1 to 25 of 363 Permanent TensorFlow Jobs in the UK

technical specifications, and validate model performance in production environments Optimize existing AI/ML workflows for scalability, efficiency, and reliability using frameworks like PyTorch, TensorFlow, or cloud-based infrastructure Collaborate with research scientists to adapt cutting-edge algorithms (e.g., LLM fine-tuning, reinforcement learning) into actionable business solutions Document ...

technical specifications, and validate model performance in production environments Optimize existing AI/ML workflows for scalability, efficiency, and reliability using frameworks like PyTorch, TensorFlow, or cloud-based infrastructure Collaborate with research scientists to adapt cutting-edge algorithms (e.g., LLM fine-tuning, reinforcement learning) into actionable business solutions Document ...

technical specifications, and validate model performance in production environments Optimize existing AI/ML workflows for scalability, efficiency, and reliability using frameworks like PyTorch, TensorFlow, or cloud-based infrastructure Collaborate with research scientists to adapt cutting-edge algorithms (e.g., LLM fine-tuning, reinforcement learning) into actionable business solutions Document ...

technical specifications, and validate model performance in production environments Optimize existing AI/ML workflows for scalability, efficiency, and reliability using frameworks like PyTorch, TensorFlow, or cloud-based infrastructure Collaborate with research scientists to adapt cutting-edge algorithms (e.g., LLM fine-tuning, reinforcement learning) into actionable business solutions Document ...

from ideation or experimental Jupyter notebooks to full production deploym ent.Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-le arn.Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential testing, Python package building ...

from ideation or experimental Jupyter notebooks to full production deploym ent.Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-le arn.Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential testing, Python package building ...

Support evidence-based decision-making across HR and the wider business. Skills And Requirements Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, and experience with AI frameworks for deep learning and generative models) and SQL. Experience working with HR data sources (Workday, SuccessFactors, Oracle HCM, LinkedIn ...

building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model ...

years of technical leadership experience managing a team of Data Scientists and ML Engineers. Expertise: Expert-level proficiency in core ML frameworks (e.g., PyTorch, TensorFlow) and data science languages (Python). Generative AI: Proven experience building a commercial practice or product focused on Generative AI and Large Language Models ...

supervised, unsupervised, and reinforcement learning Experience applying statistical modelling, time-series forecasting, and predictive analytics in practical scenarios Experience with deep learning frameworks (e.g. TensorFlow, PyTorch, Keras) Knowledge of prompt engineering, RAG (Retrieval Augmented Generation), and LLM fine-tuning techniques Familiarity with distributed computing frameworks (e.g. Spark) Knowledge ...

maintainable code Solid understanding of ML fundamentals. For example feature engineering, model selection, handling imbalanced data, choosing and interpreting metrics Experience with PyTorch or TensorFlow GenAI specific Hands on experience with LLM APIs or open source models such as Llama or Mistral Experience building RAG systems with vector databases ...

Cloud, or Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps ...

skills are indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision ...

Bedrock, etc.) Experience with distributed training (Horovod, Ray, etc.) Proven work with generative AI and LLM applications Strong Python and ML framework skills (PyTorch, TensorFlow, etc.) Experience with MLOps practices and tools Strong communication and customer-facing skills Familiarity with Docker, Kubernetes, and Terraform – an advantage AWS ML Specialty ...

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

Data & Computation services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React/CSS/JavaScript Azure infrastructure R, Powershell Kubernetes/Docker Tensorflow/Pytorch Principles: Data Modelling Data Science Data Warehouse Theory Data Architecture Master Data Management Key Words: Azure - AI - Artificial Intelligence - ML - Machine Learning ...

Data & Computation services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React/CSS/JavaScript Azure infrastructure R, Powershell Kubernetes/Docker Tensorflow/Pytorch Principles: Data Modelling Data Science Data Warehouse Theory Data Architecture Master Data Management Key Words: Azure - AI - Artificial Intelligence - ML - Machine Learning ...

Cloud, or Azure) and modern DevOps practices (Infrastructure-as-Code). Proficiency with Git, Unix/Linux, Docker. Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn (commercial experience not essential). Excellent communication skills for both internal and client-facing interactions. Awareness of MLOps ...

semantic search. Expert-level programming skills in Python, with deep, hands-on experience using data science and ML libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. Experience with data storage technologies (e.g., SQL, NoSQL, Key-value) and their scaling characteristics. Experience with large-scale data processing technologies (e.g. ...

with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing ...

with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service/REST API on Cloud or Kubernetes, and proficiency in testing ...

series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from ...

experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/ ...

learning methods, and familiarity with large language models. Extensive experience with machine learning and deep learning toolkits (e.g. NumPy, Scikit-Learn, Pandas, Hugging Face, TensorFlow, PyTorch, etc.). Experience in building and deploying ML models on AWS, especially using AWS tools like SageMaker, EC2, Glue, etc. Experience with ...