151 to 175 of 1,615 PhD Jobs in England

agile teams using live whiteboarding and collaborative problem-solving to build high-performance data products.What We're Looking ForAcademic Background: Degree, Master's, or PhD in Data Science, Mathematics, Operational Research, Physics, Statistics, or a related quantitative field.Core Technical Stack: Hands-on proficiency with Python, SQL, and Excel, alongside exposure ...

days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) in Computer Science, or related technology/engineering discipline. Preferred Qualifications: Experience in developing agentic solutions using Cline, Claude, GitHub Copilot, Power Automate etc. Experience ...

machine learning and deep learning methods Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant ...

these days will be confirmed by your Hiring Manager. QualificationsBasic Qualifications: Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) in Computer Science, or related technology/engineering discipline. Preferred Qualifications: Experience in developing agentic solutions using Cline, Claude, GitHub Copilot, Power Automate etc. Experience ...

alerting, checking in code, code review, documentation).Present results to peers and senior management. Actively contribute to improve developer velocity. Mentor others. QualificationsEssentialMSc or PhD degree in a quantitative field. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products ...

impact within real-world applications. To be successful in the Higher Scientist role, you will have the following skills and qualifications: Education PhD (desirable)/Bachelor/Master's in computer science, software engineering, physics, mathematics or an applicable scientific/technical field Proficient An object-oriented programming language, e.g. ...

agentic techniques - enabling the next generation of AI-powered products, agents, automation, and personalisation. We're excited about you because... BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of ...

full model lifecycle, from research and development through to implementation and production support What We’re Looking For Strong quantitative background (Master's/PhD) in Mathematics, Physics, Engineering, Computer Science, Quantitative Finance, or a related discipline Experience developing quantitative models and analytics within a financial markets environment Strong Python ...

looking for? Essential for the role: A Master's degree in a highly quantitative field (mathematics/statistics/computer science, etc.). A PhD is desirable but not essential. Strong theoretical grounding in statistics and machine learning, with the ability to engage with the methodology behind advanced data science ...

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 ...

of shared frameworks, standards and tooling across projects. Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential • PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. • Extensive years of experience in machine learning ...

Communicate technical trade‐offs, risks and progress clearly to both technical and non‐technical stakeholders. Knowledge, Experience and Qualifications Essential Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, or a closely related discipline, or equivalent research or industry experience. Established work experience in relevant field. ...

real-world trading features for the pleasure of top leading crypto firms in the space Qualifications Graduating class of 2029 pursuing a Masters or Doctorate degree in Computer Science or related field Programming Skills : Advanced proficiency in Python, with hands‐on experience in data science libraries (especially pandas ...

remote, cloud-based environments, e.g. AWS. Experience creating and working with containers, e.g. Docker, Singularity. Additional programming languages, particularly R or C++. A PhD or postgraduate degree in a scientific field, ideally genomics, bioinformatics or computational biology, with familiarity in statistics and machine learning. Prior experience working in a team ...

foster a culture of technical excellence, collaboration, and innovation through mentorship, internal community building, and knowledge sharing. Who you are You hold a PhD or Master’s degree in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative field You have a minimum of 10 years of experience ...

such as KServe, FastAPI. Ability to partner effectively with cross-functional teams to deliver measurable machine learning outcomes. Preferred qualifications Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Data Science, or a related STEM field. Experience applying Generative AI and LLMs to customer-facing products ...

maintaining data quality. Model training and optimisation: experience with pre‐training, fine‐tuning, distributed training, inference optimisation or adapting models for constrained environments. Education: PhD in AI/ML/CS or related field. Beneficial knowledge General tooling and platforms: Databricks, AWS, GCP, GitHub, Docker/Kubernetes, MLflow, Jira. Edge ...

such as KServe, FastAPI. Ability to partner effectively with cross-functional teams to deliver measurable machine learning outcomes. Preferred qualifications Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Data Science, or a related STEM field. Experience applying Generative AI and LLMs to customer-facing products ...

audiences. Represent the team in cross-functional planning and contribute to the broader Life Sciences data science and AI strategy. Requirements: Master's, or PhD in Computer Science, Data Science, Machine Learning, Statistics, Bioinformatics, Cheminformatics, Information Retrieval, or a related field, or equivalent practical experience. Significant experience in data science ...

models and data systems. Engage in innovative research in quantitative finance, advanced statistical techniques, and data science. Knowledge and Experience Advanced degree (MSc or PhD) in Mathematics, Statistics, Physics, Quantitative Finance, Data Science, or a related field. Experience in quantitative finance or data science within financial institutions preferred, with proven ...

performance. Identify opportunities to improve existing models, processes and analytical techniques. Communicate complex analytical findings clearly to technical and non-technical stakeholders. Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience ...

Python/Deep Learning/Machine Learning/NLP/Natural Language Processing/Computer Vision/Research/Post-Doc/Ph.D./DPhil/Computer Science/Mathematics/Physics/Engineering/Text Analytics/Speech processing/Software Engineer/Research/Researching/Journals/ ...

delivery of the production architectures for our solutions Required qualifications, capabilities, and skills Hands on experience in an ML engineering role Masters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Track record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling ...

performance. Identify opportunities to improve existing models, processes and analytical techniques. Communicate complex analytical findings clearly to technical and non-technical stakeholders. Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience ...

research activities, site visits, demonstrations, and collaborative engagements with consortium partners and stakeholders. ** Person Specification You will hold, or be nearing completion of, a PhD in Digital Construction, Computer Science, Civil Engineering, Building Engineering, Data Science, Artificial Intelligence, or a related discipline. You will have experience in BIM and digital ...