45 Distributed Computing Jobs in the UK

version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to more »

cloud infrastructure (AWS being the preference not essential) Start-up experience is preferred but not essential. The extras: Experience working on AI-based products. Distributed computing experience (Spark, MPI, etc) Experience orchestrating workflows, particularly within distributed system environments. Knowledge of MLOps principles and practices, especially in implementing more »

Platform Engineering Consultant. Skilled working with core solutions and offerings of at least one of the major public cloud providers (AWS, GCP or Azure) Distributed Systems Experience: You have played a primary role in architecting and developing complex distributed architectures. You understand and can reason about core distributed computing principles and theory, and can recognise patterns and approaches taken by different technologies and tools in this space. Continuous Delivery Experience : You know all the pieces of the puzzle that fit together to make a secure, repeatable and scalable continuous delivery pipeline. Everything from secrets management to more »

s global R&D activity, conducts research and innovation – achieving together whilst supporting our employees. We are currently looking for a researcher in our Computing Research Group, working on exploring how the use High Performance Computing to accelerate applications at the intersection of Artificial Intelligence and Genomics. Your … role will involve: Analyzing and profiling code to find hotspots Using parallel and distributed computing techniques to accelerate algorithms, in particular those dealing with large scale graph computations Optimization for heterogeneous (CPU + GPU) architectures or for Fujitsu’s Arm-based A64FX processor Your experience To be suitable … approach, adaptable and able to demonstrate that you have: A PhD or similar Post-Graduate qualification in a relevant field Experience with High Performance Computing techniques such as MPI, OpenMP, Intel TBB etc High proficiency in one or more programming languages A track record of writing academic publications Excellent more »

inference of these models. You will develop the core inference engine to seamlessly deploy large machine learning models to customers at scale and across distributed systems, contributing significantly to the automated pipeline, optimizing for high throughput training runs and rapid experimentation while achieving top hardware efficiency. Please note that … professional experience in a similar capacity. Qualifications: We are seeking candidates with exceptional ML engineering evidenced by: Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficiency in efficient serving of large machine learning models at scale, including quantization and distributed computing, leveraging libraries such as deepspeed. Strong software engineering acumen with expertise in software design/architecture, particularly in Python. Understanding of the latest AI research and ability to efficiently implement these systems. Prior experience at a leading machine learning company (OpenAI, DeepMind, Meta, Anthropic, HuggingFace, etc.). more »

ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and more »

and warehousing principles that underpin most data platforms. Ability to ingest, transform, integrate data from diverse sources into well-structured information assets. Knowledge of distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes. Experience with ETL, data pipelines, and building automated … high-performance data solutions. Data modeling, warehouse design, database optimization knowledge - with samples of logical/physical models that reflect proficiency. Deploying, and managing distributed data systems. Ability to monitor, troubleshoot, and tune these systems for reliability and performance. Coding experience that demonstrates modularity, reusability, and efficiency - across languages. more »

components for both live trading and simulation Developing a seamless platform to handle all aspects of quant trading—model building, optimization, and trade execution Distributed computing Maintaining and updating the platform, ensuring its stability, robustness, and security Troubleshooting and resolving any systems related issues and handling the release more »

Machine Learning Infrastructure Engineer to join their founding team. They are looking for people with skills directly linked to creating and managing high-performance computing (HPC) clusters across GPU/TPU chips + serving large machine learning models at scale. Not 1-10 GPU's but 1000's. You … researchers, founders and advisors to develop the next generation of high availability LLM’s. ML engineering experience: Experienced in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch. Proficient in efficient serving of large machine learning models at scale, including quantisation and distributed computing, experience with libraries such deepspeed. Strong software engineering experience in Python. Understanding around the latest AI research. Your background: Worked at a leading machine learning company. Worked a fast growing start-up. Pleas submit your CV to find out more. more »

with ML Ops and DevOps practices. An awareness of programming languages such as Python and C#. Experience with Big Data technologies, ETL processes, and distributed computing frameworks like Kubernetes. Responsibilities: Shape the strategic direction of AI implementation across 30+ initiatives. Drive AI adoption on internal services. Develop technical more »

development covering both front and backend development. We're looking for a software engineer who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design. Any experience of networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile would more »

areas: transactional and/or analytical database management systems, query processing and optimisation, storage engines, indexing engines, concurrent/parallel algorithms and data structures, distributed computing, parallel programming frameworks, benchmarking and performance analysis, graph theory and graph algorithm design, programming/query languages, computer architecture, vectorised processing, operating … design. Have participated in the implementation of (aspects of) a database management system or systems of a similar low-level nature (e.g., operating systems, distributed workflow systems, compilers). Have published papers at top peer-reviewed conferences or journals in fields related to the above (desired but not essential more »

more of STP/OMS/Market Connectivity/Messaging/Risk/Pricing Knowledge of institutional encodings (FIX, SBE) Fault tolerant, high availability, distributed computing Knowledge of low latency messaging (e.g. Aeron, 29West) Docker/Kubernetes/AWS more »

time, Onsite, 5 days a week; remote working arrangements may be discussed with the line manager. About Us NetMind is a cutting-edge, massively distributed computing platform designed for AI modelling and applications. Currently, we are running a start-up project within the life sciences sector, NetMind.life, with more »

direct technical support for all requirements in the planning, coordination, scripting, and implementation of patch/vulnerability management or changes to my clients Linux distributed computing. If this role is of interest, please contact me at anthony.dale@adalta-solutions.com more »

higher in computer science or other related engineering fields Plusses: • Experience with React • Experience with MongoDB • Experience working on streaming technologies like Kaftka and distributed technologies like Apache Ignite • Experience working on AWS, GCP, Kubernetes, IaC • Experience working with C# • Financial industry experience • Experience with cloud like AWS, GCP … and data engineers across the firm in delivering data platforms and pipelines for the loans team. The build of this platform would be using distributed compute, distributed micro-services, multi-threating and multi-processing. The candidate will be expected to be heavily hands on coding on a daily more »

a core focus on increasing developer productivity and overall developer experience. 💡 What You Need: Strong SWE skills - Python or Golang preferred. Expert knowledge of Distributed Computing technologies - Kubernetes strongly preferred. Competent Front-End chops - React & JavaScript preferred - open to similar frameworks/tech. Strong Automation & Config management tooling more »

learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complex ETL and advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches … including native distributed PyTorch/Tensorflow, Spark-based distributor libraries, or Horovod. TECH STACK: Python, Flask, Redis, Postgres, React, Plotly, Docker. Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data … from junior developers to senior leaders Laser focused on identifying and progressing on critical path, both individually and as a team NICE TO HAVES Distributed machine learning (Spark distributors, Horovod, native distributed on PyTorch or Tensorflow) Productionisation experience on multiple clouds Familiarity with MLOps principles and practices, and more »

trying to improve its workflow, and we are not afraid of investing in new ideas. If you like to design, develop, and deploy resilient distributed systems you will fit right in. You will have the chance to work on established projects, kickstart new ones, and make a case for … tools. Experience of cloud-based services (AWS, Google Cloud). Experience of user interface and experience design. Experience with microservices architecture Knowledge of serverless computing architectures Knowledge of CI/CD workflows. Knowledge of issue/project tracking software, e.g. Jira Knowledge of container and orchestration technologies (e.g. Docker … Kubernetes, LXC) Other technologies associated with multi-tier architectures, and distributed computing. E.g. Redis, RabbitMQ, Prometheus, Apache Kafka, ELK, load balancers, ... What is in it for me? Ipsos UK offer an attractive basic salary and a rewards package including 25 days annual leave, a pension scheme and a more »

on industry best practices. Nice to Haves: Experience as a Site Reliability Engineer or with high-availability systems. Background in production infrastructure and troubleshooting distributed systems. Familiarity with mobile development and distributed computing. What You'll Get: £90,000 base salary. 12% Bonus. $100,000 Shares. Flexible working more »