4 of 4 Contract Data Pipeline Jobs in East London

Job Title: AWS Data Engineer Contract: 6 Months Location: Remote, UK Skills: Advanced knowledge of data management tools including SQL/DBMS, MongoDB, Hadoop and/or other big data technologies. Advanced programming skills in Java, Python, R, C++, C#, etc. Knowledge of statistical and data mining techniques (regression, decision trees, clustering … neural networks, etc.). Experience with data visualization tool is plusExposure to online, mobile, and social data is a plus. Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions. Ability to independently own and drive model development, balancing demands and deadlinesStrong people skills … a deep understanding of industry dynamics and corporate functions to help clients create the most value from data. Must Have: Enterprise Knowledge Data Management, Data pipeline, Python, SQL, AWS Centralising data stored in RDBMS, Data Ingestion, and Uploading data into the database. Education: Bachelor's degree in quantitative field More ❯

for an initial 6 months contract (WFH) who is passionate about building new capabilities from the ground up and want to help explore the full potential of your data platform. As a MS Fabric Consultant you will understand how Fabric fits within a product environment and can guide my client through the complex challenges they are having in … specialist you will have the ability to help my client to progress to the next level. This includes assisting with optimising and designing the processes for products involving data-heavy read/write scenarios and also covers effective workspace management and integration between the product, product storage, and workspaces. You will have hands-on technical ability and experience … of building and managing modern data platforms in Microsoft Fabric and ideally be familiar with integrating customer/third-party data into Fabric, possess Product Development Awareness: Understanding how data platform capabilities may integrate into digital products and services. Experience working with or within product development teams is a plus Technical knowledge and underrating More ❯

want to work globally from home we want to hear from you. What Youll Do: Build and deploy machine learning models to address complex business needs Develop scalable data pipelines and feedback loops for model training Integrate ML into production systems alongside US product and data teams Optimise model performance for accuracy, speed, and cost Run … Machine Learning Engineer or similar role Strong Python skills and ML framework knowledge (TensorFlow, PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus: Experience with NLP, computer vision, recommendation systems Why Apply: 100% remote UK-based Work with cutting-edge More ❯

Role: Ontology Consultant Duration: Initial 6-month contract Location: UK (Remote) Duties Key Responsibilities: Ontology Development and Knowledge Engineering Design, build, and maintain ontologies to support data integration and semantic reasoning. Leverage ontologies to enhance data pipelines and enable advanced knowledge engineering solutions. Collaborate with AI teams to ensure ontology structures efficiently support Agentic AI applications … and use cases. Utilize Semantic Graph tools for rule-based inference and semantic reasoning. Employ Property Graph tools like Neo4j, Amazon Neptune, and TigerGraph for network analytics and data exploration. Integrate graph solutions with AI and machine learning systems, ensuring seamless knowledge retrieval and reasoning. Network Science Application Apply network science techniques to analyze and interpret complex relationships … within graph data. Develop algorithms and models to extract insights from graph structures and relationships. Use network insights to enhance AI systems’ ability to reason across interconnected data sets. Skills Required Skills and Qualifications Strong expertise in ontologies, including their design, implementation, and application in real-world scenarios. Proficiency in graph database technologies, with hands-on experience in More ❯