Translate business requirements into high-quality technical solutions following governance and best practice standards Lead integrations with other enterprise systems via APIs and middleware Ensure data integrity, security, and performanceoptimisation across Salesforce environments Support and mentor junior engineers, sharing knowledge and best practices Stay ahead of Salesforce innovations, driving continuous improvement and scalability What You'll Bring More ❯
Bradford, West Yorkshire, Yorkshire, United Kingdom
Circle Group
and drive project timelines. Mentor and coach developers, fostering a culture of continuous learning and growth. Conduct regular code reviews to ensure adherence to coding standards, best practices, and performance optimization. Act as a technical liaison between backend development and other departments, providing guidance and support as needed. Stay up-to-date with the latest technologies and industry trends More ❯
expertise in Apex (including FFLib), Lightning Web Components (LWC), Flow Builder, SOQL/SOSL, Platform Events, and API integrations (REST/SOAP). • Solid understanding of Salesforce security architecture, performance optimization, and data modeling. • Proven experience leading complex Salesforce projects and aligning technical solutions to business outcomes. • Knowledge of integration design, relational database modeling, web services, and data migration More ❯
reinforcement learning - make these approaches work in a production system. Debug why your theoretically sound approach breaks at scale. Fix it. Ship it. Daily reality includes mathematical derivations and performance optimisation. You'll need to be comfortable moving between theory and systems-level engineering within the same afternoon. Required Qualifications Education & Experience: PhD in Physics: Theoretical/Statistical/… Physics: Quantum Mechanics (Must have) Multi-Dimensional Tensor Networks (Must have) Theoretical physics and statistical physics Dynamic systems (energy landscapes, emergent behaviours) Modelling and simulation Mathematics: Advanced linear algebra, optimisation, numerical methods Information theory Probability, statistics Graph theory Highly Valued: Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural … networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities don't slow you down. You own problems end-to-end. If you need to learn something to solve it, you learn it. You're comfortable with ambiguity and rapid More ❯
