76 to 100 of 114 TensorFlow Jobs in the UK

terms of data sources. * Hands-on experience with data engineering development, automation and integration strategy/implementation. * Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, R). * Ability to translate business problems into data-driven solutions and communicate insights effectively. ...

extractions through metrics like Character Error Rate (CER) and Word Error Rate (WER) is also crucial. Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Understanding of ML architectures, hyperparameter tuning, and performance optimisation. Experience with MLOps tools and CI/CD pipelines. Familiarity with data engineering … deep learning architectures. Familiarity with Agile and DevOps practices. STEM degree or equivalent experience in AI, Data Science, or related fields. Industry certifications (e.g., TensorFlow Developer, AWS Machine Learning Specialty). Experience working in secure or regulated environments. SC clearance is manadaorty for this role ...

custom datasets Understanding of accuracy measurement metrics like Character Error Rate (CER) and Word Error Rate (WER) Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch) Understanding of ML architectures, hyperparameter tuning, and performance optimisation Experience with MLOps tools and CI/CD pipelines Familiarity with data engineering concepts … secure or regulated environments Exposure to big data technologies (Spark, Hadoop) and Apache tools Familiarity with Agile and DevOps practices Industry certifications (e.g., TensorFlow Developer, AWS Machine Learning Specialty) Knowledge of NLP, computer vision, and deep learning architectures STEM degree or equivalent experience in AI, Data Science, or related ...

workflows, model deployment scenarios) Develop simulation-based exercises (e.g. anomaly detection, predictive maintenance, NLP pipelines, cyber/AI use cases) Integrate tools such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms where appropriate Mentorship & Capability Development Mentor students through complex technical topics and capstone projects Support learners in transitioning … Expertise Strong hands-on experience in AI/ML development and deployment in real-world environments Proficiency in Python and common ML libraries (e.g. TensorFlow, PyTorch, Scikit-learn) Experience with data pipelines, feature engineering, and model evaluation Exposure to areas such as: Deep Learning Natural Language Processing (NLP) Predictive ...

significant impact on the product and ML direction. What they're looking for • Strong Python experience • Commercial Machine Learning/NLP experience • Experience with TensorFlow or PyTorch • Experience with search technologies (Elasticsearch, OpenSearch, etc.) • Experience building production ML systems Experience with LLMs or large-scale search systems would ...

Proven experience in signal engineering, feature creation, and interpretation for consumer analytics use cases Proficiency in Python and ML libraries (e.g., scikit-learn, PyTorch, TensorFlow) Experience working with large-scale consumer data and personalization or NBO platforms Nice to Have Experience in retail, CPG, telecom consumer analytics Exposure ...

Experience in cloud computing (ideally AWS) Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple ...

Publications or patents in GPU/AI accelerator design or related fields Experience with FPGA prototyping and emulation Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) Whats Offered: Salary : Competitive and commensurate with experience and qualifications Equity : Stock options in our early-stage startup, providing significant potential for financial ...

Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable for both graduates ...

state architectures, and outline migration stages, translating requirements into actionable Python implementations Build reliable ML-driven tools and scripts in Python (using frameworks like TensorFlow, PyTorch, or scikit-learn) to optimize workload automation, predict placement needs, and handle legacy-modern tech integrations Conduct code reviews, implement CI/ ...

deployment, and monitoring Experience with tools/frameworks like LangGraph, ReAct, CoT — or ability to build systems from first principles Familiarity with PyTorch/TensorFlow, RAG pipelines, vector DBs, and modern infra Background in startups (builders) or consultancies (client-facing delivery) Self-directed, adaptable, and comfortable operating in ambiguity ...

network-facing services using Go Strong Python skills, ideally within machine learning or computer vision environments Familiarity with frameworks such as PyTorch or TensorFlow (or a willingness to learn) Experience with containerisation and orchestration tools such as Docker or Kubernetes Comfortable working in Linux-based environments Solid understanding ...

capabilities. What they're looking for • Strong Python experience • Commercial Natural Language Processing (NLP) experience • Experience building production ML/NLP systems • Experience with TensorFlow or PyTorch • Experience with search technologies (Elasticsearch, OpenSearch etc.) • Experience working with large datasets or language systems Experience with LLMs or information retrieval systems ...

statistics, linear models & model evaluation techniques Experience with the Python data stack (NumPy, Pandas, etc.) and ML libraries Familiarity with tools such as PyTorch, TensorFlow, JAX, Plotly, Altair Experience working with large datasets and performance-sensitive systems Strong problem-solving ability with attention to detail Ability to communicate complex ...

cohort) ● Practical knowledge of ML evaluation, validation strategy, and failure modes including error analysis and iteration planning ● Experience with model development using PyTorch/TensorFlow/JAX ● Ability to communicate clearly across technical + scientific stakeholders ● Strong experience leading or coordinating cross-functional teams, and thinking strategically across product ...

Learning Engineering roles ● Strong hands-on experience with GCP (Preferred) ● Deep understanding of the end-to-end ML lifecycle, including deployment/serving (e.g. TensorFlow Serving or similar) ● Proven experience building and evaluating ML models across areas such as classification, regression, NLP, or time series ● Solid grounding in statistical … modelling, experimental design, and evaluation metrics (e.g. precision, recall, AUC, RMSE) ● Strong Python skills, with experience using libraries such as TensorFlow, PyTorch, and scikit-learn ● Expertise in relational databases (particularly PostgreSQL), including schema design and query optimisation ● Experience with modern engineering practices (CI/CD, Docker, Kubernetes) ● Strong analytical ...

working with machine learning systems Experience could come from LLMs, computer vision, speech, recommendation systems, or other ML domains. Nice to have: PyTorch/TensorFlow internals Distributed training (NCCL, DeepSpeed, Megatron, Horovod, etc) GPU performance engineering or HPC background ...

strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance of your models ...

machine learning or AI, with a record of driving projects from research into production. Deep technical expertise in deep learning frameworks (e.g., PyTorch, TensorFlow) and modern video/vision generative techniques. Strong understanding of Vision Transformers and Diffusion, with proven experience bridging the gap between research & production. ...

workload schedulers such as SLURM or PBS. •Proficiency with AI model training workflows and experience supporting popular AI/ML frameworks (e.g., TensorFlow, PyTorch, CUDA). Solid understanding of networking, storage, and server platforms in both Windows and Linux environments. •Advanced analytical, troubleshooting, and performance tuning skills, with ...

software boundaries Strong problem-solving ability and curiosity Nice to Have Experience with audio codecs, streaming, or real-time systems Exposure to PyTorch/TensorFlow or ML pipelines Familiarity with cloud platforms (AWS or similar) Hardware exposure (e.g. embedded systems, sensors, or low-level interfaces) What We Offer Competitive ...

architecture for machine learning. The successful candidate will bridge research and commercial deployment, focusing on performance, reliability, and maintainability. Key qualifications include expertise in TensorFlow and Python, experience in API development, and familiarity with MLOps practices. Joining means working on cutting-edge ML solutions and collaborating with experts across ...

hold SC clearance. Desirable Skills Experience with TinyML or similar frameworks Knowledge of wireless communication protocols (BLE, Zigbee, LoRa, etc.) Experience deploying models using TensorFlow Lite or similar If you're passionate about bringing AI out of the cloud and into real-world devices, we'd love to hear ...

following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe ...

manage the end-to-end lifecycle of machine learning models, including development, training, deployment, monitoring, and continuous improvement. Productionise ML models built with PyTorch, TensorFlow, or Scikit-learn, ensuring reliability, scalability, and security. Implement model versioning and experiment tracking using MLflow, along with controlled releases, rollback strategies, and continuous … Jobs. Automate infrastructure provisioning, environment management, and deployment using Terraform, ARM templates, or Ansible. Essential Technical Skills: Programming: Python, SQL, PySpark, Bash ML Frameworks: TensorFlow, PyTorch, Scikit-learn MLOps & Model Management: MLflow, Model versioning, CI/CD Cloud & Big Data: Databricks, Databricks APIs, MCP, Blob Storage Data Engineering ...