8 of 8 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 ...

exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure. Required … effective technical communication skills. Desired Qualifications and Experience: PhD in systems, distributed computing, or large-scale AI infrastructure. Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR). Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale ...

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 ...

desirableDesirable experience with AI-enabled Electronic Health Records (EHRs), Clinical Decision Support Systems (CDSS), ambient documentation solutions, or healthcare analytics platformsKnowledge of Generative AI, machine learning, predictive analytics, and their practical application in healthcare delivery and operational improvementDesirable experience participating in or advising on digital transformation initiatives involving ...

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 ...

Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs by 2030 and ...