7 of 7 Permanent Machine Learning Engineer Jobs in the South West

New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We’re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation … models. Key responsibilities and requirements for the Machine Learning Engineer job: Train and deploy SOTA models on production-scale datasets Optimize models using pruning, quantization, distillation Enhance speech features (diarization, multilingual, keyword boosting) Scale training workflows across multi-GPU systems Apply and influence the latest ML research … Key skills/experience required for the Machine Learning Engineer job: MSc/PhD in a relevant field with strong ML/deep learning foundations Hands-on experience with PyTorch or TensorFlow Expertise in model training at scale and GPU systems Knowledge of model compression and More ❯

Senior Machine Learning Engineer (Medical AI) – Cambridge/Remote £60,000 - £70,000 + Stock options Are you passionate about using AI to transform healthcare? An innovative, Cambridge-based medical technology start-up is seeking a Senior Machine Learning Engineer to join their growing … team. This is a unique opportunity to work at the intersection of cutting-edge machine learning, medical imaging, and real-world clinical impact. About the Company Our client develops advanced software to detect cancer using AI and MRI, aiming to make cancer screening more accurate, accessible, and cost … the Cambridge research community, they are building a collaborative team of experts in AI, user interfaces, and medical imaging. The Role As a Senior Machine Learning Engineer, you will lead research and development projects from initial concept through to integration into production software. You will work extensively More ❯

An exciting opportunity for a Machine Learning Engineer has arisen with a pioneering deep-tech startup at the forefront of sensor technology innovation, based in Bristol. This is a great opportunity for a Machine Learning Engineer to push the boundaries of silicon photonics and … circuits and micro-mechanical systems. You will commit to a hybrid working model, required onsite at least 3 days a week. Experience for the Machine Learning Engineer includes: Experience developing and deploying ML models for optimisation or simulation Proficiency in Python and ML frameworks (TensorFlow, PyTorch) Bonus … Cloud platforms (AWS, GCP, Azure) If you are a Machine Learning Engineer looking for an exciting challenge in a fast-paced, collaborative start-up environment, then please apply today to learn more. More ❯

An exciting opportunity for a Machine Learning Engineer has arisen with a pioneering deep-tech startup at the forefront of sensor technology innovation, based in Bristol. This is a great opportunity for a Machine Learning Engineer to push the boundaries of silicon photonics and … circuits and micro-mechanical systems. You will commit to a hybrid working model, required onsite at least 3 days a week. Experience for the Machine Learning Engineer includes: Experience developing and deploying ML models for optimisation or simulation Proficiency in Python and ML frameworks (TensorFlow, PyTorch) Bonus … Cloud platforms (AWS, GCP, Azure) If you are a Machine Learning Engineer looking for an exciting challenge in a fast-paced, collaborative start-up environment, then please apply today to learn more. More ❯

Hours: Full time Reports to: Defect Detection Team Lead Location: Exeter or Bristol, minimum of 3 days in the office. Role Overview: As a Machine Learning Engineer at DeGould you will be responsible for building and maintaining our labelling, training and production inference data pipelines to produce … is to be the standard for new vehicle inspection in the automotive sector. Key Responsibilities: The main deliverables of the role are: Deliver performant machine learning models for customers. Building capabilities to monitor and evaluate model performance and metrics. Detailed duties of the role include: Write production, robust … readable and extendable code to support machine learning pipelines. Use industry best practices and seek to implement improvements across the machine learning lifecycle. Continuous evaluation of models in production and system performance analysis. Proactively seek technical solutions that solve customer problems. Stay up to date and More ❯

Senior Machine Learning Engineer - Computer Vision Paying up to £110/120k London - remote first A chance to work closely with professional sport!! I am currently working with a global leader within performance enhancing sports analytics, who are currently expanding their AI offerings and are looking to … hire Senior Machine Learning Engineers with expertise in Computer Vision. Their platform captures, analyses, and delivers insights from live video to transform how sports teams perform at every level, with a strong emphasis in professional sport. If you're looking for a company that prioritises innovation, autonomy while … most exciting challenges in sports tech today then this is a great opportunity for you! About the Role I'm looking for a Senior Machine Learning Engineer to drive high-impact initiatives using cutting-edge computer vision (real-time) and deep learning. You'll work on projects More ❯

Job Specification: Machine Learning Engineer (NLP) (Pytorch) Location: Bristol, UK (Hybrid - 2 days per week in the office) About the Role I'm looking for an NLP Engineer to join a forward-thinking company that specialises in advanced risk analytics and machine learning. This is … apply them to improve existing models. Build and maintain scalable data pipelines for processing both structured and unstructured data efficiently. Evaluate and fine-tune machine learning models to ensure optimal performance. Ensure models and data pipelines adhere to best practices for security, robustness, and compliance. Document processes and … Need A degree in Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred but not essential). Strong understanding of machine learning algorithms and NLP techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP More ❯