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£39,000 – £49,000 pa On-site Permanent Clearance Required

Software Engineer

The Software Engineer will work on the complete development lifecycle of flight safety and navigation systems, from concept and algorithm design to system integration and testing. You will collaborate with a multidisciplinary team to deliver high-performance solutions, maintain high-quality code, and produce comprehensive documentation.

Flarebright

Bicester

£90,000 – £100,000 pa Hybrid Permanent

Head of AI

As Head of AI, you will lead the development and implementation of AI strategies, governance, and capabilities at LPPA, a leading pension administration company. You will work closely with the CTO and executive team to identify and deliver AI opportunities that enhance operational efficiency, service quality, and member outcomes. Key responsibilities include building the AI team, establishing governance frameworks, and fostering AI adoption across the organization.

Local Pensions Partnership Administration

Preston

Hybrid Permanent Clearance Required

Engineering Manager - dominAI

The Engineering Manager for the dominAI team will lead a multidisciplinary engineering group, focusing on people management, delivery, and technical direction. Key responsibilities include setting clear expectations, removing blockers, and partnering with the Product Manager to align on priorities and technical investments. The role involves hands-on coding, hiring, and shaping the team's environment and processes.

Hadean

London

Hybrid Permanent Part-time

Senior Computational Chemist, LNP Design

This role involves leading the computational design of lipid nanoparticles for nucleic acid delivery, using chemical and biophysical principles, AI tools, and molecular simulations. You will work closely with the experimental team to translate computational insights into testable strategies and refine formulations iteratively.

CureAge Therapeutics

London

£375,000 – £640,000 pa Hybrid Permanent

Research Engineer, RL Scaling Science

Designs and runs large-scale reinforcement learning experiments to understand how RL behaves as model size, compute and task horizon scale, then turns validated findings into production training recipes. Builds long-horizon RL benchmarks and debugs failures that only surface at the research-infrastructure boundary, working closely with adjacent RL teams.

Anthropic

London

On-site Permanent

Senior Machine Learning Research Engineer

Develops learning-based locomotion and whole-body control policies for humanoid robots, using reinforcement and imitation learning, generative models and physics simulation. Builds scalable training pipelines in Isaac Lab and MuJoCo, then deploys and fine-tunes policies on real hardware, tackling sim-to-real transfer and real-time inference latency.

Humanoid

London