151 to 175 of 1,767 Permanent Algorithms Jobs

feedback and proposes improvements to architecture governance practices Creates secure and high-quality production code, and reviews and debugs code written by others. Maintains algorithms that run synchronously with appropriate systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene ...

performance, and loads Analysing large datasets from sensors, simulations, and operational logs to uncover valuable engineering insights Translating core engineering principles into data-driven algorithms and analytical tools Collaborating with product, analytics, and software teams to ensure seamless platform integration Training and validating models using both experimental and real-world ...

pipelines) and support initiatives for data integrity, normalisation and scalability. Build, deploy, monitor and maintain ML Models. Key use cases include feed optimisation, recommendation algorithms, classification tasks, predictive analytics and MLOps deployments. Continuously evaluate the effectiveness of our models and feed logic, providing recommendations for architecture improvements and performance optimisation. ...

Team, applying creative problem-solving to break down complex technical challenges and deliver scalable, reliable outcomes Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems, ensuring performance and stability at enterprise scale Produce architecture and design artifacts for complex applications while ensuring design constraints ...

build innovative solutions Define and lead technology and process implementations across groups to achieve firmwide objectives Create secure, high‐quality production code and maintain algorithms that run synchronously with systems Produce architecture and design artifacts for complex applications, ensuring design constraints are met Gather, analyze, synthesize, and develop visualizations ...

qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience Strong software engineering fundamentals - system design, data structures, algorithms, and architectural thinking - with the ability to ramp up quickly across varied tech stacks and project types Hands-on practical experience in full-stack ...

experience in implementing them in object-oriented fashion Experience designing fault-tolerant, multi-region deployments in cloud environments is a plus Familiarity with recommendation algorithms, ranking, personalization, or ML integration into production microservices Hands-on with Solr/Elasticsearch/OpenSearch for large-scale product search is a plus Strong ...

technology platforms and decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis-driven investigations to uncover actionable insights ...

equivalent In-depth knowledge of Capital Markets and Equity Market Microstructure Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis. Advanced proficiency in Python. Strong analytical, quantitative and problem-solving skills. Ability to translate business and quant requirements into scalable target ...

standard coding languages such as C++, Python, or Java, with a strong understanding of underlying computer architecture and system operations A solid grasp of algorithms, memory and concurrency models, CPU‐architecture, operating systems and relational databases Have an entrepreneurial attitude and an interest in the financial industry An analytical mindset ...

Electrical Engineering, or related field. 6+ years of strong C++ (14/17/20) development experience. Deep understanding of advanced C++, Python, OOP, algorithms, and system architecture. Experience and understanding of Power Systems concepts [Highly desired] Experience with numerical libraries, solvers, or scientific computing. Qt GUI or backend visualization ...

place for you. What you'll be doing Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical tools that make insight ...

business. Your work will contribute to optimizing processes and driving efficiency across the team.Job Responsibilities:Develop and implement advanced machine learning models and algorithms to address operational challengesDeploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimizationArchitect and oversee generative AI applications to automate ...

business. Your work will contribute to optimizing processes and driving efficiency across the team. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to address operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications ...

space.Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground ...

right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical tools that make insight easy ...

continual, iterative improvements for product teams Executes software solutions, design, development, and technical troubleshooting Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development ...

skills and ability to work in a fast-paced semiconductor environment. Nice to have Experience with semiconductor inspection tools , metrology systems , and image analysis algorithms . Knowledge of SCADA systems , HMI development , and industrial IoT . Knowledge of Python , C++ , and other languages. Experience with AI-assisted software development (preferably ...

large language models. Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow. Possess a strong foundation in data structures, algorithms, and software engineering principles. Exhibit excellent problem‐solving and analytical skills, with a proactive approach to challenges. Can work collaboratively with cross‐functional teams. Thrive ...

Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi‐modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems. ...

core Java, specializing in low‐latency, high‐throughput distributed applications. Profound understanding of software development fundamentals, data structures, design patterns, object‐oriented programming, and algorithms complexity analysis. Demonstrated experience with messaging technologies such as Solace, Kafka, etc. Practical experience with Chronicle and/or Aeron. Experience with distributed caching techniques. ...

accuracy, cost and latency. Understanding of AI governance, security, privacy, bias/fairness and emerging regulations. Machine Learning Mastery – profound understanding of ML principles, algorithms, frameworks, and training pipelines. Technical Proficiency – programming in Python, TensorFlow, PyTorch or similar; modern LLM/agent frameworks; cloud AI platforms (Amazon Bedrock, Azure OpenAI ...

Team, applying creative problem-solving to break down complex technical challenges and deliver scalable, reliable outcomes Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems, ensuring performance and stability at enterprise scale Produce architecture and design artifacts for complex applications while ensuring design constraints ...

field.Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment.Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines.Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written ...

AXIS’ next-generation pricing and exposure management systems. What will you do in this role? Responsibilities include: Implementing and maintaining actuarial methodologies and modelling algorithms Enhancing, maintaining, and supporting existing modelling applications Interacting with actuaries, exposure managers and an analytical oriented user group for requirements gathering Interact with IT professionals ...