1 to 25 of 32 Remote Distributed Computing Jobs

and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding of supply chain operations and the ability to apply data … synthesizing new algorithms and techniques Excellent communication skills Desirable Qualifications Master's or PhD level degree 5+ years of work experience in a data science role Proficient with cloud computing environments, Kubernetes, etc. Familiarity with Data Science software & platforms (e.g. Databricks) Software development experience Research and new algorithm development experience# Remote Type Hybrid Remote Skills to succeed in the More ❯

data security best practices Strong problem-solving skills, and the ability to think critically and analytically High experience in documentation and data dictionaries Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders Please can you send me More ❯

data security best practices Strong problem-solving skills, and the ability to think critically and analytically High experience in documentation and data dictionaries Knowledge of big data technologies and distributed computing frameworks such as Hadoop and Spark Excellent communication skills to effectively collaborate with cross-functional teams and present insights to business stakeholders Please can you send me More ❯

re looking for someone who; Has impactful experience deploying and maintaining ML systems in production, ideally in larger, mature organizations or teams operating at significant scale (e.g., web-scale, distributed systems, cloud-native environments). Brings expertise in MLOps: CI/CD pipelines, Docker, Kubernetes, workflow orchestration (Airflow, Prefect), and automation. Has experience across and understands the full ML … frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts and trade-offs to both technical and non-technical audiences. Is proactive, detail-oriented, and … have any of the following Bachelor's, Master's, or PhD in Computer Science, Engineering, Data Science, or a related STEM subject (with a focus on software development or distributed systems). 3+ years of experience as an ML Engineer, MLOps Engineer, Data Engineer, or similar, in a larger-scale, production-focused environment. Hands-on with model monitoring, observability More ❯

re looking for someone who; Has impactful experience deploying and maintaining ML systems in production, ideally in larger, mature organizations or teams operating at significant scale (e.g., web-scale, distributed systems, cloud-native environments). Brings expertise in MLOps: CI/CD pipelines, Docker, Kubernetes, workflow orchestration (Airflow, Prefect), and automation. Has experience across and understands the full ML … frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts and trade-offs to both technical and non-technical audiences. Is proactive, detail-oriented, and … have any of the following Bachelor's, Master's, or PhD in Computer Science, Engineering, Data Science, or a related STEM subject (with a focus on software development or distributed systems). 3+ years of experience as an ML Engineer, MLOps Engineer, Data Engineer, or similar, in a larger-scale, production-focused environment. Hands-on with model monitoring, observability More ❯

re looking for someone who; Has impactful experience deploying and maintaining ML systems in production, ideally in larger, mature organizations or teams operating at significant scale (e.g., web-scale, distributed systems, cloud-native environments). Brings expertise in MLOps: CI/CD pipelines, Docker, Kubernetes, workflow orchestration (Airflow, Prefect), and automation. Has experience across and understands the full ML … frameworks (PyTorch, TensorFlow, Scikit-learn). Is experienced with cloud platforms (ideally GCP: BigQuery, Vertex AI, Dataflow), but AWS/SageMaker or similar is also valued. Has operated in distributed computing environments, working with large datasets and parallelized processing. Can communicate technical concepts and trade-offs to both technical and non-technical audiences. Is proactive, detail-oriented, and … have any of the following Bachelor's, Master's, or PhD in Computer Science, Engineering, Data Science, or a related STEM subject (with a focus on software development or distributed systems). 3+ years of experience as an ML Engineer, MLOps Engineer, Data Engineer, or similar, in a larger-scale, production-focused environment. Hands-on with model monitoring, observability More ❯

drive innovation in training multimodal large language models (LLMs), video foundation models, and other advanced AI systems. These models will be optimized for both cloud-based deployments and edge computing environments, ensuring scalability, efficiency, and real-world applicability. You will report directly to senior leadership and play a pivotal role in shaping the company's AI strategy, from research … Scale the R&D team by recruiting top talent, fostering a collaborative culture, and implementing processes for efficient growth and knowledge sharing. Oversee scalable training pipelines, including data curation, distributed computing strategies, and hyperparameter optimization to handle massive datasets. Deliver high-quality, general-purpose models tailored to specific applications and use cases, ensuring they meet performance benchmarks for … deployments of AI models in datacenter and edge settings. Familiarity with ethical AI, bias mitigation, and regulatory compliance in model development. Strong programming skills in Python and experience with distributed systems (e.g., Kubernetes, Ray). Important information for candidates Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. More ❯

environment. Strong proficiency in AWS services, with a focus on data-related services. Advanced skills in Python programming for data processing and automation. Experience working with large datasets and distributed computing. Previous experience supporting major customers at the early stages of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing More ❯

environment. Strong proficiency in AWS services, with a focus on data-related services. Advanced skills in Python programming for data processing and automation. Experience working with large datasets and distributed computing. Previous experience supporting major customers at the early stages of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing More ❯

environment. Strong proficiency in AWS services, with a focus on data-related services. Advanced skills in Python programming for data processing and automation. Experience working with large datasets and distributed computing. Previous experience supporting major customers at the early stages of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing More ❯

environment. Strong proficiency in AWS services, with a focus on data-related services. Advanced skills in Python programming for data processing and automation. Experience working with large datasets and distributed computing. Previous experience supporting major customers at the early stages of projects. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills: Knowledge of data warehousing More ❯

financial products such as Fixed Income (e.g. ICMA Green Bonds Principles, ISO 14030, etc), Equities (e.g. SASB, GRI, IFRS), and EU Taxonomy, among others. Transformational Data Technologies Blockchain and Distributed Ledger Technologies - This should include well-known open-source projects like Ethereum as well as domain-specific ones like Corda R3. Artificial Intelligence - The increasing amount of data from … sectors such as Energy, Transport, Materials & Buildings, and Agriculture, among others could be collected in order to demonstrate the environmental impact of sustainable investments. Other aspects of Data and Distributed Computing - In order to handle the growing amount of data across the ESG investment spectrum, candidates should have a working knowledge of Cloud Infrastructure, Version Control (GitHub), DevOps … change and action network. One of the most important aspects of BCI's mission is to support legislators and policymakers to create an enabling environment for the adoption of distributed ledger technologies. To that end, this opportunity will ensure BCI is financially sustainable before we make the developing-country communities sustainable. What's in it for the volunteer? Your More ❯

solutions and manage pipelines that transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure More ❯

solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure More ❯

solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure More ❯

of 2 days a week on site. Role Overview: As an AI Engineer, you will be responsible for designing and developing intelligent agents capable of autonomous decision-making in distributed environments. You will leverage your expertise in Python and Spark to process large-scale data and use modelling techniques to enable complex agentic behaviours. Experience working with MCP servers … or similar distributed computing platforms is key. Key Responsibilities: Design and develop agentic AI systems that operate autonomously across diverse data sources and workflows. Implement scalable data processing pipelines using Apache Spark and Python. Build, train, and fine-tune advanced AI/ML models for agent reasoning, planning, and execution. Integrate solutions with MCP (Massively Concurrent Processing) servers … Scala-based implementations). Solid understanding and hands-on experience with modelling intelligent agents, including symbolic, neural, or hybrid approaches. Experience deploying to and managing workloads on MCP or distributed processing environments. Familiarity with libraries such as TensorFlow, PyTorch, LangChain, or Ray is a plus. Ability to write clean, efficient, and well-documented code in a collaborative environment. Desirable More ❯

AAD, Machine Learning). Candidate Profile Essential Skills & Experience: Strong programming skills in C++. Solid understanding of numerical methods such as Monte Carlo simulations and optimisation algorithms. Experience with: Distributed computing and inter-process communication Multi-threading programming Microsoft Office, VC++, VBA SQL databases (Access, Oracle) Web technologies (XML, XSLT) Proven ability to work independently and as part More ❯

AAD, Machine Learning). Candidate Profile Essential Skills & Experience: Strong programming skills in C++. Solid understanding of numerical methods such as Monte Carlo simulations and optimisation algorithms. Experience with: Distributed computing and inter-process communication Multi-threading programming Microsoft Office, VC++, VBA SQL databases (Access, Oracle) Web technologies (XML, XSLT) Proven ability to work independently and as part More ❯

AAD, Machine Learning). Candidate Profile Essential Skills & Experience: Strong programming skills in C++. Solid understanding of numerical methods such as Monte Carlo simulations and optimisation algorithms. Experience with: Distributed computing and inter-process communication Multi-threading programming Microsoft Office, VC++, VBA SQL databases (Access, Oracle) Web technologies (XML, XSLT) Proven ability to work independently and as part More ❯

AAD, Machine Learning). Candidate Profile Essential Skills & Experience: Strong programming skills in C++. Solid understanding of numerical methods such as Monte Carlo simulations and optimisation algorithms. Experience with: Distributed computing and inter-process communication Multi-threading programming Microsoft Office, VC++, VBA SQL databases (Access, Oracle) Web technologies (XML, XSLT) Proven ability to work independently and as part More ❯

AAD, Machine Learning). Candidate Profile Essential Skills & Experience: Strong programming skills in C++. Solid understanding of numerical methods such as Monte Carlo simulations and optimisation algorithms. Experience with: Distributed computing and inter-process communication Multi-threading programming Microsoft Office, VC++, VBA SQL databases (Access, Oracle) Web technologies (XML, XSLT) Proven ability to work independently and as part More ❯

AAD, Machine Learning). Candidate Profile Essential Skills & Experience: Strong programming skills in C++. Solid understanding of numerical methods such as Monte Carlo simulations and optimisation algorithms. Experience with: Distributed computing and inter-process communication Multi-threading programming Microsoft Office, VC++, VBA SQL databases (Access, Oracle) Web technologies (XML, XSLT) Proven ability to work independently and as part More ❯

in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers). Proficiency in programming languages such as Python. Experience with large-scale data processing and distributed computing. Strong analytical and problem-solving skills. Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. Experience leading research projects and mentoring junior scientists More ❯

Our client is seeking a Senior Technical Lead in Vienna to help shape the future of digital infrastructure. The role focuses on advancing cloud infrastructure and distributed computing, contributing to the development of one of the industry's most complex and impactful products. Aufgaben Define and drive system/software architecture and design principles for complex products Act More ❯

to Have Exposure to trading systems, market data, or algo/bot development Familiarity with numerical libraries (NumPy, Pandas, Numba, etc.) Understanding of version control, CI/CD, or distributed computing More ❯