1 to 25 of 36 Remote Applied Mathematics Jobs in the UK

an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets using SQL and Spark Have … cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation) MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a foundation in modelling and computer science is More ❯

of regression modelling, Bayesian inference, hierarchical models, and MCMC techniques. Proven ability to handle and analyse large, complex datasets using SQL and/or Spark. Solid knowledge of applied statistics, modelling techniques, and the … mathematical underpinnings of inference and simulation. Familiarity with cloud platforms (Azure preferred) and modern data science toolkits. Advanced degree (MSc or PhD) in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field. Preferred Attributes Strong foundation in optimization, simulation modelling, and decision analytics. Demonstrated ability to translate complex Bayesian models into strategic insights and More ❯

an expert in PyMc, Python and familiar with R programming for MMM Models Have in depth understanding of statistical modelling/ML techniques Experience with Regression based models applied to the context of MMM modelling Solid experience with Probabilistic Programming and Bayesian Methods Be an expert in mining large & very complex data sets using SQL and Spark Have … and cloud-based data science frameworks and toolkits. Working knowledge of Azure is Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation) #J-18808-Ljbffr More ❯

junior data scientists & apprentices Help building a culture of responsible AI, good governance, and ethics Qualifications & Skills MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science. At least 2-5 years of industry experience with developing machine learning models and creating More ❯

on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. Minimum of 2 years working in a Data Science related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space More ❯

in the role. Experience working as a Data Scientist, ideally on client-facing analysis or products. Degree (or equivalent) in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science, or Economics. Proficient using Python and/or R and SQL for the download, cleansing and analysis of data. Proficient in coding and creating insightful More ❯

which make sure our clients’ needs are met and the best technical solutions are adopted. Skills and experience required: Strong background in data science, computer science, applied mathematics, statistics, or another quantitative field. Experience using foundational Python data science libraries (e.g. pandas, numpy, scikit-learn, ...). Experience with SQL and working with databases like Postgres and More ❯

Security Clearance 4+ years in AI/ML engineering or data science roles, preferably in high-growth or research environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational Linguistics, or related fields (MSc/PhD preferred). Experience with computational linguistics is highly desirable. Proficiency in Python and ML libraries such as Hugging Face, PyTorch More ❯

Clearance 4+ years in AI/ML engineering or data science roles, ideally within high-growth or research-driven environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational linguistics or a related field (MSc/PhD strongly preferred). Any candidates with exposure to computational linguistics are highly desirable, either from a research academic or More ❯

Clearance 4+ years in AI/ML engineering or data science roles, ideally within high-growth or research-driven environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational Linguistics, or related fields (MSc/PhD preferred). Exposure to computational linguistics is highly desirable, from both academic research and commercial perspectives. Proficiency in Python and More ❯

and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Would Make You Stand Out A track record of successfully leading project initiatives and shaping technical … England, United Kingdom 1 week ago Research Engineer, ML, AI & Computer Vision London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 months ago Data Scientist (Applied Machine Learning) London, England, United Kingdom 1 month ago London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago Machine Learning Software Engineer, Research London More ❯

code optimization. Excellent communication and collaboration skills to interact with technical teams, business partners, and stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). . What Would Make You Stand Out: A track record of successfully leading project initiatives and shaping More ❯

Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelor's degree (master's or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out: Experience developing/integrating functionality for/in Document Management Systems and content management systems Experience supporting prototyping teams More ❯

and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor's degree in machine learning, computer science, data science, applied mathematics, or a related field (Master's or higher is strongly preferred). What Would Make You Stand Out: A track record of successfully leading project initiatives and shaping technical More ❯

Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. • Bachelor’s degree (master’s or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out: Experience developing/integrating functionality for/in Document Management Systems and content management systems Experience supporting prototyping teams More ❯

Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelor’s degree (master’s or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out: Experience developing/integrating functionality for/in Document Management Systems and content management systems Experience supporting prototyping teams More ❯

and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Would Make You Stand Out A track record of successfully leading project initiatives and shaping technical More ❯

prop) Strong understanding of European equities market microstructure Background in quantitative modelling, data analysis, or algorithm design MSc or PhD in a relevant field: Computer Science, Applied Mathematics, Statistics, or similar Desirable Experience: Experience with low-latency systems, high-frequency trading (HFT) or execution consultancy Exposure to Python for prototyping and data analytics Familiarity with distributed systems More ❯

Clearance 4+ years in AI/ML engineering or data science roles, ideally within high-growth or research-driven environments. Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational linguistics or a related field (MSc/PhD strongly preferred). Any candidates with exposure to computational linguistics are highly desirable, either from a research academic or More ❯

and collaboration skills, with the ability to interact effectively with both technical teams and business stakeholders. Bachelor’s degree in machine learning, computer science, data science, applied mathematics, or a related field (Master’s or higher is strongly preferred). What Would Make You Stand Out: A track record of successfully leading project initiatives and shaping technical More ❯

delivery. Skills and Experience Expertise in data science and machine learning techniques (supervised, unsupervised, deep learning); knowledge of generative AI is desirable. Strong knowledge of statistics, applied mathematics, and scientific analysis with proven experience in delivering organizational benefits. Proficiency in exploratory data analysis and handling large datasets. Experience with Machine Learning Ops and A/B testing. More ❯

larger Advanced Technology division , known for pioneering next-generation AI/ML capabilities for high-trust domains such as defence, space, and cyber. What You'll Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and … Translate academic thinking into robust, real-world solutions Author technical publications and contribute to patents where appropriate What You'll Bring PhD or equivalent experience in machine learning, applied maths, or related discipline Deep understanding of ML/AI applied to time-series/sensor data or decision systems Strong software prototyping skills, especially in Python More ❯

audiences. Foster strong partnerships with the Data Science & Digital Health team, collaborating on cross-functional projects to drive scientific innovation. QUALIFICATIONS Required: PhD in Physics, Neuroscience, Applied Mathematics, Computer Science, Statistics, Biomedical Informatics, or a related field with a focus on multi-modal neuroimaging and computational neuroscience. At least 2 years of progressive experience with prior application More ❯