26 to 50 of 324 PhD Jobs in London

communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role looks of interest, please reach out to More ❯

regulatory compliance (e.g. GDPR). Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in More ❯

communication skills, with experience in managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role looks of interest, please reach out to More ❯

and automated retraining across cloud and on-premise environments. Collaborate with senior engineers through code reviews, design discussions, and knowledge-sharing sessions. 🎓 What We’re Looking For MSc or PhD from a top university in Computer Science, Machine Learning, Mathematics, or a closely related field. Strong foundational knowledge of machine learning and deep learning , with hands-on experience using frameworks More ❯

agile rituals and related practices You Have: Minimum 3, ideally 5+ years of experience working as an ML engineer Some experience providing technical leadership on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area A proven track record of delivering complex ML projects working alongside high-performing ML, data, and software engineers using agile software More ❯

hypothesis This is an opportunity to directly contribute to the discovery of novel innovative medicines by applying computational chemistry techniques on teams with experienced multidisciplinary drug hunters About You PhD in chemistry, biology, computer science, or a related discipline 1-5 years of relevant experience including hands-on experience with informatics, machine learning, and computational chemistry applied to drug discovery More ❯

and workshops. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore's next generation of AI hardware. Candidate Profile Essential: Master's, PhD or equivalent experience in a technical field (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering). Python programming in a modern deep learning framework, e.g. PyTorch or JAX. Familiar More ❯

AWS, GCP, Azure, or Modal). Experience in fast moving AI, ML or high growth environments, such as startups, research labs, or AI-driven product teams. Bachelors, Masters, or PhD in Computer Science, Mathematics or a related field. Nice to Haves: Experience with LLMs, NLP, or synthetic data generation. Familiarity with Rust or C++ for high performance ML applications. Experience More ❯

production code. Deep familiarity with 3D AI and 3D computer vision frameworks/libraries. Hands-on experience with 3D data processing (point clouds/Lidar data). MSc/PhD in Computer Vision, Machine Learning, Computer Science, or related fields from leading universities in the UK, EU, or US. Personal traits we'd love to see: Passionate about solving novel More ❯

both technical and non-technical stakeholders. Establish best-in-class development practices, guidelines, and processes within your team. Experience and Qualifications: 10+ years for Master's (7+ years for PhD) experience in applied machine learning with at least 4 years in a leadership/management role Ph.D. or master's degree in computer science, Machine Learning, Information Retrieval, Mathematics/ More ❯

Report on execution performance and provide insights to the Head of Quantitative Trading Mentor junior quantitative researchers and analysts on execution methodologies Qualifications Education & Experience Advanced degree ( Masters or PhD) in Mathematics, Physics, Statistics, Computer Science, Financial Engineering, or related quantitative field 3+ years of experience in execution algorithms, electronic trading, or related quantitative finance roles Proven track record of More ❯

team roadmap and longer-term strategy for behavioural signal development. About You MSc or equivalent industry experience in a relevant field (e.g. Computer Science, Engineering, Physics, Statistics). A PhD is welcome but not required. Experience delivering production-grade data science or engineering solutions, including design, implementation, and deployment Strong proficiency in Python and SQL, with practical experience in designing More ❯

가정에서의 희생을 감수해서는 절대 안 됩니다. 이것이 바로 우리가 근무 문화의 일환으로 유연성을 추구하기 위해 노력하는 이유입니다.직장과 가정에서 지지받는다고 느낄 때 클라우드로는 달성할 수 없는 것이 없습니다. BASIC QUALIFICATIONS - PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, OR Masters degree plus 10 years of relevant work experience More ❯

of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast More ❯

learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can More ❯

learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine Learning, AI, Operational Research, Statistics, or Mathematics. or equivalent. Have experience with a proven track record in client-interaction, can More ❯

evaluation/comparison of ML 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 learning, neural networks, and other More ❯

of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast More ❯

grades in Mathematics and other numerate A-levels. 2'1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering or Physics. A PhD or a research-based Masters is highly desired for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder should be able to identify More ❯

with data engineering practices using KDB+/q Practical knowledge of volatility trading and market microstructure in equity derivatives Some other highly valued skills may include: Master's or PhD in STEM (math, statistics, or computer science) Machine learning and optimization theory Knowledge of Python & Rust You may be assessed on key critical skills relevant for success in this role More ❯

engines and leverage third-party data enhancements. Collaborate with stakeholders to translate business challenges into data-driven solutions Reporting back and presenting to non-technical clients Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Communication skills – able to translate complex insights into business value Strong experience More ❯

postgresql or mysql Data Science techniques - Machine Learning, Artificial Intelligence, Statistical algorithms Cloud technologies - AWS or GCP What We'd Love: Experience of working across functional teams Masters or PhD in applied data science. Where You'll Be : London, UK. Flexible remote working policy. The Eutelsat Group treats the protection of personal data submitted to it seriously. By submitting this More ❯

PREFERRED QUALIFICATIONS - Experience with modeling 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 your experience and skills. We More ❯

the user interface affect customer choice behaviour? The work you will do will have a direct, measurable impact on the bottom line of the company. Requirements: Masters Degree or PhD in Economics or Econometrics (preferred) Always curious and willing to learn new skills A problem solver with a deep analytical mindset Ability to think creatively and insightfully about business-relevant More ❯

market. Engage directly with clients to explain methodologies and results. Support API clients (pre- and post-sale) with onboarding and bespoke project implementation. Qualifications: Advanced degree (Master's or PhD) in quantitative finance, mathematics, computer science, physics, statistics, econometrics, or a related discipline. Minimum 5 years' experience in quantitative modeling roles within finance, preferably focused on fixed income analytics in More ❯