76 to 100 of 126 TensorFlow Jobs in the UK

Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates

Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates

process. Nathan Laidlaw at Transparent Technology will be in touch. Keywords: Senior AI Engineer, AI Research, Machine Learning, LLMs, Agentic Systems, LangChain, LlamaIndex, PyTorch, TensorFlow, MLOps, AWS, GCP, Azure, Sports Data, Sports Tech, London, Hybrid, AI Prototyping, Intelligent Agents, Automation Platforms, Python.

Python Desirable Skills (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) What's on Offer Opportunity

Experience with always-on/low-power detection or audio classification (e.g., VAD, keyword spotting, event detection). Familiarity with ML frameworks (PyTorch/TensorFlow) and the realities of deploying models into production pipelines. Experience with audio frameworks/libraries (GStreamer, WebRTC audio processing, SpeexDSP, RNNoise-like approaches).

alignment. Prototype and deploy AI models for forecasting, customer insights, and fraud prevention. Required Skillset: Advanced Python and experience with AI/ML frameworks (TensorFlow, PyTorch). Strong knowledge of LLMs, Generative AI, RAG, and agentic architectures. Familiarity with prompt engineering, embeddings, and vector databases (FAISS, Pinecone). Hands

Bring 3+ years of professional experience in data science or applied analytics Strong Python skills (Jupyter, numpy, pandas, scipy, scikit-learn, torch, tensorflow) Bachelor’s degree in a quantitative field from the U.S., Canada, UK, Australia, or New Zealand Expertise in EDA, statistical inference, model evaluation, feature engineering

Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding.

Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding.

Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise in time-series and sequence modelling (RNNs, LSTMs, transformers, attention mechanisms) Strong foundation in probabilistic models (HMMs, Bayesian inference, graphical

market microstructure. Hands-on with interactive visualization libraries (e.g., Bokeh). Distributed compute experience (Dask, Ray). Familiarity with ML frameworks (JAX, PyTorch, TensorFlow, XGBoost). Experience with compilers and code generation. Benefits International environment (English as the main language). Pension scheme. Comprehensive health coverage. Team events

market microstructure. Hands-on with interactive visualization libraries (e.g., Bokeh). Distributed compute experience (Dask, Ray). Familiarity with ML frameworks (JAX, PyTorch, TensorFlow, XGBoost). Experience with compilers and code generation. Benefits International environment (English as the main language). Pension scheme. Comprehensive health coverage. Team events

technologies, ability to learn fast Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum

developers and quality assurance engineers Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum

privacy of our users Knowledge, Skills, Qualifications and Experience : Strong knowledge of the theory and maths behind deep learning. Strong Python programming skills (Tensorflow or PyTorch), and the ability to write clean, maintainable code. Strong analytical skills, and a keen interest in problem solving. PhD in computer science, related

Solutions Engineer AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform … experience with Microsoft Azure AI services, including AI Foundry and Microsoft Copilot Studio. Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices

translate business requirements into technical solutions. Data & AI Skills Strong programming skills (e.g., Python, SQL, Java) and experience with AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Ability in data science languages/tools such as R, SAS, or Excel Understanding of entity-relationship modeling, metadata systems … Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks) Skilled in selecting and architecting AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), cloud platforms (Azure, AWS, GCP), and orchestration tools (Docker, Kubernetes) for scalable enterprise AI solutions Ability to apply AI application testing techniques

Proven experience in machine learning, deep learning, and natural language processing Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) Ability to translate complex problems into practical, scalable AI solutions How to Apply: To apply for this job speak to Jack

loves questions more than answers... at least at first. You’ll be: Leading 0→1 development across AI-first products Turning ML capabilities (Python, TensorFlow, PyTorch) into real customer value Working closely with engineering teams using TypeScript, Node.js, React, and Next.js Partnering with data teams working across AWS, Kafka

/DSP coordination). Prior experience deploying neural networks to resource-constrained devices (mobile, automotive, IoT) Professional experience with deep learning frameworks such as TensorFlow, PyTorch, or Caffe. Bonus Points Direct experience with Ambarella SoCs and CVflow architecture Background in computer vision applications (object detection, segmentation, tracking) Experience with

Healthcare technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python PyTorch TensorFlow scikit-learn NLP LLMs Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/

requirements and translate them into robust ML models. Develop, train, and optimise computer vision and deep learning models using Python and popular libraries (e.g., TensorFlow, PyTorch). Integrate ML models into the ScanApp application, ensuring compatibility and scalability. Utilize knowledge of LLMs to enhance model outputs and improve user

experience in AI/ML strategy and implementation within a commercial setting. Strong leadership and team management skills. Hands-on expertise with AI frameworks (TensorFlow, PyTorch) and programming languages (Python, R). Solid understanding of cloud platforms (Azure preferred) and data architecture. Excellent communication and stakeholder engagement abilities. Bonus

above degree in Maths, Physics, Engineering, Computer Science or a similar subject. Strong Python programming skills. Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX. Experience building ML solutions for novel, edge, or resource-constrained environments. Familiarity with a variety of ML techniques (e.g., computer vision, audio

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