18 of 18 TensorFlow Jobs in the East of England

and techniques (supervised, unsupervised, reinforcement learning). Solid background in data preprocessing, wrangling, and feature engineering. Proficiency in Python (essential) and familiarity with relevant libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). Experience with prompt engineering and model evaluation. Deployment experience using Docker or other containerisation tools. Exposure to GPU-based environments for large-scale model training and tuning. More ❯

from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with More ❯

or platform services using Microsoft and .NET . 4+ years in a Data Scientist or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation More ❯

or statistical signal processing to sequential data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc. Domains of Particular Interest RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar signal processing Acoustic data processing (including More ❯

a relevant discipline. Strong background in Machine Learning and/or statistical signal processing applied to sequential/sensor data. Proficiency in Python with experience in frameworks such as TensorFlow, PyTorch, or scikit-learn. Demonstrated expertise in developing ML solutions for real-world problems. Desirable Experience (one or more areas): RF communications, radar, sonar, or electronic warfare. Tracking, sensor More ❯

a relevant discipline. Strong background in Machine Learning and/or statistical signal processing applied to sequential/sensor data. Proficiency in Python with experience in frameworks such as TensorFlow, PyTorch, or scikit-learn. Demonstrated expertise in developing ML solutions for real-world problems. Desirable Experience (one or more areas): RF communications, radar, sonar, or electronic warfare. Tracking, sensor More ❯

understanding of data structures, algorithms, and software design principles PREFERRED QUALIFICATIONS Understanding of AI model optimisation techniques Experience with large language models (LLMs) Familiarity with machine learning frameworks (PyTorch, TensorFlow) Experience with AI/ML deployment platforms (Amazon Q) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Strong software engineering and algorithm development skills in Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling More ❯

style setup What you'll bring Strong coding skills with .NET + Python Experience with Azure PaaS (Functions, AKS, API Management) Knowledge of microservices, APIs, and AI frameworks (PyTorch, TensorFlow) Curiosity and passion for AI innovation What's in it for you Work at the forefront of AI technology A culture that values prototyping, learning, and creativity The chance More ❯