1 to 25 of 27 Part-Time PhD Jobs in the UK

Required qualifications, capabilities, and skills \n \n Formal training or certification on software engineering concepts and 5+ years applied experience \n MS or PhD in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning; strong background in mathematics and statistics. \n Extensive expertise applying data science ...

will be optional opportunity for management responsibility dependent on the candidate's experience. \n\n Required qualifications, capabilities, and skills \n \n Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics \n Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning ...

Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward \n\n Required qualifications, capabilities, and skills \n \n Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc \n Robust understanding of Machine Learning, Statistics, and Mathematics, both ...

Transformation teams to address and solve complex problems using AI/ML. \n\n Required Qualifications, Capabilities, and Skills: \n \n MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. \n Proven experience building and deploying AI applications in large-scale production environments. \n Experience with ...

achieve optimal outcomes in a fast-paced environment. \n\n NICE TO HAVE BUT NOT ESSENTIAL \n \n \n An advanced degree (Masters/PhD) in Computer Science, Data Science, Machine Learning, Mathematics/Physics, or related quantitative fields preferred. \n \n Experience within Financial Services or FinTech ...

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

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

solutions \n \n\n Required qualifications, capabilities, and skills \n \n Hands on experience in an ML engineering role \n Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics \n Track record of developing, deploying business critical machine learning models \n Broad knowledge of MLOps tooling ...

through knowledge sharing, pair programming, collaborative debugging and design workshops \n\n Required qualifications, capabilities, and skills: \n \n Advanced degree (Master's or PhD) in a STEM subject (including Data Science, Computer Science, Engineering, Physical Sciences, Applied Mathematics or Statistics) \n Extensive practical research experience and a proven track ...

Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices. \n\n Required qualifications \n \n \n MSc/PhD in Computer Science, Data Science, Machine Learning, or related field. \n \n Significant proven experience building and deploying AI applications in large scale production environments. ...

frameworks to accelerate the application of machine learning models across different areas of the business \n\n Required qualifications, capabilities, and skills \n \n PhD in a quantitative discipline, e.g. Econometrics, Finance/Accounting, Mathematics, Computer Science, Operations Research \n Ability to conduct literature research in unfamiliar fields \n Hands ...

Required qualifications, capabilities, and skills \n \n Solid background in NLP and LLMs, and solid understanding of machine learning and deep learning methods \n PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant ...

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

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

Drive results with an entrepreneurial mindset in a fast-paced, high-impact environment. \n\n Required Qualifications, Capabilities, and Skills: \n \n Hold a PhD or possess equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline. \n Demonstrate extensive hands-on experience in ML engineering, with ...

independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community \n \n\n Required qualifications, capabilities, and skills \n \n PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry ...

science. Identify and leverage emerging techniques to drive ongoing enhancement. \n \n\n Required qualifications, capabilities, and skills \n \n Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry. \n Experience in applying NLP, LLM and ML techniques in solving high-impact ...

multi-million-pound investment decisions. \n \n What We Are Looking For (Requirements) \n The Must-Haves: \n · Educational Background: Master’s degree or PhD in a highly quantitative field or equivalent commercial experience. \n · Technical Leadership: Experience leading or mentoring data scientists, setting technical direction, and managing ...

data to translate findings into actionable modeling recommendations. \n\n What You'll Bring to the Table \n \n A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field. \n Proven, extensive experience in leadership and people management, with a demonstrated ability ...

delivery to the customer. \n\n \n What we need from you: \n \n \n Qualifications: first or second degree (BSc, BEng, MEng, MSc, PhD, EngD) in Electrical & Electronic Engineering (preferable) or related science (e.g. Physics) \n \n Experience with analysing system level requirements documents and understanding their application ...

FPGA technologies and tools from AMD, Altera, or Microchip \n\n What you’ll bring \n \n \n A degree (BSc, BEng, MEng, MSc, PhD, EngD) in Electrical & Electronic Engineering (preferred) or a related science (e.g. Physics) \n \n Coding experience, such as: Embedded C/C++, Python/scripting ...

require (a) a minimum of a 2:2 Bachelors/Integrated Master’s degree, or (b) a higher degree, such as a MSc or PhD in a STEM related subject including Cyber Security. \n A foundation in IT systems — such as Windows operating systems and basic networking. \n An enthusiasm ...

Good verbal and written communication skills. \n \n Experience of working in mixed discipline teams. \n \n Degree (BSc, BEng, MEng, MSc, PhD) in Electrical & Electronic Engineering or similar engineering/science course. \n \n Due to the nature of our work, any candidate must have 5 years UK residency ...

FPGA place and route. \n \n Ability to analyse system level requirements and derive detailed firmware requirements. \n \n Degree (BSc, BEng, MEng, MSc, PhD, EngD) in Electrical & Electronic Engineering (preferable) or similar engineering/science course. \n\n If you are passionate in what you do and can deliver ...

parametric insurance, and underwriting tools, focusing on London, Europe, and international markets. \n\n Qualifications \n \n \n Graduate degree in a STEM field (PhD preferred; Master’s with relevant experience considered). \n \n 3+ years of experience in the insurance industry or academia. \n \n Knowledge of ...