1 to 25 of 32 Permanent Machine Learning Jobs in the North East

learning solutions, helping organisations turn complex data into intelligent, real-world outcomes. What you'll have the opportunity to do as a Data & ML Engineer Building and maintaining scalable data pipelines that support analytics and machine learning Developing and deploying machine learning models into production … Supporting good engineering practice across testing, automation and deployment Contributing to Agile delivery through teamwork and continuous improvement About the Candidate The right Data & ML Engineer should have: Experience in data engineering, machine learning or applied AI roles Strong skills in Python and SQL, with exposure ...

technical direction, shaping strategy, and guiding teams to deliver intelligent, enterprise-grade solutions. What you'll have the opportunity to do as a Data & ML Architect Defining and owning data and machine learning architecture across complex programmes Designing scalable cloud-based data platforms and AI solutions that align … business goals Providing technical leadership across data engineering, ML and analytics delivery Establishing architectural standards around data modelling, governance, quality and security Working closely with senior stakeholders to translate business needs into technical roadmaps Mentoring engineers and architects while promoting best practice and innovation About the Candidate The right Data ...

Data & ML Engineer Newcastle (Hybrid) Data Engineers/ML Engineers if you enjoy building end-to-end data & machine learning solutions, this is a really strong opportunity to step into more AI-focused, production-level work. Im working with a leading Advanced Technology team delivering cutting-edge data … looking for: 3+ years experience across data engineering and/or machine learning Strong Python skills with experience building data pipelines and ML models Experience deploying models into production environments Exposure to big data/distributed systems Someone comfortable working with stakeholders and cross-functional teams Whats ...

machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/… improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM ...

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 ...

Machine Learning Operations Engineer opportunity. You will build and maintain the infrastructure for AI and ML models, focusing on data pipelines, automation, and deployment. This role lives between data engineering and machine learning Key Skills and Experience: Previous experience in tuning and deploying machine learning … modelling techniques; GBMs, Elastic Net GLMs, GAMs, Logistic Regression, Random Forests, Decision Trees, Neural Nets and Clustering Experience in DevOps, or other MLOps and ML Lifecycle stacks Experience with Docker and Kubernetes Experience in creating production grade coding Experience in programming languages (eg Python, PySpark, R, SAS, SQL) Experience ...

Data & Machine Learning Engineer £40000-55000 GBP Bonus Scheme, Pension, Hybrid + Flexible Working Hybrid WORKING Location: Newcastle Upon Tyne, North East - United Kingdom Type: Permanent Data & Machine Learning Engineer Newcastle Up to £55,000 S/C Clearable We're looking for a Data & Machine Learning Engineer to join a growing technology team in Newcastle click apply for full job details ...

teams to ensure solutions integrate effectively with existing digital platforms and align with wider delivery roadmaps. Essential Skills & Experience: Commercial experience with AI/ML technology: * OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: * Transformers/Hugging Face for working with pre-trained LLMs … serving endpoints * Requests library for client operations and external API integration * Authentication/authorization implementation (JWT, OAuth) * * Software Development: * Making excellent quality AI/ML software collaboratively with other engineers * Working effectively under technical leadership while contributing specialized AI/ML expertise * Design and implementation of AI/ML solutions ...

Data & ML Architect Newcastle (Hybrid) Data & AI Architects if youre looking to step into a role where you can shape enterprise-scale data and AI strategy, this is a standout opportunity. Im working with a leading Advanced Technology team delivering large-scale data and AI transformation programmes across both public … What youll have the opportunity to work on: Designing enterprise-scale data & AI architectures Shaping data strategy, governance, and engineering standards Leading architecture for ML, AI, and emerging GenAI solutions Overseeing MLOps and model lifecycle design (production AI at scale) Working across cloud platforms (AWS, Azure, GCP) Engaging with senior ...

sector Why Join Impact: Work on systems that support national security and critical operations Progression: Clear career pathways from Junior to Senior and beyond Learning: Ongoing technical development and exposure to advanced technologies Environment: Collaborative, mission-driven engineering culture Benefits: Competitive salary, bonus, hybrid working, and long-term career … Full Stack Developer, Distributed Systems, Microservices, Kubernetes, Docker, AWS, Azure, Infrastructure as Code, Agile, Scrum, Linux, Cybersecurity, Network Security, Real-Time Systems, Data Engineering, Machine Learning, Artificial Intelligence, Signal Processing, RF Systems, Simulation, Test Automation, Integration Engineer, Technical Consultant, Public Sector, Government Technology, Defence Technology ...

platforms Contribute to modern data architectures and engineering standards Deliver cloud-native data solutions using industry-leading tools Collaborate closely with analytics, AI/ML, and product teams Grow rapidly within a technically strong, delivery-oriented environment Your Responsibilities As a Data Engineer , you will: Build, optimise, and maintain scalable ...

Head of AI Type: Permanent The Opportunity A global professional services organisation is seeking an AI Capability Leader to design and scale its AI learning and community strategy. This senior role focuses on building practical, market-aligned AI capability while supporting enterprise clients and internal go-to-market activity. … Role You will lead the design and evolution of AI learning pathways aligned to current and emerging market needs, working across areas such as GenAI, machine learning, data science, and AI engineering. Partnering closely with commercial and delivery teams, you'll ensure learning programmes ...

insights. Experience producing management information to support decision making. Demonstrated ability to work in fast paced environments, managing competing priorities. Useful/Desirable AI, Machine Learning, RPA experience PowerApp development/Sharepoint development. Experience in the UK water industry or regulated utilities. Experience with Oracle databases/data ...

safety, reliability, and interpretability are built into everything you deliver. What were looking for Were looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands ...

Real Time. Big data & databases Experience with large-scale data storage and querying - relational and non-relational - within secure, governed cloud environments. AI & ML integration Building and deploying AI-powered capabilities, ideally in a security, fraud, or operational context within a regulated environment. What we're looking for Demonstrable experience ...

tools with an ability to rapidly upskill in new areas or technologies, adapting to emerging needs. Experience designing data architectures that support advanced analytics, machine learning, or AI use cases, underpinned by strong data governance and quality. Strong expertise in database and data warehousing technologies such ...

Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services … support of a permanent role. Youre not a contractor - youre a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing ...

+ BENEFITS PRIMARILY REMOTE THE COMPANY: This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive work ...

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. 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. 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 ...