21 of 21 Big Data Jobs in the City of London

large professional services organization, whilst preserving the agility of a young company. Job Description We are looking for senior solutions architects with experience in big data ecosystem to work in a customer facing capacity.Our customers, who are on their journey to become a data-drivenorganisation often leverage … Hadoop as a part of the overall architecture. As an architect, you will be the link between business, big data developers & data scientists. You will be able tointeract with various stakeholders to understand their requirements and create an evolving solution architecture for customer’s analytics platform ...

Keyrus UK is seeking Senior Solutions Architects with expertise in big data ecosystems to engage directly with customers. You will link business needs with data scientists and developers to craft evolving analytics architectures, travelling to client sites 2–4 days a week and delivering high-quality, consultative … outcomes. Ideal candidates will have strong communication skills and a track record in Big Data technologies (Spark, Hadoop, EMR, MapR) and NoSQL/MPP databases, with a passion for #J-18808-Ljbffr ...

Leader Solution Engineer, Enterprise Services - Bloomberg Financial Solutions Location London Business Area Sales and Client Service Ref # 10054251 Description & Requirements We are Enterprise data services - fast paced, agile, innovative, and growing. We are at the heart of where, change meets value, technology development, data and client relationships. … vast selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling mean our clients can get exactly the data they need, when they need it, in the format they prefer. Without us, they simply can’t operate. The Role: As a Team Leader ...

earned pay, savings, budgeting, financial coaching & rewards. Stream - Employee financial wellbeing support: early access to your earned pay, savings, budgeting, financial coaching & rewards. Responsibilities: Data ingestion: Work to build, test and implement solutions for new data acquisition, building end to end process to support the entire department. Using … python, connect to various third party APIs, returning complex data from multiple endpoints. Implement processes to retain and refresh this data within business systems. Data Modeling: Using the businesses preferred ETL tools, generate curated datasets from raw input tables. Ensure all datasets have clear, documented lineage ...

Role: Data & AI Science Consultant Location: London/Manchester/Edinburgh/Newcastle Career Level: Consultant Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought … with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: The Data and AI revolution is changing everything. It’s everywhere – transforming how we work and play. Join Accenture and help transform leading organisations and communities ...

array of solutions Grouper offers, with a focus on our pioneering GRC an HRIS tech software suite. Strategic Partnerships Champion: Forge strategic alliances with data analytics integrators, paving the way for widespread adoption of Grouper’s software within their platforms. Goal-Driven Dynamo: Strive towards business objectives, prioritising tasks … delivering top-notch experiences to potential customers. Insightful Empathiser: Develop an intimate understanding of the daily challenges faced by C-level executives concerning data usage, striking the delicate balance between value and privacy. Pipeline Excellence Leader: Ensure the excellence of pipeline development, management, and sales execution, consistently meeting ...

Role: Data & AI Senior Manager Location: London Career Level: Senior Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation … work and live. It is personal to all of us." – Julie Sweet, Accenture CEO As a team: Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning ...

programs. Build and maintain trusted relationships with top‐tier clients, partners, and industry influencers to strengthen the advisory practice. Champion the integration of advanced data analytics and industry research into advisory offerings to enhance impact and relevance. Represent the organization at industry forums, conferences, and client engagements to elevate … Qualifications Bachelors - Business Administration, Bachelors - Economics, Bachelors - Finance, Masters - Business Administration, Masters - Business Analytics Certified Business Analysis Professional (CBAP) - Upgrad, Microsoft Certified: Power BI Data Analyst Associate - Microsoft, PRINCE2 Practitioner - PeopleCraft, Project Management Professional (PMP) - Virtual Learning Academy (VLA), Tableau Desktop Specialist - Edureka Required Skills Automation Technology, Automation Technology ...

applications, so it’s best to apply as soon as you can. Job Description Your AI era starts now At Lloyds Banking Group, data isn’t just something we store in the cloud. It’s the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won’t be on the sidelines watching the algorithms run the show. You’ll be training ...

hands‐on opportunity for an eDiscovery professional who can combine strong technical expertise with client advisory skills and take ownership of complex matters from data collection through to production. You’ll work across litigation, regulatory investigations and internal corporate matters, advising clients on eDiscovery strategy, workflow design and technology … Role Lead end-to-end eDiscovery engagements, ensuring quality, efficiency and defensibility. Act as a trusted client advisor on workflow design, platform configuration and data strategy. Design and implement advanced review workflows, including TAR, predictive coding and AI-assisted review. Oversee data processing, quality control and production activities. ...

enhance workflow processes. Train attorneys, legal assistants, and support staff on eDiscovery case management systems and applications. Document work performed on litigation-related data and uphold client confidentiality. Troubleshoot issues as they arise while adhering to eDiscovery data management policies. Required Skills & Experience: Minimum 4-5 years … #eDiscoveryAijobs, #ArtificialIntelligencejobs About Brimstone Consulting: We specialise in finding highly qualified staff in the following areas: Legal and LegalTech (E-Discovery, Digital Forensics, EDRM) Big Data and Data Analytics - (MI/BI/CI) InfoSec and Cyber Crime Audit Accountancy and Finance FinTech (Payments etc.) Fraud ...

analytical field (e.g., Mathematics, Natural Science, Engineering or Actuarial Science) A high interest in (Re-)Insurance and related actuarial science, modelling, exposure management and data analytics topics 3+ years’ experience in actuarial/modelling/software development Sound proficiency in a .NET language, C# preferred. Solid object-oriented programming … problems Strong communication skills, allowing you to interact with a diverse group of colleagues What we prefer you to have: Understanding of RDBMS and Data Repositories (SQL Server, MySQL, Azure, noSQL). Experience with Azure cloud infrastructure and services/Big Data (Databricks, Snowflake) Knowledge of distributed ...

including performance optimisation and profiling. Deep understanding of cloud infrastructures, usage patterns, across at least one major cloud vendor. Knowledge of off-heap data structures, including memory-mapped file-based data structures. Knowledge and experience of JVM based optimisation. Experience with distributed systems, data streaming (e.g., Kafka … big-data processing paradigms. Working in any of: Scrum, Agile, XP, Kanban or Lean Software Development environment. Software and application design and algorithm design and implementation. Version control with Git; understanding of DevOps principles and secure software development (DevSecOps). Working knowledge of data streaming standards ...

models with cloud and third‐party AI services to deliver production‐ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training … into practical, efficient, and scalable AI and Machine Learning solutions Develop and implement machine learning algorithms, models, and computational systems design and build scalable data pipelines to support model training and production with DevOps & MLOps Customize and apply Deep Learning and Gen AI models for various use cases based ...

volume tests. Familiarity with monitoring and observability tools (Grafana, Splunk) and diagnostics platforms (New Relic, Dynatrace). Understanding of containerisation technologies (Docker, Kubernetes) and big data platforms (Databricks). Ability to analyse complex performance issues and provide actionable recommendations. Strong scripting skills (e.g., Python, JavaScript) for test automation … data analysis. Knowledge of Performance Test Strategy and defining Non-Functional Requirements. Proven experience in Performance Testing of cloud-based architectures (Azure, AWS, GCP). Strong knowledge of performance testing methodologies and tools (such as JMeter, LoadRunner, Eggplant Performance, Gatling). Desirable skills: Knowledge of middleware systems (Kafka ...

your work will also involve engineering the AI context layer that makes these systems intelligent in practice — connecting enterprise knowledge bases, structured and unstructured data sources, and domain-specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate … software components — building, integrating, and testing AI system modules as a practitioner — alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross-functional delivery teams alongside data engineers ...

Python. Preferred qualifications Bachelor's degree in Computer Security, Computer Science, Computer Engineering, Mathematics, or equivalent practical experience. Demonstrated success in technical consulting or big-data analytics, featuring recent experience in technical design and architecture. Understanding of core cybersecurity domains, including security operations, forensics, threat hunting, insider threats … stakeholders and executive leadership. Willingness to undergo appropriate security background checks (e.g. UK SC clearance). Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that ...

acquisition role, focusing on a specific list of target customers within UK Central Government, solving complex problems through the use of Splunk’s big data analytics platform. The individual will be a motivated, open, innovative person that enjoys new business engagements and can lead and manage their virtual … your own sales acumen Be a good listener and problem solver, helping prospective customers solve their challenges using Splunk, and guiding them on their data journey Being an empathetic corporate citizen – nurturing a two-way flow of relevant and timely information. Working within and mutually supporting a high-performance ...

work of multiple domain architects and subject matter specialists — across areas such as agentic application design, AI security and trust, AI operations and observability, data and knowledge engineering, and model platforms and inference — providing the architectural vision, technical governance, and cross-domain coherence that binds their contributions into … domains. You will produce and govern the authoritative architecture artifacts that guide delivery at scale — including architecture decision records (ADRs), reference architectures, component and data flow diagrams, and integration specifications — and provide the executive-level technical leadership that gives cross-functional engineering teams, domain architects, and client stakeholders ...

specialist who can offer expertise implementing enterprise governance processes and operating models, alongside expertise in AI/ML platforms, MLOps, DevSecOps, or data platforms. We're looking for technology governance SME who can demonstrate a track record of operationalising controls and driving adoption. Titled as an AI Governance Operations … while balancing AI value realisation, adoption, and risk management. Key Accountabilities Drive implementation of AI governance processes across the end-to-end AI lifecycle (data, development, validation, deployment, monitoring, and retirement) Embed governance controls into AI/ML platforms, MLOps pipelines, and AI lifecycle management Own AI governance operations ...

retain customers in the UK and beyond. We prize a seasoned software sales leader with a track record in strategic alliances, consultative selling and big data analytics. You will own the full sales cycle, build a robust pipeline, and articulate Grouper's value to senior executives across industries. ...