18 of 18 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 ...

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 ...

must enjoy a fast-paced, high-execution culture, and maintain exceptional standards at a critical stage. In particular, you will: Design, build, and maintain machine learning models for use in credit decisioning. Collaborate with software engineers in deploying the models into production environments. Own model lifecycle management …/GCP Python - Preferred Docker Preferred or Kurbenetes SQL/PostgreSQL Git Nginx Flask or Fast API CI/CD, API development & Management, NLP, Machine Learning Experience and skills 5+ years of commercial experience as a Data Scientist building machine learning models. Relevant degree, e.g., Computer ...

environment A business passionate about solving complex problems and delivering innovative, high-quality solutions that make a real impact An organisation embracing AI and machine learning to create smarter, faster, and more effective solutions They are looking for top-tier talent, including graduates from Russell Group universities, ready … innovation. You will apply AI techniques, explore new technologies, and deliver intelligent solutions that set the standard for the industry. If you enjoy learning, creativity, and making an impact, this role is for you. What the Successful Software Developer can expect from their duties Full ownership of AI-driven ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

high-volume data processing. You will work at the heart of their next-generation data architecture, designing distributed systems that support cutting-edge machine learning workloads at scale. The Company They are a specialist AdTech organisation using advanced data processing and AI to understand consumer behaviour at massive … learn the other as needed. * Work across big data processing, data warehousing and high-volume SQL-based modelling. * Contribute to the architecture underpinning ML and GPU-backed inference workloads. * Develop resilient, cost-efficient systems that scale as data volumes grow. * Improve the existing platform and help build new tools, pipelines ...

Zenith Training is the fast-growing learning and development division of Zenith People. We work across various sectors, integrating strategic thinking with innovative training to help businesses deliver their strategy and future growth across the North East. As an Ofsted Rated Good provider and ISO 9001:2015 certified organisation … automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams to build AI adoption roadmaps, configure Microsoft 365 Copilot, and extend functionality using Power Platform and Azure AI. ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

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 ...

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 ...

need some here, but you'll work with the Senior R&D engineer who will guide you on coding) Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations) Strong analytical thinking and structured evaluation skills Excellent written communication — clear, concise, decision-ready outputs Self-directed working style with ...

emerging AI technologies and apply them pragmatically (not experimentally) • Own the agency-wide experimentation roadmap • Design structured tests with clear hypotheses, success criteria and learning outcomes • Introduce advanced testing methodologies (e.g. multi-armed bandits, automation-led testing) • Ensure learnings are embedded back into channel strategies, not left as theory … platform mechanics and APIs (Google, Meta, etc.) • Commercial mindset - able to balance statistical rigour with business reality Desirable • Experience implementing AI or ML models in marketing environments • Familiarity with automation tools, cloud data platforms, and LLMs for analysis • Agency experience or working in fast-paced, client-facing environments • Experience designing ...

data and technology services to clients across both the public and private sectors. You’ll join a collaborative culture that values diverse thinking, continuous learning, and opportunities for career growth within a global network of experts. If you're looking for a dynamic role that offers hands-on experience … Code (e.g., Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes-based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well-structured datasets. Participate in code reviews and internal knowledge-sharing sessions. Provide guidance to junior engineers ...

rather than maintain legacy platforms, this role offers exactly that. THE COMPANY They are a young, fast-growing consultancy focused on data engineering and machine learning. Backed by a clear vision and strong funding runway, they partner with organisations to modernise manual, fragmented data processes. Their work spans industries … Kinesis. Transformation experience using dbt, Spark or Databricks. Confidence working directly with clients and engaging in technical discussions. Exposure to dashboards, analytics, ML or LLM concepts is beneficial, but not essential. BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending ...