51 to 75 of 884 PhD Jobs in the UK

culture of technical excellence through knowledge sharing, pair programming, collaborative debugging and design workshopsRequired qualifications, capabilities, and skills:Advanced degree (Master’s or PhD) in a STEM subject (including Data Science, Computer Science, Engineering, Physical Sciences, Applied Mathematics or Statistics)Extensive practical research experience and a proven track record of ...

translate technical requirements into actionable solutions, and communicate effectively with both technical and non-technical stakeholders. Desirable qualifications Desirable experiences include: BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative ...

innovation. Ensure high standards of model quality, validation, reproducibility, and performance. Communicate complex findings clearly to both technical and non-technical audiences. Essential Requirements Doctorate degree in Data Science, Machine Learning, Statistics, Bioinformatics, Computational Biology, or a related field. Experience working with large and complex scientific, healthcare, or research datasets. ...

Linux environments. Strong analytical and debugging skills, with the ability to reason about model behaviour and system performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity ...

enhancing execution algorithms, or a comparable quantitative modelling and analytics role.Practical experience applying AI technologies to build or optimize algorithmic trading applications.Master's or PhD degree in Financial Mathematics, Computer Science, Physics, or related quantitative topics, or equivalent practical experience in a relevant field.Excellent communication and diplomacy skills, with ...

understand and solve complex problems using data and insightsImplementing and optimizing algorithms for data processing, feature extraction, and model trainingYour ProfileDegree, Master's or PhD in a STEM discipline with additional consideration given to candidates with background in Bioinformatics, Biology or BiochemistryAbility to communicate technical concepts clearly to diverse stakeholdersAnalytical ...

team members and the broader Audit Technology function with the skills and knowledge to adopt and adapt AI innovations effectively.Requirements· Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning ...

days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications Bachelor’s Degree or an Advanced Degree (e.g., Masters, MBA, JD, MD, or PhD) in Computer Science, or related technology/engineering discipline. Preferred Qualifications Experience in developing agentic solutions using Cline, Claude, GitHub Copilot, Power Automate etc. Experience ...

QUALIFICATIONSBachelors, Master’s or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence7-8+ years of experience in software development, with significant full-stack web application development experience strongly preferred Experience working collaboratively with technical and non-technical team members ...

technical excellence through publications, speaking engagements, and thought leadershipEstablish best practices, technical standards, and evaluation frameworks for the teamWhat You’ll Need:Advanced degree (PhD or Masters) in Computer Science, Data Science, or a related field8+ years of applied machine learning/research experience, with demonstrated leadership in developing production ...

Looking For: Required: Master\'s degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems. Good understanding of experimental design ...

large-scale computing frameworks, data analysis systems and modelling environments. Examples include technologies like Spark, Hive, NoSQL stores etc. Bachelor’s, Master’s or PhD in Computer Science, Statistics or a related field. Ad‐tech/Mar‐tech background is a plus. Our Hybrid Work Approach Roku fosters an inclusive ...

rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns. Qualifications A Bachelor's degree (Masters/PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 5+ years of experience as an applied data ...

Audio AI lab in London. You will be supported by both a Senior Technical Manager, and Principal Engineer in Audio AI, and collaborate with PhD-level interns working on parallel research tracks.Your Contribution:As a Senior Audio AI Research Engineer, you will help explore and mature Audio AI solutions, combining ...

analytics partner to search data scientists, engineers, and product teams.Help elevate the team’s understanding of retrieval performance and measurement frameworks.Required qualificationsMaster’s or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)Significant experience in data analysis, business intelligence, or analytics rolesProficiency ...

engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 3 years industry experience (post Masters or PhD) in a commercial, non‐research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ...

cross-functional teams operating in fast-moving and ambiguous AI environments.Contribute to long-term AI and discovery strategy across Elsevier platforms.Requirements: Master’s or PhD in Computer Science, Data Science, Machine Learning, Information Retrieval, Statistics, NLP, or a related quantitative field.Significant experience in Data Science, Machine Learning, Information Retrieval, Search ...

with large-scale computing frameworks, data analysis systems and modelling environments. Examples include technologies like Spark, Hive, NoSQL stores etc.Bachelor’s, Master’s or PhD in Computer Science, Statistics or a related field.Ad-tech/Mar-tech background is a plus.#LI-PA1What's Roku's approach to hybrid working Roku ...

lead the delivery of, specific data science workstreams. Qualifications and skills Required What qualifications and experience are we after? A Master's or PhD in Data Science, ML, AI, or a related quantitative discipline - or equivalent demonstrated commercial experience. 5+ years of serious commercial experience across complex problems, including transactional ...

solve complex analytical equations and analyze market data. Demonstrated experience utilizing AI technologies to design and build high-performance trading applications. Master's or PhD degree in a quantitative field (such as Mathematics, Financial Engineering, Physics, or Computer Science), or equivalent practical experience in a relevant field. Strong written ...

finance to solve complex analytical equations and analyze market data.Demonstrated experience utilizing AI technologies to design and build high-performance trading applications.Master's or PhD degree in a quantitative field (such as Mathematics, Financial Engineering, Physics, or Computer Science), or equivalent practical experience in a relevant field.Strong written and verbal ...

Demonstrate effective communication skills with the ability to influence others to achieve objectives. Proven change management, collaboration, and negotiation skills. Desirable Master’s or PhD in Business Administration, Information/Data Science, Informatics, Computer Science, Economics, or related discipline. Experience in life sciences and healthcare. Intimate knowledge of relevant ...

diverse technical audiences. Willingness and flexibility to operate in a highly agile and dynamic environment. Demonstrated ability to work within large codebases. Preferred Doctorate (PhD) in Computer Science or related area, or equivalent training and experience in research. Experience of cluster-based distributed data processing techniques Experience with the internals ...

documentationContribute to exposure simulation and portfolio-level analyticsSkills that will help you in the role:experience in a quantitative/front-office roleMSc or PhD in mathematics, physics, engineering, or similarStrong background in probability, statistics, and derivatives pricingSolid programming skills (C++, Python; Java/Scala a plus)Strong analytical ...

incubate or drive new solutions and services. To qualify for the role, you must have A completed degree (bachelors, masters, or PhD) Proven experience, significant experience as a Data Analytics professional, or similar role in a consulting environment or equivalent with a focus on project delivery and management. Proven experience ...