76 to 100 of 127 Big Data Jobs

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

highest leverage impact. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/… deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

background and client facing communication skills. Your experience is likely from a service provider or advisory firm. You will have an ability to collect data from various devices (Desktop, laptop, phones) but also from the cloud and more commercial enterprise wide systems e.g. global email etc. You will have … subject. You will be able to attend the office and when required visit client sites. There are initially no direct reportees. You will collect data in a compliant manner so be familiar with ACPO and chain of custody. #DigitalForensicsjob #ForensicTechnologyjob #ComputerForensics #ForensicCollection #EnCase #ForensicjobsLondon About Brimstone Consulting: We specialise ...

practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

delivering capabilities that exemplify those practices.What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

capabilities that exemplify those practices. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training ...

discovery strategies Act as the primary contact for document review and legal technology queries Oversee the full lifecycle of e-discovery projects, from data collection to production Build, mentor, and develop a junior team, providing ongoing training and support Deliver training sessions to both internal stakeholders and clients Stay … etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance ; IT - (full SDLC- BA s PM s , Architects, Developers etc.); Big Data and Data Analytics - (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance Brimstone Consulting acts ...

discovery strategies Act as the primary contact for document review and legal technology queries Oversee the full lifecycle of e-discovery projects, from data collection to production Build, mentor, and develop a junior team, providing ongoing training and support Deliver training sessions to both internal stakeholders and clients Stay … etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance ; IT - (full SDLC- BA’s PM’s , Architects, Developers etc.); Big Data and Data Analytics - (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance Brimstone Consulting acts ...

will be responsible for designing, developing, and implementing DevOps practices for database management systems. This role involves close collaboration with software engineering, operations, and data management teams to ensure seamless deployment, scaling, and monitoring of our database infrastructure. You will bring a problem-solving mindset and a collaborative spirit … compliance standards are met for database systems. Continually improve processes and tools to increase efficiency and reliability of database operations. Manage backup, recovery, and data archival processes. Support and participate in all phases of the software development life cycle, including requirements analysis, design, implementation, integration, and test. Write well ...

leaner, more automated ways to handle complex pricing data. Develop proactive tracking and monitoring tools to ensure our pricing engine is performing correctly, identifying data discrepancies early to maintain full visibility over our commercial processing. Collaborate closely with the Ops team to define clear commercial outcomes, guiding the implementation … technical systems match our commercial goals. Support the Finance team with deep-dive analysis into invoicing variances, investigating root causes and turning complex data into clear, actionable commercial insights. Partner with our Partnerships and Ops teams to monitor market feedback and partner data, helping to optimise our pricing ...

pipeline development using GitLab CI Experience with monitoring, logging and alerting tools Understanding of secure DevOps practices in regulated environments Experience working with large data stores or big data platforms Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention … within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels ...

pipeline development using GitLab CI Experience with monitoring, logging and alerting tools Understanding of secure DevOps practices in regulated environments Experience working with large data stores or big data platforms Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention … within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels ...

GitLab CI æ Experience with monitoring, logging and alerting tools æ Understanding of secure DevOps practices in regulated environments æ Experience working with large data stores or big data platforms Desirable skills: æ Experience supporting AI or data driven platforms æ Knowledge of cyber security … within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels ...

Your new company Working for a renowned financial services organisation Your new role We are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands-on engineering role focused on building and supporting … scalability.The role sits within a small Agile delivery team of four engineers (two onshore and two in Shenzhen), working closely with a Senior Data Engineer. You will be responsible for development work, sprint delivery, demos, documentation, and stakeholder engagement. This position suits a mid-level engineer with strong Spark ...

Your new company Working for a renowned financial services organisation Your new role We are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands-on engineering role focused on building and supporting … preferred combination.The role sits within a small Agile delivery team of four engineers (two onshore and two in Shenzhen), working closely with a Senior Data Engineer. You will be responsible for development work, sprint delivery, demos, documentation, and stakeholder engagement. This position suits a mid-level engineer with strong ...

experience match your skills, please ensure you apply promptly. Your new companyWorking for a renowned financial services organisation Your new roleWe are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands … required skillset.The role sits within a small Agile delivery team of four engineers (two onshore and two in Shenzhen), working closely with a Senior Data Engineer. You will be responsible for development work, sprint delivery, demos, documentation, and stakeholder engagement. This position suits a mid-level engineer with strong ...

role can be found in the full description below. Your new companyWorking for a renowned financial services organisation Your new roleWe are seeking a Data Engineer to support the replacement of a legacy ETL tool with a modern Apache Spark based data platform. This is a hands … preferred combination.The role sits within a small Agile delivery team of four engineers (two onshore and two in Shenzhen), working closely with a Senior Data Engineer. You will be responsible for development work, sprint delivery, demos, documentation, and stakeholder engagement. This position suits a mid-level engineer with strong ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Position Overview Goldman Sachs Engineers … innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. This team is dedicated to creating tools and platform services that enhance the developer ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Position Overview Goldman Sachs Engineers … innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. This team is dedicated to creating tools and platform services that enhance the developer ...

arisen for an experienced KDB Developer to work alongside their Quants and Traders. This is an exciting opportunity to take ownership of critical data and analytics capabilities in a business where your work will directly support front-office decision-making, research, and platform performance. In addition to the base … every 6 months. THE ROLE: KDB Developer This position sits within a small, highly capable team focused on building, improving and supporting the firms data environment. The successful candidate will play a key role in designing and developing scalable data collection and analytics solutions, while helping ensure ...