17 of 17 Machine Learning Jobs in Tyne and Wear

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 ...

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 ...

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 ...

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 ...

work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning. Role responsibilities: Lead the design and delivery of robust, scalable data platforms and pipelines Work alongside client teams to understand requirements and translate them ...

work closely with stakeholders to unlock the value of data, building scalable solutions that support analytics, reporting, and advanced use cases such as machine learning. Role responsibilities: Lead the design and delivery of robust, scalable data platforms and pipelines Work alongside client teams to understand requirements and translate them ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...