13 of 13 Remote/Hybrid Deep Learning Jobs in the North of England

NextGen-FI) project, developing advanced AI and remote sensing methods for forest monitoring and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and stakeholder partners. The project addresses automated tree species mapping … species may not be represented in initial training data. Research will focus on open-set recognition, foundation models, multimodal approaches, and uncertainty-aware, incremental learning to build adaptable AI systems that recognise known species while handling unseen classes. The role spans the entire research pipeline - from processing spatio-spectral ...

cardiac chamber, large-vessel and pulmonary vascular analysis; identify technical limitations and prioritise changes required for heterogeneous CAPTURE-PH imaging. Develop and optimise supervised deep-learning methods for segmentation, feature extraction, classification and prediction, including retraining or fine‐tuning existing models using expert‐reviewed contours and labels where … recruitment process you can contact ClinMed‐Staffing@sheffield.ac.uk. A PhD (submitted, achieved or equivalent research/professional experience) in computer science, machine learning, medical imaging, biomedical engineering, data science or a closely related discipline. Essential (Application/interview) Strong practical experience developing deep‐learning methods for medical ...

such as smartphones, tablets and home computers. Based in the School of Computer Science at the University of Sheffield, you will lead the machine learning research on acoustic foundation models for respiratory health. You will work with large-scale real-world recordings of speech, breathing and cough, developing self … supervised learning and foundation-model approaches that are robust to noise, demographic variation and different recording environments. You will also contribute to clinically informed acoustic biomarkers and to the integration of audio with visual and clinical information. LungSight is a multi-university collaboration involving collaborators from the Manchester Metropolitan ...

such as smartphones, tablets and home computers. Based in the School of Computer Science at the University of Sheffield, you will lead the machine learning research on acoustic foundation models for respiratory health. You will work with large-scale real-world recordings of speech, breathing and cough, developing self … supervised learning and foundation-model approaches that are robust to noise, demographic variation and different recording environments. You will also contribute to clinically informed acoustic biomarkers and to the integration of audio with visual and clinical information. LungSight is a multi-university collaboration involving collaborators from the Manchester Metropolitan ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

span a wide range of AI and automation tools, including Virtual Assistants, Robotic Process Automation (RPA), Computer Vision, Natural Language Processing (NLP), Machine Learning, Deep Learning, Generative AI, Frontier LLMs, and Predictive AI. A strong candidate would have experience/exposure to nuances of these tools/ ...

decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientistuncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds BankingGroup,dataisn’tjust something we store in the cloud.It’sthe … decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, makingpredictionsand solving complex problems with machine learning techniques. Always with an ethical andaccuratelens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through ...

customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

Data Scientist (PhD, Chemical Engineering, Process Engineering & Machine Learning) Start date : To be agreed. Duration & hours : Full-time permanent contract, 40 hours per week. Salary : Competitive up to £42k. Workplace : Currently hybrid working pattern of two days in the office in Altrincham, Cheshire, followed by three days home working. … skilled and innovative Data Scientist with a PhD in Chemical Engineering with a focus on full integration of domain-specific process knowledge into machine learning models. As a Data Scientist, you will play a pivotal role in advancing our chemical processes, optimising process performance, and driving product development. Your ...

Department of Computer Science seeks to strengthen and expand its research in AI & Machine Learning through the appointment of a Lecturer or Senior Lecturer in AI/Machine Learning. The successful candidate will be expected to grow a world-leading research portfolio in an area of their choice, contributing … Computer Science at both undergraduate and postgraduate levels.The role offers scope to develop research in areas including, but not limited to, causal modelling, reinforcement learning, game theory, AI for Science, AI with human-in-the-loop, decision-making for complex systems, optimisation for LLMs, foundation models, dimensionality reduction, deep ...

opportunity to work at the heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank … England, such as generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation ...

HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises key performance … Excellent analytical, problem-solving, and critical thinking skills. PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science libraries ...