AWS, or Google Cloud for scalable AI/ML 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 More ❯
and new opportunities with technical team members. - Strong problem solving skills - Excellent communication skills PREFERRED QUALIFICATIONS - Post Graduate degree (MS or PhD) in Electrical Engineering, Computer Science, Mathematics or Physics with specialization in ML, NLP or Computer Vision. - Strong verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams. - Scientific thinking and the More ❯
expanding client engagements. What you will bring Master's (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. computer science, econometrics, AI, engineering, mathematics, physics, and other exact sciences). 10+ years of consulting experience or relevant industry experience, with at least 3+ years at a senior leadership level and a strong network in the More ❯
ML and proactively identify opportunities to apply them within the organization. Qualifications & Experience (Required) Education: Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or Engineering. Experience: 5+ years of professional experience as a Data Scientist, with a proven track record of building and deploying ML models in a financial services environment (Banking, FinTech More ❯
demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A background More ❯
demonstration. Person Specification: To excel as a Principal Data Scientist, you will typically possess: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent. Extensive professional experience in data science, with a proven track record of technically leading and successfully delivering complex, impactful, and production-grade data science solutions. A background More ❯
tools and technologies within systematic or discretionary investing units Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source More ❯
to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as well as very competitive salaries, our client offers More ❯
to both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential.This is an office-based role and as well as very competitive salaries, our client offers an More ❯
London, England, United Kingdom Hybrid / WFH Options
MediaTek
up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience with programming languages such as Python, C++, or similar Strong problem More ❯
london, south east england, united kingdom Hybrid / WFH Options
MediaTek
up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience with programming languages such as Python, C++, or similar Strong problem More ❯
slough, south east england, united kingdom Hybrid / WFH Options
MediaTek
up to date with the latest advancements in AI and related fields Requirement Qualifications Required: Currently enrolled in a PhD program in Machine Learning, Artificial Intelligence, Mathematics, Computer Science, Physics, or a related field Strong interest in research and a background in machine learning or a related area Experience with programming languages such as Python, C++, or similar Strong problem More ❯
engineering, they transform research into real-world capabilities that make a tangible impact. The Candidate: The successful candidate will be degree-qualified in a STEM discipline (eg Computing, Electronics, Physics) or possess equivalent experience. You will bring hands-on Embedded software development skills, ideally in C, C++ or Rust, and have experience working with microcontrollers, DSP, and Real Time operating More ❯
ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology More ❯
ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology More ❯
ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology More ❯
ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology More ❯
london (city of london), south east england, united kingdom
广州大学
ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor. Research disciplines at YITech include but are not limited to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology More ❯
experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of More ❯
experience in a quant/ML engineering or research role within a financial institution, hedge fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of More ❯
analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯
analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯
analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯
london (city of london), south east england, united kingdom
Harnham
analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship More ❯
JavaScript, etc) and Linux systems Strong academic background including a 1st or 2:1 or PhD in a numerate subject and A’s or A*’s in Maths and Physics at A Level Strong communication skills both for client work and for mentoring and leading team members British citizenship and UK residency for at least 10 years Due to the More ❯