26 to 50 of 598 PhD Jobs in the UK excluding London

systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus You have a Master’s or PhD in ML, statistics, or an engineering field with 8+ years of experience Where you’ll be? Fully remote within the UK or a European time More ❯

or advanced scripting language (e.g. Python, Julia, R). - Experience with the Linux/UNIX operating system, especially with the command line interface. Desirable: - PhD (or equivalent experience) in a relevant STEM field such as physics, engineering, or computer science, with knowledge in nuclear physics, nuclear engineering, or fusion. Experience More ❯

and contributing powerful technologies/infrastructure. Demonstrate vision when brainstorming solutions for team productivity, efficiency, guiding and motivating developers. Qualifications Master's Degree or PHD in Computer Science, Engineering or Mathematics. Up to 2 years of hands-on experience in Java or web developments (JavaScript) or AI/ML modelling. More ❯

is expected to last at least a year with scope to become permanent based on success. Can be 3 days a week alongside a PhD, Research Masters or equivalent if necessary for the right candidate. We expect more work to be available during and post the year given the success More ❯

Work with large datasets to build scalable and efficient ML solutions. Conduct experiments, evaluate models, and continuously improve performance. Requirements: Education : BSc, MSc, or PhD in Computer Science, AI, Mathematics, or related field from a top-tier university ( i.e. Oxford, Cambridge, Imperial, UCL, Bristol, etc. ) Experience : At least 3+ years More ❯

Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master's or PhD in Data Science, Statistics, Computer Science, or related field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in More ❯

of model development, including data collection pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and More ❯

deploy effective statistical and machine learning models. Advise on proper Model Deployment infrastructure. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP More ❯

/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI More ❯

key biological insights. Stay up-to-date with the latest bioinformatics techniques, software, and trends in drug discovery. Requirements: Bachelor’s, Master’s, or PhD in Bioinformatics, Computational Biology, or a related field. Strong proficiency in programming languages like Python, R, or Perl for data analysis. Experience with bioinformatics tools More ❯

A degree (or equivalent experience) in a subject with strong mathematical content (e.g., Aerospace, Control, Mechanical, Physics, Computer Science). We also welcome recent PhD graduates with relevant research experience. Strong algorithm development and problem-solving skills. Good communication skills and a collaborative mindset. More ❯

latency. Report results in a manner which is both statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in patents or publications at top-tier peer-reviewed conferences More ❯

. Expertise in Python, knowledge of SQL a plus. Effective communication, interpersonal skills, and ability to work with partners across the business. Minimum Qualifications: Doctorate (Academic) Degree, Master's Level Degree and related work experience; Bachelor's Level Degree and related work experience. More ❯

healthcare data formats. Experience deploying AI models in production with Kubernetes and CI/CD pipelines. Eligibility to work in the UK. Masters or PhD in AI, Machine Learning, or related field preferred. If this looks like a role you would be interested in please get in touch ASAP. More ❯

studies. Strong and proven numerical analysis skills, engineering mathematics and statistics. Proven ability to solve complex problems using creative solutions. Desired Criteria Masters or PhD in Electrical Power Systems/Electrical/Electronic Engineering. At least 2 years' industry experience. Solid knowledge of the UK distribution sector, including EHV, HV More ❯

leadership skills to mentor teams and engage diverse audiences Proven ability to lead mid-scale development projects with efficient testing and object-oriented programming PhD or equivalent experience in Computer Science, Data Science, or Physics (plasma physics preferred), with professional AI/ML experience Familiarity with Linux environments and a More ❯

outcomes. Profile and requirements: Education: BEng/BSc in Computer Science, Mathematics, Engineering, or a related field (2.1 or better). MEng, MSc, or PhD is a plus. Language Requirements: Advanced proficiency in English, with proven fluency at the C2 level. Experience: Minimum of 5+ years of software development experience More ❯

versed with industry standard development practices, testing frameworks, source control (git), CI, etc Experience of agile development practices, especially Scrum Desirable: Master’s or PhD in Computer Science or relevant discipline Strong experience with a statically typed language, preferably C, C++, or Rust Experience with genetic algorithms or neuroevolution Experience More ❯

ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling Experience with AI model training pipelines and architectures More ❯

data governance, bias, fairness, and regulatory considerations in AI. Experience in the financial services, RegTech, or compliance domain is a strong plus. Advanced degree (PhD or MSc) in Computer Science, Data Science, AI, or a related field. Cultural add is as equally as important to us a technical skills, our More ❯

advertising domain (predictive modeling (CTR/CVR), multi-objective optimization, auction dynamics and behavioral targeting) is a plus You have a Master’s or PhD in ML, statistics, or an engineering field with 10+ years of industry experience in machine learning, including at least 5 years in large-scale systems More ❯

awareness of current and future developments in the HPC field. Who are we looking for? We do need you to have the following: A PhD or a BSc/MSc in Computer Science, Physics, Mathematics, or other numerate discipline plus at least 4 years relevant experience. Whilst not to be More ❯

in a rapidly changing environment. To be eligible you will need to have no more than two years of relevant work experience post-graduation (PhD students/graduates are not eligible for our graduate programmes). Above all, you will want to have an integral part in bringing the next More ❯

for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field. Strong Points: Deep technical specialization in optimization, simulation, and applied math. Ability to translate More ❯