1 to 25 of 32 Permanent Linear Algebra Jobs in London

cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation. A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environment. Good … cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation. A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environment. Good ...

experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn. Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus. Collaborative, humble and enthusiastic attitude. Preferred Qualifications, Capabilities and Skills Experience deploying on AWS cloud infrastructure using Lambda, Glue ...

/IP DNS NAT TLS/HTTPS Routing Load balancing Firewalls Congestion control Mathematics for Computing Logic Discrete maths Probability Statistics Graph theory Linear algebra Boolean algebra Combinatorics Proofs Number theory Distributed & Cloud Systems Replication Partitioning CAP theorem Event-driven architecture Idempotency Eventual consistency Queues & streams Serverless ...

Python are fundamental, alongside proficiency with ML frameworks like TensorFlow and PyTorch. Machine Learning Engineers need solid mathematics and statistics knowledge, particularly in linear algebra, calculus, and probability theory. Experience with cloud platforms (AWS, GCP, Azure) is essential for deploying models at scale. Skills in data preprocessing, feature ...

data pipelines and ETL processes, directly contributing to the team's delivery of secure and stable data architectures Applies advanced data modeling techniques, including linear algebra, statistics, and geometrical algorithms to solve real world business challenges and drive actionable insights Collaborates closely with cross-functional teams to integrate ...

with natural language processing technology, including LLMs and prompt engineering is a plus Strong quantitative skills with demonstrated understanding of mathematics, probability, statistics and linear algebra Nuanced understanding of economic and financial concepts and demonstrated intuition around applying these concepts in a quantitative environment Ability to work independently ...

software engineering experience, with strong CS fundamentals (data structures, algorithms, systems design) Demonstrated mathematical maturity — comfort with the concepts and notation used in statistics, linear algebra, optimization, and probability Deep proficiency in Python; experience with R and/or C/C++ is a strong plus Extensive experience ...

takes to move from concept to production A strong mathematical background; Good candidates will be excited about things like optimisation theory, regularisation techniques, linear algebra and the like A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with ...

cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation. A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environment. Good ...

Azure Event Hubs.* Experience in containerising models and deploying in Kubernetes.* Have experience implementing algorithms and data-structures.* Have a good knowledge of linear algebra, calculus, and discrete mathematics.After you submit your application, you will receive an email **from Shell** providing a link to an online assessment **(HireVue ...

trust in the analysis they produce based on the data our product line emits. Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way Implements database ...

trust in the analysis they produce based on the data our product line emits. Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way Implements database ...

with experience in either computer vision, foundation models, or 3D medical imaging. Deep understanding of machine learning theory and its background, including deep learning, linear algebra, probability theory, statistics and optimisation. Strong Python and PyTorch skills, with the ability to work confidently in model training and inference codebases. ...

problems. Advanced academic training in Statistics, Mathematics, Machine Learning, Data Science or a related discipline (PhD preferred). Deep understanding of probability, statistics, uncertainty, linear algebra and calculus. Extensive experience working with large datasets, data preparation and machine learning workflows. Proven experience applying classification, clustering, dimension reduction ...

problems. Advanced academic training in Statistics, Mathematics, Machine Learning, Data Science or a related discipline (PhD preferred). Deep understanding of probability, statistics, uncertainty, linear algebra and calculus. Extensive experience working with large datasets, data preparation and machine learning workflows. Proven experience applying classification, clustering, dimension reduction ...

risk with good understanding of risk modelling. Credit experience is preferred. Very good grasp and understanding of mathematical concepts like probability, statistics, stochastic calculus, linear algebra, Monte Carlo techniques. MSC in a related discipline Good knowledge of Python, SQL, Matlab, VBA. Good understating of financial products (Bonds, Derivatives ...

Electrical Engineering, Statistics, or equivalent fields. Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. ...

minimum of 2 years of commercial experience applying statistical modelling and machine learning techniques to real‐world problems. Solid grounding in probability, statistics, uncertainty, linear algebra and calculus. Experience working with large datasets, data transformation and cleaning. Experience with classification, clustering, dimension reduction and other machine learning methods. ...

minimum of 2 years of commercial experience applying statistical modelling and machine learning techniques to real-world problems. Solid grounding in probability, statistics, uncertainty, linear algebra and calculus. Experience working with large datasets, data transformation and cleaning. Experience with classification, clustering, dimension reduction and other machine learning methods. ...

experience in any language (preferably Python, but C, C++, Basic, JAVA, etc. are also a plus) Ability to apply concepts of probability, calculus and linear algebra Competitive attitude and eagerness to constantly improve Ability to learn quickly Excellent verbal and written English language skills WHAT ...

statistics, physics, computer science, electrical engineering or similar Exceptional academic record Strong programming ability in C++ or Python Rigorous grounding in probability, statistics and linear algebra Scientific scepticism, intellectual honesty and the ability to make progress on open-ended problems independently Preferred PhD in a quantitative discipline with ...

financial institutions, including global investment banks and multi-strategy hedge funds. Who will love this job A scientist – you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer – who has a passion for computer science, system performance, clean code and architecture ...

financial institutions, including global investment banks and multi-strategy hedge funds. Who will love this job A scientist – you are comfortable with numerical methods, linear algebra, partial differential equations, probability theory and statistics An engineer – who has a passion for computer science, system performance, clean code and architecture ...

enthusiastic to take on new problems across the full-stack as we continue to push technology forward. TPU team develops the Accelerated Linear Algebra (XLA) TPU parallelizing compiler used to partition, optimize, and run large-scale machine learning models across multiple TPU accelerators for internal (e.g. Google DeepMind ...

strong statistical foundation. Strong programming skills in Python, with the ability to develop efficient and scalable research tools. Solid understanding of applied statistics, linear algebra, and time series analysis. Experience working with large and complex datasets, including data cleaning, transformation, and analysis. Knowledge of financial markets ...