25 of 25 Permanent Machine Learning Jobs in the North East

signals, develop predictive models, and contribute to high-impact analytical projects. This role offers the opportunity to work at the intersection of data science, machine learning, and real-world decision-making within a fast-paced and innovative setting. Key Responsibilities Analyse large and complex structured and unstructured datasets … automated data pipelines and ensure high-quality data delivery. Evaluate and integrate alternative datasets to generate differentiated insights and uncover new opportunities. Apply statistical, machine learning, and artificial intelligence techniques to solve complex analytical problems. Continuously improve analytical processes, methodologies, and tools to increase efficiency and impact. Stay ...

largest repositories of personal and financial data. We're looking for a Lead Security Data Scientist to lead a specialist team using data science, machine learning, AI and advanced analytics to detect threats, uncover malicious activity and strengthen the security of critical public services. This is an opportunity … critical infrastructure. About the team The Security Data Science team sits within DWP's Cyber Resilience Centre, bringing together expertise in data science, analytics, machine learning and automation to tackle some of the department's most complex security challenges. The team develops innovative capabilities that help identify threats ...

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 ...

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 ...

individuals who enjoy solving problems through automation, have experience integrating tools and workflows, and are curious about emerging technologies such as AI and machine learning . If you're passionate about modern cyber security, cloud technologies and building smarter, more efficient security solutions, this role offers the opportunity … threat hunting, investigations and continuous security improvement initiatives. Contribute to the secure adoption of AI-enabled technologies and identify opportunities to leverage automation and machine learning within security operations. Monitor emerging threats and help implement appropriate security controls and safeguards. Skills & Experience Essential Good level of experience within ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone. Machine Learning Ops Engineer Location: Ersk... ZIPC1_UKTJ Company DXC Qualifications Senior (5+ years of experience) #J-18808-Ljbffr ...

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 ...

passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision …/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives ...

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 ...

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 ...

largest repositories of personal and financial data. We're looking for a Lead Security Data Scientist to lead a specialist team using data science, machine learning, AI and advanced analytics to detect threats, uncover malicious activity and str... WKCL1_UKTJ ...

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 ...

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 ...

C++ or Python. Some understanding of electronics with the ability to read electrical schematics is a big plus Prior experience with the ROS, ML algorithms or computer vision tools is highly advantageous. Benefits and flexibility You will enjoy practical benefits including: A combined pension scheme reaching up to 16% Cash ...

documentation The Requirements Key requirements include: Strong Power BI experience Able to work with large datasets, data warehouses and modern tooling Understanding of machine learning techniques and how they add real value Confident working with and presenting to stakeholders ...

production. You'll work inside a collaborative "Rainbow Team" alongside civil servants, translating the Architect's platform decisions into reproducible, auditable infrastructure. Key Responsibilities ML/AI Pipeline Engineering - Design CI/CD pipelines specific to ML/AI workloads, covering data versioning, training, testing, packaging, and deployment. Production Reliability … platform's footprint down, in line with the programme's Green AI and Net Zero Commitments. Required Skills & Experience - Strong DevOps background extended into ML/AI-specific tooling (model registries, feature stores, experiment tracking) - Infrastructure-as-code and CI/CD pipeline design and build experience - Experience with observability ...

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 ...

roles, or AI-focused innovation. Knowledge of one or more key industries: A&D, Finance, Healthcare, Government, or Life Sciences. Familiarity with AI/ML frameworks, Data platforms, and Cloud ecosystems (Azure, AWS, GCP). Ability to translate complex technical concepts into clear business value. Strong communication and stakeholder engagement … technologies. Opportunity to shape the future of AI adoption within some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. ...

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 ...