26 to 50 of 145 TensorFlow Jobs in England

LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock ...

related field. Strong software engineering skills: clean code, testing, debugging, version control, and system design. Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX). Hands‐on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Solid understanding of ML fundamentals (model ...

upskilling engineers, building a culture of engineering excellence ────────────────────────────── WHAT WE'RE LOOKING FOR ────────────────────────────── ✅ Expert Python — plus hands-on experience with LangChain, LangGraph, PyTorch, TensorFlow or equivalent ✅ Deep knowledge of LLMs, RAG, prompt engineering, fine-tuning, vector databases, and generative architectures ✅ Production AI/ML delivery experience — real-world impact ...

computer vision, deep learning, or a related AI field. Strong proficiency in Python. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, or similar. Practical experience developing, testing, and deploying computer vision models in production environments. Solid technical understanding of convolutional and transformer-based architectures, such ...

science roles. Proven track record of building, deploying, and maintaining production-grade AI models and pipelines. Strong proficiency in Python, R, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with cloud platforms and ML infrastructure (AWS SageMaker, MLflow). Practical understanding of monitoring, logging, and CI/CD. ...

including: Data exploration, feature engineering, and model development. Experience with Python (preferred) and common data/ML libraries (e.g. pandas, scikit‐learn, PyTorch/TensorFlow or similar). Strong SQL skills and experience working with relational databases or data warehouses. Ability to translate analytical outputs into clear business insights ...

Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent ...

MLflow, Azure ML, Azure DevOps, or similar tools. Strong programming skills in Python and familiarity with common ML/AI libraries, including Scikit-learn, TensorFlow, and Keras. Experience implementing machine learning and large language models, including deployment, monitoring, and retraining. Familiarity with software engineering guidelines, including version control ...

delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with ...

transferable Proven experience as a Machine Learning Engineer within central government or regulated environments Strong programming skills in Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse ...

skills (Python, SQL or similar) Experience building and maintaining data pipelines Working with structured and unstructured data Desirable Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Exposure to Generative AI tools/frameworks (e.g. LLMs, LangChain) Experience with cloud platforms (Azure, AWS, or GCP) Familiarity with data ...

decision-making around cloud architecture, scalability, and system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow/PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering ...

deep learning. Proficiency in data manipulation, feature engineering, and model evaluation. Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit‐learn. Excellent communication skills and the ability to collaborate effectively within cross‐functional teams. A passion for continuous learning and staying ...

What You’ll Bring Strong Python coding skills. Hands‐On AI/ML Expertise: Built and deployed machine learning models using frameworks like PyTorch, TensorFlow, or scikit‐learn. LLM Expertise: Experienced in working with large language models, including prompt engineering, RAG, fine‐tuning, agents, evaluation, and safety considerations ...

Flows). Multimodal Pipelines – Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks – Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education – BS in Computer Science, Engineering, Data Science, or equivalent ...

solutions in Python Solid understanding of the Python ML ecosystem including libraries such as NumPy, pandas, and scikit learn, with exposure to PyTorch or TensorFlow Experience building and deploying containerised services and APIs Working knowledge of SQL and data driven application development Hands on experience with at least ...

Mandatory Skill s:Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fiel d.Expert proficiency in Python and ML frameworks (TensorFlow, PyTorch ).In‐depth knowledge of modern AI techniques: NLP, transformer networks, reinforcement learning, data engineering for A I.Extensive experience with AI/MLOps toolchains ...

record delivering production AI/ML and GenAI at enterprise scale — real impact, not just prototypes Expert Python with hands-on experience in PyTorch, TensorFlow, LangChain, LangGraph, RAG pipelines, and LLMs Solid MLOps/LLMOps fundamentals: CI/CD for ML, model governance, and evaluation frameworks Broad cloud experience ...

such as OpenAI, Hugging Face, or similar Experience building and integrating AI-powered solutions into production systems Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar Familiarity with APIs, microservices, and cloud platforms (Azure, AWS, or GCP) Experience handling and processing large datasets Knowledge of prompt engineering ...

applications from prototype through to live production, ideally across commercial or B2B environments Strong Python development skills and experience with ML frameworks like PyTorch, TensorFlow, or Scikit-learn Familiarity with deployment workflows in cloud platforms such as Azure, GCP, or AWS Experience managing containerised infrastructure using Docker and orchestration ...

Agentic AI systems LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks RAG pipelines and vector databases AI agents and multi-agent orchestration Python, PyTorch, TensorFlow, Scikit-learn Cloud AI platforms such as AWS, Azure, or GCP Production deployment, MLOps, and scalable AI infrastructure API integration and workflow automation Bonus ...

DevOps practices, CI/CD, and infrastructure-as-code • Experience with Docker, Git, and Linux-based environments • Familiarity with machine learning frameworks (e.g. PyTorch, TensorFlow, Scikit-learn) • Experience working in agile delivery teams • Ability to build and maintain scalable, reliable systems • Strong communication skills with the ability to work ...

Agentic AI systems LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar frameworks RAG pipelines and vector databases AI agents and multi-agent orchestration Python, PyTorch, TensorFlow, Scikit-learn Cloud AI platforms such as AWS, Azure, or GCP Production deployment, MLOps, and scalable AI infrastructure API integration and workflow automation Bonus ...

mathematics (probability theory, statistics, optimisation, etc) Proficiency in Python (required) and C++ (preferred for robotics integration) Experience with ML frameworks such as PyTorch (preferred), TensorFlow, or JAX Proven track record building production ML systems, not just research prototypes Strong software engineering fundamentals: modular design, testing, and version control Experience ...

Experience in working with AWS and GCP services for various activities in the data science workflow. Working knowledge of deep learning frameworks such as TensorFlow and PyTorch. Broad understanding of Transfer Learning Models and its application to alternative data in Finance. Good understanding of NLP modelling concepts and ability ...