1 to 25 of 38 Permanent Distributed Computing Jobs in England

Engineer (AWS, Python, C#/C++, CFD/FEA) Oxford - 3-4 days per week in office. £45000 - £68000 + Package. - Must have a Computing/STEM Degree (2:1 or higher). - Can work in their Oxford head office 3-4 days week. - Must have experience with …/Distributed Computing and Applied/Mechanical Engineering Your new company You'll be joining a cutting-edge engineering and technology organisation that has grown rapidly in the UK, now pushing into global markets. Formed by world leading experts in science/software the business is redefining ...

Senior Pipeline Engineer London, United Kingdom Posted 9 months ago Tech stack Python Distributed Computing Responsibilities Contribute to the evolution of our MetaHuman infrastructure architecture. Qualifications Expert-level Python programming skills with demonstrated experience building content creation pipelines Experience with distributed computing systems Compensation Competitive Role ...

into production‐level data processing pipelines. Proficient in day‐to‐day use of Python/Java/Scala. Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark. Expertise in data modeling, schema design, and data visualization tools. Experience working ...

expertise in Microsoft Azure cloud services — ADF, ADLS, Synapse, Purview. Databricks — Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large‐scale distributed computing and performance tuning. Microsoft Fabric — OneLake and DirectLake integration. Azure Synapse Analytics for enterprise‐scale data warehousing. Infrastructure‐as‐Code (Terraform ...

expertise in Microsoft Azure cloud services — ADF, ADLS, Synapse, Purview. Databricks — Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large‐scale distributed computing and performance tuning. Microsoft Fabric — OneLake and DirectLake integration. Azure Synapse Analytics for enterprise‐scale data warehousing. Infrastructure‐as‐Code (Terraform ...

analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine‐tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory ...

analytics Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine‐tuning techniques Familiarity with distributed computing frameworks (eg Spark) Knowledge of graph neural networks, reinforcement learning, or causal inference Experience with AI governance, model risk management, and regulatory ...

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 ...

surrogate modelling, anomaly detection), including MLOps, drift monitoring, and explainability. Knowledge of portfolio optimisation, hedging algorithms, execution analytics, and transaction cost modelling. Familiarity with distributed computing and market data tooling (e.g., kdb+/q, SQL), and performance engineering for large‐scale simulations. Contributions to research (internal notes, publications … patents, conference talks) and engagement with the open‐source scientific computing ecosystem. Benefits Competitive total rewards package including base salary, commission‐based pay, and discretionary incentive compensation. Benefits include comprehensive health care coverage, on‐site health and wellness programmes, a retirement savings plan, backup childcare, tuition reimbursement, mental health ...

mobile development, cloud, integration, security, etc. Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure Understanding of distributed computing paradigm and exposure to building highly scalable systems. Experience with platform modernization and cloud migration projects Expertise in Agile development methodologies like ...

Technical Expertise Recognised as an expert in Data Architecture, Modelling, Engineering, and Analysis at scale. Extensive expertise in architectural design and oversight of both distributed and non-distributed compute architectures, with deep proficiency in languages such as Python, SQL, Spark, and Scala. Deep understanding of architectural implementations ...

Technical Expertise Recognised as an expert in Data Architecture, Modelling, Engineering, and Analysis at scale. Extensive expertise in architectural design and oversight of both distributed and non-distributed compute architectures, with deep proficiency in languages such as Python, SQL, Spark, and Scala. Deep understanding of architectural implementations ...

product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with … scale projects across multiple sites internationally. Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between ...

deep semantic retrieval, and multi‐modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying GNNs, knowledge graphs, or graph embeddings ...

Experience with containerization and orchestration technologies, along with CI/CD platforms for automated deployment and integration Experience with big data processing frameworks and distributed computing technologies for handling large-scale data workloads Demonstrated ability to collaborate effectively with cross-functional teams, including product management, business stakeholders ...

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 … Search, Lens, and core Search. Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends ...

stories and epics. Solid understanding of IT fundamentals including Windows/Linux and general networking (TCP/UDP, multicast data delivery). Understanding of distributed server architectures. Desirable Knowledge Of Any (Beneficial): Understanding of ultra-low latency distributed computing environments. Familiarity with the FIX trading protocol ...

What you'll do Architect, develop, test, and debug scalable backend services for distributed systems. Lead and deliver on key non-functional requirements, including scalability, availability, performance, and security. Design, author, and maintain comprehensive unit, integration, and functional tests to ensure reliability and exceptional coverage. Create and contribute … ideally in product-driven companies. Solid programming fundamentals, excellent problem-solving skills, and expertise in system design. Deep understanding of concurrency, multi-threading, and distributed computing concepts. Experience building microservice architectures and developing RESTful APIs. Demonstrated analytical and reasoning skills, with the ability to visualize and simplify complex ...

cloud, or software to enterprise accounts preferred Deep understanding of the architecture, design and implementation of multi‐tiered client/server and web‐based computing solutions Prior experience in targeting new prospects and converting them into clients Contribute significant portions and/or lead responses to RFPs, RFQs … RFIs Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN) Linux, NFS file systems and Linux distributed network environment Familiarity with AWS, Azure, GCP a plus Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache ...

skills: Designing and building data-intensive applications and pipelines One or more programming languages, typically Python and SQL Some or all of the following: Distributed computing frameworks such as Spark or Databricks Cloud platforms such as AWS, Azure or GCP Orchestration tools such as Airflow Test, troubleshoot ...

skills: Designing and building data-intensive applications and pipelines One or more programming languages, typically Python and SQL Some or all of the following: Distributed computing frameworks such as Spark or Databricks Cloud platforms such as AWS, Azure or GCP Orchestration tools such as Airflow Test, troubleshoot ...

discovery, assessment, planning, execution, and operations. About the job The Google Enterprise Services team leads the deployment of the world’s most advanced accelerated computing systems. We help global enterprises architect and implement massive‐scale infrastructure across on‐premise, hybrid and cloud environments. As an Integration Architect in this … high‐impact group, you will bridge the gap between specialized hardware and enterprise software, shaping the future of large‐scale distributed computing for the world’s largest organizations. As an Integration Engineer, you will work directly with Google’s most strategic customers on infrastructure projects that transform their ...

understanding of AI fundamentals and practical experience with data analysis and experimental design Recent hands-on experience training, deploying models and pipelines Familiarity with distributed computing patterns for training, serving, persistence of state Experience in building and leading high-performing AI teams Exceptional verbal and written communication skills ...

deep learning techniques Experience working with recommendation or ranking systems (or a strong interest in this space) Familiarity with modern deep learning frameworks and distributed computing approaches for training large‐scale models Experience training models across GPUs using data and/or model parallelism, or enthusiasm to deepen ...

data modelling requirements Experience working with cloud platforms and working with relevant PaaS/SaaS offerings. Knowledge of data integration technologies Knowledge of distributed computing & information security Programming experience in languages such as Java or Python is a bonus. While you may not have an exclusively agile background ...