126 to 150 of 2,450 Master's Degree Jobs in England

transparency and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications: Master's or PhD in computer science, statistics, or a related field. 2-7 years of experience in deep learning, machine learning, and data science. More ❯

process 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 More ❯

and risk analytics is highly beneficial. Ability to work independently and within a small, high-performance team in a fast-paced environment. Master’s in Computer Science, Engineering, or a related quantitative field. My client anticipates to pay a strong performer upwards of £350k year 1 total More ❯

and risk analytics is highly beneficial. Ability to work independently and within a small, high-performance team in a fast-paced environment. Master’s in Computer Science, Engineering, or a related quantitative field. My client anticipates to pay a strong performer upwards of £350k year 1 total More ❯

and effectiveness of customers Basic knowledge of standardized improvement methodologies Proficiency in Microsoft Office including Word, Excel, and Power Point required Qualifications Bachelors degree in Computer Science or related field preferred 2+ years of directly-related business applications experience Knowledge and experience with health care information systems or More ❯

RL), Data Science, or a related field. Expertise in LLMs : Proven experience with Large Language Models (LLMs) and fine-tuning techniques. Education : Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field. Programming Proficiency : Strong proficiency in programming languages like Python or More ❯

RL), Data Science, or a related field. Expertise in LLMs : Proven experience with Large Language Models (LLMs) and fine-tuning techniques. Education : Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field. Programming Proficiency : Strong proficiency in programming languages like Python or More ❯

Ensuring all work aligns with internal compliance and governance frameworks, reporting any concerns where appropriate. Requirements A solid academic foundation in a relevant degree (MSc or higher, ideally). Proven success designing, building, and deploying machine learning models into production environments. Strong Python and SQL skills, with practical More ❯

to streamline operations and improve service delivery. Set and achieve ambitious, measurable goals that align with our strategic objectives. Qualifications: Education: Bachelor's degree or Master's degree in Electrical Engineering, Mechanical Engineering, related engineering field or any other relevant industry experience. More ❯

date with modern software technologies, best practices, and advancements in AI and autonomous systems. Profile and requirements: Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related field. PhD is a plus. Experience: 5+ years of experience More ❯

Excel skills. Experience with SQL or other programming experience. Experience in project management, handling multiple priorities, and working with varied stakeholders. PREFERRED QUALIFICATIONS Masters degree in Engineering, Statistics, Computer Science, Business Analytics, Information Systems or related field. Professional work experience in a role requiring application of analytic skills More ❯

Certification or Scrum Master Certification. AWS Experience and Certifications. Managed and delivered IT engagements for a large MNCs. Bachelor's Degree in STEM. MBA or Masters in Computer Science. Proven track record of increasing project scope and complexity. Possesses a deep knowledge of Agile programs More ❯

lead the market. An ability to turn complex technical subject matter into relatable easy to digest and understand content for senior audiences. A degree level qualification (preferably Masters or PhD) in Statistics, Data Science, the physical or biological sciences or a related discipline. More ❯

libraries, such as scikit-learn, NumPy, Pandas, MLlib - Strong data engineering skills and communication and Data & AIML presentation skills. PREFERRED QUALIFICATIONS - PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. - 7+ years of industry experience in predictive modeling and analysis More ❯

to translate analysis into clear, actional business insights. If you possess a combination of some of the following skills then, LETS TALK! Bachelors degree, PhD or Masters in Data Science, Computing, Mathematics, Statistics or related field. Previous commercial experience in Data Science. Proficiency in Python and strong command More ❯

to translate analysis into clear, actional business insights. If you possess a combination of some of the following skills then, LETS TALK! Bachelors degree, PhD or Masters in Data Science, Computing, Mathematics, Statistics or related field. Previous commercial experience in Data Science. Proficiency in Python and strong command More ❯

to translate analysis into clear, actional business insights. If you possess a combination of some of the following skills then, LETS TALK! Bachelors degree, PhD or Masters in Data Science, Computing, Mathematics, Statistics or related field. Previous commercial experience in Data Science. Proficiency in Python and strong command More ❯

desire to learn and develop your skillset, we want to support you in achieving your goals. We also look for: A Bachelors or Masters degree in Computer Science, Software Development or something similar at a 2:1 or above An analytical mindset with solid problem-solving skills A More ❯

and Structuring globally Enhance the strategic XVA (grid) calculation engine as part of the Strategic Analytics Platform Your skills and experience Educated to Masters degree level or Doctor of Philosophy (PhD) in a quantitative subject or equivalent qualification/work experience Strong understanding of pricing and risk of More ❯

new offices Minimum requirements for the role: 5+ years in a product management role. History of successfully launching and scaling innovative products. Undergraduate degree in Computer Science preferred. MS, PhD, or MBA also preferred. Strong technical understanding, ability to establish credibility with engineers. Knack for gleaning customer insights More ❯

Love to See: Previous experience with digital reporting taxonomies (e.g. XBRL taxonomies). Experience with Data Analytics using Python or other language. A degree/masters/PhD in a STEM subject. Does this sound like you? Apply if you think we're a good match. We'll More ❯

master them Razor-sharp quantitative and analytical abilities to solve unique challenges in real-time A Bachelor's or Master's in Computer Science (or equivalent) – plus the skills to show for it Exceptional communication skills, making it easy to convey your brilliant ideas More ❯

master them Razor-sharp quantitative and analytical abilities to solve unique challenges in real-time A Bachelor's or Master's in Computer Science (or equivalent) – plus the skills to show for it Exceptional communication skills, making it easy to convey your brilliant ideas More ❯

of experience in data analytics Advanced Excel (VBA, Macros), Power BI, SQL, PowerPoint Strong statistical and analytical mindset Bachelor’s/Master’s in Mathematics, Statistics, or related field Bonus: Experience with automation tools and data audit processes More ❯

across the organization. Basic Qualifications 3+ years of experience in product development of large-scale, complex, and scalable technical products. Bachelor's degree in computer science, engineering, or related field. Experience in designing technical product solutions and managing roadmaps. Experience working in agile environments with engineering and More ❯