7 of 7 Permanent Deep Learning Jobs in the North West

of cybersecurity in one of the UK's most data-rich environments. What you'll do Lead the design, development, and deployment of behavioural anomaly detection models using unsupervised learning, deep learning (e.g. auto-encoders), and novelty detection techniques. Lead a team of Data Scientists Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines … make our Group a great place for everyone. Including you. What you'll need Proven experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and … deep learning architectures. Experience with LLMs and generative AI in production environments is highly desirable. Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations. Excellent communication and customer engagement skills Innovators Attitude - An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber 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 ❯

Talent pool Academic - HE - Academic Group Learning Title Contract type Job advert Lecturer in Computing (Associate Role) Are you a passionate Higher Education Lecturer in Computing looking for an associate role within a dynamic organisation where your work truly makes a difference? Join QAHE and be part of a growing campus community that's student-centric and deeply committed … Cloud Computing Web/Mobile Development OOP, HCI/UX, Graphics Design, Animation Networking, IoT, Computer Hardware Cyber Security, Data Science, Big Data DBMS, Relational Programming AI, Knowledge Engineering, Deep Learning Information Systems Essential Requirements: Master's degree or higher in Computer Science, IT, or related field Experience teaching HE students (Levels 4-7) Hands-on technical competencies 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 ❯

how things are done, not just maintaining what already exists. The Organisation This is a global technology company at the forefront of innovation, developing advanced solutions that integrate AI, deep learning, and next generation hardware. Their cutting edge technology is widely used worldwide, driving secure, automated processes and digital transformation on a large scale. With a strong focus … of £70,000 and they work three days a week onsite at their modern, well equipped offices in Oldham. It's a flexible, supportive environment where experimentation is encouraged, learning is part of the culture, and mistakes are seen as part of progress. Whether you're looking to grow your skills, influence platform direction, or explore new technologies, this More ❯