15 of 15 Remote/Hybrid Applied Mathematics Jobs in the UK

biology technologies; contribute to scientific publications; and present results at internal and external scientific conferences.Requirements:Ph.D. in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field. Candidates with MSc in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field, with ...

marketing effectiveness/MMM and analytics/data science· Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field.· Strong proficiency in Python, R, SQL, or similar tools.· Experience with Databricks, Azure, or other cloud/data platforms ...

audiences, translating complex analytics and AI/ML concepts into clear, layman’s terms.QualificationsMinimum Requirements3–5+ years of experience in data science or applied machine learning, preferably in infrastructure, environmental, or urban development sectors.Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL, with experience … infrastructure and environmental projects.Experience mentoring and coaching technical teams, promoting collaboration and innovation.Preferred QualificationsMaster’s degree in Computer Science, Statistics, Applied Mathematics, or related field, with a focus on data science applications in infrastructure or environmental domains.Familiarity with time-series forecasting, optimisation, and causal inference, particularly ...

audiences, translating complex analytics and AI/ML concepts into clear, layman’s terms.QualificationsMinimum Requirements3–5+ years of experience in data science or applied machine learning, preferably in infrastructure, environmental, or urban development sectors.Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL, with experience … infrastructure and environmental projects.Experience mentoring and coaching technical teams, promoting collaboration and innovation.Preferred QualificationsMaster’s degree in Computer Science, Statistics, Applied Mathematics, or related field, with a focus on data science applications in infrastructure or environmental domains.Familiarity with time-series forecasting, optimisation, and causal inference, particularly ...

Modelling (MMM) and related marketing effectiveness methodologies. - Bachelor’s or Master’s degree (or equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. - Strong technical proficiency in Python, R, SQL, or similar analytics tools; experience with Databricks, Azure ...

Technical Skills· Experience in econometrics, MMM, or marketing effectiveness.· Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field.· Proficient in Python, R, SQL, Excel, and visualisation tools; experience with Databricks, Azure, or other cloud/data platforms ...

results and incremental revenue generation.Ideation, design, and execution of next-generation investment management capabilities.QualificationsRequired:B.S. in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field).Expert-level proficiency in programming languages (R or Python) and experience applying these to agentic AI systems (e.g., LangChain, AutoGen ...

insights, trade-offs, and recommendations clearly to technical and non-technical audiences.RequirementsExperience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area.Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google’s Gemini, including ...

ready data.Contribute to scientific publications and present results at internal and external scientific conferences.Requirements:Ph.D. in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field.Strong experience in one or more of the following areas: generative AI, biomedical foundation models, geometric deep learning, multi-modal learning ...

frameworks for Software development and experience with AI-native solutions using context engineering techniques.A degree in quantitative subjects such as Engineering, Applied Mathematics, Physics, Software EngineeringSkills desired:Experience with real-time streaming analytics tech like Kafka/FlinkExperience with cloud container technologies, e.g. AWS, Azure, GCP, Docker ...

radar, signal processing, algorithm development or modelling and simulationProven ability to lead complex technical work packages or projectsStrong background in applied mathematics and physicsCoding experience in MATLAB or other languages such as Python or C++Experience working with customers and stakeholders, influencing technical decisionsDemonstrable mentoring or technical leadership … experienceEssential qualifications for the Senior Scientist:Degree in Science or Engineering (Physics, Mathematics or similar)Substantial relevant industry or research experience We value difference and we don’t have a fixed idea when it comes to background or education, provided you can show the required level of experience ...

hold, or be close to completing, a PhD in a relevant discipline (such as Mechanical Engineering, Aerospace Engineering, Physics, Computer Science, Applied Mathematics, or a related field).You should have a strong background in one or more of the following areas: machine learning, CFD, turbomachinery, and fluid ...

research direction and technical strategy.What we are looking forA PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field.Evidence of original research through strong publications, patents, open-source work, prototypes, or other meaningful technical contributions.Strong hands-on ability ...

research direction and technical strategy.What we are looking forA PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field.Evidence of original research through strong publications, patents, open-source work, prototypes, or other meaningful technical contributions.Strong hands-on ability ...

combine software with algorithms used for RF hardware, which means real world applications and sound software engineering practices with a strong aptitude for applied maths. Their algorithms may arise from maths models or signals from early prototypes, they all need to be understood and best utilised … resultant software.Requirements:Extensive demonstrable experience (applied to industry) for software projects related to hardware products (ideally a smart RF device). This should include familiarity with a range of software languages and technologies including Python (and possibly C or C++).Experience with hardware based algorithms and implementation ...