23 of 23 Permanent PyTorch Jobs in the North West

Junior AI Engineer Our client is a rapidly growing tech-driven company based in central Manchester, leveraging artificial intelligence to build smarter, more efficient solutions across their digital platforms. With recent investment and a growing data team, they're looking More ❯

tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge of MLOps is not essential, but some awareness of More ❯

tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge of MLOps is not essential, but some awareness of More ❯

learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies More ❯

Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You'll be skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to … Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc. Skilled in application of MLOps frameworks within a production environment Excellent communication skills, both verbal and written Strong time management and organisation skills Ability to diagnose and troubleshoot More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

latest advancements in generative AI and integrate them into projects Requirements: Proven experience in deploying generative AI models in real-world applications Strong expertise in frameworks such as TensorFlow, PyTorch, or Hugging Face Proficiency in programming languages like Python Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices Excellent communication skills and the ability to work in a More ❯

solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able to gain and maintain the highest More ❯

Machine Learning and Deep Learning concepts, different model types and how to run inference on them. These are principally computer vision models. Experience with Deep Learning frameworks such as PyTorch , TensorFlow, or OpenVino Knowledge of GPU acceleration and optimisation Why Join Us? Be part of a passionate, talented team in a collaborative environment. Work on innovative projects that make a More ❯

across the AI workflowfrom exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant), and MLOps tools (e.g., DVC) is highly valued. A … continuous learning within the team. Skills & Experience: You will have the following skills or proven experience: Strong programming skills in Python and experience with AI/ML libraries (e.g. PyTorch, TensorFlow, HuggingFace Transformers) Experience training and/or fine-tuning machine learning models, ideally including LLMs or other deep learning architectures. Able to work collaboratively with Data Scientists, engineers and More ❯

and evaluation 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 More ❯

TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3-5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React, TypeScript, Node.js) and API development Familiarity with vector databases More ❯

TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3-5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React, TypeScript, Node.js) and API development Familiarity with vector databases More ❯

solving real business problems and seeing their work make a difference. What they're looking for: Strong Python skills and experience with ML libraries like scikit-learn, TensorFlow or PyTorch A good understanding of the full ML lifecycle - from data wrangling to live deployment Comfortable working with both structured and unstructured datasets Ideally some experience deploying models via APIs or More ❯

Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. More ❯

Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. More ❯

with experience shipping ML systems to production Deep familiarity with speech technologies (ASR, TTS), LLMs, or multimodal machine learning Proficient in Python, with expertise in ML frameworks such as PyTorch Experience building scalable ML pipelines (training, validation, deployment, monitoring) Knowledge of Docker, Kubernetes, and ML deployment platforms Comfort reading and adapting recent research papers into performant implementations Strong debugging and More ❯

with teams to design AI systems for diverse industries. What You’ll Bring: • 4+ years of AI/ML experience, including Databricks expertise. • Proficiency in Python and frameworks like PyTorch or TensorFlow. • Knowledge of cloud platforms ( Azure preferred ). • Passion for solving complex problems and innovating in AI. Why Join Us? • Impactful, cutting-edge projects with real-world value. • Career More ❯