126 to 150 of 195 Big Data Jobs in England

on some of the most modern, innovative software in finance. you will get the opportunity to build one of the most scalable and performant data platforms, not only in the finance space, but in the world. Working alongside some of the smartest people in London, you will get a … impact on a growing business. Requirements: Strong experience with Python (2+ Years) Experience working with REST Microservices Strong SQL Experience working with very large data sets. Knowledge of big data tools (Spark, Kafka etc) Experience working in finance (Preferred) Strong formal education - ideally in Computer Science If more »

software strategy and architecture of cutting-edge market research tools. Develop, maintain, and manage applications, tools, and services. Ensure performance, stability, and security of data collection and processing platforms. Manage application and database deployments and infrastructure. Work in close collaboration with cross-functional teams to design, develop, and deliver … client-centric data platforms and applications. Stay at the forefront of technological advancements, continuously exploring and integrating new technologies. Tools and Technologies: You'll work with a diverse range of tools, including but not limited to: Backend technology, Python. Databases like MSSQL. Front-end technology, Java. Cloud platform, AWS. … Programming language, JavaScript (React.js) Big data technologies such as Hadoop, Spark, or Kafka. What We Need from You: Essential Skills: A degree in Computer Science, Engineering, or a related field, or equivalent experience. Proficiency in Python, MS SQL, Java, AWS, JavaScript. Experience with ETL processes, data warehousing more »

Role - Azure Data Engineer Rate - £600 per day inside Hybrid working - 1 day a week onsite (Centre of London) Duration - Initial 6 months My client is a large Financial services organisation based out of London and they are going through a huge data transformation that is expected to … run for at least 18 months. My client is seeking experienced Azure Data Engineers for a stakeholder-facing project. This role will have particular emphasis on Azure, Databricks and DevOps. Our client is in the consultancy sector but does not have a preference for previous experience within a consultancy … a key element of delivery within the project, focusing on delivering technically but also ensuring the quality of delivery within a wider team of Data Engineers. The ideal candidate needs experience and confidence to speak up when several teams can be involved in delivering the project. There is a more »

Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) > Strong IaC experience, using Terraform or CloudFormation > Data Wrangling > Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries … Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. more »

Senior SAP IBP Consultant NTT Data Business Solutions - We are one of the leading international IT full-service providers in the SAP environment, with employees in 25+ countries. Our market-leading SAP competence was built through many years of developing highly innovative solutions and services, and enhanced through our … strong international presence. Since 2013 NTT Data Business Solutions (NDBS) has belonged to the NTT DATA corporate group, one of the largest telecommunications firms and IT service providers in the world. This cooperation allows our customers to take advantage of the best available support with their expansion plans … and provides our employees with a world leading network of specialists. NTT Data Business Solutions facts: Established in 1989. More than 10,000 employees. Specialist for innovative SAP technologies, like S/4HANA, Cloud Computing, Big Data, Business Analytics, User Experience (UX) as well as the Internet more »

Senior Software Engineer Bristol (2 days per week) £70,000 - £90,000 + Bonus, shares, 30 days holiday + BH. Great parental leave and big tech investment. An awesome opportunity to join a great company! They aren't the new kids on the block but I have a feeling … we their name is going to be pretty big throughout Bristol in 2024! The business have announced a multi-billion (yep with a B) investment over the next 3 years into their data, people and security. Specifically, £50million is going into this area to start a massive transformation … Hibernate ORM Exposure to Quarkus Understanding of networking principles, tools, and equipment Exposure Linux system admin tools Understanding of Maven Exposure with Python and Big Data technologies including ML Salaries £70,000 - £90,000 + bonus, shares, 30 days holiday + BH, great parental leave and menopause health more »

and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited …/efficiency Developing reports that provide trending statistics to track and manage application health and supporting service performance You’ll have: A knowledge of Data Structures in practical use cases Experience of problem solving in a development or production environment, including experience observing patterns, analysing root cause and suggesting … of the following RDBMS environments: Sybase ASE/IQ, Oracle or DB2 It would be great if you have: Experience in Cluster Computing and Big Data solutions: Spark, Hadoop, HDSF, XRS using public cloud Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by more »

Kubernetes, OpenShift, MicroK8s; Infrastructure as Code (IaC), automation & configuration management; Ansible (plus Puppet, Saltstack), Terraform, CloudFormation; NodeJS, REACT/MaterialUI (plus Angular), Python, JavaScript; Big data processing and analysis, e.g. Apache Hadoop (CDH), Apache Spark; RedHat Enterprise Linux, CentOS, Debian or Ubuntu. Java 8, Spring framework (preferably Spring more »

up if a need arise. Essential Skills: Golang Nginx SQL (MySQL) Linux Version control (ideally with Git) Desirable experience: Solr Docker Javascript (JQuery) Google Big Query/Big data Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be more »

Graduate/Junior Machine Learning Software Engineer - London (flexible 100% remote work or hybrid) Machine Learning Software Engineer, Data Science, Data Scientist, Computer Vision, Text Mining, Deep Learning, Python, C++, Big Data. An innovative and highly successful technology company is seeking exceptionally strong graduates from leading universities … Strong programming skills - Good software development practices. Please apply straight away if interested as this role will be very popular! Machine Learning Software Engineer, Data Science, Data Scientist, Computer Vision, Text Mining, Deep Learning, Python, C++, Big Data. Graduate/Junior Machine Learning Software Engineer - London (flexible more »

various components of the AI infrastructure. Design and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine learning models into production systems, ensuring seamless … Python programming and strong proficiency in Python development Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. more »

various components of the AI infrastructure. Design and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine learning models into production systems, ensuring seamless … Python programming and strong proficiency in Python development Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. more »

ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very more »

scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for more »

scikit, SpaCy Machine Learning NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for more »

scikit, SpaCy Machine Learning – NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design – load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer – desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud – AWS, Google Cloud, Azure, and a knowledge of secure coding techniques – PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for more »

With deep expertise in trading, technology, and operations, we pride ourselves on achieving high-quality, uncorrelated returns for our clients. As a technology and data-driven firm, we design and build our own innovative systems, fostering global collaboration across our investment, technology, and operations teams. Main Function: As a … Computer Science, Computer Engineering, or Engineering. 3 years of experience in either Python or Java. Experience in processing large datasets with PostgreSQL database and data frame. Familiarity with trade booking using FIX protocol. Knowledge of trading, booking, and/or position keeping. Exposure to scalable, geographically distributed, and high … independent contributor in a team dynamic. Knowledge and understanding of OTC products (Interest Rate Swaps, Variance Swaps, CDS, etc.) bookings. Familiarity with C++ and Big Data tools such as Spark, Kafka, Elastic. Join us and be part of a team that values innovation, collaboration, and excellence. Take your more »

team, aligning technology initiatives with business objectives and driving innovation to enhance our competitive advantage. Build and mentor a team of talented software engineers, data scientists, and technology professionals, fostering a culture of collaboration, innovation, and continuous learning. Lead the design, development, and implementation of cutting-edge technology solutions … drive results. Expertise in software development methodologies, tools, and technologies, including but not limited to Python, R, SQL, cloud computing platforms (AWS, Azure), and big data technologies. Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels of the organization. Experience with more »

large distributed and/or scalable systems. Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, Ray, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Experience with CI/CD Strong problem-solving skills and the ability to troubleshoot more »

large distributed and/or scalable systems. Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, Ray, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Experience with CI/CD Strong problem-solving skills and the ability to troubleshoot more »

large distributed and/or scalable systems. Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, Ray, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Experience with CI/CD Strong problem-solving skills and the ability to troubleshoot more »

revenues and reputations of more than half of the Fortune 100 brands in the rapidly evolving digital world. Using a SaaS delivery model, advanced data technology, and domain expertise, OpSec Security addresses Brand, Piracy, and Fraud risks that brands face due to the web's anonymity, global reach, and … to ensure that the team defines the right information systems all the way from the point where we collect the information, through to the Data Warehouse and into our reporting infrastructure, and it is your job to validate data integrity on all levels of the system flow. Work … Databases: SQL/MySQL, Messaging & Streaming platforms: RabbitMQ. Experience using and developing Restful APIs. Service-oriented architecture. Exposure to applications handling large volumes of data while delivering high performance. Clean Code and best coding practices. Scrum methodology. Fluent in English in both speaking and writing. 5+ years of experience more »

leading a team of analytics engineers? This role is a fantastic opportunity to work with a leading company and prove your skills working with big data sets. THE COMPANY This company is a leading gaming company that is looking for a talented and sparky data engineer to … help them push the boundaries of game analytics. To help champion this within the business, they're seeking further management within their data engineering team for management of 2-3 data engineers. THE ROLE Management of 4 analytics engineers. Stakeholder management and communication, internal and external teams (vendors … with occasional trips to office. Working in a leading gaming company. 18% bonus. Private medical THE PROCESS 1st Stage - 45 minute conversation with senior data engineering manager. 2nd Stage - Technical stage. 3rd Stage - Final interview sign off. HOW TO APPLY Please register your interest by sending your CV to more »

Familiarity with cloud computing technologies and architectures such as AWS/GCP, Docker/Kubernetes, microservices/serverless, and experience in areas such as big data and artificial intelligence would be advantageous. Business acumen and customer-oriented mindset, able to understand customer requirements and provide technical solutions aligned more »

infrastructure and applications. Responsibilities: Utilize recent AWS experience to design, implement, and manage AWS services such as EC2, ASG, RDS, and OpenSearch for streaming big data. Implement Infrastructure as Code (IAC) principles using tools like AWS CloudFormation or Terraform to automate infrastructure provisioning and management. Develop and maintain deployment more »