6 of 6 Deep Learning Jobs in Cambridgeshire

History. Key job responsibilities Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms Fundamentally understand Amazon's underlying Neural Edge Engine to invent optimization techniques Analyze deep learning workloads and provide guidance to map them to Amazon's Neural Edge Engine Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non … centric solutions for our devices Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys. Basic Qualifications 3+ years of building machine learning models for business application experience PhD, or Master's degree and 4+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural … deep learning methods and machine learning Prior experience in productionizing ML models and managing their full lifecycle from development to deployment Preferred Qualifications Understanding and preferably hands-on experience with recent methods for inference optimization, including Mixture-of-Experts (MoE), Diffusion Models for Language Generation, etc. Our inclusive culture empowers Amazonians to deliver the best results for More ❯

and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, you will architect complex, scalable, and secure solutions tailored to meet each customer's needs. You'll gather requirements, assess current infrastructure, and … Data and AI/ML solutions and 8+ years defining long-term product/solution roadmaps with execution programs Hands-on experience with AI/ML workloads including machine learning, deep learning, NLP, CV, GNN, or distributed training Ability to create compelling customer proposals and present to executives; proficient English communication in technical and business settings Preferred More ❯

Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using … to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as More ❯

provider that's deploying cutting-edge AI vision systems across food manufacturing environments. They're looking for a practical, technically skilled Applications Engineer to help roll out advanced machine learning solutions in fast-paced, high-speed production settings. This is a field-based, high-impact role-you'll be working on real production lines, replacing manual inspection tasks with … experienced engineering team. What You'll Be Doing Designing and implementing machine vision inspection systems using AI/ML tools. Running trials and developing proof-of-concepts to validate deep learning models in real environments. Programming and configuring PLCs and SCADA systems. Installing, commissioning, and supporting automation systems on customer sites. Documenting solutions-creating clear functional design specs … vision, automation, or similar engineering roles. Hands-on experience deploying machine vision or image analysis systems in industrial or research environments. Comfortable working with AI/ML platforms or deep learning-based vision tools. Strong troubleshooting and problem-solving skills in production environments. Excellent communication skills and ability to liaise with operators and engineers. Full UK driving licence More ❯

Generation (RAG) , agent orchestration, prompt engineering, and tool calling Knowledge of AI standards like Model Context Protocol (MCP) and Agent2Agent (A2A) Strong grasp of ML algorithms: regression, classification, clustering, deep learning Awareness of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act) Skilled in using AI tools like GitHub Copilot and prompt engineering for development tasks … platform or cloud-native service development Strong background in Microsoft Azure and PaaS services (e.g., Azure Functions, AKS, API Management) Expertise in RESTful API design, versioning, and lifecycle management Deep understanding of API security, authentication/authorization, and data privacy Excellent problem-solving skills and ability to propose scalable solutions Agile team experience, with strong collaboration across global R More ❯

GitHub Copilot for development. Ensure responsible AI practices aligned with NIST AI RMF , EU AI Act , and other ethical standards. Mentor junior developers and foster a culture of continuous learning and innovation. Skills & Experience 10+ years in software engineering, with strong experience building cloud-native or platform services using Microsoft and .NET . 4+ years in a Data Scientist … or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) , agent orchestration , prompt engineering , and tool calling . Familiarity with AI standards More ❯