10 of 10 TensorFlow Jobs in the North West

or ML, ideally in Defence, Security, public sector or academia. Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or scikit-learn. Familiarity with cloud-based toolkits (AWS, Azure, GCP). Strong communication skills - able to explain complex findings clearly to technical and non-technical stakeholders. Collaborative More ❯

frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

frameworks and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

workflows Collaborating with researchers and clinicians to translate findings into production-grade systems Contributing to peer-reviewed research, publications, and regulatory submissions 🧠 Ideal Profile Strong experience with PyTorch or TensorFlow Expertise in medical imaging (CBCT, MRI, CT, ultrasound, etc.) PhD in AI, Biomedical Engineering, Computer Vision, or related field (or MSc + significant experience) Solid grasp of image segmentation More ❯

common software design patterns Desirable (but not essential): Experience with cloud platforms (AWS, Azure) Familiarity with Docker, Kubernetes , or config tools like Ansible Exposure to machine learning frameworks (e.g., TensorFlow, Amazon ML) Understanding of relational, document, or graph databases What's on Offer: Flexible and hybrid working options 25 days annual leave (with buy/sell and carry-over More ❯

Experience working with AI systems, machine learning models, or related technologies using Microsoft AI tools and Azure. Technical Skills Needed Familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Experience in Microsoft Azure as well as Microsoft AI tools (Copilot) is a must. Proficient in programming languages such as Python, Java, or C++. Understanding of More ❯

Experience working with AI systems, machine learning models, or related technologies using Microsoft AI tools and Azure. Technical Skills Needed Familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Experience in Microsoft Azure as well as Microsoft AI tools (Copilot) is a must. Proficient in programming languages such as Python, Java, or C++. Understanding of More ❯

workflows Collaborating with researchers and clinicians to translate findings into production-grade systems Contributing to peer-reviewed research, publications, and regulatory submissions 🧠 Ideal Profile Strong experience with PyTorch or TensorFlow Expertise in medical imaging (CBCT, MRI, CT, ultrasound, etc.) PhD in AI, Biomedical Engineering, Computer Vision, or related field (or MSc + significant experience) Solid grasp of image segmentation More ❯

workflows Collaborating with researchers and clinicians to translate findings into production-grade systems Contributing to peer-reviewed research, publications, and regulatory submissions 🧠 Ideal Profile Strong experience with PyTorch or TensorFlow Expertise in medical imaging (CBCT, MRI, CT, ultrasound, etc.) PhD in AI, Biomedical Engineering, Computer Vision, or related field (or MSc + significant experience) Solid grasp of image segmentation More ❯