51 to 75 of 723 PhD Jobs in the UK

Through your technical leadership and commercial focus, you'll drive meaningful outcomes while maintaining a bias toward simplicity and speed. What you'll need to succeed: A masters or PhD in Operations Research, Computer Science, Applied Mathematics, Machine Learning, Statistics or related algorithmic fields Proven experience developing optimisation or machine learning solutions in fast-paced logistics marketplaces or top-tier More ❯

optimal performance. Experience leading Enterprise Search projects at both the architectural and program level. Experience working with monitoring tools that integrate into service management. Bachelor's, Master's or PhD in Computer Science or related engineering field preferred, or equivalent combination of education, training, and experience. Experience working to deliver and complete professional services engagements. Experience as a public speaker More ❯

가정에서의 희생을 감수해서는 절대 안 됩니다. 이것이 바로 우리가 근무 문화의 일환으로 유연성을 추구하기 위해 노력하는 이유입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다. BASIC QUALIFICATIONS - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work experience More ❯

prioritize new product features Organize, prepare, and present technical information in a clear and effective manner Participate in the development of an inclusive, helpful, fun environment About You Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical fieldpreferred A professional with 5+ years experience with Python. Knowledge of NumPy, Pandas, Scikit-learn More ❯

of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast More ❯

learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can More ❯

learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can More ❯

evaluation/comparison of ML models requirement Qualification: Graduated from a computer science, software engineering, or related degree program Experience: 5+ years experience working in the industry or a PhD in a relevant field Technical leadership with a range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical understanding of machine learning, neural networks, and other More ❯

of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast More ❯

grades in Mathematics and other numerate A-levels. 2'1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering or Physics. A PhD or a research-based Masters is highly desired for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder should be able to identify More ❯

informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. Basic Qualifications PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related technical field (MSc with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning More ❯

with data engineering practices using KDB+/q Practical knowledge of volatility trading and market microstructure in equity derivatives Some other highly valued skills may include: Master's or PhD in STEM (math, statistics, or computer science) Machine learning and optimization theory Knowledge of Python & Rust You may be assessed on key critical skills relevant for success in this role More ❯

to foster collaboration and maintain strong client relationships. Solid organizational and time-management skills, coupled with a keen eye for detail. Perfect command of English and Spanish. Preferred Qualifications PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Experience with quantum computing and/or Tensor Networks libraries. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable More ❯

according to the scope pre-defined for individual projects. Prepare and present scientific publications, reports, and presentations to both internal and external audiences. Key Experience and Expertise Skills & Experience PhD (or Master's degree with extensive experience) in quantitative discipline such as Statistical Genetics, Bioinformatics, Computational Biology, or a related field. Minimum 3 years of experience in statistical genetics or More ❯

engines and leverage third-party data enhancements. Collaborate with stakeholders to translate business challenges into data-driven solutions Reporting back and presenting to non-technical clients Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Communication skills – able to translate complex insights into business value Strong experience More ❯

theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of machine learning/statistical modeling data analysis tools and More ❯

postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD in applied data science. Where You'll Be : London, UK. Flexible remote working policy. The Eutelsat Group treats the protection of personal data submitted to it seriously. By submitting this More ❯

PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We More ❯

highly proficient in programming languages common to data science (e.g. Python, R, Scala) and have experience with large scale data processing (e.g. Spark). A Master's degree or PhD in Computer Science, Machine Learning, Statistics, or related quantitative field is required. At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a More ❯

market. Engage directly with clients to explain methodologies and results. Support API clients (pre- and post-sale) with onboarding and bespoke project implementation. Qualifications: Advanced degree (Master's or PhD) in quantitative finance, mathematics, computer science, physics, statistics, econometrics, or a related discipline. Minimum 5 years' experience in quantitative modeling roles within finance, preferably focused on fixed income analytics in More ❯

the-art research and applying emerging AI techniques to solve business problems. Ability to supervise sub-teams, lead projects, mentor junior colleagues and lead on technical standards maintenance. Desirable : PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. Experience in applying Natural Language Processing and/or Speech Technology techniques More ❯

Why Choose UCLH? Person Specification Knowledge and Qualifications Essential Masters in epidemiology, statistics, mathematics, computer science, physics, engineering, data science or other relevant areas (or other equivalent qualification) Desirable PhD in epidemiology, statistics, mathematics, computer science, physics, engineering, data science or other relevant areas (or other equivalent qualification) Experience Essential Experience and demonstrable success in research and or data sciences More ❯

with Vehicle Modelling and Data Science to maximise team outcome Maintain consistent standards and approaches adopted by the Team Job requirements Knowledge, Skills and Experience: MEng/MSc or PhD degree in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, or a related discipline Proven experience in data analysis, statistical modelling, and machine learning techniques. Previous experience More ❯

with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications - PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in More ❯

learn and understand new concepts, technologies, and methods. Qualifications Bachelor's degree or Master's Degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field (essential). PhD in related field is desirable. Join a sovereign Australian enterprise driving innovation to protect national interests, offering meaningful work, career growth, and a supportive, flexible environment. Consunet is headquartered in More ❯