126 to 150 of 261 PyTorch Jobs in London

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 leading projects across Computer Vision Management and leadership experience is required Excellent communication skills with proven experience working with More ❯

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 More ❯

or related field 3-5 years experience in NLP subdomains like sentiment analysis or natural language understanding Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Hugging Face, etc.) Strong understanding of machine learning engineering and software development Experience with data preprocessing, feature engineering, and model evaluation Experience in financial services More ❯

least 3+ years in machine learning or AI-focused roles, ideally in a commercial setting. Technical Skills : Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn . Strong understanding of machine learning algorithms, data pipelines, and model deployment. What’s on Offer: Very competitive salary and stock options. Hybrid More ❯

least 3+ years in machine learning or AI-focused roles, ideally in a commercial setting. Technical Skills : Proficiency in Python and libraries like TensorFlow, PyTorch, scikit-learn . Strong understanding of machine learning algorithms, data pipelines, and model deployment. What’s on Offer: Very competitive salary and stock options. Hybrid More ❯

understanding of data privacy regulations, model security, and designing solutions that are compliant with industry standards. Background in machine learning libraries such as TensorFlow, PyTorch, or XGBoost for model development and training. Familiarity with serverless computing for ML workflows using AWS Lambda and API Gateway, and multi-cloud environments. If More ❯

recommendation systems. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with TensorFlow, PyTorch, Scikit-learn, etc. is a strong plus. You have some experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark More ❯

Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications More ❯

foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like IEC 62304 or ISO 13485. Experience with More ❯

C++, or Java) and familiarity with Linux, Git, and CI workflows. Data Science: Deep knowledge of statistical modeling, feature engineering, and machine‑learning frameworks (PyTorch, TensorFlow, scikit‑learn). Systems: Proven skill in real‑time data pipelines, distributed/cloud computing, and performance optimization. Markets: Strong grasp of market microstructure More ❯

recommender systems, personalization, and A/B testing. Strong machine learning and statistical knowledge. Preferred Qualifications: Proficient with Machine learning frameworks such as Tensorflow, PyTorch, MLlib. Experience with Databricks, Spark, Tecton, Kubernetes, Helm, Jenkins. Familiarity with standard methodologies in large-scale DL training/Inference. Experience with reducing model serving More ❯

DAX skills). Experience in Data Lake technologies (DataBricks) and/or Dataiku. Experience with Data Science and AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Knowledge of machine learning algorithms, statistical modelling, and AI-driven analytics. Data analysis, management, and visualisation expertise. Proactively manages conflicts within their More ❯

and frameworks to optimize model performance. You have 7+ years of programming experience in Python and have development experience with both DL toolkits like PyTorch or Tensorflow and can deploy models with clean APIs. You are equally capable as a software engineer as you are in formulating novel research ideas More ❯

evidenced by publications in reputable scientific journals or conferences. Expertise in software development and programming in Python. Experience with deep learning frameworks such as PyTorch, JAX, and/or TensorFlow. Excellent ability to communicate complex ideas clearly, both verbally and in writing, and to work effectively within a multidisciplinary team. More ❯

and applications to engineering teams and C-Level executives. This requires deep familiarity across the stack - compute infrastructure (Amazon EC2, Amazon EKA), ML frameworks PyTorch, JAX, orchestration layers Kubernetes and Slurm, parallel computing (NCCL, MPI), MLOPs, through to Amazon SageMaker Hyperpod, Amazon Bedrock as well as target use cases in More ❯

mathematics, or a related quantitative field - Experience with scripting languages (e.g., Python, Java, R) and big data technologies/languages (e.g. Spark, Hive, Hadoop, PyTorch, PySpark) PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis More ❯

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 More ❯

4+ years of ML experience (e.g., scene understanding, multi-modal sensing). Expertise in Python, Rust, C++, or Java, as well as frameworks like PyTorch, TensorFlow, and JAX. Excellent communication and problem-solving abilities. Bonus : Experience with MLOps, sensor modalities, or deploying production models. Note : Diverse backgrounds are encouraged; not More ❯

4+ years of ML experience (e.g., scene understanding, multi-modal sensing). Expertise in Python, Rust, C++, or Java, as well as frameworks like PyTorch, TensorFlow, and JAX. Excellent communication and problem-solving abilities. Bonus : Experience with MLOps, sensor modalities, or deploying production models. Note : Diverse backgrounds are encouraged; not More ❯

/AI products, regularly communicating with senior leadership REQUIREMENTS: Advanced degree in a relevant STEM subject. Strong skills in the likes of Python, TensorFlow, PyTorch etc Proven track record of delivering large-scale machine learning products. Expertise in a variety of machine learning and AI techniques - ideally having a background More ❯

promotions during the last financial year Technical requirements include: Demonstrable experience designing and implementing machine learning models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in natural language processing and large language models, covering training methodologies More ❯

tuning of AI models for real-world implementation. Candidate Requirements Strong Python programming skills, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale language models. Proficiency in AWS cloud computing , including Athena, SageMaker More ❯

promotions during the last financial year Technical requirements include: Demonstrable experience designing and implementing machine learning models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in natural language processing and large language models, covering training methodologies More ❯

to Have: Familiarity with real-time or embedded systems Exposure to game engines (e.g. Unity or Unreal) Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) This is a rare chance to help shape a pioneering product at the intersection of sport, technology and entertainment. If you thrive in a fast More ❯

to Have: Familiarity with real-time or embedded systems Exposure to game engines (e.g. Unity or Unreal) Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) This is a rare chance to help shape a pioneering product at the intersection of sport, technology and entertainment. If you thrive in a fast More ❯