Associate Software Engineer, Modelling: Kallikor

Kallikor; Greater London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A technology-driven company in Greater London is seeking a computer science graduate for a role in algorithm design and simulation modeling. The successful candidate will work collaboratively within a multidisciplinary team to create efficient, production-ready code, focusing on impactful solutions. Ideal applicants will have a degree in a related field and 6-12 months of relevant project experience, preferably in Python. This position emphasizes a positive work culture and continuous improvement.

Qualifications

• Degree in Computer Science or related field, or equivalent experience.
• 6–12 months of project or work experience.

Responsibilities

• Design and write clean, testable code for simulation algorithms.
• Collaborate with team to enhance model performance.
• Build data pipelines for simulation engines.
• Transform prototype concepts into production-ready solutions.

Skills

Algorithm Design

Object-Oriented Programming

Problem Solving

Collaboration

Education

Degree in Computer Science, Engineering, Physics, or related field

Tools

Python

Job description

At Kallikor, we’re redefining the future of supply chains and automation by building immersive, world-scale synthetic environments. Leveraging the latest in AI, gaming, and open-source technologies, we empower businesses to continuously optimise, plan, and respond dynamically by providing a digital representation of their entire operations. Through advanced digital twins and enterprise metaverses, our platform allows companies to visualise, analyse, explore, and experiment with their supply chain environments, enabling smarter, faster decisions that drive real-world impact.

At Kallikor, you’ll work alongside individuals who strive for excellence in all they do and are driven to uplift and challenge those around them. We’re motivated by solving complex problems, aiming to achieve transformative change in the industrial landscape. Our roots lie in cutting-edge technology and strategic innovation, originally developed for the gaming, entertainment, and defence sectors. Learn more about our mission at kallikor.ai.

The Role

This is an opportunity to apply your computer science fundamentals to real-world problems. You will work alongside a multidisciplinary team of scientists and engineers to develop models that encode real-life systems and behaviours.

What You Will Do:

• Design and write clean, testable code to implement algorithms for simulation models.
• Collaborate with the team to improve the performance of models.
• Contribute to building pipelines that synthesize data for simulation engines.
• Learn to transform prototype concepts into efficient, production-ready solutions.

About You:

• Algorithmically Minded: You enjoy breaking down complex logic problems and translating them into code.
• OOP Proficiency: You can design and test software in an Object‑Oriented language (we use Python, but we value the fundamental skill set).
• Focus on Impact: You prioritize "getting it right" over "being right." You are proactive about finding the best solution for the team and the product. You lean in to working on the better solution, even if you didn’t come up with it.
• Collaborative: You want to work in an environment where people strive for excellence and uplift those around them.

Requirements:

• A degree in Computer Science, Engineering, Physics, or a related field (or equivalent experience).
• 6–12 months of project or work experience (internships and university projects count).

While we think the above experience could be important, we’re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply.

About Us

Kallikor is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success.

We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status.