23 of 23 Distributed Computing Jobs in England

Client is a privately owned technology company operating in a specialist, data-driven domain, currently scaling a complex software platform built around edge computing, distributed systems, and AI workloads. They are seeking an experienced AI Systems Architect to take technical ownership of the core system architecture … Role This position sits at the intersection of systems architecture, backend engineering, and platform reliability. You will design and build the infrastructure that connects distributed edge environments with backend services, ensuring systems are scalable, observable, and robust in production. The role is hands-on and suited to someone ...

workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing (e.g., Spark, Dask). Qualifications & Experience Experience: 5+ years in a software or data engineering role, with at least 3 years specifically … rather than "scripts." You anticipate edge cases, data drift, and system failures before they happen. Problem Solving: A proven track record of troubleshooting complex distributed systems and optimizing resource-intensive algorithms. What We Value Reliability: You believe that a model is only as good as its uptime ...

processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics).Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).Understanding of distributed computing concepts and big data technologies.Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP).Why join Genpact Lead ...

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 tool …/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 ...

small language models (SLMs) with LoRA, QLoRA, DoRA; quantization and distillation a plus.Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.Experience with distributed computing, data sharding, and performance optimization.Hands-on with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.Demonstrated experience in financial services, particularly investment ...

Master’s degree in Computer Science or related field Experience in LLM-related software development is a plus Key responsibilities Design, build and deploy distributed systems and AI agents that leverage LLMs and retrieval‐augmented generation (RAG) to provide contextual, reasoning‐based capabilities. Develop cloud‐native microservices and data … operational excellence. Collaborate with product managers, researchers and hardware teams to translate novel LLM capabilities into robust applications; stay current with emerging AI and distributed computing technologies. Apply best practices for software engineering, including code reviews, automated testing, security and CI/CD; troubleshoot and resolve production issues. ...

testing, CI/CD, and code‐quality practices. Hands‐on experience with experiment tracking tools such as ClearML, Weights & Biases, and 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 … LLamaIndex). Experience with data‐centric ML approaches, including synthetic data generation, curriculum learning, or data curation pipelines. Experience training large‐scale models over distributed nodes using cloud tools such as AWS, Azure, or Google Cloud. Hands‐on experience with MLOps, experiment tracking, and model deployment systems. Strong interest ...

deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with large-scale datasets and distributed compute frameworks (e.g., Spark) Demonstrated ability to independently lead technical ML solution design Experience working in client-facing delivery environments Exposure to cloud-based ...

related field.Strong programming skills in Python, with experience in software development best practices.Proficiency in machine learning frameworks including TensorFlow andPyTorch.Familiarity with cloud computing platforms, includingAWS, and distributed computing environments.Excellent problem-solving abilities and a passion for tackling complex technical challenges.Prior experience in a start-up environment ...

testing and deployment practices, including version control, unit testing, and deployment pipelines (e.g. GitHub Actions) Understanding of system internals, including memory management, caching, and distributed computing Experience turning prototypes into production code and building flexible, reusable code frameworks Foundational knowledge in machine learning principles and statistical methods Desirable ...

testing and deployment practices, including version control, unit testing, and deployment pipelines (e.g. GitHub Actions) Understanding of system internals, including memory management, caching, and distributed computing Experience turning prototypes into production code and building flexible, reusable code frameworks Foundational knowledge in machine learning principles and statistical methods Desirable ...

bring Silicon Valley solutions to Wall Street’s door. Since then, we have worked on successive waves of technological change, including distributed computing, high-speed automation, enterprise UX and digital distribution (for which Lab49 was among the first significant practices established on Wall Street), DevOps, cloud and data ...

deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with large-scale datasets and distributed compute frameworks (e.g., Spark) Demonstrated ability to independently lead technical ML solution design Experience working in client-facing delivery environments Exposure to cloud-based ...

drive satisfaction and foster continuous improvement across our product suite. As a Senior Backend Engineer, you will lead the design and implementation of distributed systems, take ownership of critical non-functional requirements—including scalability, security, and reliability—and mentor fellow engineers while remaining hands-on in development. Your expertise … product-driven environment, and want to shape technology at scale. What you'll do: Architect, develop, test, and debug scalable backend services within distributed systems. Own and deliver key non-functional requirements, including scalability, availability, performance, and security. Author and maintain comprehensive tests (unit, integration, functional) to ensure exceptional ...

moving and expanding aspect of global investment banking. Big Data/Analytics Platform Support - FaaST FaaST is the Global Markets solution for end-user computing and analytics/reporting/research. We service over 2000+ users and growing and provide a large-scale offering that includes Jupyter notebooks, full … fledged IDE capabilities, and distributed computing that handles many highly-visible applications involving backtesting, algo refinement, reporting, risk calculations and trading desk If you believe you have the experience required, please apply with your CV now for instant consideration! TO APPLY - PLEASE APPLY WITH AN UP-TO-DATE ...

C++, SQL, C#, and VBA. Python is also desirable. Solid foundation in numerical methods, including Monte Carlo simulations and optimization algorithms. Experience with distributed computing & inter-process communication. Proficiency in multi-threaded programming. Familiarity with Microsoft Office, VC++, VBA, SQL, Access, Oracle. Knowledge of web technologies such ...

Good understanding of applying cryptography in software development (e.g. TLS, PKI, HMAC, hashing algorithms, etc.)Good understanding of algorithms and data structures to solve distributed computing problems (e.g. content-based addressing, immutable data structures, CRDTs, consensus protocols, merkle DAGs, etc.It’d be amazing if you can alsoAn understanding ...

learning.Experience working with modern ML frameworks and familiarity with end‐to‐end deployment workflows.Proficiency in training models using GPUs, and a strong interest in distributed computing and scalable systems.Familiar with software development practices including version control, CI/CD, containerisation, and monitoring,especially within ML Ops workflows.A collaborative ...

Ideal experience Deep understanding of state‐of‐the‐art machine learning methodologies and proven experience in translating them into practical solutions. Solid foundation in distributed computing principles, parallel processing, and algorithmic efficiency. Experience optimizing ML algorithms for performance, memory efficiency, and compute resource utilisation. Skilled in designing ...

training, evaluation, deployment, monitoring, and automated feedback and retraining loops.* Architect scalable ML/AI components that improve performance and reliability across cloud-based distributed systems.* Analyze large-scale cybersecurity datasets to identify opportunities for improved classification, detection, and automation.* Translate ML/AI outcomes into actionable product decisions … field or equivalent industry experience.* Extensive experience 8+ Years of experience delivering ML-powered product features from concept to production.* Expertise in Python, SQL, distributed compute environments, and cloud platforms.* Demonstrated ability to lead complex ML/AI initiatives driving business impact.* Excellent communication skills, with a track record ...

/ML infrastructure Support model deployment, monitoring, scaling, and lifecycle management Automate workflows for training, evaluation, and deployment pipelines Work with GPU-based systems, distributed compute, and CI/CD pipelines Partner closely with data scientists and engineers to keep AI systems stable, efficient, and scalable What You Bring … Strong background in AI Ops, MLOps, DevOps, or Infrastructure Engineering Hands-on experience with Linux, automation, scripting (Python/Bash) Experience with distributed systems and compute-heavy environments Familiarity with containers and orchestration (Docker, Kubernetes, or similar) Comfortable working onsite in Edinburgh 3 days/week Nice to Have ...

points spanning 24 years of market history. Vectorized Performance: Moving beyond Pandas—leveraging Polars for multi-threaded, Rust-backed data manipulation and Dask for distributed compute across clusters. Execution Engine: Native integration with SpiderRock for complex Equity Options execution and automated risk-routing. Key Responsibilities System Architecture: Build … scratch using a modern, AI-first stack. AI Integration: Leverage Claude and LLMs for signal extraction, code optimization, and autonomous strategy refinement. High-Performance Computing: Implement predicate pushdown and efficient Parquet/Arrow storage to ensure backtests on decades of data run in minutes, not days. Options Logic: Programmatically ...

technical Product Manager to take a complex AI orchestration platform from 0 1 . This is a builder role, working closely with engineering on distributed compute, APIs, and AI/ML infrastructure — not a people-management position. What you’ll do Own the product roadmap and execution … orchestration software Partner closely with engineers on distributed systems, APIs, and platform design Ship developer-facing features supporting AI/ML deployment, inference, and monitoring Ensure reliability, security, and scalability at institutional-grade standards What we’re looking for Circa 3–7 years’ or more experience as a Product ...