5 of 5 Permanent Deep Learning Jobs in the North West

What You Will Do Design and implement scalable ML and deep learning models using PyTorch, TensorFlow, Scikit-learn, and other modern frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources … domain applications. Drive innovation in prompt engineering and generation pipelines for AI-assisted systems. Skills and Experience You Will Need Required: 5+ years of hands-on experience in machine learning, with at least 2 years focused on deep learning and LLM applications. Strong programming experience in Python and hands-on development of ML pipelines. Solid knowledge of … machine learning algorithms, statistics, and deep learning. Proven experience with PyTorch, TensorFlow, Scikit-learn, and transformer-based models. Practical knowledge of LLM integration (e.g., GPT, Claude) and RAG architecture. Experience with ML lifecycle management tools like AWS SageMaker, MLflow, or Databricks. Working knowledge of CUDA, Nvidia GPUs, and distributed training. Experience with AWS services (S3, Lambda, EC2, SageMaker More ❯

be part of a world-class team of PhDs, ML engineers, and imaging specialists building the future of healthcare AI. 🔬 What You'll Be Working On Designing and training deep learning models on 3D medical imaging data (CBCT, MRI, CT, etc.) Developing preprocessing and segmentation pipelines for volumetric datasets Building robust, scalable training and evaluation workflows Collaborating with … CBCT, MRI, CT, ultrasound, etc.) PhD in AI, Biomedical Engineering, Computer Vision, or related field (or MSc + significant experience) Solid grasp of image segmentation, 3D data handling, and deep learning architectures Bonus: experience in regulated environments (e.g. ISO 13485, FDA) ✅ What’s On Offer High-impact work shaping the future of AI in healthcare Collaborate with exceptional More ❯

segmentation, and tracking. You will be working in an environment that values technical depth, rigorous research, and practical application of cutting-edge ideas. Key responsibilities include: Designing and optimising deep learning models for real-world performance. Building robust computer vision pipelines for detection, segmentation, and tracking. Combining classical computer vision methods (OpenCV, feature extraction, motion tracking) with modern … data science techniques to evaluate and refine models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying deep learning models at scale. Expertise in OpenCV and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset … curation and management for machine learning pipelines. A data-driven approach with excellent skills in metrics and statistical analysis. Passionate about applying computer vision research to solve complex, real-world problems. The role is offering a base salary of £70,000 per annum + a wealth of benefits, including a bonus of up to 100%. This is a More ❯

based in Bangkok. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML … team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big More ❯

Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid … you against these behaviours during the selection process: Leadership Communicating and Influencing Delivering at Pace Technical skills We'll assess you against these technical skills during the selection process: Learning and development tailored to your role. An environment with flexible working options. A culture encouraging inclusion and diversity. ACivil Service Pension which provides an attractive pension, benefits for dependants More ❯