76 to 100 of 129 Permanent Big Data Jobs

Senior Data Scientist – Media - London - up to £110k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd like to join our team of 50 like-minded … scientists and engineers who work with zero red tape to create practical solutions that actually work. We’re looking for a Senior Data Scientist who has experience developing Machine Learning models, evaluating and choosing the tools and technologies and driving projects. ...

sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive … Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. ...

Role – Senior Lead Analyst Data Science Technology – Core Python, Data Science, GEN AI Location – Chester or Bromley Job Description Infosys is seeking a Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions. This includes core Python development using OOPs … best practices in AI/ML engineering. Required •Minimum 7 years of experience in Information Technology. •Minimum 5 years in Python programming, including OOPs, data structures, Stacks, Queues, Scripting, Linkedlists, Arrays, and API development. •Minimum 5 years in Big Data technologies (e.g., , Hadoop). •Minimum 4 years ...

Description Technical Lead l Quantexa l Implementation l Banking l Finance l Data l Architecture l Stakeholder management l £700-£725 per day l Outside IR35 l London Hybrid l 12 months We are seeking an experienced Quantexa Certified technical Lead to lead a Quantexa implementation for a major … production environment Strong banking or financial services background (retail, corporate, or investment banking) Experience operating as a Technical Lead or Senior Architect on complex data platforms Strong understanding of data engineering, big data platforms, and analytics Experience with cloud environments (AWS, Azure, or GCP) Excellent stakeholder ...

working across multiple sectors, tackling social and environmental challenges, improving and simplify the way markets work, harnessing the power of digital transformation and ensuring data is protected and used ethically. Talan UK & Ireland provides a range of consultancy and outsourcing capabilities including programme management, market design and governance. … also have extensive and award-winning capabilities across cyber security, data privacy and digital transformation. We are a Great Place to Work accredited. The nature of what we do means we are very much a people business. The contribution every member of the team makes to our diverse range ...

This Senior Manager grade role operates at the intersection of architecture, delivery leadership, and client advisory - owning end-to-end Quantexa implementations across complex data ecosystems. As a Senior Manager in this major Management Consultancy, this role: Leads full-lifecycle Quantexa solutions, from use-case design through to production … deployment Acts as the technical authority and client interface, translating regulatory or business problems into scalable Quantexa architectures Leads teams in shaping data models, ER logic, and performance tuning across high-volume, enterprise datasets Mentors teams while influencing delivery standards, design patterns, and best practice across multiple workstreams ...

intelligent systems that power Capital One Travel's vision for the high-end market. You'll have the unique opportunity to transform complex data into bespoke, anticipatory experiences for our most discerning travelers. If you are a visionary technologist who thrives at the intersection of cutting-edge … perfect role for you. 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/ ...

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 ...

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 ...

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 ...

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 ...