101 to 125 of 149 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

environment and within a software product company. Proven track record building and nurturing relationships within the partner ecosystem (cloud providers, global consultancies, system integrators, data partners). Ability to connect high-level vision with practical execution – a “roll up your sleeves” operator who is comfortable being a bilateral individual … aspects of our product. Technical acumen to create narratives and scripts for custom demos, wireframes and solution designs &/or an understanding of big data or data science. It would also be nice if you have experience of working with financial services across Europe, North America ...

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 ...

Core Python. Hands-on with Python web frameworks such as Django, Flask, or FastAPI. Experience working on SQL with ability to run various data analytics tasks and queries. Exposure to Java script technologies (preferably React) Exposure to Azure Databricks environment is desirable (PySpark, notebooks, integrate repos, job workflows, delta … Python, SQL, Bash, PySpark Web frameworks: Django, Flask, or FastAPI. Frontend Technologies: ReactJS, Java Script Azure : Azure Databricks, Azure Synapse Analytics, Azure Functions, Azure Data Lake Storage Gen2, Azure Event Grid, Azure Event Hubs, Azure Service Bus, Azure Key Vault, Azure Monitor, Azure Log Analytics, Azure API Management (APIM ...

between business needs and technical delivery teams 🧠 What They’re Looking For Core Experience Strong background in AI/Machine Learning/Data Science/Solution Architecture Experience in client-facing roles — presales, consulting, or solution engineering Proven ability to shape enterprise-level software or AI solutions AI & GenAI … Cloud & Technology Experience across at least two of: AWS (Bedrock, SageMaker) Azure (Azure ML, Azure OpenAI) GCP (Vertex AI) OpenAI ecosystem Plus: Understanding of data engineering and big data concepts Awareness of cloud security, scalability, and cost optimisation (FinOps) 🌍 Why This Role? 🔹 Impact You’re influencing what ...

clients. By leveraging cutting-edge technology, strategic partnerships, and innovative SaaS-based solutions, the CoE will enhance digital capabilities, future-proof workforces, and enable data-driven decision-making. Joining our CoE presents a unique opportunity to be at the forefront of major national initiatives, working within a high-impact … collaborative environment. Our diverse roles span architecture, project management, data analytics, software development, and technical support—empowering professionals to shape scalable, next-generation digital ecosystems. Whether delivering sophisticated Big Data platforms, cloud solutions, or advanced infrastructure, our teams will drive innovation and digital excellence across multiple programmes. ...

choose your work location, balancing what your work requires. What you will do: Provide software engineering expertise to a multidisciplinary team with HVAC and data science backgrounds. Develop algorithms to detect issues in residential HVAC systems using sensor and performance data. Support and enhance infrastructure for analyzing large … data sets. Adapt existing algorithms to evolving software architectures and platforms. Validate algorithm performance through automation, testing frameworks, and extensive data analysis. Collaborate with local and remote software teams to develop, integrate, and deploy algorithms. Mentor junior engineering staff and support knowledge sharing across the team. Interface with ...

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 ...

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions … drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a One to Watch on the Sunday ...

meet tomorrow’s public sector skill demands. This high-impact initiative offers a unique opportunity to join a team dedicated to building a scalable, data-driven recruitment ecosystem. Through redesigning, building, and rolling out a sophisticated Big Data system, our diverse roles span architecture, project management, data ...

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 ...