8 of 8 Remote Computer Science Jobs in Milton Keynes

users in identifying, developing, and deploying the suite of models required to enable effective planning and support students within The Open University. This will be delivered using advanced data science models deployed on the principles of MLOps techniques and approaches. Key Responsibilities Maintain and develop data and ML pipelines integrating AI/ML, and other services, into large-scale … team of Machine Learning engineers and Data Scientists to design and code large scale batch and real-time ML pipelines Perform code reviews to optimise technical performance of data science solutions. Build and deploy predictive models and machine learning algorithms. Ensure that output of the developed products is actionable and adds value. Take responsibility for projects & lead them without … Microsoft Azure Machine Learning Studio. Experience with Bash scripting for task automation in Linux/Unix environments A degree or equivalent experience in a numerical subject such as Data Science, Computer Science, Mathematics, Engineering. Experience with contributing to the design and architecture of Machine Learning products. Previous experience of owning, maintaining, and enhancing software products used by More ❯

and progressing business development opportunities, pitching for work with both new and existing clients. Leading as a point of contact on specific R&D software projects. Utilising your existing computer science or developer skills to assist junior members of the team with their personal development. What we are looking for: Are you someone who thrives on variety, loves … making improvements, this role is perfect for you! We value diverse experiences and perspectives. Here's what we're looking for in our ideal candidate: In-depth knowledge of computer science and software development from prior experience working in the software/IT industry. Good level of tax technical knowledge of the UK's R&D tax incentives. More ❯

data sources and logically segregated data. A collaborative mindset with experience engaging both internal teams and external clients. Strong problem-solving ability and a proactive, analytical approach. Qualification in Computer Science, Data Science or another STEM discipline. Experience in Agile methodologies. Desirable: Previous experience in recruitment or pre-employment screening. Exposure to CR.net, Volti4 or similar platforms. More ❯

to finish, ensuring timely delivery. Continuously improve your development skills and contribute to the growth of the company's technical capabilities. Skills & Experience: Essential: A 1st class degree in Computer Science (or predicted grade). A passion for IT and a strong interest in learning Object-Oriented programming languages (C#, Java, PHP, ASP.NET, C++, CSS, MVC, etc.). More ❯

solving abilities, with a keen attention to detail. Self-motivated and adaptable, with the ability to thrive in a fast-paced, dynamic environment. Qualifications & Certifications: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent professional experience. 5+ years of professional experience in Quality Assurance Engineering. Due to the nature of this position, you must More ❯

GDS experience. Relevant intermediate or advanced level AZ/MB/MS/PL certifications Shape Qualifications and Certifications Eligible for SC level security clearance Bachelor's degree in Computer Science, Information Technology, or related discipline. Relevant certifications, including but not limited to: Microsoft Certified: Power Platform Solution Architect Expert (preferred). Microsoft Certified: Power Platform Developer Associate More ❯

product management best practices for the BA and the rest of the team Experience and skills required: Preferably educated to graduate level with a bachelor’s degree in business, computer science, or a related field Proven experience working as a product owner or similar role Experience with legal services/conveyancing industry is a plus Strong understanding of More ❯

and training to end-users on reporting tools and data interpretation. Connect to your skills and professional experience Do you possess the following? Bachelor's degree or equivalent in computer science, Information Systems, or a related field, or equivalent. Proven experience in data warehousing, business intelligence, or a related field, or equivalent. Strong understanding of data lake architectures More ❯