real impact where your ideas won’t just be heard, they’ll be built into the core of the product. What You’ll Be Doing: Designing and implementing advanced imageprocessing algorithms Writing clean, scalable, and well-documented C code Collaborating closely with stakeholders to shape and refine requirements Optimising performance for real-time and high-resolution processing What You’ll Bring: Strong C skills for high-performance development - open to other languages Deep knowledge of imageprocessing techniques: edge detection, filtering, segmentation, colour correction, and more Experience with 3D reconstruction: stereo vision, point clouds, marker detection, image mapping Expertise in camera calibration (intrinsic/extrinsic models) Familiarity with camera control protocols: GigE Vision More ❯
with large datasets from rig and flight trials and use analytical techniques to evaluate radar performance against requirements and raise Systems Problem Reports (SPR) for detailed investigation. Apply signal processing, imageprocessing, and object classification techniques to extract actionable insights. Investigate system anomalies using real trial data, ensuring performance meets specifications. Work collaboratively with multidisciplinary teams to … an emphasis on the middle to right side (implementation, integration, testing, and V&V). Previous proven ability within a similar industry and supporting engineering tests/trials and processing of large data sets. Proven ability in safety-critical systems. Understanding of radar or complex sensor systems would be beneficial. Additional Please note, due to the sensitive nature of More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
McGregor Boyall
to scalable, production-ready solutions in a collaborative, agile environment. What You'll Do: Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI systems using AWS (Lambda, S3, SQS, EKS … fine-tuning (LoRA, QLoRA, etc.). AI Engineer requirements: Solid Python skills (3.9+) with deep knowledge of async, OOP, and performance tuning. Hands-on experience with LLM fine-tuning , imageprocessing, and ML libraries. Experience building and maintaining cloud-native AI/ML services . Familiarity with Agile development , TDD, and infrastructure-as-code. Bonus: experience with multi More ❯