19 of 19 Permanent Machine Learning Jobs in Tyne and Wear

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

growing technology team delivering modern data platforms and AI-driven solutions. This is an excellent opportunity to work on large-scale data engineering and machine learning projects using the latest cloud technologies. The Role You'll design, build and optimise scalable data pipelines while developing and deploying machine learning solutions that solve complex business challenges. Working across cross-functional teams, you'll help deliver robust, secure and high-performing data products. What youll be doing: Design and build scalable data pipelines using Python, SQL, Spark and Databricks. Develop, deploy and optimise machine learning models ...

same, giving you exposure to a broad range of technologies, engineering challenges and cutting-edge AI applications. If you enjoy understanding how machine learning models work—not just consuming APIs—and you're excited by building robust, scalable AI solutions, this could be the perfect next step. What … have a strong technical foundation. Ideally, you'll have: Strong Python development skills and experience building high-quality software. A solid understanding of machine learning algorithms and AI fundamentals. Experience with one or more of the following: Agentic AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Edge ...

exciting opportunity for a Data & ML Engineer to join a thriving technology and innovation hub where talented engineers, data specialists and industry experts come together to build solutions that make a real difference. Working across a diverse range of projects, youll have the opportunity to work with cutting-edge technologies … develop your expertise across the rapidly evolving world of AI. You will have the opportunity to: Design and implement robust data pipelines and ML workflows using Python, SQL, Spark and Databricks. Develop and deploy machine learning models, including NLP, deep learning and agentic AI, into production environments. ...

this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns … versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data Desirable Experience - AWS/Azure ...

science capabilities to firm, practice group and client priorities Accountable for the architecture and lifecycle of the data platform, covering ingestion, storage, analytics and machine learning Enable data science and advanced analytics use cases including predictive models, experimentation, AI and GenAI within a governed environment Ensure the platform ...

/ELT tools and data pipeline frameworks Solid understanding of data modelling, warehousing, and transformation best practices Experience across the data science/ML life cycle from prototype to production Experience working in public sector or regulated environments, with knowledge of GDPR and related standards Strong communication and stakeholder management ...

Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows … government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer ...

governance and quality frameworks Coaching and mentoring Product Managers Consultancy or client-facing environments Cloud platforms including AWS, Azure or Google Cloud (desirable) AI, Machine Learning or advanced analytics products (desirable) Government or regulated sectors (desirable). Why Apply? This is an opportunity to join a consultancy where ...

data quality Leading multidisciplinary delivery teams Consultancy, Government or highly regulated environments (desirable) Cloud platforms such as AWS, Azure or GCP (desirable) AI or Machine Learning products (desirable). Why Apply? You'll join an award-winning consultancy that places Product at the heart of digital transformation, offering ...

critical software A degree 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 ...

confidence to work independently when required. Desirable experience includes: Knowledge of Advanced Partner for Windows (P4W). Experience with AI technologies, automation and machine learning. Python development. Microsoft Copilot, Large Language Models (LLMs) or similar AI platforms. An understanding of how AI can enhance legal technology, automate workflows ...

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 ...

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 ...

growing technology team delivering modern data platforms and AI-driven solutions. This is an excellent opportunity to work on large-scale data engineering and machine learning projects using the latest cloud technologies click apply for full job details ...

focuses on integrating AI capabilities into production systems, ensuring they are reliable, secure, and deliver measurable impact. What You’ll Do Integrate AI/ML components into applications and operational workflows Design and implement Retrieval-Augmented Generation (RAG) solutions Evaluate LLM performance, identify failure modes, and implement mitigation strategies Test … appropriate Collaborate with engineers, data scientists, and stakeholders to deliver production-ready AI solutions What You’ll Need Experience building or integrating AI/ML systems into real-world applications Strong understanding of LLMs, ML models, and core statistical concepts Experience evaluating AI systems and improving reliability and performance Ability ...