51 to 75 of 133 Big Data Jobs in the UK excluding London

deep learning, LLM, and dialog manager Experience with Machine LearningOps tools such as airflow, MLflow, or KubeFlow Experience using SQL to fetch and analyse data from big data platforms Experience in NodeJS, GoLang, and Python is a plus Proficient in Linux, Docker, and related tools A stickler … number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a more »

Length: 3 Months Required experience will include: Someone with a good understanding building and delivering Finance reports. Experience working with Predictive, Diagnostic and prescriptive data analytics. Strong Dashboard Building experience using Tableau Experience working with large data sets using SQL and BigQuery Desirables: Experience working with Big Data technologies and Python data pipelining. GCP cloud exposure Salesforce experience. Strong Data Modelling skills using Alteryx If you are interested in this Tableau Developer role please apply with your most recent CV. Alternatively email me on George . Batson @ Randstad . co . uk Tableau more »

and test software components of varying size and complexity. Design and execute unit, link and integration test plans and document test results. Create test data and environments as necessary to support the required level of testing. Work closely with the quality assurance team and assist with integration testing, system … software development experience within an industry setting. Ability to work in both Windows and UNIX/Linux operating systems. Good understanding of software/data design methods and data structures. Experience of API (REST) development, Docker, and Kubernetes. Familiarity with IntelliJ, Subversion and Maven. Exposure to one or … work within a hybrid Agile methodology. Understand the design and development approaches required to build a scalable infrastructure/platform for large amounts of data ingestion, aggregation, integration and advanced analytics. Knowledge of general database concepts, plus experience of one of the following platforms: MySQL or Cassandra. Experience of more »

FIRST £90,000-£100,000 +BENEFITS THE COMPANY This company is one of the largest gaming businesses globally who are renowned for its huge data functions and big data focus within the organisation. This team is specifically working on the full end-to-end improvement of games … to increase revenue per game. THE ROLE As a Analytics Engineer Manager, some of your main responsibilities will be: Manage a team fo 4 data professionals, whilst remaining hands on with the data. Work closely with the cross-functional data engineering team to scale the platform to ensure … growth for current games. Define the data roadmap of this team as well as potentially take on management responsibility of the database engineering team. Support and build the transformation layer on top of the database, using some DBT and some orchestration tools (Airflow you will use mainly). Build more »

and business areas supporting the Customer Relationship Growth strategy to deepen relationships with our customers across both the retail & commercial bank. This includes the data, analytics, and technology to unlock the value of differentiating our branded channel experiences, proposition, price and communication; as well as paper-free sustainable ambitions. … experience: Strong knowledge of cloud architecture, hosting patterns & services (especially GCP), cloud security, resilience, and operational excellence Strong understanding of microservices, containerisation, cloud native, data architectures and event-driven design concepts Strong understanding of API standards, security, networking, ingress/egress patterns & FinOps Strong understanding of data technologies … SQL/NoSQL, Big Data Experience working with enterprise-wide cloud patterns - networks, security, ingress/egress Knowledge of ML/AI and data capabilities in GCP Strong experience & knowledge of some key LBG development technologies (e.g. JavaScript, Java Spring Boot, Python) Knowledge of the SDLC & SRE more »

NHS. The role of the SQL DBA will be part of the Operations Team responsible for monitoring, maintaining and supporting databases in managed instances, big data inAzure SQL as well as limited amount of on premise SQL databases on virtual machines. This role will suit someone who has …/2008/2012/2014 Excellent performance tuning skills (experience of Query Tuning, Indexing, Locking etc.) Cloud Services (ideally Azure) including Azure Data Factory and Azure DevOps Strong T-SQL (creating/administrating stored procedures, scripts, functions, triggers and other objects) Experience in the manipulation, transformation, and exploration … service desk calls and escalating to development DBA’s for code fixes where appropriate. Monitor system's health and performance Cleanse or translate (migrate) data so that it can be effectively moved between systems, apps or software for programme work or to support incidents as required by use of more »

magic ✨ Cloud: Azure is our main offering, but experience with AWS/GCP is a strong plus! Containerization: Docker and/or Kubernetes Bonus: Big Data processing (BI systems, Data lakes) Excited to learn more? 🤔 Feel free to reach out, and I'll happily share all the more »

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business … faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience 1 - 2 years' Data more »

capabilities of our market-leading XDR solution, working in a fast-paced, startup-like environment with an experienced, cross-functional team of software engineers, data scientists, and security experts. If you love computer security and digging into complex engineering challenges, then we want your help to protect organizations in … Minimum Requirements: At least 5 years of software development experience in languages such as GoLang, Java, Scala and a solid foundation in algorithms and data structures A proactive mindset with excellent problem-solving and communication skills Experience with big data technologies such as Apache Kafka, Spark, Hadoop 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 »

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 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 »

Merkle is a leading data-driven customer experience management (CXM) company that specialises in the delivery of unique, personalised customer experiences across platforms and devices. With a thirty year heritage as a leading data and analytics consultancy, In 2016, Merkle became part of Dentsu, one of the world … five 5 media companies agency networks with 60,000+ employees across 146 countries. Dentsu leads the region in digital media trading. We generate more data, drive more audience engagement and track everything. We specialise in applications of technology that drive unmatched ROI for our clients. As a result, we … view on the implementation and integration of technology across our digital business. Job Description We are looking for exceptional candidates to join our growing Data Engineering team at Merkle to focus on delivering solutions to clients. You will understand modern data platform architecture and have solved complex technical more »

scientists across the Edinburgh offices and wider organization. You will lead the design of machine learning models that scale to very large quantities of data, and serve high-scale low-latency recommendations to all customers worldwide. You will embody scientific rigor, designing and executing experiments to demonstrate the technical … selected, you have the opportunity to make a difference to our business by designing and building state of the art machine learning systems on big data, leveraging Amazons vast computing resources (AWS), working on exciting and challenging projects, and delivering meaningful results to customers world-wide. Key job … 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. 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 »

Computing Increased earning potential and job security Flexible working opportunities within the industry Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking and DevOps more »

Computing Increased earning potential and job security Flexible working opportunities within the industry Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking and DevOps more »

Computing Increased earning potential and job security Flexible working opportunities within the industry Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking and DevOps more »

Computing Increased earning potential and job security Flexible working opportunities within the industry Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking and DevOps more »

Computing Increased earning potential and job security Flexible working opportunities within the industry Platform to enter other career paths including Cyber Security, Artificial Intelligence, Big Data, Machine Learning, Cloud Security, Data Analytics, Networking and DevOps more »