1 to 25 of 43 Permanent Machine Learning Jobs in South Yorkshire

devices 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 ...

devices 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 ...

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 in highly diverse … 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 ...

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 ...

4+ years experience and expertise in Python and SQL Experience designing and building production data pipelines and data-intensive systems Experience working closely with machine learning engineers on model development and deployment Desirable : Direct experience with elements of our technology stack (Azure IoT Edge, Azure Storage, dbt , Apache … data processing or edge computing environments Familiarity with time-series data and acoustic signal processing What the job involves Designing and implementing data and machine learning systems that run from edge devices in the field through to cloud, scaling to hundreds of terabytes of sensor data with significant ...

goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational STEM problems … Master s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field. You have at least 5 years of Machine Learning experience with proven business impact. Strong programming skills in Python (numpy, pandas, scipy, sklearn). Solid understanding of numerical methods and computational algorithms. ...

training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during … helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one . We expect you to have a good understanding of ML but on the other side to be a good ...

insurance. Excited to make an impact? Here are the details You ll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. You will help build, publish, and maintain our complex data products and pipelines, key elements that have … Have Hands-on experience in Data Quality and Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

Paid Media Leadership Team to drive excitement, adoption, and integration as we run full-steam toward being an industry leader in AI, automation, machine learning, and holistic search strategies Drive full-funnel Paid Social strategy through an integrated approach, leveraging deep expertise across a variety of paid social … have managed Paid Social campaigns across a wide range of industries, engines, and management platforms, and you know when and where automation and machine learning can get your team's time back You have experience in emerging channels like TikTok and Reddit, and in pitching full-funnel strategies ...

Proven data engineering experience, with the ability to design, implement and maintain robust data pipelines. Hands-on experience working with AI, Generative AI or machine learning solutions in a practical, production-oriented context. Practical prompt engineering experience, including designing, testing and optimising prompts for large language models. experience ...

service integration into alerting, case management, and investigator workflows -Evaluation harnesses (golden datasets, regression tests, red-teaming scenarios, offline metrics) -Drive execution across engineering, ML engineering/data science, product, operations, compliance, model risk, architecture, cyber security, and technology controls -Create clear decision packs (options and trade-offs across risk ...

Data Engineer IntelliAM is an intelligent asset management company specialising in industrial IoT data. We ingest high-frequency factory and sensor data, apply machine learning techniques, and present high value actionable insights to analysts and customers. We are building a cutting-edge UNS aligned Industrial IoT data platform … modular code). Modelling Implementation: Support the implementation of the “Unified Name Space” (UNS) across the data estate, to include schema and path standardisation; machine hierarchies and semantic relationships; and methodologies for validation and processing of data against contracts. Enablement: Establish a stable data serving layer for Grafana ...

adapt to emerging technologies. Strong teamwork skills and sound judgment on when to seek help or collaborate. Nice to Have Experience with AI/ML or enterprise software (especially B2B SaaS) that complements Factory s mission. Prior work at startups or in high growth environments where you built processes ...

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 required. Implement … element of the 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 ...

prioritise and allocate work. Delivering both strategic and tactical technology solutions. Applying modern DevOps and exploring emerging technologies such as artificial intelligence and machine learning. This is a great opportunity and salary is dependent upon experience. Apply now for more details. ...

prioritise and allocate work. Delivering both strategic and tactical technology solutions. Applying modern DevOps and exploring emerging technologies such as artificial intelligence and machine learning. This is a great opportunity and salary is dependent upon experience. Apply now for more details. ...

working for a large asset owning company, or on projects for such companies, would be advantageous. Predictive and/or prescriptive analytics and machine learning. Practical experience of mathematical and statistical analysis and modelling skills, including sensitivity and scenario analysis of analytical models. Demonstrable use of R, Python, Matlab ...

DevOps and CI/CD pipelines. Experience with frontend technologies, including React and Next.js, and JavaScript. Familiarity with data science and analytics techniques, including machine learning and statistical modelling. Experience with database management systems, including relational and NoSQL databases. Experience with Dash or other UI frameworks … collaborative and dynamic work environment with a team of experienced professionals. Opportunities for career growth and development, with a focus on continuous learning and #J-18808-Ljbffr ...

child protection and abuse investigation issues. Hydrant develops policy and strategy on behalf of the NPCC, develops and delivers best practice advice including a learning, review and improvement function, provides a strategic analysis capability and partnership engagement with key stakeholders and partners. THE ROLE To work within the Hydrant … equivalent practical experience in data analysis or related field. An understanding of Python/Java/Scala or other programming languages or statistical/Machine Learning or working in an Agile team using Version control Provide the business with accurate, relevant and timely data, research and performance information ...

Analytics environments. Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake. Expertise in Python or R for statistical analysis, machine learning, and predictive modelling. Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data. Ability to communicate technical findings clearly to both technical ...

Analytics environments. Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake. Expertise in Python or R for statistical analysis, machine learning, and predictive modelling. Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data. Ability to communicate technical findings clearly to both technical ...

testing, end-to-end testing, cross-browser testing, regression testing, security testing, performance testing, API testing, and integration testing Experience testing or evaluating AI, ML, or LLM-powered systems, such as chatbots, copilots, agents, classifiers, RAG applications, document-processing workflows, or decision-support tools Familiarity with generative AI evaluation methods ...

Chattermill Analytics Limited in the United Kingdom seeks a Senior Machine Learning Engineer to advance our CX intelligence platform. You will design, train, and deploy transformer-based models and agentic systems on customer feedback data, balancing bespoke fine-tuning with off-the-shelf LLMs. You’ll own pipelines ...