|
|
5 of 5 Remote Applied Mathematics Jobs in the UK
London Area, United Kingdom Hybrid / WFH Options AMLZ Recruiting
trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling. • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring. • Work with data engineering to ensure data quality, reliability, and efficient pipelines. • Deliver predictive, recommendation, or optimization … and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced … analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders is a plus. • English is the working language; additional languages More ❯
City of London, London, United Kingdom Hybrid / WFH Options AMLZ Recruiting
trials. Compensation is competitive, and additional allowances apply for any agreed on-site participation. Key Responsibilities • Conduct research and hands-on development in data mining, machine learning, and applied modeling. • Own the model lifecycle: data preparation, training, evaluation, deployment, and monitoring. • Work with data engineering to ensure data quality, reliability, and efficient pipelines. • Deliver predictive, recommendation, or optimization … and uphold high standards in Python, using TensorFlow or PyTorch in production contexts. Your Profile • Ideally holding a Ph.D. in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, AI/Data Science, IT (or related field), or equivalent industry experience. • Ideally 3+ years of relevant experience in AI/ML, computer vision, recommendation/optimization, or advanced … analytics (industry or research). • Proficient in Python; familiarity with data pipelines (e.g., Spark) and modern development practices. • Foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra). • Experience moving models to production (MLOps, CI/CD, monitoring) or exposure to computer vision/NLP/recommenders is a plus. • English is the working language; additional languages More ❯
City of London, London, United Kingdom Hybrid / WFH Options Swissblock Technologies AG
in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL More ❯
London Area, United Kingdom Hybrid / WFH Options Swissblock Technologies AG
in a business driven environment Build and extend knowledge of financial instruments Minimum qualifications B.Sc. in Computer Science or similar field involving coding (e.g. physics or applied mathematics) Algorithms, data structures, complexity analysis and software design Hands-on senior level experience in Python programming Unix based systems, containerized environments and Kubernetes Working experience with databases: relational, NoSQL More ❯
Greater London, England, United Kingdom Hybrid / WFH Options Understanding Recruitment
ML models that power operational decision-making Continuously improve model accuracy, speed, and scalability What They’re Looking For: Strong background in data science, statistics, or applied mathematics (advanced degree preferred) Proven experience with time-series forecasting and real-time data environments Skilled in Python and familiar with cloud-based tools such as GCP and Docker Strong More ❯
|
Salary Guide Applied Mathematics - 10th Percentile
- £107,715
- 25th Percentile
- £111,250
- Median
- £112,500
- 75th Percentile
- £113,750
- 90th Percentile
- £145,000
|