1 to 25 of 630 PhD Jobs in the UK

Python, deep learning frameworks, Computer Vision, Spark Have produced production level algorithms Proficient in researching, developing, synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's or PhD level degree 5+ years of work experience in a data science role Proficient with cloud computing environments, Kubernetes, etc. Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience More ❯

development and deployment and knowledge of data pipelining (e.g. via Airflow) A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year More ❯

and Generative AI technologies. Knowledge of search platforms like Apache Solr or Elasticsearch is a plus. Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering). We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise More ❯

solutions to make detection models more pro-active Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Master's or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution More ❯

Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a plus. Strong problem-solving, analytical, and communication skills. Preferred Qualifications MSc or PhD in Computer Science, Statistics, Mathematics, or a related field. Experience in finance, marketing analytics, or e-commerce. More ❯

agile delivery, working together with developers, QA, and operations stakeholders Monitoring model performance metrics and investigating anomalies in production environments. Your skills and experience Advanced degree (Master's or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics) Experience developing models in a financial services or FinCrime setting Experience in model development, risk analytics, or quantitative More ❯

and quality of data. Must possess full right to work in the UK, we cannot consider those on a work or temporary visa of any kind. Qualifications MSc or PhD in a relevant scientific or engineering discipline (e.g. Chemistry, Physics, Environmental Science, Engineering). Alternatively, strong applied research or instrumentation experience. Desirable Exposure to sensor development or IoT monitoring systems. More ❯

and quality of data. Must possess full right to work in the UK, we cannot consider those on a work or temporary visa of any kind. Qualifications MSc or PhD in a relevant scientific or engineering discipline (e.g. Chemistry, Physics, Environmental Science, Engineering). Alternatively, strong applied research or instrumentation experience. Desirable Exposure to sensor development or IoT monitoring systems. More ❯

curiosity, and a passion for staying up to date with the latest advancements. Ability to document work clearly and adhere to best practices in reproducibility and model governance. Qualifications PhD or MSc in Artificial Intelligence, Machine Learning, Computer Science or a related STEM field. #LI-PM1 Inclusion & Diversity We value diversity and strive to promote inclusivity in all aspects of More ❯

edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like More ❯

edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like More ❯

edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like More ❯

edge methodologies in data science and analytics, sharing knowledge with the team. Required Experience Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred). Deep understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like More ❯

Focus on improving decision making in category management by enhancing data-led understanding of products and categories, optimizing across space and range, and increasing automation of category decisions. Qualifications PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. 3-5 years of experience. Experience with machine learning techniques such as regularised regression More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯

related field plus 4+ years of C/C++, Java or Python software development experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯

introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in More ❯

work with others to understand the problems they face Ability to play a collaborative role in applying for grant funding for research as appropriate to discipline Skills Essential A PhD qualification or equivalent expertise/experience in a quantitative scientific discipline (eg mathematics, statistics, engineering, physics, computational biology, computer science or a relevant discipline). Knowledge Essential Knowledge of appropriate More ❯

capabilities, and skills • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods • 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 industry or research experience in More ❯

through technology enablement. Collaborative, innovative, and comfortable in a fast paced, evolving environment. Proficient in Python, R, or other data science languages; experience with LLMs and applied AI preferred. PhD in Data Science, Artificial Intelligence, Computer Science, or a related quantitative discipline preferred. Master's degree with significant applied AI experience may be considered. What we offer A strategic leadership More ❯

to effectively manage interest. Therefore, if you're interested in joining us at AXA, please don't hesitate to apply. What you'll bring: Bachelor's, Master's, or PhD in data science, computer science, mathematics, statistics, operations research, or a related technical field. Proven experience in AI, machine learning, data management, or data science roles within large organisations, with More ❯

some of the biggest companies in the world. This is a Graduate Software Engineer job focusing primarily on C/C++ development for security products. Key Skills: Masters or PhD in Maths, Physics, Computer Science or similar Good academic or commercial C/C++ experience Experience working on DSP’s for algorithm design is highly desirable but not essential Ability More ❯