4 Data Munging Jobs in the South East

the design team. The work is predominantly related to the in-board aspects of Sonar processing and display software but also includes sensor data acquisition sub-systems and wider aspects of submarine combat systems development. Currently, the work covers Maritime systems but has the potential to evolve into more »

simulation development and analysis, including requirement capture, model design, validation & verification, conducting analyses using toolsets such as Simul8 and presenting insights to customers Data Insights - experience across all aspects of data science; from data landing, wrangling and cleaning to statistical and geospatial analysis through … to data visualisation using toolsets such as Tableau, Alteryx, Python and R Strategic insights - working with their customers to help them develop their future strategies, road maps and business cases With your skills deployed in these areas, they are looking for people who can: Lead the delivery of … with their senior stakeholders and customers across the company Apply consultancy skills and toolsets to understand their strategic and operational objectives, identify their data and analysis requirements, and develop sustainable solutions to support their decision-making Support more junior members of the team through coaching and mentoring Have more »

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 »

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 »