1 to 25 of 318 Permanent Algorithms Jobs

cost-effectiveness. • Apply critical thinking to analyse requirements, architect solutions, and troubleshoot complex technical challenges • Develop and maintain comprehensive documentation for AI solutions, algorithms, and engineering processes • Evaluate and integrate third-party AI tools and libraries as needed, applying rigorous software engineering standards • Optimise and fine-tune generative models ...

Supply & Trading, Trading Analytics organization, working alongside Quantitative Analytics, Data Strategists, Market Intelligence and Core Strategists. United by a shared focus on data, numerical algorithms and advanced technology, the team delivers models, tradable insights, distinctive datasets and agile technology solutions that empower analysts and strengthen commercial performance. Quantitative Developers provide ...

products. Required Qualifications Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience Strong background in Computer Science fundamentals including algorithms, data structures, computational complexity. Non-Technical Skills Excellent communication skills and teamwork is a must Experience collaborating efficiently within a global team. Demonstrable experience ...

have advanced analytical and problem solving skills with a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Deign Patterns, Algorithms You have commercial Golang development experience (likely to have a background with other OO languages such as Python, Java, C++ but you must be happy ...

have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What ...

including an understanding of neural networks, transformers, and autoencoders, and experience with frameworks like TensorFlow, Keras, or PyTorch. Good understanding of common machine learning algorithms and a proven ability to teach and mentor junior data scientists. You are creative, organised, self-motivated, and able to drive ambitious data science projects ...

architectural roadmap, whilst looking to optimize away manual inefficiencies. Example projects: The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. ...

optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning architecture Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such as: CNNs for vision use cases RNNs/ ...

optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/ ...

degree in Computer Science or closely related field. 3-5 years of functional programming (preferably Clojure) Strong CS skills such as data structures, algorithms, and problem solving. Build and CI tools such as git, Gradle, Leiningen, Clojure deps, CircleCI or Jenkins. Solid familiarity with Linux based operating systems such ...

paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve ...

organisations wider data and AI strategy. Role Responsibilities Collecting, cleaning, validating, and preparing data from multiple sources Designing and implementing data models and algorithms to address business challenges Building, testing, and deploying predictive analytics and machine learning solutions Visualising data and communicating insights clearly to technical and non-technical stakeholders ...

regular progress updates and conduct technical reviews of test activities and results. Qualifications Domain Expertise Deep understanding of firmware, operating systems, applications, networks, encryption algorithms, and access control models. Proficiency in coding languages: Assembly, C, C++, Java, C#, .NET, Python. Expertise in operating systems (Linux, Windows), databases (MS SQL, MySQL ...

have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What ...

scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management. Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence. Work ...

deliver high-impact, data-driven solutions. Key Responsibilities Develop data pipelines , machine learning , and optimisation models in Python Build and industrialise ML/optimisation algorithms using best-practice software engineering principles Implement automated data cleaning pipelines and workflow orchestration (e.g. Dagster) Integrate ML/optimisation models into full product stacks ...

optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning architecture Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such as: CNNs for vision use cases RNNs/ ...

Master’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field Strong foundations in machine learning, algorithms, and statistics Experience with Python and common ML libraries (e.g. TensorFlow, PyTorch, scikit-learn) Understanding of software engineering fundamentals and version control (e.g. Git) Ability ...

best practices across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What ...

have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What ...

solutions. Desired Skills: • DevOps experience including CI/CD pipelines to build, test, deploy. • Experience with training deep neural networks and other AI algorithms • Experience with Java and JavaScript • Familiarity with high-performance computing • Familiarity interfacing with databases (Oracle, MongoDB) Security Clearance Statement: This position requires a government security clearance ...

review standards, and system architecture. Basic Requirements Software Engineering Foundation: B.S. in Computer Science or Electrical Engineering with a strong grasp of data structures, algorithms, and design patterns. Advanced Coding: Proficiency in Java, Python, C#, or C++. You should be comfortable contributing to a production codebase, not just writing scripts. ...

customers and translating requests into prioritized work or features Expertise in applying risk identification techniques to develop security solutions Experience and understanding of Cryptographic algorithms, standards, implementation and application Experience and understanding of threat modeling, penetration testing, reverse engineering and attacks on software Experience working with large enterprise customers ...

systems at scale - e.g., Chef, Puppet, Terraform, Ansible, CloudFormation or others. Certifications in Istio, Kubernetes, Google Cloud, and/or other technologies. Experience with algorithms, data structures, complexity analysis, distributed systems and software development. A BS, MS, or Ph.D. in engineering or related technical field (or equivalent work experience).Unleash ...

date with industry trends and emerging technologies Skills Needed 3+ years of experience in data science or related field Strong knowledge of machine learning algorithms and statistical modeling Experience with programming languages (Python, R, SQL) Strong understanding of data visualization tools (Tableau, Power BI) Experience with big data technologies (Hadoop ...