1 to 25 of 200 Permanent TensorFlow Jobs in London

refine existing products. Prior experience in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR.Experience using large-scale distributed training and inference. Strong mentorship, communication, and problem-solving skills. A demonstrated passion for applied ...

including orchestration frameworks, context and memory management, and interoperability protocols such as MCPExperience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodelsExperience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model ...

validation, model evaluation and optimisation. Hands-on experience with Python-based machine learning libraries, especially Scikit-Learn and at least one of XGBoost, LightGBM, TensorFlow or PyTorch. Experience developing models beyond exploratory analysis into reusable, documented and testable assets, ideally with exposure to pilot or production environments. Strong understanding ...

services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. Mastery of SQL (including advanced optimisation ...

programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments Strong ...

programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments Strong ...

theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually and face-to-face ...

production. Strong technical knowledge, including proficiency in Python and experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow). Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling ...

Azure, AWS or GCP) and model deployment using MLOps frameworks Strong programming skills in Python and SQL with experience in frameworks such as PyTorch, TensorFlow and Hugging Face Experience using data platforms and big data frameworks like Databricks and Spark Excellent communication skills for engaging C-level stakeholders ...

experience training, deploying, and maintaining machine learning models in production environments Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps ...

resiliency and security expectations; experience coaching engineers on safe, compliant adoption. Good understanding of data structures, algorithms, and practical machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). Proficiency in automation, continuous delivery (CI/CD), and cloud-native development (preferably AWS). Hands-on practical experience delivering system ...

data science and machine learning techniques, including supervised and unsupervised learning. Proficiency in the Python data science ecosystem (e.g. NumPy, Pandas, scikit‐learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‐on experience with Natural Language Processing, graph analytics and advanced ...

support robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery. ...

OverviewWe are seeking a mid-level AI/ML Engineer Specialist to join our innovative team in London, focusing on designing, developing, and deploying cutting-edge machine learning and generative AI solutions. This role is ...

commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command‐line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration (CI) and continuous deployment (CD), containerization ...

from data exploration and feature engineering through to model training, evaluation, and production deployment Apply modern ML frameworks (e.g., PyTorch or TensorFlow) to design, train, and optimise models in production environments Contribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate on model performance with ...

Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi‐modal representation learning. Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands‐on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP). Graph Neural Networks (GNNs): Strong experience applying ...

What You’ll Do Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex). Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus ...

pull-request workflow. Document what you build and raise the engineering standard around you. Requirements Essential Expert Python, with deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training ...

Generative AI solutions using Python.* Build, train, evaluate, and fine-tune machine learning and large language models (LLMs) using frameworks such as PyTorch, TensorFlow, and Keras.* Develop Retrieval-Augmented Generation (RAG) applications using LangChain, Hugging Face, and LlamaIndex.* Implement and optimize vector database, semantic search, and hybrid search solutions … Strong proficiency in Python programming for AI/ML application development* Hands-on experience with Machine Learning and Deep Learning techniques* Expertise in PyTorch, TensorFlow, and Keras frameworks* Experience developing Generative AI solutions and applications* Strong understanding of Large Language Models (LLMs) and their architectures* Hands-on experience with ...

Prime Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting ...

learning techniques, with hands-on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production-ready models and data pipelines. With at least 1 year industry experience (post ...

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of ...

C++ programming; Knowledge of neural networks and familiarity with standard model architectures; Hands‐on experience with popular deep learning frameworks like PyTorch or TensorFlow; Hands‐on experience with common compiler frameworks for neural networks, such as MLIR or TVM; Strong understanding of computer architecture alongside practical experience optimizing performance ...

from you. Experience developing, deploying or operating machine learning solutions in production environments Familiarity with modern machine learning frameworks and tooling such as PyTorch, TensorFlow, XGBoost or similar technologies Experience training models using GPUs, or an interest in distributed computing and scalable machine learning systems Understanding of software engineering ...