1 to 25 of 41 Remote/Hybrid Distributed Computing Jobs in England

Counterparty Credit Risk, PFE analytics, derivatives pricing, and cloud-based risk systems. You will be responsible for driving the technology roadmap, leading globally distributed teams, and delivering innovative solutions that support evolving business and regulatory requirements. This is a highly visible leadership position offering the opportunity to shape … scale technology transformation programmes. Key Responsibilities Define and own the strategic architecture and roadmap for the Credit Risk Analytics platform. Lead and manage globally distributed teams across onshore, nearshore, and offshore locations. Deliver complex risk technology programmes, ensuring successful execution against budget, timelines, and objectives. Act as the senior ...

involve you to:Collaborate with client stakeholders and internal teams to understand business requirements and translate them into robust AI solutions.Coordinate with distributed delivery teams across Deloitte’s wider network, helping to align delivery plans, technical outputs and client expectations.Design, develop, and implement end-to-end AI pipelines, including … learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies ...

learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms, deep learning architectures, and statistical modelling techniques.Cloud Platforms: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies … processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation ...

generative AI applications.Familiarity with web development technologies, such as HTML, CSS, JavaScript, and React.Proficiency in database management systems and SQL.Experience developing ETL pipelines using distributed computing and parallel processing frameworks, such as Spark.Knowledge of Data Architecture & Data Modelling techniques.Experience working with modern data & AI platforms such as Databricks ...

pipeline orchestration . Strong data modelling skills (Dimensional, ODS, Data Vault) and experience with data warehousing concepts. Experience working with large, complex datasets and distributed computing environments. Proficiency in SQL , version control (e.g. Git), and CI/CD pipelines . Familiarity with Agile delivery and DevOps practices (Azure ...

micro services Interest and ability to learn other coding languages as needed (eg.Python, Angular, React) Experience with dependency injection frameworks (eg.Autofac) Experience in distributed computing, machine learning, data science Experience with building data pipelines, data streaming applications Experience in, or enthusiastic, about motorsport What we can offer ...

Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large datasets using distributed computing (e.g. spark). Experience working with LLMs to deliver value in a commercial organisation, including how to manage and monitor LLM-based ...

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 ...

world’s most innovative companies, delivering extraordinary electronic products from chips to boards to systems for the most dynamic market applications including consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. At Cadence, we hire and develop leaders and innovators who want to make an impact … motorsport, electric vehicle, and renewable energy companies worldwide. As a Lead Software Engineer, you will work at the intersection of mathematical modelling, high-performance computing, and software engineering to create advanced simulation solutions for complex multi-physics systems. You will help design cutting-edge numerical solvers, GPU-accelerated computing ...

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 ...

Hands-on experience with foundational software engineering practices.Database Proficiency: Strong knowledge of SQL for querying and managing data.Scalability: Experience scaling computations using GPUs or distributed computing systems.ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).Soft Skills: Strong communication ...

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 ...

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 ...

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 ...

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/ ...

implement training methods for enhanced capabilities like instruction following and tool use Design and optimize data pipelines and training systems for large-scale distributed training Collaborate with cross-functional teams to integrate models into agentic AI systems Evaluate model performance and communicate findings to stakeholders Stay current with advancements … fields About you: You have a strong research engineer/scientist mindset with experience training and improving large language models at different scales in distributed computing settings whether that’s modelling, data collection, experimenting and ablating, implementing SOTA. Technical skills: You have strong programming skills in Python , Rust ...

models, representation learning, or foundation models. Strong understanding of modern deep learning architectures, particularly Transformers and large-scale representation learning techniques. Experience working with distributed computing environments, large datasets, and scalable training or inference systems. Knowledge of cloud platforms and modern MLOps practices. Excellent communication skills with ...

Hadean is a deep-tech company building cutting-edge distributed computing technology that powers scalable, secure, and interoperable digital environments. Our platform enables real-time simulation and training, mission rehearsal, command & control and digital twin capabilities - transforming the way defence, government agencies and enterprises plan, train, and make ...

across cross‐functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud‐based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

functional teams.> Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression.Desirable experience includes:> Cloud-based optimisation platforms and distributed computing.> Machine learning and hybrid optimisation approaches.> Simulation, reinforcement learning and advanced heuristic methods.> Commercial airline operations, crew planning systems or aircraft scheduling.> Aviation ...

across cross-functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud-based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

Poland; London, UK . Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in software engineering, focusing on backend architecture, distributed systems, and large-scale data processing. 5 years of experience with design and architecture; and testing/launching software products. Experience operating … massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes ...

best practices in your prior roles.Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)Experience working in a fast-moving tech company or startup.This role is a full ...

Work with data sets of varying degrees of size and complexity including both structured and unstructured data. • Piping and processing massive data-streams in distributed computing environments. • Implement batch and real-time model scoring. • Assemble large, complex data sets that meet functional/non-functional business requirements. • Apply ...