17 of 17 Permanent Distributed Computing Jobs in the South East

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. … or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in delivering customer engagements in a professional services role Experience researching about machine learning, deep learning, NLP, computer vision, data science Bachelor 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 ❯

with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning PEFT/LoRA, Context embedding, Vector database technologies, and Semantic Search techniques & tools. Familiarity with Azure cloud platform services and distributed computing frameworks (e.g., SparkNLP) is a plus. Knowledge of Agentic workflows and frameworks. Experience extracting data from PDFs using Python libraries (e.g., PyPDF, Camelot) and OCR tools like 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 ❯

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 ❯

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 5 years of work experience in distributed systems. 5 years of coding experience in Java. 5 years of experience in full-stack web development. Preferred qualifications: Master's degree or PhD in Computer Science or related technical … 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. … will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Responsibilities Deliver high-priority features related to the Athena system (e.g., distributed system, Java). Design and develop tooling for partners to support growth of the Android ecosystem, ensuring healthy operation of systems. Collaborate with engineers, non-technical stakeholders and external More ❯

in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large-scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills 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 ❯

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 ❯