1,001 to 1,025 of 1,557 Machine Learning Jobs

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy ...

standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy ...

standards and capabilities. You will be accountable for the quality and impact of analytical outputs - from experimentation and evaluation approaches through to reporting and machine learning applications - ensuring they drive measurable improvements for citizens and DWP colleagues. Working closely with senior stakeholders across digital, operations and policy ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

staff to develop personally and professionally. As a Trust we are determined to be at the forefront of change, using tools such as machine learning and predictive analytics in the next stages of our journey. We offer hybrid working arrangements following a qualifying period, providing flexibility alongside this ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

implementation experience across IVR, routing, CTI and CRM integrations AWS services including Lambda, API Gateway, S3 and CloudWatch Experience with Amazon Lex, AI/ML services and LLM integrations TypeScript/modern JavaScript development CI/CD, DevOps and serverless architecture experience Ability to build scalable, resilient and secure contact ...

product focused data science or analytics role. * Hands on experience with NLP, semantic analysis, or large scale text data. * Experience working on AI or ML driven products in a B2B SaaS or scale up environment. * A pragmatic, impact focused mindset with confidence owning problems end to end. ...

optimisation initiatives Mentor junior engineers and contribute to technical best practices Key Requirements: Strong Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative ...

years' experience in Data Science or a similar analytical role Strong Python skills and experience working in shared codebases Experience with data science/ML frameworks Solid understanding of data preparation, analysis and modelling Ability to translate data insights into practical outcomes Strong communication and collaboration skills Curious mindset with ...

solutions and make valuable impact. Key Responsibilities Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio. Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications. Design and deploy GenAI, RAG and intelligent agent solutions ...

based or UK right-to-work contractors What to expect: Contract opportunities only (inside & outside IR35 depending on client) Projects focused on AI, ML, GenAI, analytics, optimisation & automation Tier-1 investment banks, buy-side firms, and market-leading financial institutions Roles released on short notice - hence proactive engagement Interested ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

Strong stakeholder management Experience leading enterprise-scale data transformation programmes Nice To Have Azure certifications Experience with Kafka or Event Hubs Exposure to AI, ML or advanced analytics platforms Cloud migration and legacy platform modernisation experience This is an opportunity to play a key role in a major data transformation ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

program/project management, cloud infrastructure, or enterprise software delivery 5+ years leading enterprise customer deployments involving Kubernetes, cloud-native tech, or AI/ML platforms Genuine hands-on depth across Kubernetes, containers, cloud platforms (AWS/Azure/GCP), networking, and distributed systems Comfort operating in a fast-paced ...

SaaS products Ability to design clean, usable UIs for complex workflows Strong understanding of modern front-end engineering practices Genuine interest in AI/ML products and how users interact with them Hands-on experience using AI coding tools (e.g., Copilot, Cursor, Claude, Codex) Nice to have: Experience with Python ...

Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have – AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests ...

Publications in top architecture conferences such as ISCA, MICRO, HPCA, or ASPLOS Experience with dynamic language runtimes or compiler optimisation Exposure to AI/ML inference workloads on CPU platforms Experience contributing to production silicon Interest in AI-assisted architecture exploration and optimisation ...

This is an exciting opportunity to work on large-scale, enterprise platforms using modern cloud technologies, agile delivery, and emerging tools including AI and machine learning. You’ll be joining a collaborative environment where quality, innovation, and continuous improvement are at the core of everything they do. The Opportunity ...

understanding of how tests and environments fit into CI/CD pipelines and wider SDLC activities. Should have: Practical exposure to testing AI/ML/LLM‐based systems (e.g. chatbots, RAG applications, AI‐assisted workflows) and an interest in deepening this. Familiarity with approaches to evaluating LLM outputs ...

with: Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have – AI Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools ...