251 to 275 of 487 Clean Code Jobs in the UK excluding London

consistent, and maintainable. This is a hands-on engineering position suited to someone who understands how data and logic flow through a system, writes clean and well-structured code, and enjoys solving complex, real-world operational challenges. Tech Stack · Frontend: Angular, RxJS, TypeScript · Backend: Node.js, GraphQL, PostgreSQL, Apollo … optimise relational database schemas and SQL queries. · Work with the team to refine requirements, clarify tickets, and ensure accurate implementation of functionality · Write clean, testable, and maintainable code · Integrate with and enhance GraphQL APIs and backend services · Contribute to GraphQL schema design and resolver implementation · Collaborate on improving ...

consistent, and maintainable. This is a hands-on engineering position suited to someone who understands how data and logic flow through a system, writes clean and well-structured code, and enjoys solving complex, real-world operational challenges. Tech Stack · Frontend: Angular, RxJS, TypeScript · Backend: Node.js, GraphQL, PostgreSQL, Apollo … optimise relational database schemas and SQL queries. · Work with the team to refine requirements, clarify tickets, and ensure accurate implementation of functionality · Write clean, testable, and maintainable code · Integrate with and enhance GraphQL APIs and backend services · Contribute to GraphQL schema design and resolver implementation · Collaborate on improving ...

consistent, and maintainable. This is a hands-on engineering position suited to someone who understands how data and logic flow through a system, writes clean and well-structured code, and enjoys solving complex, real-world operational challenges. Tech Stack · Frontend: Angular, RxJS, TypeScript · Backend: Node.js, GraphQL, PostgreSQL, Apollo … optimise relational database schemas and SQL queries. · Work with the team to refine requirements, clarify tickets, and ensure accurate implementation of functionality · Write clean, testable, and maintainable code · Integrate with and enhance GraphQL APIs and backend services · Contribute to GraphQL schema design and resolver implementation · Collaborate on improving ...

Hybrid: 2 days office-based) Type: Permanent, Full-time Salary: Competitive + Benefits Why Join DigX? At DigX, you’ll do more than write code—you’ll build solutions that power enterprise transformation. Our integration platforms connect critical business systems for FTSE100 companies and ambitious mid-sized firms, enabling … build enterprise-grade integration solutions using C# and .NET within the Microsoft Azure ecosystem. This is a hands-on development role focused on writing clean, scalable code and configuring cloud services to deliver secure, high-performing integrations across ERP, HR, Payroll, and Field Services systems. What ...

internal and external use Working closely with stakeholders to understand requirements and propose solutions Designing and integrating RESTful APIs and third-party services Writing clean, testable code using modern development practices Supporting and mentoring other developers through code reviews and collaboration Contributing to architecture decisions and technical ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...

Required Qualifications Strong practical experience implementing and training reinforcement learning systems using modern ML tooling (e.g., PyTorch/JAX and RL libraries or custom code). Proven ability to take ownership of R&D work: formulate hypotheses, prototype quickly, evaluate rigorously, and iterate toward a compelling demo. Background … integration, runtime constraints, hardware testing). Strong analytical problem-solving skills and comfort working across ambiguous, research-heavy problem spaces. Solid software engineering fundamentals: clean code, version control, testing discipline, and reproducibility. Clear written and verbal communication. Preferred Qualifications Master's or Ph.D. in Robotics, Computer Science, Engineering ...