19 of 19 Remote TensorFlow Jobs in the East of England

Deloitte landscape and uses cases. 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 ❯

Mathematics, or a related field. 5+ years' experience in data science, with proven success delivering end-to-end projects. Proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong skills in data storytelling, problem-solving, and working with both structured and unstructured data. Experience with APIs, cloud platforms (especially AWS), and MLOps practices More ❯

experience in a leadership or architecture role, ideally with some experience in leading a Centre of Excellence or a similar initiative. • Hands-on experience with Al frameworks such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS, Azure, or Google Cloud. • Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong More ❯

learning engineers, AI researchers, and data scientists, driving end-to-end AI solution delivery. Designing and implementing AI architectures across cloud and on-prem environments, leveraging tools like PyTorch, TensorFlow, and Hugging Face. Spearheading the development of production ready AI models, from foundational LLMs to custom built cognitive agents, solving real world business challenges. Establishing scalable ML/AI More ❯

of Design of Experiment (DoE) Solid understanding of unit operations and process-structure-property-performance relationships in foods. Hands-on experience with machine learning, preferably in Python (scikit-learn, TensorFlow, PyTorch, etc.). Experience with hybrid modelling approaches (combining mechanistic and data-driven models) is a plus. Familiarity with digital twin technologies and in silico experimentation concepts. Collaborative mindset More ❯

teams (ideally 5+ people) Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology More ❯

in a technical discipline (e.g., computer science, chemistry, physics, engineering). Strong background in machine learning, including deep learning and generative models. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Proficiency in Python and C++, with a collaborative mindset. Familiarity with protein structure modeling, co-folding, or related methods; knowledge of organic chemistry is a plus. Why More ❯

knowledge of HW and SW design Developing and working with large software systems in programming languages like Python Knowledge of state-of-the-art deep learning libraries such as Tensorflow and Pytorch Training large deep learning models on powerful GPU-based systems, "Nice To Have" Skills and Experience: ML Model Optimization techniques targeted for resource constrained ARM edge compute 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 ❯

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 ❯

systems, and HW-SW co-design Ability to develop and work with large software systems in programming languages like Python Knowledge of cutting-edge deep learning libraries such as Tensorflow, and Pytorch Willing to learn and train large deep learning models on GPU-based systems Qualities that will help your application stand out: Experience with ML model design, optimization More ❯

Bash A desire to have a positive impact both within our team and the wider Arm ecosystem Strong understanding of machine learning fundamentals and frameworks such as PyTorch and TensorFlow 'Nice to have' abilities and knowledge: Performance evaluation experience and knowledge of potential pitfalls Knowledge of hardware modelling concepts, including configuration and latency definition files Graphics programming experience with More ❯

engineering ability, particularly around computational modelling for image analysis, image processing and/or machine learning (ideally CNNs for volumetric data). Increasingly, software architecture is a consideration. Python, TensorFlow, Keras, PyLattice or similar technologies would be indicative; additional languages such as C++ are also acceptable. Familiarity with computer vision, big data, geometric feature extraction, cellular imaging, timelapse imaging More ❯

Senior Machine Learning Research Engineer Salary: £62,860 - £84,070 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contracts: • 1x Permanent, Full Time (35 hours per week) • 1x Fixed Term (18 months), Full Time (35 hours More ❯

Understanding of firmware development processes, from simulation and testbench creation through to embedded implementation Familiarity with tools/libraries such as MATLAB, Python (NumPy/SciPy), GNU Radio or TensorFlow for DSP/ML integration Comfortable working in Linux and/or Windows development environments Why this role? Be part of a company trusted by governments, airports and defence More ❯

Understanding of firmware development processes, from simulation and testbench creation through to embedded implementation Familiarity with tools/libraries such as MATLAB, Python (NumPy/SciPy), GNU Radio or TensorFlow for DSP/ML integration Comfortable working in Linux and/or Windows development environments Why this role? Be part of a company trusted by governments, airports and defence More ❯

skills for collaborating with remote teams across different time zones. "Nice To Have" Skills and Experience : Experience of Windows WDDM or Linux kernel driver development. Experience of AI frameworks (TensorFlow, PyTorch, ONNX). Knowledge of multimedia use cases including video, camera, display, and GPU. In Return: You will have the opportunity to demonstrate technical expertise and leadership skill to More ❯

Senior Software Engineer - AI Platform & Cloud Services page is loaded Senior Software Engineer - AI Platform & Cloud Services Apply locations Cambridge, United Kingdom time type Full time posted on Posted 2 Days Ago job requisition id R010670 AVEVA is creating software More ❯

Lead AI Engineer - Cloud & Platform Services page is loaded Lead AI Engineer - Cloud & Platform Services Apply locations Cambridge, United Kingdom time type Full time posted on Posted 2 Days Ago job requisition id R011753 AVEVA is creating software trusted by More ❯