1 to 25 of 49 Keras Jobs in the UK

science community. What we’re looking for: A strong data science background including solid coding skills with Python Scikit learn, Pandas, Matplotlib, Numpy, Tensorflow, Keras Statistics (including statistical tests) Good knowledge of traditional Machine Learning techniques (Deep Learning and Reinforcement Learning a definite plus) Familiarity with Operational Research and optimisation More ❯

science community. What we're looking for: A strong data science background including solid coding skills with Python Scikit learn, Pandas, Matplotlib, Numpy, Tensorflow, Keras Statistics (including statistical tests) Good knowledge of traditional Machine Learning techniques (Deep Learning and Reinforcement Learning a definite plus) Familiarity with Operational Research and optimisation More ❯

Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS PhD degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of More ❯

Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS PhD degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of More ❯

Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS PhD degree in Computer Science, or related technical, math, or scientific field. Proven knowledge of More ❯

Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. Fluency in written and spoken English. PREFERRED QUALIFICATIONS Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue). PhD or Master More ❯

e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras). Demonstrated ability to work on multi-disciplinary teams with diverse skillsets. Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD More ❯

and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as More ❯

of hands-on experience in AI and machine learning. Technical Expertise: Strong proficiency in Python. Expertise in machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar. Machine Learning: Solid understanding of supervised and unsupervised learning, deep learning (CNNs, RNNs, GANs), and reinforcement learning. Data Handling: Proficient in data manipulation More ❯

fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries eg. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as More ❯

degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise in SQL and machine learning frameworks You have hands-on experience with leading time series forecasting techniques, including More ❯

deep learning methods, and/or machine learning. - Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. - PhD or Master's degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field. - Practical experience in solving complex More ❯

etc Experience in using ML tools such as Mlflow for model lifecycle management Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn Familiarity with timely engineering and large language models (LLM) is a plus Proficiency in multiple programming languages Understanding of containerization technologies like Docker More ❯

preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn). Cloud platforms - demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools More ❯

models, Markov chains and multivariate time-series modelling. Experience with widely used probabilistic programming and machine learning libraries such as Stan, PyMC3, Scikit-Learn, Keras, Tensorflow or PyTorch. Exposure to cloud computing, ideally AWS. An interest in sports betting. More ❯

e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras). Demonstrated ability to work on multi-disciplinary teams with diverse skillsets. Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD More ❯

analysis and modeling techniques, including linear regression, time series, decision trees, and clustering algorithms. Proficient in machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras) for building and deploying predictive models. Proficient in Python, R, or similar programming languages for data analysis and machine learning. Experience with data manipulation and … or other relevant certifications. Master's or Ph.D. in Computer Science, Mathematics, Statistics, Engineering, or related field. Experience in deep learning frameworks like TensorFlow, Keras, or PyTorch for developing complex neural networks. Experience working with NLP techniques for text analysis and sentiment analysis. Familiarity with cloud platforms (AWS, GCP, Azure More ❯

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. Excellent communication skills; both in customer-facing and internal team communication. Knowledge of MLOps is More ❯

Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration More ❯

Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate consideration. #J-18808-Ljbffr More ❯

learning to real-life problems Familiarity with Vision Transformers, DeepLabv3, SegFormer, etc. Proficient in Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice-to-haves: On offer : Base salary More ❯

/Machine Learning applications as a Software Engineer or in a similar role. Knowledge and experience of machine learning frameworks like TensorFlow, PyTorch, or Keras and libraries (like Scikit-learn). Understanding of data structures, data modeling, linear algebra, probability, and optimization. Excellent programming skills in Python and/or More ❯

of Machine Learning (ML), including modern deep learning methods. Ideally you will have experience in Python ML and Reinforcement Learning libraries such as Tensorflow, Keras, Jax, Pytorch Strong programming skills, preferably in python, KDB, ideally also Java or C++ Deep Experience in quantitative research, data analysis, strategy design and creation More ❯

to build advanced data models, including predictive and prescriptive modelling. Proficiency in training large-scale models using modern deep learning engines such as TensorFlow, Keras, PyTorch, MXNet, or Caffe. Understanding of machine learning, natural language processing, and deep learning. Experience with cloud-based AI services and platforms. Knowledge of regulatory More ❯

or computer science applied to medical imaging data, or other appropriate topic Extensive computing and programming experience (windows, linux, matlab, scripting, Python, PyTorch, TensorFlow, Keras, etc) Knowledge and experience of PET methodology including data acquisition, image reconstruction, data analysis Knowledge and experience of statistical, image processing and AI methods relevant More ❯