6 of 6 Remote/Hybrid Machine Learning Jobs in Cambridge

them into scalable production software, rather than purely research-focused individuals. You will work on a broad range of AI challenges spanning multimodal AI, machine learning, computer vision, LLMs, RAG architectures, transformer models, audio processing and intelligent automation features within a highly collaborative engineering environment. Location: Cambridge, UK. … with a minimum 2.1 degree from a leading university Achieved AAA at A Level or international equivalent Commercial experience in software engineering, AI engineering, machine learning or closely related areas Strong programming ability with confidence in quickly learning new technologies and languages. While the role currently uses ...

good software engineering processes (version control, repositories, testing etc). Understanding how to visualise data for academic and industrial reports. Any experience with applied machine learning techniques used for signal processing would be desirable. Similarly, experience working in biotech or pharmacological projects would be of interest. As this … dynamic company as they begin their growth and be compensated with an excellent remuneration package. Keywords: Data Science, Analytics, Python Development, Algorithms, Optimisation, Machine Learning, Life Science, PhD/Post-Doc, Start-Up Another top job from ECM, the high-tech recruitment experts. Even if this ...

Programme Delivery, Complex Systems, Product Lifecycle, Resource Planning, Stakeholder Management, Digital Transformation, Engineering Leadership, Agile Delivery, High Growth Environment, Scale-Up, Cambridge Tech Jobs, Machine Learning, Data Engineering, Technical Leadership, Delivery Excellence ...

spectral analysis, and adaptive algorithms Experience with real‐time processing constraints and embedded systems programming Preferred Qualifications PhD in a relevant field Experience with machine learning techniques applied to DSP Solid understanding of GNSS principles Familiarity with ARM Cortex‐M processors Hands‐on experience with hardware platforms like ...

science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills … awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible ...

system architecture, with strong problem‐solving skills Have some experience with Python, C/C++, or similar languages, and an interest in AI/ML, graphics, performance engineering, and data analysis Qualities that will help your application stand out: Experience in any of the following areas would be valuable: Experience … with AI/ML frameworks such as PyTorch, TensorFlow, ONNX, or similar Knowledge of Android, Linux, or embedded software development Exposure to GPU, NPU, accelerator technologies, or performance optimisation Interest in computer graphics, computer vision, or modern AI workloads Experience with personal technical projects or contributions to open‐source software ...