51 to 75 of 824 PhD Jobs in the UK

house quantitative models. Interact with technology groups for production implementation design. Contribute to the core quantitative library used by the organization. Knowledge and Experience PhD or MSc in Physics, Mathematics, Quantitative Finance, Statistics, or a relevant scientific field. Strong mathematical knowledge of financial derivatives pricing and risk management models. Excellent More ❯

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 More ❯

through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. High level of enterprise experience working in Computer Vision and SME experience in three More ❯

through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. High level of enterprise experience working in Computer Vision and SME experience in three More ❯

Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models PhD or Masters in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI More ❯

by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark, and SQL Experience implementing More ❯

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 More ❯

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 More ❯

projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure) is desirable. MSc or PhD in Computer Science, Data Science, or related field is preferred. Don't meet every single requirement? Studies have shown women and people of colour are More ❯

teams towards business solutions. Who drives strategic product communications across organizations providing clarity in decisions. Has experience developing scalable applied science solutions. BASIC QUALIFICATIONS - PhD or Master's degree - Experience programming in Java, C++, Python, or related language - Experience in applied research - Background in Operations Research highly desirable or experience More ❯

data-led understanding of products and categories, optimizing across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularized regression More ❯

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 ❯

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 ❯

all levels to different stakeholder groups in both academia and industry. Excellent verbal, written and presentation skills. Qualifications Candidates should have an MSc or PhD in Computer Science, Data Science, Civil Engineering or a related field. Newcastle University is a global University where everyone is treated with dignity and respect. More ❯

teams towards business solutions. Who drives strategic product communications across organizations providing clarity in decisions. Has experience developing scalable applied science solutions. BASIC QUALIFICATIONS PhD or Master's degree. Experience programming in Java, C++, Python or related language. Experience in applied research. Background in Operations Research highly desirable or experience More ❯

innovative solutions in collaboration with teams across the organization, helping the business leverage AI and data analytics to solve customer challenges. Must-Have Requirements: PhD, Master's, or Bachelor's degree in Computer Science, Electrical Engineering, or a related field with hands-on experience in data engineering. Significant experience in More ❯

data-led understanding of products and categories, optimizing across space and range and increasing automation of category decision making. What we expect from you PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. Experience with machine learning techniques such as regularised regression More ❯

Work closely with product management and R&D teams to gather requirements and develop innovative data solutions that support product development. Must-Have Requirements: PhD, Master's, or Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field with a focus on data engineering or electric More ❯

design principles for AI interfaces and responsible AI practices Bachelor's degree in Computer Science, Artificial Intelligence, or related technical field; Master's or PhD preferred What We Offer We're rapidly expanding and are building a team of doers to achieve our vision of managing over 2 million properties More ❯

of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM) Prior More ❯

of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM). More ❯

code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices 10+ Advanced Python programming skills PhD a related field (computer science, math, machine learning) Preferred Qualifications: Peer reviewed publications in major AI conferences Experience with large language models Experience working in 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 ❯

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 ❯