26 to 50 of 56 Keras Jobs in the UK

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. ·Strong mathematical and statistical background. ·Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. ·Experience and understanding of mixed technical teams such as engineering, architects, business analysts. ·Familiar with MLOps industry best practices. ·Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best practices. Understanding of More ❯

for the role include: Passion for solving ML problems Strong experience in Python and machine learning libraries such as OpenCV, PyTorch, TensorFlow, Fast.ai , and Keras Strong experience in mathematical programming, algorithmic problem solving, and applied machine learning What We Offer Competitive salary, commission, and equity in a hyper growth business. More ❯

functional programming etc). Ability to write clean, robust, readable, error handling and error tolerant code. Good knowledge of at least one of PyTorch, Keras, or Tensorflow. Working knowledge of core AWS concepts and services such as EC2, ECS, EKS, and DynamoDB. Good knowledge of DevOps and MLOps tools, including 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 ❯

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 ❯

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 ❯

Job Title: Gen AI Architect Duration: Full time Job Description: We are seeking a highly skilled Generative AI Architect to join our dynamic team and drive the development of advanced AI systems that have capabilities to learn, reason and make More ❯

Job Title: Gen AI Architect Duration: Full time Job Description: We are seeking a highly skilled Generative AI Architect to join our dynamic team and drive the development of advanced AI systems that have capabilities to learn, reason and make More ❯

AI research community. Experience 10+ years of hands-on experience in AI development . Proven expertise in computer vision , including frameworks like TensorFlow, PyTorch, Keras, or similar . Strong experience with machine learning using cloud AI tools from Google, Amazon, Microsoft , and others. Experience in deploying AI solutions for large More ❯

structured technical documentation for both internal and external use. Key skills required: Solid background in Python, Linux, and Git. Experience in deep learning (TensorFlow, Keras, PyTorch) and statistical validation of medical devices. Fluent in English and French. If this sounds like the kind of opportunity you've been looking for More ❯

technologies. Experience in system troubleshooting or technical support is beneficial. Technical Skills Needed Familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Proficient in programming languages such as Python, Java, or C++. An understanding of .NET is an advantage as this is what their existing tech More ❯

technologies. Experience in system troubleshooting or technical support is beneficial. Technical Skills Needed Familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Proficient in programming languages such as Python, Java, or C++. An understanding of .NET is an advantage as this is what their existing tech More ❯

Solid background delivering AI/ML projects end-to-end, with real business impact Hands-on Python skills including libraries like Scikit-learn, TensorFlow, Keras, and PySpark Strong understanding of model deployment and MLOps best practices Ability to work with real-world, unbalanced and messy datasets Skilled in translating technical More ❯

Solid background delivering AI/ML projects end-to-end, with real business impact Hands-on Python skills including libraries like Scikit-learn, TensorFlow, Keras, and PySpark Strong understanding of model deployment and MLOps best practices Ability to work with real-world, unbalanced and messy datasets Skilled in translating technical More ❯

creating high-performance implementations of machine learning algorithms Good knowledge of data structures, data modelling and software architecture Proficiency with machine learning frameworks (like Keras or Tensorflow) and libraries (like scikit-learn) Past experience in developing data software products (optional) Track record of coming up with new ideas in machine More ❯

creating high-performance implementations of machine learning algorithms Good knowledge of data structures, data modelling and software architecture Proficiency with machine learning frameworks (like Keras or Tensorflow) and libraries (like scikit-learn) Past experience in developing data software products (optional) Track record of coming up with new ideas in machine More ❯

Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day one. We're an agile company at More ❯

Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day one. We're an agile company at More ❯