301 to 325 of 1,224 Permanent Computer Science Jobs

backend development principles and APIs Experience with CI/CD pipelines and modern DevOps practices Excellent problem-solving and communication skills Degree in Computer Science, Software Engineering, or equivalent experience Full, clean UK driving licence and access to a vehicle Desirable (Ideal) Experience with SQL and database design ...

Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures. Bachelors or Masters degree in Computer Science, Engineering or equivalent experience. Experience with CI/CD tools and practices. Strong problem-solving & communication skills Adaptability/willingness to learn ...

Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures. Bachelors or Masters degree in Computer Science, Engineering or equivalent experience. Experience with CI/CD tools and practices. Strong problem-solving & communication skills Adaptability/willingness to learn ...

Problem Solving: A "builder" mindset with the ability to navigate ambiguity in a fast‐paced environment. Education Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help ...

profile, you may contribute to prototype deployment, hardware validation, or supervision of student projects. Profiel Required You hold a master's degree in Engineering Science, Engineering Technology, Computer Science, Informatics, or an equivalent field. You have a strong interest in compiler flows, AI acceleration, and system-level ...

design patterns, object oriented design, refactoring, test automation, continuous integration/deployment, networking, concurrency, modeling, and database design. Requirements: Requires a Bachelors degree in Computer Science, or related with directly related industry experience. 0-5 years: Experience working with C# and Python, and must have worked ...

build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model … scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure ...

build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model … scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure ...

build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model … scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure ...

build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model … scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure ...

build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model … scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure ...

global FinTech environment Potential pathway into a graduate software engineering role Key criteria Currently studying a bachelor’s or master’s degree in Computer Science or a related STEM discipline Due to graduate in 2027 Experience with at least one object-oriented programming language (e.g. Java, Python, C++ ...

tools, applying practical technical insight to test ideas and shape future products. We expect you to have: • Bachelor’s or master’s degree in computer science, engineering, or a related field preferred - or equivalent practical experience gained on the job instead. • Professional experience in full stack software development ...

e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure ...

problem-solving skills. Ability to work effectively in a cross-functional team. Willingness to learn new tools, technologies and domain knowledge . Degree in Computer Science, Engineering or equivalent professional experience. Desirable Exposure to frameworks such as React, Node.js, Terraform, Celery or containerisation. Understanding of database schema design ...

proposed solutions Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.Education & Experience: Education: Bachelor's degree in computer science, Software Engineering, or a related technical discipline. Certifications: Salesforce Admin & Platform Developer I (PDI) required. Programming Skills: Proficiency in Apex, HTML ...

directly influence how capacity is planned, optimised, and delivered within a complex, high volume operational setting. This role sits at the intersection of data science and operations research, with a strong focus on simulation, modelling, and real world system optimisation. You will work with large scale datasets to build … making Work closely with operational teams to ensure models reflect real world constraints and behaviours Experience required: Master's degree (or equivalent) in Data Science, Statistics, Operations Research, Computer Science, Mathematics, or a closely related quantitative discipline Strong experience in a Data Scientist or Operational Research focused ...

feature descriptions for GPU projects to guide users and/or customers to use or implement software. Requirements: Master's degree or PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field. 5+ years of relevant GPU experience. If this role is of any interest please ...

Provide guidance on best practice data governance approaches Deliver high-quality documentation and manage workstreams across multiple initiatives Experience & Capabilities Degree in Information Systems, Computer Science, Data Science, Business Information Systems or a related field Relevant certifications (e.g. DAMA CDMP, TOGAF or equivalent) are advantageous ...

business. You'll bring the ability to design robust data models, communicate clearly, and ensure outputs are accurate, consistent, and actionable. A degree in Computer Science, Engineering, Maths, Economics, Data Science is desirable. Advanced SQL skills and experience with analytical/dimensional modelling. Practical experience with modern ...

Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. … build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. … build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...

build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model … Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years ...

build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model … Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years ...

build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model … Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years ...