25 of 25 Permanent Distributed Computing Jobs in London

with Python to build, train, and evaluate models 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques. More ❯

concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps) Building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow) Distributed computing frameworks (e.g., Spark, Dask) Cloud platforms (e.g., AWS, Azure, GCP) and HP computing Containerization and orchestration (Docker, Kubernetes) Ability to scope and effectively deliver projects What More ❯

developing teams, direct and shape the team plan, culture and strategy. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - A PhD in Computer Science, Machine Learning, Statistics, Operations Research or relevant field - 10+ years of industry experience in predictive modeling More ❯

curation workflows essential for efficient LLM training and inference. Model Development & Evaluation Lead the development and evaluation of LLMs, leveraging expertise in transformers , self-supervised learning , and large-scale distributed training . Optimize training pipelines for enhanced performance, compute efficiency, and responsible AI alignment. LLM Deployment & Scalability Manage the end-to-end deployment of LLMs and foundation models in … AI pipelines, with demonstrated involvement in LLM development, fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or JAX . Strong familiarity with distributed computing and data engineering tools (e.g., SLURM , Apache Spark , Airflow ). Hands-on experience with LLM training, fine-tuning, and deployment (e.g., Hugging Face , LLamafactory , NVIDIA NeMo ). More ❯

curation workflows essential for efficient LLM training and inference. Model Development & Evaluation Lead the development and evaluation of LLMs, leveraging expertise in transformers , self-supervised learning , and large-scale distributed training . Optimize training pipelines for enhanced performance, compute efficiency, and responsible AI alignment. LLM Deployment & Scalability Manage the end-to-end deployment of LLMs and foundation models in … AI pipelines, with demonstrated involvement in LLM development, fine-tuning, or deployment. Technical Skills: Proficiency in Python and frameworks such as PyTorch , TensorFlow , or JAX . Strong familiarity with distributed computing and data engineering tools (e.g., SLURM , Apache Spark , Airflow ). Hands-on experience with LLM training, fine-tuning, and deployment (e.g., Hugging Face , LLamafactory , NVIDIA NeMo ). More ❯

application platform development, web and 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 TDD, BDD, Performance/Load More ❯

field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - Experience using Unix/Linux - Experience in professional software development - Experience in patents or publications at top-tier peer-reviewed conferences More ❯

orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯

orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯

orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯

orchestration (Kubernetes). Excellent problem-solving skills and ability to work independently in a fast-paced environment. Desirable: Experience with NLP, computer vision, or time-series forecasting. Familiarity with distributed computing frameworks (Spark, Ray). Experience with MLOps and model governance practices. Previous contract experience in a similar ML engineering role. Contract Details Duration: 6–12 months (extension More ❯

markets and quantitative modeling Preferred: Experience in front-office roles or collaboration with trading desks Familiarity with financial instruments across asset classes (equities, FX, fixed income, derivatives) Experience with distributed computing frameworks (e.g., Spark, Dask) and cloud-native ML pipelines Exposure to LLMs, graph learning, or other advanced AI methods Strong publication record or open-source contributions in More ❯

teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? AWS Professional Services Public Sector ANZ are hiring a highly technical senior cloud architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive … pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using … experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. More ❯

identifying dependencies, interfaces, and technical constraints. Technical roadmap ownership - Work with architects and engineers to maintain the technical roadmap, identifying areas of technical debt or new application components across distributed systems. Technical documentation - Produce and maintain detailed technical and functional documentation, including API specifications, configuration workflows, and integration guides. Stakeholder engagement - Act as a central communication point between product … performance optimisation, latency management, concurrency, and integration considerations. Strong knowledge of networking principles (TCP, UDP, multicast) and experience designing for resilience, throughput, and low-latency data distribution. Expertise in distributed computing and system architectures, including microservices and high-throughput, low-latency systems. Strong knowledge of data architecture and database design, with experience across relational, time-series, and high More ❯

on experience with open-source data frameworks like Apache Spark, Apache Kafka, and Apache Airflow. Strong proficiency in SQL, including advanced query development and performance tuning. Good understanding of distributed computing principles and big data ecosystems. Familiar with version control tools (Git) and CI/CD automation pipelines. Experience working with relational databases such as PostgreSQL, MySQL, or More ❯

on experience with open-source data frameworks like Apache Spark, Apache Kafka, and Apache Airflow. Strong proficiency in SQL, including advanced query development and performance tuning. Good understanding of distributed computing principles and big data ecosystems. Familiar with version control tools (Git) and CI/CD automation pipelines. Experience working with relational databases such as PostgreSQL, MySQL, or More ❯

on experience with open-source data frameworks like Apache Spark, Apache Kafka, and Apache Airflow. Strong proficiency in SQL, including advanced query development and performance tuning. Good understanding of distributed computing principles and big data ecosystems. Familiar with version control tools (Git) and CI/CD automation pipelines. Experience working with relational databases such as PostgreSQL, MySQL, or More ❯

on experience with open-source data frameworks like Apache Spark, Apache Kafka, and Apache Airflow. Strong proficiency in SQL, including advanced query development and performance tuning. Good understanding of distributed computing principles and big data ecosystems. Familiar with version control tools (Git) and CI/CD automation pipelines. Experience working with relational databases such as PostgreSQL, MySQL, or More ❯

stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate about experimentation, rigor … quantization, pruning, and distillation. ** Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. ** Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. ** A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and More ❯

+ Benefits Are you passionate about building interactive, user-friendly web applications that make a real impact? We're partnering with a cutting-edge tech company combining distributed computing, simulation, and machine learning to revolutionise urban transport systems - and they're looking for a Front-End Developer to help take their platform to the next level. Why this More ❯

integrity across complex financial transactions. Implement messaging systems (Kafka, RabbitMQ, or similar) for real-time event processing. Requirements 3+ years of Java development experience Experience with multithreading, concurrency, and distributed computing. Strong knowledge of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, etc.). Experience with message queues (Kafka, RabbitMQ, or similar). Familiarity with microservices architecture and RESTful APIs. More ❯

financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data … in a quantitative discipline. Experience with optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary More ❯

financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data … in a quantitative discipline. Experience with optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary More ❯

financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data … in a quantitative discipline. Experience with optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary More ❯

financial algorithms. Translate mathematical and operations research models into enterprise-grade solutions. Collaborate with developers and product teams to frame problems as solvable models. Contribute to the architecture of distributed, high-throughput systems. Conduct research to enhance optimisation frameworks and algorithm performance. Required Experience Strong foundation in mathematics, optimisation, or operations research. Demonstrated Python engineering skills (OOP, algorithms, data … in a quantitative discipline. Experience with optimisation frameworks (Gurobi, OR-Tools). Knowledge of financial markets, derivatives, or clearing/margin optimisation. Hands-on experience with AWS, PostgreSQL, or distributed computing. Why Join? Solve complex mathematical challenges with global financial impact. Work in a collaborative, research-driven team where curiosity and creativity are valued. Benefit from a competitive salary More ❯