Senior Applied AI Engineer

Salary: £65,000 - 105,000 per year

Requirements:

• Strong experience implementing mathematical, physics-based or simulation models in production systems, not only in research code.
• Fluent scientific Python, NumPy, SciPy and similar, with solid software engineering fundamentals.
• Experience with simulation, numerical methods or optimisation techniques, including optimisation under uncertainty.
• A strong academic background in a quantitative field such as physics, applied mathematics or statistics, and the mathematical instinct to pick up an unfamiliar technical domain quickly.
• A track record of taking modelling work from prototype through to tested, production-quality code.
• SC clearance. Active clearance is strongly preferred for this contract given programme timelines; for the right person, genuine eligibility will be considered.

Responsibilities:

• Implement, calibrate and validate physics-based performance models, and build the pipelines around them covering data preparation, calibration, evaluation and deployment.
• Implement optimisation methods, including optimisation under uncertainty, against modelled performance, and integrate meteorological forecast data into the models.
• Evaluate and benchmark outputs against reference cases so results stand up to independent validation, and write secure, high-performance production Python that meets regulated-environment standards.
• Build the decision-support outputs that surface results to operators, working closely with data, platform and product teams, and contribute to the technical development of the wider team.

Technologies:

• AI
• Cloud
• Support
• Python
• Security
• numpy
• Docker
• Kubernetes
• Machine Learning

More:

Morela is proud to be supporting a venture-backed UK technology business building AI systems for highly regulated and security-sensitive environments. We are standing up a brand new modelling and optimisation capability, and this is one of the first senior hires into it. The work is physics-based performance modelling and optimisation, taking models through to robust, tested production code running against real data on a cloud platform. The role is hands-on and delivery-focused, with flexibility to focus either on building and shipping the models or on the modelling and optimisation approach itself within a highly autonomous, full-stack engineering team. This is a contract role, remote across the UK with occasional travel to client sites, offering a competitive day rate and negotiated terms depending on experience and clearance status.

last updated 34 week of 2026