251 to 275 of 344 TensorFlow Jobs in London

this could be a great fit. Join the team to make a difference today. London - 2 - 3 days onsite Salaries - £75 - 100k Senior Data Scientist - ML, Python, SQL, PyTorch, TensorFlow, GCP If this is of interest please apply or reach out to will.semple@oliverbernard.com. More ❯

manage whilst doing code reviews, reporting into the CTO SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance, Computer Vision Management and leadership experience is required Excellent communication More ❯

lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points More ❯

lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points More ❯

lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points More ❯

deep expertise in C and C++ programming, ML framework internals, compiler construction, and optimisation techniques. Key Deliverables: Implement Runtime: Build a runtime that seamlessly integrates with PyTorch, JAX, and TensorFlow (PJRT) for both training and inference execution patterns. The runtime must support asynchronous execution and multiple devices. Implement Compiler: Build a compiler that is extensible to future optimisation patterns More ❯

concepts for different audiences and help upskill teams in AI tech. What They’re Looking For Solid AI/ML experience with a strong grasp of Python & frameworks like TensorFlow/PyTorch. Strong back-end engineering skills (Python or Node.js, bonus points for React/front-end experience). Experience deploying AI models into real-world applications. Great problem More ❯

concepts for different audiences and help upskill teams in AI tech. What They’re Looking For Solid AI/ML experience with a strong grasp of Python & frameworks like TensorFlow/PyTorch. Strong back-end engineering skills (Python or Node.js, bonus points for React/front-end experience). Experience deploying AI models into real-world applications. Great problem More ❯

5+ years of professional experience in C/C++ software engineering Strong background in compilers , runtime systems , and low-level optimisations Deep familiarity with ML frameworks (e.g., PyTorch, JAX, TensorFlow) and their execution models Experience with high-performance computing or hardware-software co-design Strong problem-solving skills with a creative and pragmatic mindset Comfortable operating in fast-paced More ❯

and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity More ❯

and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity More ❯

Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯

a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc. More ❯

a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc. More ❯

with 3+ years of experience, including 1+ year in AI/ML and related areas. Strong programming skills in Python (or similar), with experience in ML frameworks like PyTorch, TensorFlow, or HuggingFace. Hands-on experience with LLMs, embeddings, vector databases, and prompt engineering. Familiarity with deploying models in production environments (Docker, Kubernetes etc.). Passion for developer tools, open More ❯

machine learning - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - 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 employing a diverse workforce is More ❯

Document Processing (IDP) , including Generative AI and open-source models. Proven Python development experience, with a focus on ML, NLP, image processing, and OCR. Familiarity with frameworks such as TensorFlow , PyTorch , Hugging Face , SpaCy , OpenCV , and Regex . Proven ability to deploy secure, production-grade code and APIs while ensuring cybersecurity and application resilience. Nice to Have: Experience with More ❯

enthusiasm for creating and optimising digital media Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day one. We're an agile company at the forefront More ❯

enthusiasm for creating and optimising digital media Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day one. We're an agile company at the forefront More ❯

Dataflow, Apache Beam, or Spark You care about agile software processes, data-driven development, reliability, and disciplined experimentation You have experience and passion for fostering collaborative teams Experience with TensorFlow, pyTorch, and/or other scalable Machine learning frameworks Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like More ❯

SystemC, custom in-house). Solid grasp of computer-architecture fundamentals: memory systems, interconnects, queuing theory, Amdahl/Gustafson analysis. Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX). Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples More ❯

SystemC, custom in-house). Solid grasp of computer-architecture fundamentals: memory systems, interconnects, queuing theory, Amdahl/Gustafson analysis. Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX). Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples More ❯

SystemC, custom in-house). Solid grasp of computer-architecture fundamentals: memory systems, interconnects, queuing theory, Amdahl/Gustafson analysis. Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX). Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples More ❯

SystemC, custom in-house). Strong grasp of computer-architecture fundamentals: memory systems, interconnects, queuing theory, Amdahl/Gustafson analysis. Familiarity with machine-learning workloads and common frameworks (PyTorch, TensorFlow, JAX). Comfort reading RTL or schematics and discussing micro-architectural trade-offs with hardware designers. Excellent data-visualisation and communication skills: able to turn millions of simulation samples More ❯

2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end-to-end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals More ❯