1 to 25 of 26 TensorFlow Jobs in Manchester

e.g., Python, R), with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

/ML development, with practical experience across model development, testing and deployment. Experience with machine learning frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, XGBoost or equivalent. Practical knowledge of Generative AI techniques, including large language models, prompt engineering, retrieval-augmented generation, model evaluation and responsible AI considerations. ...

programming languages used for AI and data engineering, with hands-on experience building production-grade solutions.Experience with machine learning frameworks and tools (e.g., PyTorch, TensorFlow, scikit-learn) and practical implementation of model development and deployment.Working knowledge of Generative AI, including large language models, prompt engineering, retrieval-augmented generation ...

Generative AI solutions; evidence of real-world impact highly desirable.Expert-level proficiency in Python, and modern AI/ML frameworks, including PyTorch, TensorFlow, and specialised Generative AI libraries (LangChain, LangGraph or related open-source toolkits strongly preferred. Background in Traditional ML/AI is preferred.Deep understanding of LLMs, prompt ...

Knowledge retrieval systems for operational teams Automated insight generation and decision support What you’ll need Hands‐on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit‐learn) Strong Python skills for data analysis, modelling, and development Experience working with large language models (LLMs), including prompt engineering, fine‐tuning ...

Strong programming skills in Python, SQL, and/or similar languages.AI/ML Frameworks: Proven experience with popular AI/ML libraries such as TensorFlow, PyTorch, scikit-learn. Familiarity with Generative AI and/or machine learning frameworks (e.g., Langchain) is desirable.ML Algorithms: Strong understanding of machine learning algorithms ...

evaluate applicability to client projects Requirements 5+ years of experience in machine learning engineering or applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience ...

similar languagesExperience building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. Strong analytical and problem-solving skills ...

modern programming language used for data science and machine learning development.Practical experience with machine learning frameworks and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps ...

them:Applying AI/ML techniques to text, audio, imagery, video, geospatial, graph or multimodal data.Developing solutions using machine learning frameworks such as PyTorch, TensorFlow, scikit-learn or Hugging Face.Using cloud-based data science and machine learning services across AWS, Azure, GCP or equivalent platforms.Developing high-quality, maintainable code ...

/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome ;) Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. You should be aware of the broad landscape of machine learning applications, tools ...

related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.Experience of appropriate version control and environment management (such ...

integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow;3-5+ years of experience in designing and developing scalable web applications using modern front-end frameworks such as React/TypeScript. Experience ...

data pipelines and working with both structured and unstructured data Knowledge of AI, machine learning or generative AI technologies Exposure to frameworks such as TensorFlow, PyTorch, LangChain or similar Experience working with cloud based data platforms and modern data architectures Strong analytical and problem-solving skills Excellent communication skills ...

SQLExperience building data pipelines and working with both structured and unstructured dataKnowledge of AI, machine learning or generative AI technologiesExposure to frameworks such as TensorFlow, PyTorch, LangChain or similarExperience working with cloud based data platforms and modern data architecturesStrong analytical and problem-solving skillsExcellent communication skills with the ability ...

processes for developing high quality codeFamiliarity with common Python libraries for data management, statistical analysis, machine learning.Experience with popular machine learning frameworks such as TensorFlow and PyTorch.Strong understanding of statistics and probability.Strong knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing ...

real recommendations use cases (brownie points for productionised sequential learning use cases!). Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc. Experience with real-time scoring/evaluation of models with low latency constraints. Great coding skills and strong software development experience ...

real recommendations use cases (brownie points for productionised sequential learning use cases!).Experience with ML/distributed ML frameworks like Ray, Spark-MLlib, TensorFlow etc.Experience with real-time scoring/evaluation of models with low latency constraints.Great coding skills and strong software development experience (we use Spark, Python ...

government security clearance. Experience building with generative AI, large language models, and AI agents. Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Familiarity with the principles and tools of MLOps. Experience building or contributing to open source projects. Benefits By joining a growing company ...

Scala, or Java), including proficiency with libraries like Pandas and NumPy. Machine Learning & Frameworks: Deep practical knowledge of ML techniques and popular frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced Data Analytics: Solid grasp of graphs, time-series modeling, numerical algorithms, and geospatial analytics. Leadership & Outcomes: Proven experience leading ...

success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit‐learn, TensorFlow, or PyTorch. Proven ability to design and implement complex machine learning solutions and guide best practice. Deep understanding of statistical analysis and probability theory. ...

success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. ...

dedicated DV allowance. Responsibilities include mentoring the team, developing custom models using Python/Scala/Java, and applying ML frameworks such as TensorFlow and PyTorch to real-world #J-18808-Ljbffr ...

real recommendations use cases (brownie points for productionised sequential learning use cases). Experience with ML/distributed ML frameworks like Ray, Spark‐MLlib, TensorFlow etc. Experience with real‐time scoring/evaluation of models with low latency constraints. Great coding skills and strong software development experience ...

Lead Data Scientist | Fully Remote | £90,000–£100,000 + Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn’t just another senior data science position. ...