1 to 25 of 548 Machine Learning Jobs in Scotland

relevant position opens. Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets … our team apart from the crowd, is our vibrant and unwavering pursuit of excellence Overview: We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in … developing pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will work closely with a multidisciplinary team of engineers, data scientists, and audio experts to build groundbreaking products that push the boundaries of audio technology. This is a unique opportunity to contribute More ❯

Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV Join to apply for the Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV role at UNSW Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV 1 week ago Be among the … first 25 applicants Join to apply for the Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV role at UNSW Get AI-powered advice on this job and more exclusive features. The Opportunity The School of Photovoltaic and Renewable Energy Engineering (SPREE) has an opportunity for a … Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience in applying these methods to renewable energy (wind or photovoltaic) applications is highly desirable. This Job is based in More ❯

Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV Join to apply for the Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV role at UNSW Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV 1 week ago Be among the … first 25 applicants Join to apply for the Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV role at UNSW Get AI-powered advice on this job and more exclusive features. The Opportunity The School of Photovoltaic and Renewable Energy Engineering (SPREE) has an opportunity for a … Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience in applying these methods to renewable energy (wind or photovoltaic) applications is highly desirable. This Job is based in More ❯

all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster … find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale. We are looking for a Senior … impact to both Amazon top-line & bottom line. BASIC QUALIFICATIONS - 5+ years of scientists or machine learning engineers management experience - Knowledge of ML, LLM, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software More ❯

Social network you want to login/join with: Senior Machine Learning Engineer, glasgow col-narrow-left Client: Location: glasgow, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior … Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy More ❯

Social network you want to login/join with: Senior Machine Learning Engineer, edinburgh col-narrow-left Client: Location: edinburgh, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 10 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior … Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy More ❯

Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. -Use machine learning and analytical techniques to create scalable solutions for business problems. -Research and implement novel machine learning and … the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple … from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience More ❯

Role: Machine Learning Engineer Location: Edinburgh, Hybrid (60% of time in office) Salary: £40,000 to £45,000 per annum (or pro-rata) + pension scheme and bonus Job Type: Permanent, Full-time or Part-time SeeByte , the global market leader in the development of smart software for … the development and tuning of models for object detection and classification using state of the art Deep Neural Networks. You will work with the ML team to develop Generative Adversarial Network systems to create realistic environmental simulations You will be involved in defining and implementing new areas of technology and … experience of using C++ and/or Python. You will have strong numeracy and critical thinking skills. Hands-on commercial or academic experience in ML with demonstrated technical skills in one or more of the following areas: deep neural networks, pattern recognition or computer vision. Knowledge and experience of data More ❯

specified Location: London (Fully Remote) Job Category: Other EU work permit required: Yes Job Views: 5 Posted: 31.05.2025 Expiry Date: 15.07.2025 Job Description: Senior Machine Learning Engineer Up to £100,000 Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This … is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior Machine Learning Engineer, you will develop and implement machine learning models to optimize the platform’s performance, working with a dynamic team and leveraging … state-of-the-art technologies to drive growth. Responsibilities: Develop and deploy machine learning models for the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Engage in innovative, data-driven projects within the crypto space. Stay updated with the latest trends in More ❯

drive digital and financial inclusion across our markets. As a Senior Analytics & MLOps Platform Engineer, you will be designing, deploying and managing data and machine learning infrastructure to make it easy for data scientists to experiment, train, serve and monitor batch and online machine learning models … is to improve the ability of Product, Operations and Data Science teams in M-KOPA to make data driven decisions and automate them using machine learning. You will be designing and implementing architectures to streamline exploration, training, deployment and monitoring of machine learning models. Building and maintain … CI/CD pipelines to deploy machine learning models into production, ensuring scalability, reliability, and continuous performance monitoring with automated retraining workflows. You will also implement version control for models and feature sets to ensure reproducibility, traceability, and compliance with best practices. Using Azure and infrastructure-as-code More ❯

Social network you want to login/join with: Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to … work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. … Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid More ❯

Social network you want to login/join with: Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to … work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. … Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid More ❯

Social network you want to login/join with: Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to … work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. … Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid More ❯

Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to … LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You … diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a More ❯

on, experienced, and seasoned Senior Applied Scientist who will be deep in code and algorithms; who is technically strong in building scalable computer vision machine learning systems across item understanding, pose estimation, class imbalanced classifiers, identification, and segmentation. You will drive ideas to products using paradigms such as … deep learning, semi-supervised learning, and dynamic learning. As a Senior Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on complex customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial … Key job responsibilities Architect, design, and implement Machine Learning models for vision systems on robotic platforms. Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap. Work with stakeholders across science and operations teams More ❯

and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯

and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯

and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯

Job Type: Full-Time Salary: £40,000 to£45,000 per annum (or pro-rata) + pension scheme and bonus Job Description: As a Machine Learning engineer at Seebyte, you can expect to play a key role in exciting and varied projects involving uncrewed systems, working as part … in the development and tuning of models for object detection and classification using state of the art Deep Neural Networks.You will work with the ML team to develop Generative Adversarial Network systems to create realistic environmental simulationsYou will be involved in defining and implementing new areas of technology and shaping … scikit learn.Have experience of using C++ and/or Python.You will have strong numeracy and critical thinking skills.Hands-on commercial or academic experience in ML with demonstrated technical skills in one or more of the following areas: deep neural networks, pattern recognition or computer vision.Knowledge and experience of data mining More ❯

time or Part-time SeeByte, the global market leader in the development of smart software for uncrewed maritime systems, are looking to recruit a Machine Learning Engineer to join their team in Edinburgh , Hybrid (60% of time in office). You will have a unique opportunity to play … the development and tuning of models for object detection and classification using state of the art Deep Neural Networks. You will work with the ML team to develop Generative Adversarial Network systems to create realistic environmental simulations. You will be involved in defining and implementing new areas of technology and … experience of using C++ and/or Python. You will have strong numeracy and critical thinking skills. Hands-on commercial or academic experience in ML with demonstrated technical skills in one or more of the following areas: deep neural networks, pattern recognition or computer vision. Knowledge and experience of data More ❯

machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven … gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot More ❯

machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven … gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot More ❯

machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven … gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot More ❯

This role offers a compelling mix of technical innovation, leadership, and people management. You will lead a team of scientists and engineers to build Machine Learning solutions to address business critical needs. You will work closely with customers, product and program managers, other engineering managers, and tech leads … and directly impacts multiple organization goals and beyond. BASIC QUALIFICATIONS 3+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business application Experience building complex software systems … especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process More ❯

allow the precise control of cell and gene therapies in response to a diverse range of molecules. Key Responsibilities Develop and refine AI/ML methods for RNA-based control system development. Preparation, processing, cleaning, and annotation of datasets tailored for AI development. Manage the curation of these datasets to … on achieving shared goals with a commitment to high-quality outcomes. Skills Proven track record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive … methodical approach to problem-solving. Familiarity with handling and analysing Next-Generation Sequencing (NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience More ❯