201 to 225 of 739 PhD Jobs in London

will have: Experience working in a sophisticated research environment, undertaking self-directed research in finance, technology or in a tenured academic positionA Masters or PhD degree in a highly quantitative subject, such as mathematics, statistics, computer science, physics or engineeringStrong programming skills in a least one programming languageA demonstrable track ...

procedures Required qualifications, capabilities, and skills Significant experience in AI and Data Science Demonstrated success managing and leading teams Master's degree or PhD in a quantitative discipline Expertise with modern artificial intelligence and machine learning algorithms, techniques, and software, applied to enterprise-scale solutions Hands-on experience with agentic ...

of experience in Python programming. 3 years of experience with ML frameworks such as JAX, PyTorch, or TensorFlow. Preferred qualifications: Master's degree or PhD in Computer Science, Engineering, or a related field with a focus on machine learning. Experience in Python and C++ for high-performance ML library development. ...

source control management, build and deployment processes, and testing. Proven track record operating successfully in a fast-paced, collaborative environment Preferred Qualifications MS or PhD degree in Computer Science, Engineering, or a related field. 5+ years of relevant industry experience Prior experience in developing products from concept to launch Experience ...

engineering skills and a scientific approach to performance. The ideal candidate will have the following skills and experience: A Bachelor's, Master's or PhD in computer science, or equivalent experienceProven experience profiling, benchmarking and optimising large-scale LLM inference workloadsA scientific, evidence-led approach to performance optimisation, using rigorous ...

engineering skills and a scientific approach to performance. The ideal candidate will have the following skills and experience: A Bachelor’s, Master’s or PhD in computer science, or equivalent experience Proven experience profiling, benchmarking and optimising large-scale LLM inference workloads A scientific, evidence‐led approach to performance optimisation ...

essential.* Proven academic excellence in the field.* A couple years experience with building production-grade models essential (MLOps).**Technical requirements*** Advanced graduate qualification (PhD or postdoctorate) in Machine Learning, Data Science, Statistics or Maths.* Strong Python coding experience/knowledge essential. Knowledge of git and CI/CD practices. ...

results to different audiences. Experience working in an interdisciplinary team across optics, engineering, neuroscience, clinical science, product development, or data science. Nice to have PhD in biomedical optics, medical physics, biomedical engineering, optical engineering, or a related discipline. Experience with diffuse correlation spectroscopy, near‐infrared spectroscopy, photoplethysmography, optical coherence tomography ...

ideal candidate will have the following skills and experience: Experience managing and developing engineersA strong background in computer science, such as BSc, MSc, PhD or equivalent experienceProven expertise in profiling, benchmarking and optimising distributed or large-scale workloadsProficiency in one or more programming languages, with strong grounding in algorithms ...

into clear reports, plots and customer-facing metrics What you'll bring A degree in geodesy, physics, maths, data science or similar (MSc or PhD preferred) Strong Python and the scientific stack (NumPy, pandas, SciPy) Solid statistics: estimation, time series and uncertainty Experience with large scientific datasets A habit of ...

input construction. Document data methodologies comprehensively to provide transparency and support for both internal and external validation processes. What you should have M.S. or PhD in mathematics, physical sciences, or engineering preferred Demonstrated expertise in quantitative and programming skills, with 3–5 years of experience in large-scale Python development ...

Master’s degree in Computer Science, Engineering, or related field with 4+ years of hands-on ML/AI engineering experience (or PhD with relevant experience).Strong Python development skills with proven backend engineering experienceHands-on experience building agentic or LLM-powered applications beyond simple prototypesKnowledge of API design, asynchronous ...

starter who pays attention to detail and continuously explores modern machine learning tooling Not essential, but nice to have: A degree (BSc, MSc, or PhD) in Computer Science, Data Science, Engineering, or an equivalent technical field At least three years of professional experience operating as a Machine Learning Engineer ...

years of post-Bachelor’s relevant experience; or Master’s degree in a technical field + 4+ years of relevant post-grad experience; or PhD in a relevant technical field + 2 years of relevant experience Track record of successful projects showing computer vision skills in photon efficient or event ...

APIs for internal services, e.g. via FastAPI; Deploying containerised systems to production, in particular via Kubernetes. In addition, the following would be an advantage: PhD in Computer Science, Machine Learning, or a related field with a strong publication record in text analytics, representation learning, or applied predictive modelling. Practical experience ...

of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 1 year of experience in a technical leadership role. Experience with hardware/compiler co-design ...

engineering, distributed training and biomedical AI tooling Required Qualifications Postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; PhD preferred or MSc with equivalent industry experience Hands-on experience with deep learning and foundation model implementations such as transformers, pre-training and fine-tuning Some ...

experience building and deploying machine learning or AI systems for real-world, production use cases. Strong engineering fundamentals, supported by a Master’s or PhD degree in Computer Science, Machine Learning, AI, or equivalent practical experience.. A deep, hands‐on understanding of retrieval systems, RAG, embeddings, vector indexing, knowledge representation ...

phenotypic or other genomic data. Communicate recommendations to scientific and non‐scientific stakeholders, clearly distinguishing evidence, assumptions, uncertainty, tradeoffs, and next steps. Required qualifications PhD or equivalent experience in human genetics, statistical genetics, bioinformatics, computational biology, or genetic epidemiology. At least 3 years of biotechnology or pharmaceutical industry experience with ...

statistics, or other modelling approaches.You've worked with large-scale transactional or financial data before.You've worked in ML infrastructure or MLOps.You hold a PhD you completed while researching model architectures or algorithms.Things you should know before applyingWorking together: we value co-located teams; most teams currently meet ...

data domains including clinical, regulatory, safety, product, and commercial data. Experience applying AI, GenAI, or Agentic AI within Life Sciences organizations. MBA, MSc, PharmD, PhD, TOGAF, or equivalent advanced qualifications. Strong analytical, stakeholder management, and problem-solving skills About your team Join our growing Life Sciences practice and make ...

line with academic and institutional standards. Review and update existing module materials as required. What you bring to the table: A PhD, Master's degree, or substantial industry experience in a relevant computing discipline. Experience teaching and learning within the UK Higher Education sector. Proven subject-specific teaching experience ...

knowledge sharing, and contributions to the broader security communityMinimum Qualifications:B.S. or M.S. in Computer Science, Cybersecurity, or related field, or equivalent experience. OR PhD + 2 years of hands-on security engineering experience5+ years of hands-on security engineering experience in one or more domains: detection engineering, threat intelligence ...

of 7 years of related experience with a Bachelor's degree; or 5 years and a Master's degree; or 4 years with a PhD; or equivalent work experience. Proficiency in programming languages such as C++ and Python, and familiarity with real‐time operating systems (RTOS). Proficiency in Linux ...

modelling approaches. You've worked with large-scale transactional or financial data before. You've worked in ML infrastructure or MLOps. You hold a PhD you completed while researching model architectures or algorithms. Things you should know before applying Working together: we value co-located teams; most teams currently meet ...