51 to 75 of 261 Distributed Computing Jobs in the UK

Ability to work with ambiguity and own problems end-to-end A passion for writing high quality code and building lean processes Experience with distributed data processing Experience with monitoring, testing, and data quality Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints … would be helpful to have experience/expertise/knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Things to note ...

Quickly understand complex systems/code and own key pieces of the system, including the delivered quality* Diagnose and troubleshoot complex problems in a distributed computing environment* Establishes the best practices in area of quality, performance & architecture inside the team* Mentors Software Engineers & Senior Software Engineers and provide … Cloud composer, AI PlatformAbout You* A desire to build products that solve complex technical problems for end users* 7+ years experience developing highly scalable, distributed applications, products and services in Java and Golang* Designing/developing REST, GRPC and GraphQL APIs* Working knowledge of SQL and No-SQL database ...

modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/ ...

expertise in writing complex Python scripts, with a particular focus on building and optimizing multi-threaded, multi-process, concurrent, and asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus.Good to have experience in designing and developing AI-powered solutions using Large ...

models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real-world business applications. Proven experience working with large datasets and distributed compute (Spark/Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost. Hands-on experience using enterprise-authorized ...

years of experience in software architecture (including 5+ years in AI/ML systems). Proven track record of designing and implementing large‐scale, distributed AI systems. Deep understanding of AI and machine learning (natural language processing, computer vision, predictive modeling). Extensive experience with cloud platforms (AWS, Google … model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias mitigation techniques. Familiarity with GPU acceleration and distributed computing for AI workloads. Career Growth and Impact: Technical Leadership and Innovation: Lead the architectural vision for a revolutionary Application AI platform. Opportunity to solve ...

software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large‐scale data systems ...

real-time, event-driven and agent-driven architecture. We are looking for a Senior Software Engineer to help design and build the backend services, distributed systems and cloud infrastructure behind it. This is a hands‐on software engineering role with end‐to‐end production ownership. You will work directly … operating at scale. Develop Event-Driven Architecture: Help move our architecture from scheduled pipelines towards real‐time services using messaging, queues, asynchronous processing and distributed workflows. Build Systems for AI Agents: Develop the production software required to run increasingly agent‐driven AI workflows, including state management, task execution, model ...

product strategy — providing architectural leadership across multiple initiatives, guiding engineering teams through complex design challenges, and driving innovation through modern cloud, AI, and distributed system architectures. You will collaborate closely with product managers, business stakeholders, UX teams, engineering leaders, and development teams to ensure scalable, secure, and maintainable solutions … Deep understanding of software architecture principles, design patterns, domain-driven design, and object-oriented design concepts. Proven expertise in microservices architecture, event-driven systems, distributed computing, and API-led integration. Strong working knowledge of enterprise integration patterns and RESTful API design. Experience designing modern web platforms utilising Angular ...

Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their … supportCollaborate with cross-function teams and demonstrate great communication skillsWe're excited if you have5+ years of experience in delivery multi-tier, highly scalable, distributed web applicationDeep understanding in software architecture, object-oriented design principles, and data structuresExtensive experience in developing microservices using Java, PythonGood experience in Test driven ...

Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their … supportCollaborate with cross-function teams and demonstrate great communication skillsWe're excited if you have5+ years of experience in delivery multi-tier, highly scalable, distributed web applicationDeep understanding in software architecture, object-oriented design principles, and data structuresExtensive experience in developing microservices using Java, PythonGood experience in Test driven ...

participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques)Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines …/CD, and code quality practices · Hands-on experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow. Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask)Excellent communication skills to collaborate with researchers and translate research ideas into robust ...

Azure, AWS, or Google Cloud.Background in deploying machine learning models into production environments (MLOps experience is advantageous).Hands‐on experience with big‐data or distributed computing tools such as Spark or Databricks.Familiarity with visualisation tools such as Power BI, Tableau, or Plotly.Industry experience in sectors such as retail ...

modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/ ...

/TypeScript, and modern frameworksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/ ...

performance optimization, cost management, scalability, and operational excellence Deep technical understanding of modern data platform architectures, including data lakes, data warehouses, Lakehouse architectures, and distributed computing frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics ...

including performance optimization, cost management, scalability, and operational excellenceDeep technical understanding of modern data platform architectures, including data lakes, data warehouses, Lakehouse architectures, and distributed computing frameworksExperience with enterprise-scale implementations of cloud-native data platforms such as Databricks and SnowflakeGood understanding of AWS data analytics services, including ...

Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector, FAISS), containerization and orchestration (Docker, Kubernetes), and distributed computing is advantageous.• Architecture Design: Ability to design end-to-end Generative and Agentic AI architectures that encompass data preprocessing, model selection ...

National Security customers, enabling downstream analytics and reporting. You’ll be working with diverse data sources (batch, streaming, real-time and unstructured), applying distributed compute techniques to handle large datasets.What You’ll Do• Data pipeline development - Data ingestion and pipeline orchestration design and tooling.• Database schema design/database ...

applications including RAG-based systems, summarization/extraction pipelines, chat/coplay experiences, and tool-using agents. Proven experience working with large datasets and distributed compute (Spark/Databricks or equivalent), with SQL fluency and an understanding of partitioning, performance, and cost.Hands-on experience using enterprise-authorized AI-assisted ...

multi-modal models, with a focus on speech generation. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to build machine learning models that deliver natural, expressive, and culturally appropriate speech experiences across multiple languages. You will design and conduct experiments, prototype new approaches … Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application Preferred Qualifications Experience using Unix/Linux Experience ...

Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- Experience in building machine learning models for business applicationPreferred qualification - Experience using Unix/Linux- Experience in professional ...

layered reliability platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. As a forward deployed function, we partner closely with Fleet, Infrastructure, and AI Platform teams to embed … related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing ...

fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that … PyTorch, Scikit-learn).Expertise in data manipulation, analysis, and visualization tools (e.g., Pandas, Matplotlib, Tableau).Experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing (e.g., Spark).Solid understanding of statistical analysis and hypothesis testing methods.Strong communication skills, with the ability to present complex data findings ...

libraries, such as NLTK, spaCy, or Gensim Strong understanding of data structures, algorithms, and software design principles Experience working with large-scale data processing, distributed computing, or cloud-based platforms (e.g., Hadoop, Spark, AWS) is highly desirable Familiarity with ESG investing principles and market trends is a plus ...