1 to 25 of 3,833 Computer Science Jobs

nurture an AI-as-a-service culture, and enable the organization to maximize the value from AI investments. The successful candidate will provide delivery and ongoing support for data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the effective implementation of AI initiatives across the organization, while demonstrating strong communication, technical leadership, and … partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP) to drive NFCU value outcomes. Qualifications • Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. • Experience in leading, designing, implementing, and managing large-scale AI and machine learning solutions, including … in applying innovative approaches to solving technical design issues. • Expert verbal, interpersonal and written communication skills. • Solid experience with Python and SQL required. Desired, not required • Master's in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. • Experience in advanced AI/ML technologies. • Experience building and supporting Enterprise grade APIs. • Expert More ❯

as-a-service culture, and enable the organization to maximize the value from AI investments. The successful candidate will provide delivery and ongoing support for the clients's data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the effective implementation of AI initiatives across the organization, while demonstrating strong communication, technical leadership, and … partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, and natural language processing (NLP) to drive clients value outcomes. Qualifications Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. Experience in leading, designing, implementing, and managing large-scale AI and machine learning solutions, including … skill in applying innovative approaches to solving technical design issues. Expert verbal, interpersonal and written communication skills. Solid experience with Python and SQL required. Desired Qualifications Master's in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field. Expert knowledge of Navy Federal products, services, programs, policies and procedures. Experience in advanced AI More ❯

as a business asset Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making Skills and Experience Required A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; master’s degree advantageous. At least six years of work experience in data management disciplines, including … that capture, explore, transform, and utilize data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP More ❯

to automated hedging strategies-to improve Remitly's overall risk management and liquidity planning. This role is based in London reporting to the Head of Treasury Analytics and Data Science, and involves collaboration across global teams, requiring strong communication and coordination skills. You Will: Develop, deploy, and monitor ML models that forecast FX exposure, optimise hedging, and improve liquidity … meets audit requirements. Translate business questions into well scoped technical tasks and clearly communicate results to stakeholders, including senior leadership. You Have: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus). Proficiency in More ❯

single-source provider of advanced communications and data technology for business. That means if it's digital, we connect our customers to it from phone systems and hardware to computer networks, application development, managed solutions and more. And we're 100% passionate with designing, implementing, managing and supporting our customers' every need from end to end, so that they … customers. You will collaborate with cross-functional teams to identify opportunities for automation, optimization, and innovation. This role requires a strong foundation in machine learning, deep learning, and data science, as well as a passion for solving challenging problems. Responsibilities Essential Functions Model Development: Design, develop, and train machine learning and deep learning models for various applications, including natural … language processing, computer vision, predictive analytics, and recommendation systems. Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability. System Integration: Integrate AI models into existing software architectures, ensuring seamless functionality and optimal performance. Research & Innovation: Stay current with the latest AI research and trends; propose and More ❯

Splunk) Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) Version control: Git Infrastructure as Code: Terraform, CloudFormation Collaboration: Jira, Confluence Required Education and Experience: Requires a Bachelor's degree in Computer Science, or a related Science, Engineering or Mathematics field. Also requires 8+ years of job-related experience, or a Master's degree plus 5 years of job More ❯

Encourage continuous learning and knowledge sharing within the team, nurturing an environment where clean architecture and coding standards are a foundation for innovation. Minimum Qualifications Bachelor's degree in computer science, Engineering, or a related field. Equivalent work experience in a similar position may be substituted for educational requirements. Minimum 10 years of experience in computer science More ❯

relevant aspects including data, tools, security, compliance, and operations requirements. Develop/Program proofs-of-concept. Support developers in problem-solving. Conduct code-reviews. A bachelor's degree in computer science, software engineering, or a related field is required. Master's is preferred. A minimum of seven (7) years of progressively complex experience in a directly related area More ❯

on building and integrating artificial intelligence solutions within web applications. The candidate must have hands-on experience in developing intelligent features, leveraging machine learning models, natural language processing (NLP), computer vision, or other AI technologies to enhance user experience, automate processes, and drive business value in web-based platforms. Key Responsibilities: Design, develop, and deploy AI-driven features and … sharing. Work closely with cross-functional teams, including product managers, designers, and data engineers, to deliver impactful solutions. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field. Strong programming skills in Python (preferred), JavaScript, or Java. Experience with ML/DL frameworks like TensorFlow, PyTorch, or scikit … with web technologies: REST APIs, HTML/CSS, JavaScript frameworks (React, Angular, etc.). Understanding of cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Knowledge of NLP, computer vision, or recommendation systems is a plus. Excellent problem-solving and communication skills. Proven experience as an AI Developer, Machine Learning Engineer, or similar role focused on web applications. More ❯

cross-functional teams in identifying and prioritizing areas where AI can provide business benefits. Advise stakeholders on AI strategy, technology, and policy issues. Automate AI infrastructures for the data science team. Evaluate and implement best practices in AI/ML, data mining, and analytics. Qualifications: Master's in Computer Vision, Computer Science, Electrical Engineering, Mathematics or More ❯

and monitoring. Good understanding of software development principles including version control (e.g. Git), Agile methodologies, and DevOps practices. Compensation: $100K-125K/annum ACADEMIC CREDENTIALS: Master's degree in Computer Science, Statistics, Data Science, or related field. More ❯

CD pipelines for streamlined software delivery. Machine Learning/AI: Basic understanding of AI and machine learning concepts. Database: Understanding NoSQL databases. Numerate Degree Qualification You should possess a computer science degree or other degree with a large component of computer numeracy. Relevant in-role experience is acceptable in the absence of a formal qualification. Industry experience More ❯

the latest trends in technology, and proactively recommend tools and practices that can improve the team's productivity and the product's quality. Required Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a Director of Software Engineering or in a comparable leadership role, with a strong foundation in both backend and … negotiate, and build consensus with internal and external partners. Comfortable working in fast-paced, agile development environments and using associated tools and methodologies. Desired Qualifications: Master's degree in Computer Science, Engineering, or a related technical field. Solid understanding of DevOps practices, including CI/CD pipelines, infrastructure as code, and automated testing frameworks. Experience in database design More ❯

ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows. What You'll Need to Succeed Bachelor's or Master's degree in Computer Science, Engineering, or related field. 4-8 years of backend engineering experience building and deploying large-scale systems in production. Expertise in Databases: Strong experience with SQL, NoSQL … any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences More ❯

monitor, analyze, and improve application performance and reliability. Stay current with technology trends and contribute to innovation and knowledge sharing. Required Qualifications: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 5+ years of professional experience in software development, including: 2+ years of hands-on ServiceNow development Strong proficiency in JavaScript and More ❯

and/or weekends and on-call, as specified by the supervisor. Performs other related duties as assigned. Required Education, Knowledge, Skills, Abilities: Bachelor's or advanced degree in Computer Science, Mathematics, or a related discipline that requires excellent analytical skills or a combination of education and experience. Four to six years of professional experience or an equivalent … particular area. Works independently; may instruct or coach other professionals. Additional Job Description Physical Requirements: Work primarily involves sitting/standing, communicating with others to exchange information, operating a computer, and assessing the accuracy, neatness, and thoroughness of the work assigned. Environmental Conditions: Subject to inside environmental conditions. Not typically exposed to adverse environmental conditions Disclaimer: This position profile More ❯

with TeamCity Knowledge of Microsoft SQL Server Experience in both Windows and Linux administration Excellent communication skills for both client and team interactions A minimum 2:1 degree in Computer Science or a related subject, ideally from a Russell Group university Financial Services experience (advantageous but not essential) Preferred Experience While not mandatory, the following would be highly More ❯

with development teams and business users to build reliable, scalable, and secure systems that underpin critical business applications. All applicants must hold a 2:1 or higher degree in Computer Science, Engineering, Physics, Mathematics, or a related field from a top-tier UK university. We particularly welcome candidates from Russell Group institutions , such as Oxford, Cambridge, Imperial, UCL More ❯

activities. Skillset/Experience: 7+ years of experience in software engineering or IT, with experience in Software Development and an expert understanding of DevOps principles Bachelor's degree in Computer Science, MIS, Engineering, or equivalent experience Extensive experience with setting up/maintaining a CI/CD pipeline Extensive experience with Container technology implementation and system design - Kubernetes More ❯

You'll need to have: 4+ years working building applications and services in a programming language such as Python, JavaScript, Go, C/C++, Java, etc. A degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of fundamental concepts like compute, storage, file system etc. Experience with Amazon AWS, Microsoft Azure More ❯

working in DoD or federal government environments DoD 8570 IAT Level II or higher (must be current and verifiable). Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, or related discipline Experience working with DoD budgeting processes (e.g., POM, O&M, RDT&E) Familiarity with audit-compliant or traceable systems used for budgeting More ❯

They are looking to recruit a Senior C# Developer with MS SQL Server with at least 5 to 10 years solid expertise. Must have a bachelor's degree in computer science, software engineering, or a related field. A minimum of four (4) years of progressively complex experience in a directly related area, during which both professional and technical More ❯

platforms (e.g. MySql, Oracle, DB2, SQL Server, Postgres, MariaDB) Programming/scripting (e.g. Java, Javascript, BASH, Perl, Ruby, C#, PHP) Basic Qualifications Bachelor's degree in any Engineering discipline, Computer Science, Mathematics, Information Technology, or similar work An Active Government Clearance (Top Secret and above, without any limitations) is required for this opening Ability and interest to maintain More ❯

specific business needs. Operating within a dynamic and evolving environment, you will play a key role in continuously advancing our technical capabilities and ensuring the effective application of data science across the insurance value chain. The role As a Principal Data Scientist, you will be an integral part of a dynamic technical team, strategically focused on leveraging data science … the entire insurance value chain, championing a multi-disciplinary approach to complex problem-solving. You will lead the end-to-end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You'll be a key driver in defining and upholding technical standards, ensuring the development of robust, scalable, and high-quality … emerging methodologies, and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end-to-end delivery of our most complex data science initiatives, encompassing: o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development More ❯

specific business needs. Operating within a dynamic and evolving environment, you will play a key role in continuously advancing our technical capabilities and ensuring the effective application of data science across the insurance value chain. The role As a Principal Data Scientist, you will be an integral part of a dynamic technical team, strategically focused on leveraging data science … the entire insurance value chain, championing a multi-disciplinary approach to complex problem-solving. You will lead the end-to-end delivery of our most significant and complex data science initiatives, driving technical strategy, architecture, and best practices. You'll be a key driver in defining and upholding technical standards, ensuring the development of robust, scalable, and high-quality … emerging methodologies, and empirical research to develop critical business inputs and assist leaders in innovating their approaches. Technically lead the end-to-end delivery of our most complex data science initiatives, encompassing: o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development More ❯