20 of 20 Machine Learning Jobs in Reading

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they're looking … senior, hands-on Contract MLOps Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You'll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real ...

governance and performance requirements Contribute to best practice around AI engineering, MLOps and deployment patterns Required Experience Proven experience as an AI Engineer/ML Engineer delivering AI into production Strong Python development skills Hands-on experience with LLMs (commercial and/or open-source) Experience building APIs and services ...

/Sub, Dataflow) Familiarity with cloud-native (GCP/Azure/AWS), Kubernetes, API-first integration, and observability stacks (metrics, logs, traces) Experience in ML/AI (feature engineering, MLOps, model monitoring), automation frameworks (RPA/BPM/runbooks), and security/compliance. Proven leadership in large-scale digital transformation ...

field conditions, including support for field testing and sea deployments. Preferred Experience: Domain Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, or environmental sensing. If you’re passionate about ...

candidate will manage cross-functional teams, vendors, and stakeholders to ensure successful delivery of data modernization initiatives that enable advanced analytics, AI/ML use cases, and operational efficiency. Must have proven experience in large-scale transformation projects, strong knowledge of cloud data platforms, ETL/ELT processes, data governance ...

oriented Demonstrated leadership potential Fluency in English, additional European languages are a plus Preferred Qualifications Experience in a multinational company Understanding of AI and machine learning concepts Bachelor's degree What We Offer Competitive salary and commission structure Opportunity to join a rapidly growing, innovative company Comprehensive benefits ...

strategies Strong understanding of sales, marketing, and customer service business processes Experience with business process modelling, analysis, and optimization methodologies Familiarity with AI/ML concepts and their practical application in CRM contexts Excellent communication and presentation skills Strong problem-solving abilities and consultative approach to client engagement What ...

weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop … with robust architecture, integration patterns, security controls, SLAs, and operational runbooks. Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies. Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such ...

Finance & Operations Lead Rate Negotiable DoE Remote Initial Contract to Perm Your New Role Our client is a revolutionary AI/ML organisation who are at a rapid growth stage. To facilitate their growth, they are looking for a Finance & Operations Lead to manage their financial operations and provide broad ...

Embedded Linux engineer job, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today. ...

cloud networks. The role focuses on enhancing real time observability, proactive detection, anomaly identification, event correlation, RCA, and predictive insights using AI/ML techniques, while ensuring seamless integration with assurance, NOC/SOC workflows, and cross domain OSS systems. The ideal candidate brings deep knowledge of fault/performance ...

cloud networks. The role focuses on enhancing Real Time observability, proactive detection, anomaly identification, event correlation, RCA, and predictive insights using AI/ML techniques, while ensuring seamless integration with assurance, NOC/SOC workflows, and cross domain OSS systems. The ideal candidate brings deep knowledge of fault/performance ...

operational models. Key Responsibilities Lead design of solutions leveraging Intelligent Automation Platforms (RPA, low-code/no-code automation, event-driven automation, AI/ML driven automation). Define architecture patterns for AI-enabled communications, including NLP, GenAI, intelligent routing, and automated decisioning models. Ensure alignment with telecom standards … Strong hands-on understanding of Intelligent Automation Platforms (e.g., Pega, UiPath, ServiceNow Automation, Automation Anywhere, Camunda, or similar). Proven experience in AI/ML, data modeling, data lakes, event streaming, and analytics (e.g., Kafka, Spark, Python ML stack). Deep exposure to telecom protocols and domains Experience with cloud ...

environments. Automate Azure platform deployments using Terraform, including: Azure Data Factory Synapse Analytics Data Lake & Storage Key Vault Azure networking and AI/ML services Implement and manage Terraform state, backends, workspaces, and strategies for drift detection and remediation. Build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions … multi-environment Terraform estates Proven experience deploying Azure Data Platform services using Terraform: Azure Data Factory Data Lake/Storage Synapse Analytics AI/ML services Strong experience building Terraform-driven CI/CD pipelines using Azure DevOps, GitHub Actions, or similar. Proficiency in PowerShell, Bash, or Python for automation ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Reading (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

Collaborate with architecture and engineering teams to design automation workflows and integration points. Support initiatives like zero-touch automation, leveraging Data and AI/ML-driven operations for predictive and proactive network management. Document use cases, process flows, and integration requirements for automation platforms. Act as a subject matter expert … automation, transport network automation, and end-to-end service orchestration. Familiarity with service assurance frameworks and zero-touch automation principles. Understanding of AI/ML-driven operations and data analytics in telecom environments. Ability to translate complex business needs into actionable technical requirements. Excellent documentation, stakeholder management, and communication skills. ...

Full Stack Engineer (Java, React, AI/ML/LLM/SDK) – Cutting-Edge Series B scale up Location: Remote EU - Spain Salary: £70K - £110K About: We are seeking a Full Stack Engineer with a proven track record in building and scaling applications powered by Large Language Models (LLMs). … This role requires deep expertise in Java, React, and modern AI/ML development, including LLM frameworks, SDKs, and retrieval-augmented generation (RAG) systems. Key Responsibilities Design and develop scalable full-stack solutions involving both frontend (React/TypeScript) and backend (Java). Build and optimise AI/ML pipelines ...