8 Permanent Big Data Jobs in Manchester

Job Description Big Data Scientist - Expert - Manchester Our Client an international organisation is looking to recruit a Big Data Expert with 7 to 10 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and … analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble … Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++ more »

JOB TITLE: Lead Data Architect (Cloud) SALARY: The salary banding for this role is £121,023 - £142,380 LOCATION: Manchester, Leeds, Halifax, Bristol or Edinburgh HOURS: 35 hours, full time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of … T' shaped): Cloud platform technologies covering IaaS, PaaS, and SaaS services on Azure, GCP and AWS. Cloud database technologies focusing on GCP Relevant prior data architecture experience; Leading or being part of transformation in Data (e.g., move to advanced analytics/machine learning, data lake, big data, data democratisation) Data modelling and how that can help accelerate reuse of data and delivery of data consumption use cases Modern data technologies understanding e.g. Machine Learning and Generative AI Experience with data management capabilities like metadata, lineage, data quality more »

Job Description Data Scientist - Manchester Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover … new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical … models, predict and segment data to hypothesize/evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS more »

Lead Data Engineer - £70k plus benefits - hybrid 2 days in Manchester An exciting opportunity has arisen to join this leading household name, based in Manchester city centre (hybrid). The role will be critical in delivering and ensuring data quality, consistency, and reliability working closely with other data … in the team as well as the analytics team, architecture team and stakeholders. You will be responsible for the development, operation and maintenance of data pipelines to extract, load and transform data sources from both internal and external/third-party providers whilst leading a small team of … on. The ideal candidate will have led a team or projects and used to working in an Azure environment with a focus on Azure Data Lake, Databricks, Azure Data Factory and Power BI architectures. Working with Python, SQL, Spark and Databricks, you will build, rebuild and maintain data 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 »

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 »

is the largest 24-hour online shopping destination in Hong Kong. HKTVmall offers a comprehensive range of services, including online shopping, marketing & digital advertising, big data analytics, intelligent logistics & fulfilment, and physical O2O stores. Our goal is to merge all aspects of business, trade, retail, finance, and daily … Responsibilities of the Junior DevOps Support Engineer Application and Database Provisioning: Efficiently deploy and manage applications and databases across diverse environments, ensuring scalability and data integrity. Kubernetes Resource Management: Oversee Kubernetes clusters, optimising performance and scalability, while troubleshooting deployment issues. Cross-regional System Deployment: Work in tandem with our more »