1 to 25 of 34 Machine Learning Jobs in the North East

page at: ncl.ac.uk/sage/This is a full-time, fixed-term role for 3-4 months. Knowledge, Skills, and Experience AI and Machine Learning Skills: proficiency in various AI and machine learning methodologies, including supervised and unsupervised learning on image and tabular data. … latest AI frameworks and libraries, such as TensorFlow, PyTorch, Keras, etc. Programming skills: Experience with scripting languages such as Python for data analysis and machine learning applications and software development. Data management skills: Proficiency in database management systems (DBMS), including SQL and NoSQL databases, to store and manage … data efficiently. Cloud Computing and APIs: Experience with cloud computing platforms such as AWS, Google Cloud, or Azure, particularly their AI and machine learning services. Proficiency in developing and utilising APIs for the integration of AI functionalities into digital twin solutions. Software Development and Integration: Experience in software More ❯

AI Engineer (Machine Learning LLM Python) Newcastle to £200k Are you an AI Engineer with a first class education looking for an opportunity to progress your career, working on complex and interesting AI systems in an impactful role? You could be joining a FinTech start-up, the company … Hedge Fund client as a partner. As an AI Engineer you will join a new team responsible for evaluating and introducing AI and LLM Machine Learning functionality into the company's proprietary trading systems. There's lots of Greenfield development projects to get stuck into and you'll … have an impactful role in improving systems and processes, collaborating with a hugely talented team, with continual learning and self development opportunities. Location: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours 0900-1800 with some flexibility. The More ❯

KEY RESPONSIBILITIES: In this role, you will be responsible for: Designing, developing, and deploying AI/ML models and solutions, including LLMs and GenAI. Performing feature engineering and selection to optimize model performance. Selecting and implementing appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Training … optimizing models using machine learning and statistical techniques. Conducting extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Deploying models to production environments, ensuring robustness and scalability. Monitoring model performance and defining strategies for identifying drift; retraining or refining models as needed. … Collaborating with cross-functional teams to integrate AI/ML models with business applications and systems. Staying updated on the latest advancements in AI/ML technologies. Leading and mentoring junior team members. Developing and maintaining comprehensive documentation for AI/ML pipelines and workflows. Key Performance Indicators (KPIs) for More ❯

Postdoctoral Research Associate in Machine Learning - Durham The RoleThe successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene … with our European partners is anticipated, and the successful candidate will be encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world tests in diverse aquatic environments, necessitating a willingness More ❯

AI Engineer (Machine Learning LLM Python) Newcastle to £200k Are you an AI Engineer with a first class education looking for an opportunity to progress your career, working on complex and interesting AI systems in an impactful role? You could be joining a FinTech start-up, the company More ❯

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using … play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who … technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in More ❯

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using … play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who … technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in More ❯

Develop and optimise ETL/ELT processes to support data analytics and AI-driven initiatives. Collaborate with data scientists and process engineers to integrate machine learning models into production environments. Ensure the performance, scalability, and cost-efficiency of data warehousing and lakehouse solutions. Assess and implement emerging AI/ML technologies to improve data processing capabilities. Engage with business stakeholders to understand data needs and translate them in-to technical solutions. Ensure compliance with industry … values digital and AI-driven solutions, who see technology as an enabler rather than a challenge. At Victrex, we foster a culture of continuous learning, agility, and adaptability, where employees are encouraged to embrace new ways of working, leverage data-driven insights, and drive meaningful change. As we continue More ❯

and understanding of a variety of specialised survey software products Good knowledge of survey data processing philosophies and methodologies Knowledge of automated processing techniques, Machine Vision and Machine Learning Knowledge of cloud computing and hosting services Technical problem-solving skills Thorough knowledge and understanding of principle discipline More ❯

Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience We’re committed to providing our people with a great environment to work in. You can expect ongoing … you choose from over 5000 tech products at up to a 12% discount Free unlimited Udemy account for every employee to support their continuous learning and improvement Support in obtaining relevant certifications More ❯

This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest tech, including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to More ❯

with stakeholders across our internal and customer teams. Work includes scope, planning, mobilising, managing and reporting on contracts and projects that cover cloud consultancy, machine learning, data platform, and advanced analytics solutions for our customers - built with modern tools across the open source and cloud platform landscape. You More ❯

Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer pension scheme 25 days … you choose from over 5000 tech products at up to a 12% discount Free unlimited Udemy account for every employee to support their continuous learning and improvement More ❯

Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer pension scheme 25 days … you choose from over 5000 tech products at up to a 12% discount Free unlimited Udemy account for every employee to support their continuous learning and improvement More ❯

opportunities and threats posed by innovation and industry convergence Knowledge of, and passion for, key technology advancements, trends and disciplines including cloud, AI/ML, IoT, blockchain, AR/VR and sustainable IT, based on previous experience and interest in the latest innovations. Relevant experience with large scale digital and More ❯

Aerospace, Automotive, or Off-Highway sectors. Proficiency with Linux and real-time software development in C/C++, Java, or Python. Experience in robotics, machine control systems, and automation. Familiarity with ROS (Robotic Operating System), Machine Learning, and OpenCV is advantageous. Experience with software testing, including HiL More ❯

Aerospace, Automotive, or Off-Highway sectors. Proficiency with Linux and real-time software development in C/C++, Java, or Python. Experience in robotics, machine control systems, and automation. Familiarity with ROS (Robotic Operating System), Machine Learning, and OpenCV is advantageous. Experience with software testing, including HiL More ❯

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the More ❯

Essential: Extensive hands-on experience in data science and machine learning, strong Python skills, experience with recommender systems, proven track record in ML projects, excellent communication skills, effective cross-team collaboration. Desirable: Experience with MLOps, cloud services (AWS), best practices in testing and deployment, mentorship experience. Applications are More ❯

product roadmaps informed by market trends, user feedback, and business goals. Partner with data science and engineering teams to identify opportunities for AI/ML-driven innovation. Ensure product initiatives are closely aligned with organizational priorities and customer challenges. Embed AI, machine learning, and analytics into product features More ❯

experience in relevant industry. Experience with Linux and developing real-time software in C/C++, Java or Python is essential. Experience of robotics, machine control systems and automation is essential. A basic understanding of electronics and the ability to read electrical schematics is essential. Experience with ROS, machine learning and OpenCV is advantageous. Knowledge of CODESYS or similar PLC software is beneficial. Experience of testing or reviewing software written by others is desirable. Experience working in a multi-disciplined engineering team. Able to think laterally when problem solving. 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 procedures to colleagues. Self-motivating, proactive and results driven approach. Ability to work to deadlines whilst maintaining high quality. Excellent knowledge of MS office applications including Excel and Word. More ❯

C etc) Image Processing/Analysis Computer vision Data analytics and computational statistics Knowledge of similar data analysis/visualisation tools will be considered Machine Learning Artificial Intelligence Signal processing/analysis Good methodical problem-solving skills Strong communication skills both written and verbal Excellent teamwork and collaboration More ❯

join a highly skilled engineering team working on impactful AI solutions deployed in real-world environments. Key Responsibilities: Develop and implement advanced AI and machine learning models for computer vision applications. Build and optimise real-time video processing pipelines using tools such as GStreamer and FFmpeg. Train, validate More ❯

join a highly skilled engineering team working on impactful AI solutions deployed in real-world environments. Key Responsibilities: Develop and implement advanced AI and machine learning models for computer vision applications. Build and optimise real-time video processing pipelines using tools such as GStreamer and FFmpeg. Train, validate More ❯

join a highly skilled engineering team working on impactful AI solutions deployed in real-world environments. Key Responsibilities: Develop and implement advanced AI and machine learning models for computer vision applications. Build and optimise real-time video processing pipelines using tools such as GStreamer and FFmpeg. Train, validate More ❯