76 to 100 of 1,472 Algorithms Jobs

APIs and SDKs A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management We give back to the technology community and you can read more about our outreach More ❯

and management A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms We give back to the technology community and you can read more about our outreach at: Discover what makes Bloomberg unique - watch our for an inside look at our culture More ❯

evaluation of AI/ML models for fraud detection Analyse complex datasets to identify patterns, anomalies, and insights Collaborate with developers and data scientists to validate results and refine algorithms Assist in developing blockchain use cases and understanding smart contract workflows Build dashboards, reports, or data visualisations to communicate findings to stakeholders Contribute to research into emerging technologies and their More ❯

the latest trends in AI ML and Azure technologies Required Qualifications Bachelors degree in Computer Science Data Science Engineering or related field Basic understanding of machine learning concepts and algorithms Familiarity with Python or R for data analysis and model development Exposure to Microsoft Azure services especially Azure Machine Learning and Cognitive Services Strong analytical and problemsolving skills Good communication More ❯

security tools, processes, and controls (e.g., web apps, APIs, CI/CD integrations) Strong communication skills for advising and educating engineers on secure coding and remediation Knowledge of common algorithms and data structures for dealing with large quantities of data (e.g., building data-intensive systems) Experience analysing large datasets for security monitoring, detection, or incident response As part of this More ❯

Engineer, Generative AI, Applied Innovation Factory Google London, UK Apply Bachelor's degree or equivalent practical experience. 8 years of experience in software development and with data structures/algorithms in either (C, C++, Python, Java or Go). 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). More ❯

includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Linux and Windows software development experience 1+ years' experience with development, documentation, maintenance and testing of requirements, algorithms, interfaces and designs for software systems 1+ years' experience with Configuration Management Familiarity with Agile development practices using continuous integration and delivery Current Top-Secret SCI clearance Drug Free Workplace More ❯

Experience with risk management & AI governance frameworks in financial services preferred. Technical Skills: Proficiency in Python and SQL for data analysis and model development. Intermediate understanding of machine learning algorithms, statistical modelling, Gen AI solution architecture. Familiarity with AWS and Snowflake environments is highly desired. The role focuses on hands-on data analysis of structured & unstructured data & not necessarily model More ❯

includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Linux and Windows software development experience 1+ years' experience with development, documentation, maintenance and testing of requirements, algorithms, interfaces and designs for software systems 1+ years' experience with Configuration Management Familiarity with Agile development practices using continuous integration and delivery Current Top-Secret SCI clearance Drug Free Workplace More ❯

based models and AI solutions that directly deliver measurable value for their organizations. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience More ❯

requirements into initial design of software products Supports development, maintenance, enhancement and optimization of software products and functionalities for systems integrations Supports development, documentation and maintenance of architectures, requirements, algorithms, interfaces and designs for software products Supports debugging and resolution of issues identified to ensure the reliability and efficiency of software products Participates in handling user inquiries, troubleshooting technical issues More ❯

requirements into initial design of software products Supports development, maintenance, enhancement and optimization of software products and functionalities for systems integrations Supports development, documentation and maintenance of architectures, requirements, algorithms, interfaces and designs for software products Supports debugging and resolution of issues identified to ensure the reliability and efficiency of software products Participates in handling user inquiries, troubleshooting technical issues More ❯

our Nicosia office, we would love to meet you and discuss how you can contribute to our success! The role: Design, develop, and implement machine learning models and AI algorithms in alignment with project-specific objectives. Engage in active collaboration with cross-functional teams, including data scientists, engineers, and product managers, to comprehend business requirements and pinpoint AI application opportunities. More ❯

for the platform. Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Software Engineers. Position Responsibilities: Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software systems Develops and maintains code and integrates software components into a fully functional software system Develops and maintains software development plans, verification plans, test procedures More ❯

Familiarity with API gateways, microservice architecture, and asynchronous messaging patterns (e.g., queues, event buses). Programming Proficiency: Strong experience with C# and .NET frameworks. Solid understanding of data structures, algorithms, and programming principles. Experience working with other relevant languages such as Python, JavaScript, or TypeScript. System Design: Ability to design and implement scalable software systems. Familiarity with distributed system patterns More ❯

Familiarity with API gateways, microservice architecture, and asynchronous messaging patterns (e.g., queues, event buses). Programming Proficiency: Strong experience with C# and .NET frameworks. Solid understanding of data structures, algorithms, and programming principles. Experience working with other relevant languages such as Python, JavaScript, or TypeScript. System Design: Ability to design and implement scalable software systems. Familiarity with distributed system patterns More ❯

and Machine Learning Excellent software engineering skills with a strong knowledge of Python A keen interest and understanding of financial markets and instruments Relevant mathematical knowledge e.g. statistics, optimisation algorithms, linear algebra Advantageous Experience using GenAI to build agentic, knowledge processing, or automated coding tools Experience training or fine-tuning generative models Experience building tools and technologies within systematic or More ❯

such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. Work with Business Analysts to deliver against requirements and realise business More ❯

such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. Work with Business Analysts to deliver against requirements and realise business More ❯

such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. Work with Business Analysts to deliver against requirements and realise business More ❯

such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges and opportunities. Coach and mentor the team (including contractors) to improve development standards. Work with Business Analysts to deliver against requirements and realise business More ❯

requirements shape the practical aspects of PDK development Job Qualifications: BSc Hons (2:1), MSc or higher in computer science, engineering or related field Strong understanding of data structures, algorithms and databases Demonstrated proficiency in modern C++, debugging, and general software development skills Nice to have: Scripting language skills in one of: Lisp, Skill, Python, TCL Interest in digital or More ❯

You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas More ❯

learn, TensorFlow, PyTorch) Direct experience with GenAI/LLM technologies, including tools like Hugging Face, LangChain, OpenAI APIs, vector databases, and fine-tuning methods Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning), including model evaluation, explainability, and selection for business-critical use cases Strong hands-on experience with cloud infrastructure (AWS), containerization (Docker), and orchestration (Jenkins, Airflow) Proven More ❯

results and communicate insights to both technical and non-technical audiences. Responsibilities Work with cross-functional teams to identify business problems and translate them into data- driven solutions. Develop algorithms and statistical models to analyse and interpret complex data sets. Collaborate with software engineers to integrate models into the production environment. Communicate insights and results to technical and non-technical More ❯