526 to 550 of 1,447 Master's Degree Jobs in England

measurable value creation. Stay abreast of global rail technology trends and best practices to maintain a competitive and future-ready organization. Qualifications & Experience Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field. 15+ years of progressive experience in technology leadership, preferably within large-scale, asset-intensive, or transport More ❯

measurable value creation. Stay abreast of global rail technology trends and best practices to maintain a competitive and future-ready organization. Qualifications & Experience Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field. 15+ years of progressive experience in technology leadership, preferably within large-scale, asset-intensive, or transport More ❯

technical discussions to ensure continued innovation Take on technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp More ❯

technical discussions to ensure continued innovation Take on technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp More ❯

technical discussions to ensure continued innovation Take on technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp More ❯

technical discussions to ensure continued innovation Take on technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp More ❯

technical discussions to ensure continued innovation Take on technical responsibility for model performance, accuracy, and deployment Collaborate with a diverse team across underwriting, product, and engineering Requirements Master’s degree in computer science, statistics, applied mathematics, or a related discipline Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp More ❯

Qualifications Bachelor's or Master's degree in Computer Science, Mathematics or similar field (PhDs will be given preference) 7+ years of experience working with massive data Strong knowledge of public cloud (AWS) Experience with data acquisition (API calls/FTP downloads), ETL, transformation/normalization Proficiency in ETL process is mandatory Experienced building More ❯

results to mentors or leads. Support project development, testing, or campaign execution depending on your track. Requirements Currently pursuing or recently completed a Bachelor's/Master's degree in Computer Science, IT, Engineering, Business, or related field. Passionate about learning and adapting to new technologies. Good communication and problem-solving skills. Basic technical More ❯

Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment More ❯

Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment More ❯

with data governance policies, standards, and frameworks. Define SLAs, KPIs, and monitoring approaches for data products to ensure reliability and trustworthiness. Your skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with More ❯

with data governance policies, standards, and frameworks. Define SLAs, KPIs, and monitoring approaches for data products to ensure reliability and trustworthiness. Your skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with More ❯

with data governance policies, standards, and frameworks. Define SLAs, KPIs, and monitoring approaches for data products to ensure reliability and trustworthiness. Your skills Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. 5+ years of experience in data architecture, solution design, or similar roles. Strong experience with More ❯

Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment More ❯

Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment More ❯

Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks) Strong problem-solving abilities for complex model performance and infrastructure challenges Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment More ❯

Proven experience in a leadership role within data analytics, client insights, or business development, specifically within corporate, institutional, investment, or transaction banking. A Bachelor's or Master's degree in Business, Finance, Economics, Data Science, or a related quantitative discipline is preferred. Mastery of financial concepts, including credit risk, revenue drivers, capital allocation, and More ❯

with a strong commitment to teamwork. Analytical & Detail-Oriented: Highly organized with keen attention to detail and an analytical problem-solving mindset. Education: Bachelor’s or Master’s degree in Computer Science, Electronics, or a related technical field. Why Join Them? Work on pioneering projects that blend AI, computer vision, and telematics to shape More ❯

with a strong commitment to teamwork. Analytical & Detail-Oriented: Highly organized with keen attention to detail and an analytical problem-solving mindset. Education: Bachelor’s or Master’s degree in Computer Science, Electronics, or a related technical field. Why Join Them? Work on pioneering projects that blend AI, computer vision, and telematics to shape More ❯

with a strong commitment to teamwork. Analytical & Detail-Oriented: Highly organized with keen attention to detail and an analytical problem-solving mindset. Education: Bachelor’s or Master’s degree in Computer Science, Electronics, or a related technical field. Why Join Them? Work on pioneering projects that blend AI, computer vision, and telematics to shape More ❯

which 3+ years leading engineering teams, specifically with data professionals Track record architecting large-scale data systems that handle complex processing requirements A Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a similar technical discipline. Highly Desirable : 3+ years in AdTech/MarTech, with deep understanding of programmatic advertising More ❯

which 3+ years leading engineering teams, specifically with data professionals Track record architecting large-scale data systems that handle complex processing requirements A Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a similar technical discipline. Highly Desirable : 3+ years in AdTech/MarTech, with deep understanding of programmatic advertising More ❯

which 3+ years leading engineering teams, specifically with data professionals Track record architecting large-scale data systems that handle complex processing requirements A Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a similar technical discipline. Highly Desirable : 3+ years in AdTech/MarTech, with deep understanding of programmatic advertising More ❯

models are commercially relevant and impactful. Work alongside data engineers to deploy production-grade code Mentor others and help embed data science best practices across the team Master s degree in computer science, mathematics, engineering, physics, machine learning, or a related field. Proficiency in Python and ability to write clean, production-quality code. 5+ years More ❯