20 of 20 Remote/Hybrid PyTorch Jobs in London

contribute to our internal library of proprietary tools and frameworks. Technical Profile Expert Programming: Mastery of Python and its ecosystem (Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow). Experience writing production-ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine Learning. You should ...

skills. Advanced Analytics Expertise: Proficiency in Python and advanced analytics techniques for structured data, with experience using AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and Machine Learning : Deep understanding of NLP and ML methods for unstructured data, including experience with foundation models and large ...

/Knowledge/Experience (Up to 10) 10+ years of experience in software engineering, with 5+ years in AI/ML. Expert in Python, PyTorch, TensorFlow, and NLP frameworks. Proven experience with LLMs, transformer architectures, and LangChain/Hugging Face. Strong foundation in algorithms, model evaluation, and ML workflows. Deep ...

have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure, AWS, or GCP Benefits The successful ...

inclusive team environment that encourages continuous learning and improvement. Your Profile Essential skills/knowledge/experience: Knowledge of machine learning frameworks (e.g., PySpark, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving). Strong experience with data processing frameworks (e.g., Apache Spark, Flink). Expertise in SQL and NoSQL ...

/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. ...

cloud experience within Azure or AWS plus CI/CD tooling and Git Desirable Skills for the AI Engineer: Experience using Pandas NumPy or PyTorch Exposure to NodeJS VueJS or equivalent frontend technologies If you are an AI Engineer with strong hands-on capability and a passion for applying modern ...

Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical stakeholders Strong analytical thinking, collaboration skills ...

experience with Generative AI and LLMs Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI Python with modern AI libraries (LangChain, Hugging Face, PyTorch) Experience building RAG pipelines and knowledge retrieval systems Cloud platforms: Azure, AWS, or GCP Microsoft/Azure (Highly Desirable) Microsoft AI Foundry Azure AI Agent Service ...

Experience building cloud based products ideally in a scale up environment - A delivery focused, mission driven personality - An interest in AI/automation - Pytorch, TensorFlow, LlamaCPP, Keras etc This Senior Software Engineer near London will receive: - Starting salary of up £110,000 base salary - Bonus scheme - Long term hybrid working ...

technologies Required Skills & Experience MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or similar Strong Python programming skills Experience with PyTorch, TensorFlow, or optimisation libraries (e.g. Gurobi, OR-Tools) Strong technical communication and stakeholder engagement skills Ability to write clean, efficient, maintainable code Interest in explaining and presenting ...

testing, and scalability Required Experience: Proven experience as an AI Engineer or Machine Learning Engineer Advanced Python skills with experience in ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Strong understanding of machine learning algorithms and applied AI Experience deploying models into production environments Comfortable working in startup or fast-paced ...

one. Experience in building reusable AI components and frameworks for enterprise-scale deployments.Your CV must evidence strong proficiency in Python and ML frameworks (TensorFlow, PyTorch). You will have strong statistical and analytical skills. You will be experienced in a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation ...

Core expected skills (level based on seniority) : Python proficiency and familiarity with popular libraries Knowledge of frameworks for building complex ML models (e.g. TensorFlow, pytorch or keras) Ability to pre-process and feature engineer data (cleaning, transformation, feature extraction) Ability to deploy and serve models in prod ready environments (requiring ...

Role/Job Title: AI & ML Senior Engineer Work Location: London The JJ Mack Building, 33 Charterhouse St, EC1M 6HA Mode of Working: Hybrid If Hybrid, how many days are required in office?: Minimum 2 ...

Senior Data Scientist - Customer Data Salary: £70,000 - £85,000 (DoE) Location: Hybrid - 2/3 days per week in a Central London office Job Reference: J13015 Full UK working rights required - no sponsorship available ...

right candidate, plus benefits Requirements for Senior/Principal Machine Learning Engineer: Strong relevant industry experience in machine learning engineering Strong Python and PyTorch experience Experience training machine learning models at scale Experience building and maintaining model deployment and inference pipelines Hands-on experience using Docker in production environments Strong … Machine Learning Engineer/ML Engineer/Applied Machine Learning Engineer/Computer Vision Engineer/AI Engineer/Research Engineer/Python/PyTorch/Linux/Docker/Cloud ML/CI Pipelines/Model Deployment/Inference Pipelines RedTech Recruitment Ltd focus on finding roles for Engineers ...

guardrails. Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets, adversarial evaluation corpora, and scenario-based test sets. Help transition research outputs into scalable controls … Good grasp of core Responsible AI concepts: Bias and fairness Explainability Privacy-preserving ML. Robustness and uncertainty Nice to have: Experience with ML frameworks: PyTorch, TensorFlow, Flax/JAX, HuggingFace. Exposure to multimodal models (CLIP, Whisper, LLaVA, video transformers). Familiarity with safety benchmarks, adversarial testing, red teaming, or uncertainty ...

Learning Scientist: Strong experience in research and development of computer vision machine learning models Experience implementing state-of-the-art deep learning models in PyTorch Experience training large models across multiple GPUs and compute nodes Deep understanding of machine learning theory including linear algebra, probability, statistics and optimisation Experience with … deep learning for computer vision, ideally including 3D imaging and or self-supervised learning Strong Python and PyTorch skills, with the ability to read and write high-quality training code Experience writing and maintaining production-grade Python code, including optimising training performance Experience working with modern development workflows including pull ...

real test outcomes and push long-context and MoE style architectures to their limits. You'll work hands-on across the full stack: custom PyTorch dataloaders, distributed training (DDP/FSDP), experiment tracking, debugging NCCL issues at 2am, and squeezing performance out of multi-GPU jobs. You'll help design … expectation to do more). About you: You have strong experience with training deep learning models in production You have an indepth knowledge of PyTorch including hands-on experience with torch.distributed (DDP/FSDP-style training, distributed data loading, gradient scaling, etc.) You have experience of training large sequence models ...