101 to 125 of 3,302 PhD Jobs in the UK

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) in data science/AI, computer science, bioinformatics or other related field. More ❯

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) in data science/AI, computer science, bioinformatics or other related field. More ❯

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) in data science/AI, computer science, bioinformatics or other related field. Carbon60, Lorien & SRG - The Impellam Group STEM More ❯

Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP More ❯

Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP More ❯

managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role looks of More ❯

managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role looks of More ❯

/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 15+ years of relevant, broad research experience Deep expertise More ❯

ML models. Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. PREFERRED QUALIFICATIONS Masters or PhD degree in computer science, or related technical, math, or scientific field. Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch More ❯

for core components of the platform Contribute to novel research and publish at top conferences when opportunities arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles More ❯

deliver impactful solutions, and adapt to evolving project needs, all while maintaining a strong commitment to continuous learning and team collaboration. Qualifications Hold a PhD or MSc degree in Computer Science, Artificial Intelligence, Data Science, or related field Key Skills and Experiences Proficient in machine learning and statistics, with hands More ❯

for core components of the platform Contribute to novel research and publish at top conferences when opportunities arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles More ❯

for core components of the platform Contribute to novel research and publish at top conferences when opportunities arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles More ❯

for core components of the platform Contribute to novel research and publish at top conferences when opportunities arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles More ❯

tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications: M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field. Background in generative modeling , Bayesian deep learning , signal/image processing , or graph models More ❯

planning, coding, testing, and deployment. Stay current on advancements in computational science and AI , applying relevant innovations to project work. Core Qualifications MSc or PhD in Computational Chemistry , Cheminformatics , Quantum Mechanics , or AI for scientific discovery . Demonstrated impact in previous scientific or technical projects , ideally within the life sciences More ❯

by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark and SQL Experience implementing More ❯

and/or machine learning. - Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. - PhD or Master's degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. - Practical experience in solving complex problems in an More ❯

making. Stay up to date with the latest advancements in AI/ML and computational biology, contributing to internal knowledge-sharing and innovation. Requirements PhD or MSc in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related field. Strong experience in developing and applying machine learning models, particularly in More ❯

/ML, blockchain, multi-band IoT. Track record of successful fundraising or technical due diligence for grant funding and other investors. Relevant MS or PhD degrees. Proven experience in Agile, Prince 2 Agile and Scrum methodologies. Experience in Generative AI and various LLM implementations. More ❯

Qualifications Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Proven knowledge of AWS platform and tools. PhD degree in Computer Science, or related technical, math, or scientific field. Hands-on experience of building ML solutions on AWS. Our inclusive culture empowers Amazonians More ❯

ML models. Stay up-to-date with the latest data engineering technologies and best practices. Mandatory Requirements Technical skills: A university qualification (Bachelors, Masters, Doctorate) with at least two years of university study in Computer Science, Informatics, Data Science, Engineering, or related fields. Experience in data engineering, with a focus More ❯

with real autonomy, and to shape how data is handled across the company. What experience you’ll need to apply: A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience 4+ years in a data engineering or similar role, building and maintaining data pipelines More ❯

with real autonomy, and to shape how data is handled across the company. What experience you’ll need to apply: A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience 4+ years in a data engineering or similar role, building and maintaining data pipelines More ❯

with real autonomy, and to shape how data is handled across the company. What experience you’ll need to apply: A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience 4+ years in a data engineering or similar role, building and maintaining data pipelines More ❯