276 to 300 of 726 Big Data Jobs in the UK

Cloud. We are looking for Technical Consultants to support our customers' creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Data Analytics, Application services, Networking, Server-less and more. This is not a sales role, but rather an opportunity to be the principal technical advisor … individuals with strong backgrounds in I.T. Consulting and in any of these related areas such as Solution Designing, Application and System Development, Database Management, Big Data and Analytics, DevOps Consulting, and Media technologies. Knowledge of programming and scripting is beneficial to the role. Key job responsibilities Every day … the following areas: Software Design or Development, Content Distribution/CDN, Scripting/Automation, Database Architecture, Cloud Architecture, Cloud Migrations, IP Networking, IT Security, Big Data/Hadoop/Spark, Operations Management, Service Oriented Architecture etc. Experience in a 24x7 operational services or support environment. Experience with AWS More ❯

technologists program leader who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This role will focus on partnering with customers to enhance their business or operational outcomes through … pre/post-sales mechanisms that streamline customer journeys. After coordinating with global teams on best practices, you analyze non-linear growth initiatives performance data, making recommendations to optimize results. You end by documenting key learnings from a successful customer implementation that can be applied across other APJC markets … lifecycle (directly or indirectly) - Experience in management consulting or related work - Experience launching technically complex programs, projects, or related work that includes the following: Big Data, Analytics, Artificial Intelligence, and Machine Learning PREFERRED QUALIFICATIONS - Executive communication skills - Writing communications skills - Experience with presenting to audiences of 5 to More ❯

business-oriented technologist who possesses a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence and have experience with startups. As a GenAI strategist you will help outline and scope startup … to Fortune 100 customers. Advanced degree desired (e.g., MBA, MS). Experience launching technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran More ❯

solutions, help businesses research, plan, measure, and optimise TV campaigns. With large bespoke projects and high-profile clients, they are at the forefront of data-driven advertising. The Role The successful Java Developer will join a technical team working on core products and bespoke solutions. The role will focus … on: Machine Learning & Big Data applications Performance-oriented software development Working with a tech stack that includes Java, Spring, AWS, Linux, Apache, Wildfly, and Vue.js Implementing statistical models, including Bayes Theorem Skills & Experience ✅ Strong Java development experience ✅ Familiarity with Spring Framework ✅ Knowledge of AWS and cloud-based technologies … Experience with Linux-based environments ✅ Exposure to big data, statistics, or machine learning is a plus ✅ Some front-end experience with Vue.js would be beneficial Benefits Competitive salary Work on cutting-edge projects in TV analytics Hybrid working setup in Manchester Collaborative and innovative team environment If you More ❯

the direction of the senior stakeholders. Identify and understand client needs, which will include being responsible for: Strong understanding of projects using Relativity Moving data into Relativity Running searches across Relativity Creating review batches and coding layouts in Relativity Preparing productions and exports from Relativity Supporting legal review teams … z2bz0 years' eDiscovery experience (law firm or service provider, understanding full EDRM) Use of eDiscovery technology, specifically Relativity and Nuix, with experience in data processing, data ingestion, database setup, searching, production, threading, near de-duplication, clustering, and active learning Strong documentation and communication skills, including effective collaboration with … About Brimstone Consulting: We specialise in finding highly qualified staff in E-Discovery and Digital Forensics, Payments, Fraud, Risk, Compliance/Corporate Governance, IT, Big Data and Data Analytics, InfoSec and Cyber Crime, Audit, Accountancy and Finance. Brimstone Consulting acts as an employment agency (permanent) and as More ❯

Responsibilities: Analyze, design, develop, and test software solutions. Utilize Spring Boot, Spark (Big Data), and Message Bus Architecture. Work with containerization technologies like Kubernetes. Manage cloud infrastructure on AWS. Implement and maintain CI/CD pipelines using Jenkins. Qualifications: Bachelor's degree in Computer Science, Information Technology, or … related field. Proficiency in software engineering with Java and Spring, or other major programming languages. Preferred experience with Spring Boot, Spark (Big Data), containerization, AWS, and CI/CD pipelines. More ❯

Chief Data Scientist London – Hybrid (3 days a week in Chelsea) Up to £120,000 + Benefits The Opportunity We are excited to be working with a long standing partner of ours on a new Chief Data Scientist position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great … opportunity for someone looking to take a step up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and More ❯

Chief Data Scientist London – Hybrid (3 days a week in Chelsea) Up to £120,000 + Benefits The Opportunity We are excited to be working with a long standing partner of ours on a new Chief Data Scientist position. You will be joining an organisation where data drives strategic decision-making within the property space. You’ll lead the data science vision while remaining hands-on with AI and machine learning initiatives that have real business impact. This is ideal for someone who enjoys blending leadership, strategy, and technical depth. This would be a great … opportunity for someone looking to take a step up in their career - I.e. Someone at the Principal, Manager, Head of Data Science level. Key Responsibilities Define and deliver the data science strategy to unlock business value. Identify AI/ML opportunities and develop impactful, scalable solutions. Lead and More ❯

platform. We empower the world's most successful brands and retailers with real-time decision making power. By connecting internal business and external market data, EDITED infuses intelligence into every retail decision. We help retailers increase margins, generate more sales, and drive better business outcomes through AI-powered market … finance, etc). Responsibilities Responsible for product management of EDITED's Site Merchandising module. Responsible for delivering high quality solutions that consider everything from data to customer experience. Responsible for expanding the integrated partner ecosystem related to this module. You will partner with the Development and Data Science … Key experience: 5+ years of experience as a product manager in SaaS Experience with JIRA Experience in monetizing and scaling SaaS applications Experience in big data (data collection, transformation, storage) Comfort and command in interactions with Executives and key decision makers Outstanding attention to detail Proven ability More ❯

cloud-based applications, preferably Azure. Proficiency in RDBMS (PostgreSQL, MySQL) and NoSQL (Cassandra, HBase, Elasticsearch). Build, operate, maintain, and support cloud infrastructure and data services. Automate and optimize data engineering pipelines. Utilize big data technologies (Databricks, Spark). Develop custom security applications, APIs, AI/… cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security. Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks … PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in a AI/ML project or programme More ❯

cloud-based applications, preferably Azure. Proficiency in RDBMS (PostgreSQL, MySQL) and NoSQL (Cassandra, HBase, Elasticsearch). Build, operate, maintain, and support cloud infrastructure and data services. Automate and optimize data engineering pipelines. Utilize big data technologies (Databricks, Spark). Develop custom security applications, APIs, AI/… cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security. Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks … PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in a AI/ML project or programme More ❯

cloud-based applications, preferably Azure. Proficiency in RDBMS (PostgreSQL, MySQL) and NoSQL (Cassandra, HBase, Elasticsearch). Build, operate, maintain, and support cloud infrastructure and data services. Automate and optimize data engineering pipelines. Utilize big data technologies (Databricks, Spark). Develop custom security applications, APIs, AI/… cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security. Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks … PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in a AI/ML project or programme More ❯

cloud-based applications, preferably Azure. Proficiency in RDBMS (PostgreSQL, MySQL) and NoSQL (Cassandra, HBase, Elasticsearch). Build, operate, maintain, and support cloud infrastructure and data services. Automate and optimize data engineering pipelines. Utilize big data technologies (Databricks, Spark). Develop custom security applications, APIs, AI/… cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security. Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks … PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity Any advanced Data bricks qualifications Have lead teams of more than 10 people Recent involvement in a AI/ML project or programme More ❯

take the lead for: Developing enterprise-wide architectural standards - Coding standards (e.g., REST API design principles), security protocols (e.g., OAuth 2.0, encryption standards), and data models (e.g., canonical data models for client data). Frameworks for Technology Reference Architecture outlining approved technologies, patterns (e.g., microservices, event-driven … existing ones. (Confluence or ServiceNow to document and track compliance). Ensure adherence to financial regulations (e.g., FCA/PRA rules, GDPR for client data) and internal policies for customer-facing systems like brokerage platforms. Establish metrics (e.g., system uptime, API response times) to monitor the quality of systems … Proprietary or third-party solutions (e.g., Charles River, BlackRock Aladdin). Languages: Java, Python, or C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. More ❯

take the lead for: Developing enterprise-wide architectural standards - Coding standards (e.g., REST API design principles), security protocols (e.g., OAuth 2.0, encryption standards), and data models (e.g., canonical data models for client data). Frameworks for Technology Reference Architecture outlining approved technologies, patterns (e.g., microservices, event-driven … existing ones. (Confluence or ServiceNow to document and track compliance). Ensure adherence to financial regulations (e.g., FCA/PRA rules, GDPR for client data) and internal policies for customer-facing systems like brokerage platforms. Establish metrics (e.g., system uptime, API response times) to monitor the quality of systems … Proprietary or third-party solutions (e.g., Charles River, BlackRock Aladdin). Languages: Java, Python, or C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. More ❯

Provide ongoing assessment of software design processes and optimise changes as needed. Contribute to Advanced Research Support advanced SW development including machine learning and big data features. Support development and validation of advanced energy management algorithms, Thermal management Strategy and 4WD Torque Split Strategy. Support software platform architectures … quality metrics (coverage analysis, complexity analysis). Experience with automotive communication protocols e.g. CAN/CAN FD/UDS. Knowledge of machine learning and big data algorithms and implementations. Benefits: Our Client offers a competitive basic that is open to negotiation, plus a Bonus Scheme, Healthcare, Pension and More ❯

Provide ongoing assessment of software design processes and optimise changes as needed. Contribute to Advanced Research Support advanced SW development including machine learning and big data features. Support development and validation of advanced energy management algorithms, Thermal management Strategy and 4WD Torque Split Strategy. Support software platform architectures … quality metrics (coverage analysis, complexity analysis). Experience with automotive communication protocols e.g. CAN/CAN FD/UDS. Knowledge of machine learning and big data algorithms and implementations. Benefits: Our Client offers a competitive basic that is open to negotiation, plus a Bonus Scheme, Healthcare, Pension and More ❯

looking for a Technical Account Manager (TAM) to support our customers' creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Big Data/Analytics, Application-level services, Networking, serverless and more. The TAM works with customers as a trusted advisor and has a direct … with operational parameters and troubleshooting for two of the following technical domains: Compute/Storage/Networking/CDN/Databases/DevOps/Big Data and Analytics/Security/Applications Development in a distributed systems environment Working with engineering/technology teams for large customers or … based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal More ❯

email Grüneburgweg 16-18 60322 Frankfurt am Main Your Role The Analytics team at 360T is responsible for shaping and executing the company's data strategy, harnessing the power of big data and analytics to drive business impact. Our global team consists of data strategists, analysts … and quants, collaborating closely with data engineers to leverage technology, innovation, and modern data practices. Together, we develop next-generation commercial data products and analytics services for our global client base and internal stakeholders. In this highly visible role, you will work directly with senior leaders, C … to address complex business challenges through advanced quantitative analysis and research. Your insights will play a critical role in shaping strategic decisions and enhancing data-driven solutions across the organisation. Your Responsibilities Develop, implement and optimise in-house statistical models, frameworks, and tools across 360T's entire product suite More ❯

heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a … of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and … solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned More ❯

Junior Data Scientist - FinTech 📍 Location: London, UK (Hybrid Working) 💰 Salary: £35,000 - £45,000 + Bonus 🕒 Start Date: ASAP or within 1-2 months Are you a highly analytical STEM graduate with a passion for data science and financial technology? We are seeking a Junior Data Scientist … to join our client’s London-based fintech team, where you will work with large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise … risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product, and engineering teams to develop More ❯

Junior Data Scientist - FinTech 📍 Location: London, UK (Hybrid Working) 💰 Salary: £35,000 - £45,000 + Bonus 🕒 Start Date: ASAP or within 1-2 months Are you a highly analytical STEM graduate with a passion for data science and financial technology? We are seeking a Junior Data Scientist … to join our client’s London-based fintech team, where you will work with large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector. Key Responsibilities 🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise … risk models, and improve trading strategies. 🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading. 📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders. 🤝 Collaboration: Work alongside risk, product, and engineering teams to develop More ❯

services. AWS Enterprise Support, Technical Account Managers (TAM) support our customers' creative and transformative spirit of innovation across all technologies - including Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role, but rather an opportunity to be the … Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment. 3+ years experience in Informational Technology operations Internal enterprise or … based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal More ❯

Data Engineer – SQL & Cloud £60,000 + Bonus | Hybrid (2/3 days a week in Central London) We’re hiring on behalf of a fast-growing specialist financial services organisation that’s undergoing a major two-year data transformation. With a strong focus on innovation and collaboration … they’re investing in modern technologies and expanding their team to deliver smarter, data-driven decision-making across the business. This is an exceptional opportunity for a Data Engineer with 2+ years of experience to work in a constantly evolving, forward-thinking data team. You'll be … surrounded by over 70 years of combined team experience, giving you a rare opportunity to learn, grow and step into a Senior Data Engineer role within the next two years. What you’ll be doing: Designing, building and maintaining scalable ETL pipelines across the Snowflake cloud platform Collaborating with More ❯

Data Engineer – SQL & Cloud £60,000 + Bonus | Hybrid (2/3 days a week in Central London) We’re hiring on behalf of a fast-growing specialist financial services organisation that’s undergoing a major two-year data transformation. With a strong focus on innovation and collaboration … they’re investing in modern technologies and expanding their team to deliver smarter, data-driven decision-making across the business. This is an exceptional opportunity for a Data Engineer with 2+ years of experience to work in a constantly evolving, forward-thinking data team. You'll be … surrounded by over 70 years of combined team experience, giving you a rare opportunity to learn, grow and step into a Senior Data Engineer role within the next two years. What you’ll be doing: Designing, building and maintaining scalable ETL pipelines across the Snowflake cloud platform Collaborating with More ❯