1 to 25 of 1,380 PhD Jobs in London

Job Description Department: Information Technology Job Summary We are seeking a highly skilled and motivated Data Scientist with a strong focus on machine learning (ML) and artificial intelligence (AI) to join our innovative team. The ideal candidate will excel in More ❯

problem-solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills — with teams and customers alike. Minimum Requirements MSc or PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, software engineering, or a related field, with a record of experience in any of the following: Scientific computing; High-performance More ❯

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from AGITProp AGITProp is an AI-driven quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor More ❯

Role Overview As Head of AI, you will be the primary technical driver of all AI/ML initiatives. You'll report directly to the CEO/CTO and own the full life cycle of our AI roadmap-from research More ❯

Join to apply for the Head of AI role at Scrumconnect Consulting 1 week ago Be among the first 25 applicants Join to apply for the Head of AI role at Scrumconnect Consulting Role As Head of AI, you will More ❯

you feel like you could excel in this role, please get in touch! Requirements A degree in Computer Science, Engineering, AI, Math, Physics, or similar - or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing More ❯

if you feel like you could excel in this role, please get in touch! A degree in Computer Science, Engineering, AI, Math, Physics, or similar – or equivalent work experience (PhD in STEM subject desirable) 2+ years experience writing production-level code for computer vision based applications with Python ML libraries, e.g Pytorch, TensorFlow Proficiency with version control and cloud computing More ❯

bachelor’s degree is not considered as sufficient academic experience. We’re primarily thinking about the experience of conducting an original piece of research as part of an MRes, PhD, fellowship, etc Proficiency in Python and SQL Experience of using Cloud technologies. GCP will be ideal, but other mainstream ones are fine as well Experience of/exposure to model … communication skills to work with different stakeholders/team members with varying degrees of knowledge in Data Science A collaborative team player Highly Desirable qualifications: Research degree (MRes or PhD) with a thesis on Reinforcement Learning or related discipline Knowledge/experience in Causal Inference Commercial experience in implementing and deployment RL or a similar personalisation system Commercial experience in More ❯

for analyzing and making sense of research data outputs and survey datasets. Fluency in advanced statistics, ideally through both education and experience. Person Specification Bachelor's, Master's, or PhD in Data Science, Computer Science, Statistics, or a related field. Comfortable working with uncertainty and ambiguity, from initial concepts through iterations and experiments to find the right products/services More ❯

team members and contribute to the data science community of practice. Your Profile: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields (PhD a plus). Strong programming skills in Python, with proficiency in data science libraries (NumPy, Pandas, scikit-learn). Experience with SQL for data querying and analysis. Solid understanding of More ❯

ML, LLMs, and software engineering trends and technologies. • Troubleshoot and debug issues across the software stack, including ML model performance problems. 3. ROLE REQUIREMENTS, QUALIFICATIONS AND EXPERIENCE • MSc/PhD degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field, or equivalent practical experience. • Professional software development experience using languages such as Python, C, Julia, C++, or similar. More ❯

sometimes, you can't tick every box. We would still love to hear from you if you think you're a good fit! General technical requirements: BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning Proficiency with More ❯

Direct message the job poster from un:hurd music Lead Data Scientist at Un:hurd Music, PhD Who We Are For years, artists have been 'shooting in the dark' when it comes to their marketing. There's a clear lack of robust, transparent and accessible marketing tools for musicians and artists to use to promote their music. At un:hurd More ❯

build collaborative working relationships with internal and external stakeholders at all levels Demonstrates inclusivity and respect for all Additional essential skills for the Principal Data Scientist: Experience in supervision (PhD students and Postdoctoral Fellows) Experience in writing manuscripts for publication Experience working with cloud environments and tools, such as Amazon AWS S3, EC2, etc Relevant solid publication record in either More ❯

Complexio's Foundational AI works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms, Complexio forms a deep understanding of how humans are interacting and using More ❯

As one of the world's leading digital transformation service providers, we are looking to enhance our Data Practice across Europe to meet the increasing client demand for our Data Science and AI services. We are seeking a highly skilled More ❯

Social network you want to login/join with: **Company Description****Work with Us. Change the World.**At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming More ❯

Learning or related disciplines. Completing a module or thesis on RL during a degree is not considered sufficient; we value experience conducting original research, such as in an MRes, PhD, or fellowship. Proficiency in Python and SQL. Experience with Cloud technologies (GCP preferred but others are acceptable). Experience or exposure to model deployment and/or software development. Strong … statistical and machine learning knowledge. Effective communication skills for working with stakeholders of varying technical knowledge. A collaborative team player attitude. Highly Desirable Qualifications: Research degree (MRes or PhD) with a thesis on Reinforcement Learning or related discipline. Knowledge or experience in Causal Inference. Commercial experience in implementing and deploying RL or similar personalization systems. Experience in software development and More ❯

s degree is not considered as sufficient academic experience . We’re primarily thinking about the experience of conducting an original piece of research as part of an MRes , PhD, fellowship, etc Proficiency in Python and SQL Experience of using Cloud technologies. GCP will be ideal, but other mainstream ones are fine as well Ex perience of/exposure to … communication skills to work with different stakeholders/team members with varying degrees of knowledge in Data Science A collaborative team player Highly Desirable qualifications : Research degree ( MRes or PhD ) with a thesis on Reinforcement Learning or related discipline Knowledge/experience in Causal Inference Commercial experience in implementing and deployment RL or a similar personalisation system Commercial experience in More ❯

features. Brainpool is a fast-growing AI start-up providing custom AI services for business since 2017. Our network of 500 top-level AI and Machine Learning experts, including PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge, and Harvard, supports our project delivery. Brainpool offers end-to-end AI solutions, from strategy development and planning More ❯

every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. Domain Expertise: Prior experience in anomaly detection applied to areas such as More ❯

natural language processing and generative AI applications. Knowledge of computer science fundamentals. Ability to collaborate across multiple projects and teams. Strong communication skills for stakeholder engagement. Master’s or PhD in a STEM field is preferred. Personal Qualities Hands-on approach, team-oriented problem solver. Inquisitive mindset and critical thinking. Strong analytical skills and attention to detail. Effective communicator and More ❯

information using data visualization techniques Qualifications/Requirements: A master’s degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required Mid-level professional with 2-4 years of ML/AI experience, typically at an Analyst level role or external equivalent A scientific approach More ❯

every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. Domain Expertise: Prior experience in anomaly detection applied to areas such as More ❯

every team member feels valued, respected, and empowered. What we're looking for: Education: Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field. A PhD is a plus. Principal Engineer: 6+ years of experience in anomaly detection, machine learning, or related technical fields. Domain Expertise: Prior experience in anomaly detection applied to areas such as More ❯