Senior Algorithm Developer – Supply Chain Production Scheduling

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Create, implement, and evaluate production scheduling models, constraints, heuristics, and meta-heuristics.

• Convert real-world manufacturing and scheduling challenges into effective computational and mathematical models.

• Explore and utilize advanced scheduling methodologies, incorporating AI/ML where suitable.

• Lead or assist in the design, implementation, and enhancement of core scheduling logic within a commercial-grade product.

• Define and contribute to testing strategies, including unit, integration, regression, and performance tests.

• Collaborate with engineering, product, QA, and support teams throughout the design, implementation, and delivery processes.

• Engage in design discussions, code reviews, and scrum activities.

• Address defects, clarify product behavior, propose workarounds, and resolve and validate moderate issues.

• Enhance the software development lifecycle through tooling, automation, or AI-assisted workflows while ensuring architectural integrity, secure design, and code quality.

• Assess AI-generated code for accuracy, architectural compatibility, integration safety, and edge-case coverage.

⛳️ Requirements

• In-depth knowledge of production scheduling algorithms, optimization methods, and/or heuristics.

• Strong software engineering capabilities with a track record of delivering enterprise-grade commercial software.

• Over 5 years of algorithm development experience in a production setting.

• Proficient in Java, C++, C#, or similar object-oriented programming languages, including experience with unit testing and design patterns.

• Experience in translating real-world planning or scheduling issues into computational or mathematical models.

• A strong passion for algorithms, data structures, and problem-solving.

• Ability to design and contribute to automated testing for both functional accuracy and performance.

• Comfortable working throughout the full software development lifecycle, from design to delivery and ongoing support.

• Excellent communication skills, capable of clearly explaining complex behaviors to both technical and non-technical audiences.

• Bachelor’s or Master’s degree in Industrial Engineering, Operations Research, Computer Science, or a related field.

• Nice to have: a background or understanding of supply chain management or manufacturing sectors.

• Nice to have: experience with automation and infrastructure that supports reliable development, testing, performance validation, and production support.

• Nice to have: familiarity with commercial solvers such as Gurobi, CPLEX, or Xpress.

• Nice to have: exposure to machine learning or AI techniques used in optimization or planning contexts.

🏝️ Benefits

• Flexible vacation and Kinaxis Days (company-wide days off).

• Flexible work arrangements.

• Programs focused on physical and mental well-being.

• Regularly scheduled virtual fitness classes.

• Mentorship programs, training, and opportunities for career development.

• Recognition programs and referral bonuses.

• Hackathons.