26 to 50 of 108 Distributed Computing Jobs in London

emphasis on deploying ML models to production quickly. - Knowledge of deep learning models and frameworks, and interest in exploring cutting-edge ML techniques. - Experience working with large datasets and distributed computing environments. - Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. - Experience working with cross-functional teams within a software More ❯

emphasis on deploying ML models to production quickly. - Knowledge of deep learning models and frameworks, and interest in exploring cutting-edge ML techniques. - Experience working with large datasets and distributed computing environments. - Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. - Experience working with cross-functional teams within a software More ❯

emphasis on deploying ML models to production quickly. - Knowledge of deep learning models and frameworks, and interest in exploring cutting-edge ML techniques. - Experience working with large datasets and distributed computing environments. - Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. - Experience working with cross-functional teams within a software More ❯

emphasis on deploying ML models to production quickly. Knowledge of deep learning models and frameworks, and interest in exploring cutting-edge ML techniques. Experience working with large datasets and distributed computing environments. Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. Experience working with cross-functional teams within a software More ❯

or scikit-learn. Familiarity with cloud platforms like AWS, GCP, or Azure. Strong written and spoken English skills. Bonus Experience: Experience with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques and libraries. Familiarity with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau, Power BI, or D3.js. Understanding More ❯

language processing (NLP) or computer vision (CV). Knowledge of MLOps and model deployment pipelines. Familiarity with AI ethics and responsible AI principles. Experience working with large datasets and distributed computing. Contributions to open-source AI projects. We Offer Benefits vary depending on your location; please check with the recruiter. A flexible, hybrid working policy (2 days from the More ❯

SQL. Experience using Language Models to solve a range of predictive tasks involving text. Ability to quickly acquire new technical skills. Experience of working with large data sets and distributed computing. Good understanding of mathematical foundations of Machine Learning models. Able to translate business problems into problems that can be solved with Data Science. Preferred Qualifications: Good familiarity with More ❯

language processing (NLP) or computer vision (CV). Knowledge of MLOps and model deployment pipelines. Familiarity with AI ethics and responsible AI principles. Experience working with large datasets and distributed computing. Contributions to open-source AI projects. WE OFFER: The benefits depend upon the location where you apply from, so feel free to check with the recruiter. A flexible More ❯

and tax collections across hundreds of jurisdictions worldwide. As an Applied Scientist, you will: Design and implement novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to … productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific programming (Python, R, or similar) Communication skills to collaborate with cross-functional teams Passion for mentoring and technical leadership You'll … 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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms - Experience in professional software development Our inclusive More ❯

Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an … analytical subject (Physics, Mathematics, Computing) or other quantitative discipline would be handy. The position is based in the Docklands London. This is a 3 to 6 month contract assignment. Please send your CV to us in Word format along with daily rate and availability details. More ❯

relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Papers published in AI/ML venues of repute. Preferred Qualifications: Track record of diving into data to discover hidden patterns and conducting error/… top-tier peer-reviewed conferences or journals. Experience programming in Java, C++, Python, or related languages. Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Knowledge of standard speech and machine learning techniques. Preferred qualifications include experience using Unix/Linux and professional software development. Our inclusive culture empowers More ❯

products need to handle information at 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 on and is growing every day. 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. Experience with popular deep learning frameworks such as MxNet and Tensor Flow. Experience building machine learning models or developing algorithms for business application. Experience More ❯

Distributed Computing Application Engineer - Systematic Hedge Fund - London Our client, a leading systematic hedge fund, is seeking a Distributed Computing Application Engineer to join their London-based team. This role involves collaborating across multiple business units to architect and optimise large-scale, compute-intensive work flows spanning global locations. You will work with cutting-edge platforms … such as Ray and YellowDog, driving the integration and support of distributed computing solutions to enhance performance and scalability in complex environments. Key Responsibilities: Partner with business teams to embed distributed computing into core workflows. Optimise applications for high performance on distributed platforms. Provide architectural and technical leadership in the design and development of distributed systems. Design, implement, and manage distributed computing solutions using Ray and YellowDog. Required Skills & Experience: Bachelor's degree in Computer Science, Engineering, or a related field. Deep understanding of loosely and tightly coupled workloads. Hands-on experience with HPC platforms and job/resource scheduling. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform More ❯

scaling our operations in London. Our work environment rewards innovation, speed, and bold thinking. The role We’re hiring Senior and Staff Software Engineers to build the high-performance computing infrastructure that powers our Optical Tensor Processing Units (OTPUs). This isn’t just about scaling models—it’s about rethinking how AI workloads are executed at speed and … scale. You’ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement and scheduling. Whether it’s through compiler techniques, systems-level tuning, or custom runtime design, you … large-scale scientific compute, or AI infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve performance bottlenecks across the stack More ❯

scaling our operations in London. Our work environment rewards innovation, speed, and bold thinking. The role We’re hiring Senior and Staff Software Engineers to build the high-performance computing infrastructure that powers our Optical Tensor Processing Units (OTPUs). This isn’t just about scaling models—it’s about rethinking how AI workloads are executed at speed and … scale. You’ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement and scheduling. Whether it’s through compiler techniques, systems-level tuning, or custom runtime design, you … large-scale scientific compute, or AI infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve performance bottlenecks across the stack 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 ❯

to apply them in different business cases. They should leverage exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, they must possess exceptional communication skills and understand how to influence key stakeholders. This Applied … or journals - 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 Our inclusive culture empowers Amazonians to deliver the best results for More ❯

as it aligns closely with our dynamic, innovative culture. Nice to haves: 2 or more years of experience managing a tech team previously Experience working on AI-based products. Distributed computing experience (Spark, MPI, etc) Experience with full stack Experience orchestrating workflows, particularly within distributed system environments. Why Monolith? Our culture is passionate, engaging and collaborative. We More ❯

products need to handle information at 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 on and is growing every day. … we invite you to be at its vanguard! This is your opportunity to move beyond incremental improvements and architect truly transformative solutions, shaping the future of AI and accelerated computing for Google and the world. While known for pioneering work with TPUs, GPUs are an equally vital and rapidly expanding frontier within Google's machine learning infrastructure. GPUs are More ❯

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. … hands on experience with Python to build, train, and evaluate models - experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - experience with design, development, and optimization of generative AI solutions, algorithms, or technologies - Experience in patents or publications at top-tier peer-reviewed More ❯

language processing Hands-on experience with LLM architectures (e.g., Transformer-based models) Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) Experience with large-scale distributed computing and ML infrastructure Excellent communication skills and ability to translate technical concepts to non-technical stakeholders Track record of publications or patents in AI/ML is More ❯

Comfortable writing code in either Python or Scala. Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals. Familiarity with CI/CD for production deployments. Working knowledge of MLOps. Design and deployment of performant end More ❯

data processing and classification, traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems. BASIC QUALIFICATIONS - Experience programming in Java, C++, Python or related language - Experience with neural deep More ❯

framework Excellent RDBMS skills (design, implementation, migration) working with large amounts of data in production systems Experience in implementing REST APIs Excellent understanding of concurrency in Java Understanding of distributed computing principles and challenges Understanding of how to write clean, maintainable and secure code as well as guiding the rest of the team in doing so Experience deploying More ❯