1 to 25 of 1,453 Algorithms Jobs

techniques, and best practices in LLMs, RAG, GenAI, model development & evaluation techniques and proactively apply new knowledge to drive innovation. About You Knowledge Strong foundation in core machine learning algorithms and deep learning concepts (e.g., Neural Nets, CNNs, GANs, RNNs, Transformers). In-depth understanding of natural language processing (NLP) model development and large language model (LLM) fine-tuning, evaluation More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit More ❯

structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. Writing and optimising complex More ❯

structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. Writing and optimising complex More ❯

structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. Writing and optimising complex More ❯

structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. Writing and optimising complex More ❯

drive continuous improvement.Desirable Extensive experience of developing complex modelling applications in an underwriting environment Working knowledge and experience of Python - developing applications for pricing and modelling to implement pricing algorithms; Cloud development + Familiarity with Docker and Kubernetes. + Proficiency in AWS or Azure; Knowledge of design patterns and able to implement where appropriate; Working knowledge of software delivery and More ❯

entire ML lifecyclefrom problem framing, data exploration, and feature engineering to model training, validation, deployment, and monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep Learning, Graph Analytics, Reinforcement Learning) for use cases such as fraud detection, credit scoring, algorithmic trading, customer segmentation, and sentiment analysis. Stakeholder Management: Collaborate closely More ❯

including Spring Boot Proficient in writing maintainable code in multiple languages such as HTML, Java, and JavaScript/TypeScript, with a solid understanding of data structures, design patterns, and algorithms Experience with public cloud technologies, as well as a passion for automation and familiarity with CI/CD tools like GitLab Strong practitioner of DevOps practices, utilizing relevant tooling to More ❯

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

and complex datasets (structured, semi-structured, unstructured) to derive features and insights, applying advanced ML/AI techniques (deep learning, NLP, CV, generative models, reinforcement learning) as appropriate.Choose appropriate algorithms and frameworks (supervised, unsupervised, deep neural networks, transformer architectures, etc, implement, fine-tune and optimize for latency, throughput, cost, accuracy, and bias/robustness.Deploy solutions into production in cloud and More ❯

years of programming experience with an Object-oriented language (preferably Java), Multi-Threading and any relational database Solid architectural understanding of enterprise applications Understanding of computing science fundamentals - concurrency, algorithms, data structures, design patterns, etc. Preferred Experience with Java Core, Spring framework and Linux Experience developing large financial software trading systems with substantial hands-on development experience in building systems More ❯

solve complex challenges, and deliver impactful solutions that build tomorrows worldtoday. Job Description Join our team to help deliver fast-paced, high-impact Defence software solutions that translate complex algorithms into operational capabilities. Youll work closely with algorithm engineers to integrate mathematical and software models into production-ready, reliable, and maintainable systems. This is a unique opportunity to apply your More ❯

solve complex challenges, and deliver impactful solutions that build tomorrows worldtoday. Job Description Join our team to help deliver fast-paced, high-impact Defence software solutions that translate complex algorithms into operational capabilities. Youll work closely with algorithm engineers to integrate mathematical and software models into production-ready, reliable, and maintainable systems. This is a unique opportunity to apply your More ❯

products help solve Boeing's most challenging problems across Commercial Airplanes, Defense Space & Security, and Global Services businesses. Position Responsibilities: Leads activities to develop, document and maintain architectures, requirements, algorithms, interfaces and designs for software systems Leads development of code and integration of complex software components into a fully functional software system Develop software verification plans, test procedures and test More ❯

products help solve Boeing's most challenging problems across Commercial Airplanes, Defense Space & Security, and Global Services businesses. Position Responsibilities: Leads activities to develop, document and maintain architectures, requirements, algorithms, interfaces and designs for software systems Leads development of code and integration of complex software components into a fully functional software system Develop software verification plans, test procedures and test More ❯

design patterns such as MVC, MVP, object-oriented, etc. which involve structuring applications into distinct components to ensure clean architecture, maintainability, and scalability. Utilize proper data structures and design algorithms to provide efficient solutions for projects needs. Improve application performance by identifying and implementing optimizations where necessary/applicable. 9. Use observability tools such as Splunk and Dynatrace to resolve More ❯

experienced engineers, works independently and in collaboration with others on multiple projects which are complex in scope. This role applies deep knowledge of advanced artificial intelligence and machine learning algorithms and models to solve problems involving biological, genomic, clinical and healthcare data within a setting of advanced cancer screening and precision oncology. This role is involved at every step of More ❯

ML instrumentation to extract insights and 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/B tests and communicate results More ❯