1 to 25 of 37 Permanent Machine Learning Jobs in the North East

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

learning roles talk about building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models; it now needs the engineering capability to deploy … models. Deploy models in real-time and batch environments. Develop CI/CD pipelines that automate model testing and deployment. Help automate the full ML lifecycle-from dataset creation and training through to evaluation, deployment and monitoring. Build and improve the company's model registry. Monitor production ML services ...

people working on them are extraordinary.We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI and is a data and AI leader, to solve hard business problems. If you want your analytical work to drive … tooling — for example Power Platform, Power Automate, or equivalent.Direct experience working with cloud data platforms, specifically Microsoft Azure/Fabric.Relevant certifications in AI/ML, Power BI or Microsoft Azure is desirable. Experience working across multiple business domains or in a centre of excellence/shared analytics function.Knowledge of data ...

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 ...

building and deploying machine learning models to support personalisation, recommendations, anomaly detection, and data insights. The role involves working within modern ML Ops practices and leveraging AI-powered development tools to increase efficiency and scale.Key ResponsibilitiesDevelop and deploy machine learning models for various use cases including … personalisation and anomaly detectionImplement ML Ops practices including monitoring, continuous integration, and automated retrainingUse AI-assisted development tools such as Cursor and Copilot to enhance productivityCollaborate with engineers, DevOps, and leadership to ensure robust data pipelines and translate business requirements into technical solutionsRequirements3+ years of hands-on experience in applied ...

Data Science team of a large, established financial services business. The company has invested in its data platform and is building a dedicated ML Engineering capability to get more models into production. You'll work on real business problems, using large and varied datasets to develop models that … models. Using techniques such as regression, classification, clustering and forecasting. Writing clean, reusable Python code that can move beyond the research stage. Working with ML Engineers to deploy models into production. Defining how model performance should be measured and monitored. Reviewing existing models and identifying where they should be improved ...

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. ...

financial and legal supportSavings and discounts, including digital gift card discounts, online cashback, in-store and online coupons and lifestyle offersCareer progression and learning and development opportunities A company who cares about our communities; the environment and being a better business! Click here to read about The Greggs PledgeColleague … taking the business from AI experimentation to controlled, scalable and sustainable delivery, with agentic AI at the heart of the opportunityOwn and deliver the machine learning roadmap, business case and operating model for AI, securing Operating Board investment to deliver meaningful business outcomesIdentify, prioritise and scale AI opportunities ...

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 ...

Controls, or SABSA. Holds or is working towards CISSP, CISM, CCSP, or equivalent.GenAI security: experience assessing and mitigating risks in AI/ML solution architectures, including data exposure, prompt injection, model supply chain, and output integrity.Additional InformationWhy Version 1? At Version 1, we believe in providing our employees with ...

ability to read electrical schematics. Demonstrable knowledge and experience of current software engineering practices for Remote and Autonomous Systems. Experience with ROS/ROS2, machine learning and OpenCV is advantageous. Experience of robotics, machine control systems and automation is desirable. Knowledge of CODESYS or similar PLC software … multi-disciplined engineering team. Ability to investigate and interpret data, issues, and situations to make sound decisions in high-stress situations. Appetite for learning new technologies and applications. Ability to communicate complex processes and procedures to colleagues. Self-motivating, proactive and results-driven approach. Collaborative ethos is essential. Personal ...

markets, ideally with commercial experience or demonstrated by personal projectsYou have advanced SQL and Python skillsYou're familiar with Data Science and/or Machine Learning tools and techniquesYou have excellent communication skillsWhat's in it for you:As an Investment Data Analyst you will earn a competitive … package:Salary (to 80k, negotiable)Bonus25 days holidayBupa healthcareGenerous pension contributionContinuous learning and career development opportunitiesSocial team atmosphere with a range of events and early finish for drinks on FridaysApply now to find out more about this Investment Data Analyst (SQL Python) opportunity. #LI ...

RedTech Recruitment seeks a Machine Learning Research Engineer specializing in NLP/LLMs to explore new concepts, prototype approaches, and assess feasibility for industry-leading software solutions. Cambridge based … with a 3 days in-office, 2 days remote arrangement. The ideal candidate holds a Ph.D. in a relevant field, with strong NLP/ML expertise, publications, and experience with PyTorch, TensorFlow and Scikit-Learn, plus data science work on large datasets. #J-18808-Ljbffr ...

microservices JavaScript, TypeScript, HTML5 and CSS3 Experience working within Agile/Scrum teams Desirable Skills Azure Blazor Entity Framework/EF Core AI or Machine Learning integrations Docker and containerisation CI/CD pipelines and DevOps Git version control Benefits Fully remote working £40,000 - £50,000 salary … days holiday + bank holidays Company pension Ongoing learning and professional development Opportunity to influence technical decisions and architecture Supportive, collaborative engineering culture If you're looking for a role where you can work with modern Microsoft technologies, contribute to meaningful projects and have genuine influence over technical direction ...

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 ...

data pipelines to collect, store, and analyse process data. Collaborating with process engineers to implement advanced process control (APC), statistical process control (SPC), and machine learning models. Leading multidisciplinary projects with cross functional collaboration, fostering a culture of data-driven decision-making. Evaluating, selecting, and managing external software ...

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 ...

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 ...