models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributedcomputing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in more »
years Python experience required. Previously developed coding standards and extensive experience in CI/CD pipelines. Experience of developing multi-component architectures. Knowledge of distributedcomputing and serialisation techniques. DESIRABLE REQUIREMENTS Background in stochastic processes, probability and numerical analysis. Physics, Engineering or similar subjects is desirable, but not more »
responsibility from Day 1. WHAT YOU’LL DO: Be an ambitious builder, working up and down the stack, mixing software engineering, data engineering, and distributed systems knowledge to build modern enterprise payment applications. Build reliable, high-throughput, low-latency microservices to power flawless cross-border transactions. Participate in the … solutions. Mentor and support the growth of junior engineers. WHAT YOU'LL BRING: 6+ years of hands-on Software Development experience on large-scale distributed systems, with the last 4-6+ years in Java or similar (Golang, Scala, etc). Experience in building transactional systems backed by modern … persistence technologies (Aurora, DynamoDB, etc.) Experience with Agile development of distributed services, with a focus on robust software design, scalability, and security. Experience building and deploying containerized applications into modern distributedcomputing environments (Kubernetes, Nomad, etc.) Eagerness to work openly and collaboratively with a diverse team Ability 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 Distributedcomputing Maintaining and updating the platform, ensuring its stability, robustness, and security Troubleshooting and resolving any systems related issues and handling the release 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 Distributedcomputing Maintaining and updating the platform, ensuring its stability, robustness, and security Troubleshooting and resolving any systems related issues and handling the release more »
training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. Other: Experience at a leading machine learning company. Interested in the impacts of AI technology. A degree in Computer Science. Can demonstrate you more »
training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. Other: Experience at a leading machine learning company. Interested in the impacts of AI technology. A degree in Computer Science. Can demonstrate you more »
training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. General: Keen interest in AI and AI safety Can demonstrate you can work in a fast-growing early stage start-up A degree more »
training across GPUs/TPUs, preferably using PyTorch and Kubernetes. Proficiency in efficient serving of large machine learning models at scale, including quantisation and distributed computing. General: Keen interest in AI and AI safety Can demonstrate you can work in a fast-growing early stage start-up A degree more »
Greater London, England, United Kingdom Hybrid / WFH Options
Anson McCade
/17/20) and developing low latency code. Bachelor's degree in a Quantitative Field; maths, statistics, computer science, etc Experience with DistributedComputing, Platform Development, Networking, and System Design. Exceptional analytical and quantitative skills BENEFITS Competitive base salary between £140,000 and £200,000 Bonus based 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, distributedcomputing, large-scale system design. Any experience of networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile would more »
or leading a team. You understand core data & architectural principles, yet always seek to blend and balance real world considerations with pure theoretical approaches. Distributed Systems Experience: You have developed and worked with Big data architectures including delivering event driven solutions. You are aware of the fallacies of distributedcomputing and how this impacts and relates to complex data platforms and storage solutions. Innovation & Continuous Learning: You enjoy and actively seek to learn about new technologies and techniques in the Data and AI/ML space. You are an advocate for promoting and incorporating best practices around more »
or leading a team. You understand core data & architectural principles, yet always seek to blend and balance real world considerations with pure theoretical approaches. Distributed Systems Experience: You have developed and worked with Big data architectures including delivering event driven solutions. You are aware of the fallacies of distributedcomputing and how this impacts and relates to complex data platforms and storage solutions. Innovation & Continuous Learning: You enjoy and actively seek to learn about new technologies and techniques in the Data and AI/ML space. You are an advocate for promoting and incorporating best practices around more »
areas: transactional and/or analytical database management systems, query processing and optimisation, storage engines, indexing engines, concurrent/parallel algorithms and data structures, distributedcomputing, 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 »
plenty of Python and Google Cloud Platform experience. You’re used to working with large data sets from multiple sources, including simulation, optimisation and distributedcomputing tools. Ideally you have worked for another D2C or retail business and have some experience developing technology, data strategies and system designs more »
plenty of Python and Google Cloud Platform experience. You’re used to working with large data sets from multiple sources, including simulation, optimisation and distributedcomputing tools. Ideally you have worked for another D2C or retail business and have some experience developing technology, data strategies and system designs more »
Greater London, England, United Kingdom Hybrid / WFH Options
NetMind.AI
time, Onsite, 5 days a week; remote working arrangements may be discussed with the line manager. About Us NetMind is a cutting-edge, massively distributedcomputing platform designed for AI modelling and applications. Currently, we are running a start-up project within the life sciences sector, NetMind.life, with more »
trading and research infrastructure. You can expect to design and maintain the companies largest compute infrastructure which covers everything from OS, tooling and HPC computing for research and trading. You'll be working in a distributedcomputing environment with a primary focus on linux based systems. This more »
trading and research infrastructure. You can expect to design and maintain the companies largest compute infrastructure which covers everything from OS, tooling and HPC computing for research and trading. You'll be working in a distributedcomputing environment with a primary focus on linux based systems. This 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 DistributedComputing technologies - Kubernetes strongly preferred. Competent Front-End chops - React & JavaScript preferred - open to similar frameworks/tech. Strong Automation & Config management tooling 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 DistributedComputing technologies - Kubernetes strongly preferred. Competent Front-End chops - React & JavaScript preferred - open to similar frameworks/tech. Strong Automation & Config management tooling more »
trading and research infrastructure. This team designs and maintains the firms largest compute infrastructure which includes operating system platforms, software development tooling, high-performance computing, networking and storage for research and trading. You’ll have the opportunity to work on a wide variety of technology initiatives in a distributedcomputing environment with a primary focus on Linux-based systems. This includes, workload scheduling design and implementation, fleet management, clustered file system design and operation, software design and life cycle (SDLC), kernel and network performance tuning for low-latency and high-throughput applications, metrics collection and data mining more »
trading and research infrastructure. This team designs and maintains the firms largest compute infrastructure which includes operating system platforms, software development tooling, high-performance computing, networking and storage for research and trading. You’ll have the opportunity to work on a wide variety of technology initiatives in a distributedcomputing environment with a primary focus on Linux-based systems. This includes, workload scheduling design and implementation, fleet management, clustered file system design and operation, software design and life cycle (SDLC), kernel and network performance tuning for low-latency and high-throughput applications, metrics collection and data mining 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 »
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 »
