17 of 17 Applied Mathematics Jobs

debug source code to support long-term, commercial software programs. Apply principles in advanced continuum mechanics, numerical methods, materials science, and applied mathematics to solve unique problems using the modern Fortran programming language. Build and apply skills to support contract research programs, develop new technology areas … years: Experience and/or training in fracture mechanics, fatigue crack growth assessment, continuum mechanics, materials science, applied mechanics, applied mathematics, and mechanical behavior of engineering metals. 0-5 years: Experience and/or training in software development processes for scientific computing, including version control ...

depth, judgment, and evidence of exceptional work than credentials. You may have PhD-level training in machine learning, physics, biology, chemistry, applied mathematics, computational biology, or another systems-oriented discipline. You should have strong foundations in one or more of: applied mathematics, statistics, optimisation … probabilistic modelling, causal inference, dynamical systems, scientific ML, or related areas. You may also be an exceptional applied ML engineer without a PhD, with a track record of building models for complex real-world systems. Experience with biological data is useful, but not required. What matters most ...

foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record ...

Applied AI Scientist | Agents | Up to £120,000 | United Kingdom (Remote) We’re supporting a fast-growing UK technology scale-up that is hiring an Applied AI Scientist to join a highly capable technical team. This is a role for someone who enjoys working … team What we’re looking for You’ll likely bring : A strong academic background in a quantitative discipline such as Physics, Applied Mathematics, Statistics, Computer Science or similar Excellent Python skills for AI/ML development Hands-on experience with frameworks such as PyTorch, JAX, TensorFlow, Scikit ...

Requirements/h3 ul li Bachelor's, Master’s, or PhD or equivalent experience in Computer Science, Machine Learning, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field/li , li Significant professional experience (typically 7–12+ years) in AI/ML product development/management ...

/CD workflows Exposure to MLflow or similar model tracking/deployment tools Strong foundation in statistics, probability, linear algebra, and applied mathematics Experience delivering models such as: Churn prediction models Customer segmentation frameworks Next Best Action/propensity models Time series forecasting models About … equivalent experience in a highly quantitative discipline (e.g. Mathematics, Statistics, Physics, Computer Science, Data Science) Strong project capability with a hands-on technical mindset Comfortable working in fast-moving, agile environments Able to communicate insights clearly to both technical and non-technical stakeholders Collaborative, proactive, and delivery-focused Additional ...

manage risk with precision. At the core of our approach lies a belief that performance in financial markets can be achieved through logic, mathematics, and technology - not speculation. Our proprietary systems are designed to identify repeatable market patterns, optimize execution, and adapt to changing conditions in real time. … high-performance computing, we transform complex data into actionable insights. Our teams operate at the intersection of FinTech, research, and applied mathematics, bridging the gap between academic rigor and practical implementation. We continuously refine our strategies through extensive backtesting, real-time validation, and iterative optimization. This ensures ...

Comfortable being the software person in a hardware company (substantial work is geometric and physical modelling) Nice to have: A degree in Computer Science, Mathematics, Physics, Mechanical Engineering, or Computational Engineering A Masters or PhD in computational geometry, applied mathematics, continuum mechanics, computer graphics … related discipline Self-taught engineers with a strong shipping record are equally valid Differential geometry, optimisation, or applied ML background Medical device software experience ...

documentation, and design reviews. Essential Experience & skills: Master's degree, PhD, or equivalent industry experience in Electrical Engineering, Communications, Signal Processing, Applied Mathematics, or a related discipline; strong practical experience developing and debugging DSP and wireless communication algorithms in real systems; strong proficiency in MATLAB, C/… software co-design; expertise in one or more of: digital signal processing; wireless PHY design; error-correcting codes; adaptive signal processing; machine learning applied to communications systems; experience conducting RF or over-the-air testing in laboratory environments; familiarity with Linux-based embedded development environments and real-time ...

offs, and recommendations clearly to technical and non-technical audiences. Requirements Experience 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 ...

large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision ...

large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision ...

collaborating closely with data engineers and data scientists to deliver robust analytical products. Skills/Knowledge Essential Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. ...

variety of engineering disciplines: control theory, software development, signal/video processing, pattern recognition, machine learning, artificial intelligence, high performance computing, applied mathematics, network/web services, and visualization. Support prototype evaluation, experimental operations at military facilities, and transitions of capabilities to government. Support system integration events ...

senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating ...

quality of your past research and any production impact it has had. Must Haves PhD in Machine Learning, Computer Science, Applied Mathematics, or a closely related field, with original contributions to deep learning, reinforcement learning, or generative models. Formal background in generative modelling — working knowledge ...

writing unit tests using JUnit and Google Test Frameworks Solid understanding of numerical methods and scientific computing principles Background in physics, applied mathematics, or engineering Experience in development with Fortran 90 Experience in SQL database development Experience using the Java Spring framework Experience working in the defence ...