technologies such as Node.js, Python, Java, or Go. Experience with front-end frameworks like React, Angular, or Vue.js. Strong understanding of machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and tools. Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes). Proficiency in database management (SQL, NoSQL more »
City of London, England, United Kingdom Hybrid / WFH Options
Cyber Security Jobsite
some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and more »
City Of London, England, United Kingdom Hybrid / WFH Options
RJC Group
or AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package We have interview slots lined up more »
into existing enterprise frameworks. Required Experience: Designing scalable, robust GenAI and ML architectures that integrate seamlessly with existing systems. AI/ML frameworks like TensorFlow and PyTorch. Automated model deployment and performance monitoring. Optimising GenAI solutions for performance and cost efficiency. LLMs, RAG, Guardrails, MLOps, and multi-modality. Experience more »
government clients. Key Requirements m ust have strong Python experience ofNatural Language Processing and Computer Vision is essential experience ofdeep learning frameworks e.g., PyTorch, TensorFlow, Keras strong knowledge of web application frameworks e.g. FastAPI, Node.js experience ofNatural Language Processing and Computer Vision is essential experience with deploying and monitoring more »
a high-performing, cross-functional team of ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and … techniques. Hands-on experience in building and deploying end-to-end ML solutions. Strong programming skills in Python and proficiency in ML frameworks (e.g., TensorFlow, PyTorch). Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable ML model deployment. Understanding of data privacy, security, and more »
