76 to 100 of 139 TensorFlow Jobs in the UK

Skills and Experience: Strong Python programming skills for AI/ML development. Hands-on experience with at least one major ML framework (e.g. PyTorch, TensorFlow, scikit-learn). Experience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production environments. ...

familiarity with good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit‐learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities ...

equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable: Exposure to machine learning frameworks such as PyTorch, JAX, Triton, TensorFlow Experience with distributed workload management systems such as Kubernetes, VLLM, Keras or MLOps pipelines Experience working with hardware simulators or emulators (e.g. QEMU). ...

tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches ...

tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches ...

model inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

research in machine learning, evidenced by publications or prior research roles. Experience in programming with Python-based scientific libraries (e.g., NumPy, SciPy, JAX, or TensorFlow). Experience with language models (LLMs), transformers, diffusion models, text diffusion, or distributed training. Experience with machine learning, mathematics, and statistics (e.g., linear algebra ...

most, of the following: ** Python ** Experience in AI Solution Integration, Data Science or Data Engineering ** Open AI or Gen AI ** Proficiency in TensorFlow or PyTorch ** Knowledge of Elasticsearch or Graph databases like Neo4J ** CI/CD pipelines, Terraform The Company & Culture: Having met most of the team, I know ...

with messy, real-world data Experimentation and A/B testing, and causal inference techniques Cloud and notebook environments; exposure to ML frameworks (PyTorch, TensorFlow) is a plus Awareness of LLMs and generative AI for applied use cases A note on scope: this lane is about insight, experimentation ...

leadership Deep expertise in a relevant technical domain such as ML systems, data pipelines, backend engineering, or cloud infrastructure Hands‐on experience with PyTorch, TensorFlow, or similar ML frameworks Strong understanding of scalable APIs, cloud‐native systems, and modern engineering practices Experience creating Proof of Concepts and evaluating technical ...

Strong Python programming skills for AI/ML development.\ N\n Hands-on experience with at least one major ML framework (e.G. PyTorch, TensorFlow, scikit-learn).\ N\n Experience building and maintaining end-to-end ML pipelines (data ingestion, pre-processing, training, evaluation, deployment) and deployment to production ...

relevant work experience Preferred Qualifications Experience using managed ML/AI solutions Experience with modeling tools such as R, scikit‐learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that ...

Hands-on experience and solid understanding of machine learning and deep learning methods \n Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) \n Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model ...

Hands-on experience and solid understanding of machine learning and deep learning methods \n Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) \n Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model ...

fields Hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance ...

including code reviews and setting software engineering best practices \n \n Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. \n \n Experience working with structured and unstructured data, such ...

general understanding of REST APIs (design, integration, authentication). You have experience building, tuning, or deploying ML models (e.g., scikit‐learn, XGBoost, PyTorch, TensorFlow) in production settings. Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong plus. You are comfortable explaining ...

Forward Deployed Engineer Machine Learning, Python, PyTorch, TensorFlow, LLMs, RAG, Generative AI, Agentic Systems, Cloud, Consulting, Solutions Engineering, EMEA (Remote) Very Attractive Salary + Benefits This is a fantastic opportunity for a Senior AI Forward Deployed Engineer to join a leading technology consulting and AI delivery organisation, working directly ...

problems. The ideal candidate has a PhD in a quantitative discipline, with a strong background in machine learning, deep learning, and relevant tools like TensorFlow and PyTorch. Experience in the financial services industry is preferred. #J-18808-Ljbffr ...

Forward Deployed Engineer Machine Learning, Python, PyTorch, TensorFlow, LLMs, RAG, Generative AI, Agentic Systems, Cloud, Consulting, Solutions Engineering, EMEA (Remote) Very Attractive Salary + Benefits This is a fantastic opportunity for a Senior AI Forward Deployed Engineer to join a leading technology consulting and AI delivery organisation, working directly ...

Machine Learning, or a related field.\* Strong publication record in relevant AI/ML conferences/journals.\* Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch).\*\*Preferred Qualifications:\*\*\* Experience with large-scale generative models.\* Expertise in areas like NLP, computer vision, or reinforcement learning.\* Proven ability to lead ...

cleansing, enrichment, and integration from many sources. Python + ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. ...

reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level and mentor ...

equivalent work experience delivering state‐of‐the‐art AI/ML solutions. Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow). Familiarity with machine learning literature and state‐of‐the‐art approaches. Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise ...

Strong software development skills with proficiency in multiple programming languages (Python, JavaScript/TypeScript, etc.) \n Hands-on experience with machine learning frameworks (PyTorch, TensorFlow, or similar) \n Extensive daily use of generative AI tools for coding (Claude, Cursor, GitHub Copilot, or equivalent) \n Proven ability to deliver working ...