10 Big Data Jobs in the East of England with Remote Work Options

REF: JD53244 Job Title: Commercial Finance Data & MI Analyst Industry: PE Backed European Group Employment Type: Permanent Location: Essex/Hybrid Salary Guide: £60,000 - £65,000 + Bonus + Benefits Our client is a market leading Private Equity backed business with revenues in excess of £300m generated in … significant value by moving to a subscription-based model. Description This new role has been created to support the Commercial Finance Director by providing data, reporting, analysis and insights that will influence and guide the Commercial, Operational and Finance teams. The successful candidate will need to understand the complex … working with stakeholders to determine optimal solutions to support the growth of the Group. This position will be key to providing the business with data and analysis to drive improvements and recommendations. Core responsibilities are to provide robust and timely data and MI to support pricing decisions across more »

We are currently recruiting for one of our trusted clients who are look for a Data Engineer. Join our client, a leading player in the pet health services and insurance industry, as they aim to secure the coveted position of the UK's #1 Pet Insurer. Our client is … You Can Expect Type – Permanent Location – Borehamwood (Hybrid model – once a week in the office) Industry – Insurance Salary - £80,000 Main Responsibilities as a Data Engineer Establish and oversee the creation of new data storage systems, managing both unstructured and semi-structured data. Monitor and enforce the use … of our Azure platform to ensure that users adhere to agreed-upon processes and practices for code, data, and model governance. Deploy policies and quotas to optimize the usage and spending on the Azure platform and its instances. Maintain and provide support for our Azure platform for Machine Learning more »

Leading ecommerce client now requires a Data Engineer to join their innovative Machine Learning team. This role will focus on increasing overall data efficiency using Machine Leaning, streamlining data processes to increase overall profitability, and ensuring our clients operations and customer teams can increase overall value. They … with strong exposure to Machine learning principles/practices and technologies such as ML flow/Sage Maker. The role: Develop robust and scalable data pipelines. Collaborate with cross-functional teams to develop and deploy Machine Learning models and algorithms to solve business challenges and create opportunities. Contribute to … the development of our clients in-house Machine Learning operations framework. Support the data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on experience with Databricks, Spark, SQL or Scala. Proven experience designing and building data 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 »

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 »

neural networks and ML frameworks (TensorFlow, PyTorch etc.)MLOps experienceNice to have:Familiarity with Git or other Version Control SystemsComputer Vision Library exposureUnderstanding 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 »

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 »

complex activity.Appreciation of safety-critical software development.It would be great if you also had the following skills and experience but not essential:Agile lifecycles.Big data solutions.System engineering approaches.Communication technologies.Hard real-time software development.What you will get:Flexible working: We offer our employees the time and flexibility they need to more »