18 of 18 Permanent TensorFlow Jobs in the North of England

Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models ...

Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models ...

Machine Learning, predictive modelling and applied AI, developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models ...

evaluate applicability to client projects Requirements 5+ years of experience in machine learning engineering or applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience ...

would be highly beneficial: - Machine Learning and AI Engineering- Generative AI and Large Language Models- Prompt engineering and context engineering- scikit-learn, PyTorch or TensorFlow- LangChain or similar AI frameworks- Cloud data platforms and services across AWS, Azure or GCP- Data warehouses and modern data platforms- Big data ...

field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control ...

communication skills. Desirable Experience Machine Learning model development and training. LLMs, transformers, RAG and Agentic AI. LangChain, LangGraph or similar AI orchestration frameworks. PyTorch, TensorFlow, Scikit-learn or Hugging Face. Vector databases, embeddings and model evaluation. NLP, Computer Vision or multimodal AI. Edge AI, AI safety, security or explainability. ...

Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks ...

modeling, Practical experience with ML model deployment (on cloud or on-premise), Solid programming skills in Python (NumPy, pandas, scikit-learn, matplotlib, PyTorch or TensorFlow), Understanding of Windows or Linux software development platforms Good understanding of statistics and data preparation, Working knowledge of SQL and version control tools ...

judgement-based decision-making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private AI, Nvidia ...

with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection, and time series forecasting. ...

research, experiment with new approaches and still care about getting models into production properly. What you could be working across Python PyTorch, TensorFlow or scikit-learn LLMs, RAG, agents and evaluation ML research and rapid prototyping MLOps and production ML pipelines Model deployment, monitoring and lifecycle tooling AWS, Docker ...

areas such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging Face, cloud platforms, MLOps, computer vision, NLP, geospatial data or multimodal AI would also be of interest, although candidates are not expected ...

similar LLM platforms and exposure to agentic architectures (multi-agent systems, orchestration, HITL workflows) Experience with vector databases and familiarity with PyTorch or TensorFlow Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants ...

success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. ...

with LLMs, RAG or generative AI models. Fine-tuned models using standard frameworks. Experience of Reinforcement Learning approaches. Strong programming expertise in Python, including TensorFlow, PyTorch, Google GenAI or Hugging Face. Proven experience building autonomous agents using Google ADK or similar Agentic frameworks Experience with vector databases and retrieval … architecting and maintaining large-scale ML systems Strong understanding of statistical modeling, deep learning, and optimization techniques Technical Skills Expertise in deep learning frameworks (TensorFlow, PyTorch). Proficiency in Agentic Design Patterns (ReAct, Chain-of-Thought, Tool-use) and state management for conversational AI. Strong software engineering background (Python ...

tech stack spanning (in order of importance): Native iOS (Swift, SwiftUI, AVFoundation, Core ML, Vision) Native Android (Kotlin, Jetpack Compose, CameraX, ML Kit, TensorFlow Lite) Computer vision and on‐device ML for Q-ID authentication Mobile SDK design and distribution, for partners embedding Q-ID into their own apps … native Android (Kotlin). Experience with camera, computer vision and on‐device ML on mobile (Core ML/Vision/ML Kit/TensorFlow Lite, or equivalent). Experience designing and shipping a mobile SDK consumed by third‐party developers. Strong engineering fundamentals (SOLID, TDD, clean architecture ...

AI Software Engineer Machine Vision We are looking for an AI Software Engineer to develop software and artificial intelligence models, primarily for machine vision applications. Combining software engineering with applied AI, you will help turn ...