126 to 150 of 174 TensorFlow Jobs in the UK

sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries ...

sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries ...

sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries ...

sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries ...

sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries ...

with data engineering teams Translate insights into business impact Deploy, monitor, and optimize models Create reusable, scalable AI solutions Requirements: Strong Python & ML frameworks (TensorFlow/PyTorch) Solid statistics & data science expertise Experience in end-to-end model deployment Exposure to ML, optimization, simulation, or GenAI Strong stakeholder communication ...

field (Master’s or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication skills, with the ability to explain complex ...

Learning and Artificial Intelligence, including fundamental concepts and applications. Proficiency in programming languages like Python or R, with experience in using libraries such as TensorFlow, PyTorch, or Scikit-learn. Strong data management skills, including data preprocessing, cleaning, and the ability to work with large data sets efficiently. Familiarity with ...

Skills & Experience Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) Experience with RAG and LLM-based solutions Solid understanding of AI architectures and data pipelines Knowledge of security, compliance, and governance principles from ...

Strong academic background in Computer Science, AI/ML, Engineering, or related field Deep hands-on experience with Python and modern ML frameworks (PyTorch, TensorFlow, JAX) Proven track record delivering complex AI initiatives with tangible outcomes Experience working in industrial software, manufacturing, energy, IoT, or other asset-intensive environments ...

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 (preferably ...

probabilistic ML or hybrid modelling (combining physics and data-driven approaches) Familiarity with Bayesian inference, MCMC , or probabilistic programming frameworks (e.g., PyMC, Stan, or TensorFlow Probability) Operating data science/ML workloads at scale using tools such as Argo Workflows, Prefect or similar Experience working with geospatial data (e.g. ...

with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks for machine ...

team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such ...

team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers. Familiarity with both pre-training and fine-tuning of large-scale models Experience working with structured and unstructured data, such ...

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 ...

personalisation engines Owning experimentation, A/B testing, and performance metrics Mentoring engineers and setting technical direction across teams Tech Stack Python PyTorch/TensorFlow MLOps (CI/CD, model monitoring, retraining pipelines) Real-time/streaming systems Cloud-based ML infrastructure What You’ll Bring Strong experience building ...

models and analytics that can be generalized and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ...

models and analytics that can be generalized and adapted for different OpCos without extensive rework. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ...

background in machine learning/AI engineering Experience applying ML to life sciences, bioinformatics, or computational biology Production experience with Python + PyTorch/TensorFlow Track record of owning and shipping ML systems end-to-end Nice to have: Experience with biological data (e.g. sequencing, protein structures) Familiarity with ...

engineering roles Proven track record of deploying ML models into production environments Strong Python skills and deep experience with frameworks such as PyTorch or TensorFlow Experience working with complex, high-dimensional datasets (biological data strongly preferred) Solid understanding of modern ML approaches (deep learning, representation learning, etc.) Experience leading ...

communication with both technical and non-technical audiences Enjoys collaborating with cross-functional teams Python Docker/Github/Jira OpenCV, sklearn, pytorch/tensorflow Benefits 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based ...

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 ...

venues such as CVPR or ICCV, or equivalent research output Hands on experience with Python and deep learning frameworks such as PyTorch or TensorFlow Ability to design, run, and analyse machine learning experiments end to end Clear interest in human behaviour, perception, attention, or cognitive modelling Comfortable working ...

production constraints Experience working with complex or imperfect data (not just curated datasets) Ability to write efficient, scalable, production-quality code Desirable Experience: PyTorch, TensorFlow, or similar ML frameworks Scientific computing/numerical methods/optimisation GPU acceleration or high-performance computing MLOps, model deployment, APIs, or production pipelines ...