and Real-Time Sensor Classification Introduced by: KO2 Embedded Recruitment Solutions Client Location: Edinburgh Salary: £60,000 to £70,000 per annum The Opportunity Our client is building the next generation of real-time detection systems that operate at the edge of the network, where ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills: Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

integration. Candidate profile: - Consulting background with demonstrable delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong ...

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. Step ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

financial environments. Hybrid working, based in Scotland. What you'll do Set the AI and GenAI architecture strategy and roadmap. Build scalable AI/ML and Agentic AI platforms spanning LLMs, retrieval-augmented generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform … agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure. What we're looking for Proven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable experience of scalable AI deployment and integration. Financial services or another regulated industry ...