151 to 175 of 261 PyTorch Jobs in London

expertise Strong understanding of ML models and observability tools Proficiency in Python and SQL Experience with Spark and Apache Airflow Knowledge of ML frameworks (PyTorch, TensorFlow, Scikit-Learn) Experience with cloud platforms, preferably AWS Experience with containerization technologies Useful information: Their offices are located in central London with support for More ❯

Proficiency with data visualization tools (e.g., Tableau, Power BI, matplotlib) and cloud platforms (preferably AWS). Expertise in statistics and machine learning frameworks (e.g., PyTorch, scikit-learn). Familiarity with Git and collaborative workflows, such as pull requests and code reviews. Experience in product experimentation, including A/B testing. More ❯

Strong understanding and experience with ML models and ML observability tools ** Strong Python and SQL experience ** Spark/Apache Airflow ** ML frame work experience (PyTorch/TensorFlow/Scikit-Learn) ** Experience with cloud platforms (preferably AWS) ** Experience with containerisation technologies Useful information: Their offices are based in central London where More ❯

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 Google Cloud Platform is a plus Experience with building data pipelines and getting the data you need to build and evaluate your More ❯

Engineering, related field or demonstrated an equivalent level of knowledge. Deep understanding of the fundamentals of machine learning. Experience with machine learning frameworks (e.g. PyTorch, TensorFlow). Hands-on proficiency in C++ and Python. Familiarity with robotic simulation environments (e.g. NVIDIA Omniverse, MuJoCo, PyBullet). Solid grasp of real-world More ❯

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.). More ❯

AI tools using Python (TypeScript also welcome). Experience with training and evaluating AI models for NLP and CV using libraries such as TensorFlow, PyTorch, Scikit-learn. Experience with deploying and using AI models on cloud platforms (preferably Azure and OpenAI). Experience with developing LLM agent-based applications using More ❯

scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing More ❯

scientists Essential Skills: Formal training in machine learning and computer vision Coding experience in python Experience working with at least one deep learning framework (pytorch or tensorflow) A strong willingness to learn Highly collaborative mindset A strong interest for a product-centric organization Desirable Skills: Working knowledge of cloud computing More ❯

mathematical/statistical background with demonstrable experience in developing deep learning algorithms for research Expert level technical programming skills, with emphasis on Python (NumPy, PyTorch etc) and preferably experience with R Experience of applying deep learning techniques to omics datasets Ability to read machine learning research articles and implement the More ❯

data science, or applied AI, with hands-on experience in model development, evaluation, and deployment. Proficiency with relevant ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace or similar. Experience with modern ML tooling, such as MLflow, Jupyter, feature stores, and vector databases. Understanding of software engineering best More ❯

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 Google Cloud Platform is a plus Experience with building data pipelines and getting the data you need to build and evaluate your More ❯

Familiarity with drug repurposing or biomedical knowledge graphs is a strong plus. Experience using large-scale data frameworks and machine learning toolkits such as PyTorch and HuggingFace. Strong coding standards, including adherence to best practices. Ability to quickly learn new domains and solve complex problems. Hands-on experience with graph More ❯

talent while fostering an inclusive and high-performing culture. Strong hands-on background in deploying machine learning models at scale, using technologies such as Pytorch, MLflow, Airflow, and Docker. Deep understanding of ML lifecycle challenges: feature stores, model deployment, monitoring, data drift, and retraining. Familiarity with cloud platforms (ideally Azure More ❯

for: Experience with developing and deploying applications for Windows desktops or embedded systems. Experience with privacy, security, or qualifications in machine learning. Experience using PyTorch, TensorFlow for machine learning, or NumPy for general data science tasks. The interview process: Getting to know you: 30 minute chat with our People and More ❯

some of the following tools and technologies (or an eagerness to learn): Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt, BigQuery, or Spark. A strong More ❯

related Field 4+ years of Relevant Experience building and applying ML systems Proficiency in Python, Rust, C++, or Java Experience with ML frameworks like PyTorch, TensorFlow, or JAX Excellent communication skills—written, verbal, and visual AI Research Engineer - Well-Funded Start-Up More ❯

from a high calibre team 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 Excellent communication skills with proven More ❯

from a high calibre team 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 Excellent communication skills with proven More ❯

Python, scikit-learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS Benefits 🏖 Hybrid working Regular team events If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested More ❯

Java, or C++. Keen interest in generative AI (experience with LLMs, GANs, or similar is a plus). Familiarity with AI frameworks such as PyTorch, TensorFlow, or Hugging Face. Strong problem-solving skills and enthusiasm for adopting new technologies. Effective communication skills for collaboration in a hybrid work environment. Why More ❯

Java, or C++. Keen interest in generative AI (experience with LLMs, GANs, or similar is a plus). Familiarity with AI frameworks such as PyTorch, TensorFlow, or Hugging Face. Strong problem-solving skills and enthusiasm for adopting new technologies. Effective communication skills for collaboration in a hybrid work environment. Why More ❯

Python, scikit-learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS Benefits 🏖 Hybrid working Regular team events If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested More ❯

clusters) . What We’re Looking For: A PhD in a core STEM subject at a top 10 university Proficiency in Python, C++, Java, PyTorch, TensorFlow. Experience deploying ML models at scale. Strong product sense and ability to iterate on AI-driven user experiences. A strong entrepreneurial mindset! If this More ❯

efficient (pre-)processing, etc. Experience with time-series data, including storage and management. A strong understanding through the usage of machine learning frameworks (TenserFlow, PyTorch, sci-kit-learn, Huggingface). Ability to work with analytical teams to build dashboards that prove the value of the machine learning capabilities as we More ❯