101 to 125 of 467 PhD Jobs in London

coding language. Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems. Preferred qualifications: Master’s or PhD in AI, Computer Science, or a related technical field. Experience designing end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct ...

technical audiences Strong communicator with the ability to influence both executive and technical stakeholders, and commercial awareness of engagement economics Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or related discipline Experience working within global delivery teams or a consulting/professional‐services environment Professional certifications such ...

looking for someone who combines strong semiconductor device knowledge with a practical, data-driven approach to electrical characterisation. Experience - Essentials Master's or PhD in Electrical Engineering, Microelectronics, Semiconductor Physics, Materials Science or a closely related discipline. 3+ years' experience in semiconductor device testing, reliability engineering, electrical characterisation or yield ...

push closer to physical limits of execution. Requirements Penultimate or final-year student pursuing a Bachelor’s, Master’s, or PhD in Engineering, Computer Science, Electrical Engineering, or a related field, on track for a 2:1 or above from a leading institution. We don’t fetishise grades, but they ...

into reliable software and AI-assisted capabilities. Minimum qualifications Bachelor’s degree + 8 years of related experience, Master’s + 6 years, or PhD + 3 years in Computer Science, Software Engineering, or a related technical field. Proven record as a Technical Lead or Lead SRE/Software Engineer ...

thoughtful technical debate. Not required, but it’s a plus if you also have: Experience with MLOps/LLMOps frameworks and best practices A PhD in Computer Science, Electrical Engineering or a related field. A background or work experience in life‐sciences, health‐tech, or other data‐intensive domains Benefits ...

into reliable software and AI-assisted capabilities. Minimum Qualifications Bachelor’s degree + 8 years of related experience, Master’s + 6 years, or PhD + 3 years in Computer Science, Software Engineering, or a related technical field. Experience as a Senior/Lead SRE or Software Engineer delivering distributed ...

academic and industry backgrounds. Education and Experience MSc in a technical field with 3 years of machine learning or model-building experience or a PhD with a similar focus Extensive knowledge of machine learning approaches, neural network architectures, training methods, and data preparation best practices Experience in applying machine learning ...

Master’s degree in a quantitative or business field plus 7+ years of post-graduate experience in advanced analytics and measurement; or a PhD in a relevant quantitative or business field plus 4+ years of post-graduate experience in advanced analytics and measurementExperience in marketing science, product strategy, advertising measurement ...

thoughtful technical debate. Not required, but it’s a plus if you also have: Experience with MLOps/LLMOps frameworks and best practices A PhD in Computer Science, Electrical Engineering or a related field. A background or work experience in life‐sciences, health‐tech, or other data‐intensive domains Benefits ...

best practices across the Platform Data Science organization. Support delivery of projects from research and experimentation through production deployment. Required qualifications Master’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field Experience in data science, machine learning, applied NLP, information retrieval, generative ...

forward with clarity and speed. What you’ll bring You combine deep machine learning knowledge with hands‐on software engineering. You will need: A PhD with 1+ year’s experience, or a Master’s degree with 3+ years’ relevant experience. Background in healthcare, pharmaceuticals or life sciences, including deploying agentic ...

heterogeneous datasets Develop simulation and testing environments for algorithm validation Contribute to the integration of models into the broader software platform Profile MSc or PhD in machine learning, artificial intelligence, computer science, applied mathematics, or a related field Strong experience developing machine learning models for time-series or sensor data ...

model development, evaluation, and deployment Excited by the pace, ambiguity, and ownership that comes with an early-stage start-up Bonus points: MSc or PhD focused on Machine Learning or a closely related field Previous experience within an early-stage AI start-up or high-growth technology company Why join ...

with the latest developments in AI and become an SME within the data science function Required qualifications, capabilities, and skills Advanced degree (MS or PhD) in a quantitative or STEM discipline or significant practical experience in industry. Commercial experience in applying NLP, LLM and ML techniques in solving high-impact ...

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. ...

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. ...

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. ...

candidates will have experience with datascience or machine learning, but ultimately, we’remore interested in how you think and learn thanwhat you currently know. PhD or other researchexperience is a plus. If you’d like to learn more, you can read aboutour interview process and meet some of the team ...

including anisotropic, composite or nonlinear materials Strong mathematical and technical problem-solving ability The ability to independently lead complex technical and research problems A PhD in CFD, FEA, Applied Mathematics or a closely related discipline would be highly relevant, although candidates with equivalent high-level industrial experience will also ...

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. ...

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 ...

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 experience Proven experience profiling, benchmarking and optimising large-scale LLM inference workloads A scientific, evidence‐led approach to performance optimisation ...

live markouts. Build reusable training, checkpointing, evaluation, and model-serving components with ML infrastructure engineers. Required Qualifications, Capabilities, and Skills Advanced degree (Master's, PhD, or equivalent experience) in machine learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field. Demonstrated experience pre-training a large model ...