We’re growing fast and looking for a talented Senior Software Engineer to help us build the next generation of Machine Learning, automation, and intelligent systems.
This isn’t a narrow role. It’s for someone who wants to think deeply, build end to end, and own outcomes. From system design and core architecture to optimisation and experimentation, you’ll work across the full technology stack and tackle problems from first principles.
This role sits within Chaos Theory Labs, part of BleuBox Group, and is ideal for someone with an entrepreneurial mindset who wants responsibility, autonomy, and a clear path toward becoming a Staff Engineer over time.
Skills and Qualifications:
* Expert in Python, C++, C#, Go, or Rust, with a focus on high-performance and scalable systems
* Design and deploy end-to-end AI pipelines, from data collection to production
* Develop predictive models, simulations, and digital twins of real-world systems
* Build automated systems that reduce operational workload and errors
* Strong background in algorithm design, analytical problem-solving, and statistical inference
* Advanced data analysis using NumPy, SciPy, and statistical modelling (including Bayesian methods)
* Proficient in Git, collaborative workflows, clean code practices, and performance-oriented design
* Experience with SQL databases (PostgreSQL/MySQL), schema design, and query optimisation
* Develop and optimise machine learning models using TensorFlow, PyTorch, and scikit-learn
* Expertise in deep learning architectures (CNNs, RNNs, Transformers) and genetic algorithms
* Apply systems thinking to architecture design, control systems, and feedback loops
* Lead iterative prototyping, testing, and reliability-focused engineering and optimisation
* Design and maintain automated workflows and production ML systems (MLOps)
* Deploy and monitor models using Docker, Kubernetes, and CI/CD pipelines
* Work with cloud platforms (AWS, Azure, GCP) and distributed systems (microservices, event-driven systems)
We’re particularly keen to hear from you if you have experience in:
* Finance, especially fintech or trading, or
* LLM fine-tuning, customisation, and applied ML systems
(You don’t need experience in both — strong engineers from other backgrounds are very welcome.)
You can read the full job description here: https:///id/urn:aaid:sc:EU:cdf211f5-5f83-4482-9f98-375064cbd733
This is for someone who enjoys building things properly, takes pride in clean thinking and clean systems, and wants their work to genuinely matter. If you’re ambitious, curious, and motivated by solving meaningful problems, and you want to grow fast in an environment that values good engineering over noise, we’d love to hear from you.
About the role
* Experience Required: Minimum 5 years commercial experience
* Role: Full-time, permanent
* Location: Remote, with occasional travel for meetings
* Salary: £70,000–£80,000 (depending on experience)
* Company Benefits: Company bonus scheme; 31 days annual leave + a day for your birthday + bank holidays
📩 If this sounds like you (or someone in your network), drop us a message or share this post. If you have any questions, please contact
Closing date: Monday, 2 March 2026, 12:00.