326 to 350 of 543 Remote/Hybrid Machine Learning Jobs

they're your toolkit. Bedrock Builder: Hands-on experience with AWS Bedrock (Agents, Knowledge Bases, Guardrails, and the full model lifecycle). AI/ML Foundations: Deep understanding of FMs, RAG , non-deterministic agents, and complex tool-use. Secure AI: Expert-level knowledge of OWASP LLM Top 10 and Agentic ...

services and infrastructure as code (Terraform preferred) Proven experience building and maintaining CI/CD pipelines Exposure to or strong interest in AI/ML integration or AI-assisted development workflows Ability to mentor others and contribute to a high-performing engineering culture Strong problem-solving skills and a proactive ...

large language models, collaborating closely with researchers Curate code examples, provide precise solutions, and make corrections across the full stack (Python for backend/ML workflows; JavaScript: React, Node.js for frontend/API; plus C/C++, Java, Rust, Go) Evaluate and refine AI-generated code for efficiency, scalability ...

mindset with a passion for building high-quality technologyDesirable Experience * Life Science or regulated industry experience * GDPR and data security knowledge * AI/ML integrations or personalisation systems * SaaS or startup experienceWhat's On Offer * £80,000 - £90,000 salary * Hybrid working (office 2-3 days per week) * 30 days ...

mindset with a passion for building high-quality technology Desirable Experience Life Science or regulated industry experience GDPR and data security knowledge AI/ML integrations or personalisation systems SaaS or startup experience What's On Offer £100,(Apply online only),000 salary Hybrid working (office 2-3 days ...

Solid experience configuring and administering Nagios monitoring platforms. Practical experience with streaming telemetry technologies including gNMI, gRPC, Telegraf, and gNMIc. Exposure to AI/ML-driven monitoring, analytics, or anomaly detection solutions. Strong understanding of networking fundamentals including TCP/IP, BGP, OSPF, VLANs, and optical networking technologies. Ability ...

operational problems for enterprise clients. This is an Outside IR35 contract working on greenfield AI projects for enterprise clients. This is not a pure ML research role. It’s applied, product-minded, and delivery-focused. You’ll work on systems that extract information, reason over documents, automate workflows, connect into … applications Move quickly from concept to working product We’re looking for: Strong software engineering experience Hands-on experience with AI, LLMs, RAG, agents, ML systems, or automation Good backend engineering capability Experience with APIs, data, integrations, and production systems Clear communication and client-facing confidence A bias for action ...

rapidly scaling mobile app and a strong reputation for customer-centric product design. After significant growth, they are now investing heavily in AI and ML for the first time and are building out new capabilities to deliver more personalised, context-aware experiences. You will join a collaborative product organisation based … London, working closely with engineering, data and decisioning teams. The Role You will: * Define where and how AI and ML can be applied across the customer journey to drive personalisation and intelligent guidance. * Lead end-to-end product management, from problem identification through to delivery and measurement. * Provide strategic direction ...

tooling and methodologies, with a particular focus on AI AI Testing: A Core Differentiator • Bring genuine expertise in testing AI-enabled systems, including LLMs, machine learning models and AI-integrated platforms • Understand and apply appropriate techniques for testing non-deterministic systems where traditional approaches do not fully apply … testing standards, frameworks or centre of excellence activity Desirable • Experience with AI testing tools and frameworks, including those specifically designed for LLM or ML model evaluation • Familiarity with UK Government delivery frameworks and governance requirements • Background in setting up or leading a testing practice within a consultancy • ISTQB or equivalent ...

Intelligence Architect (AI) | Agentic AI/Machine Learning | UK Conquer AI is hiring Intelligence Architects who are builders who can take messy, real-world operational problems and turn them into AI systems that actually run in production. This is not a research only role … quickly from ambiguity to working systems We’re looking for: Strong software engineering and systems thinking capability Hands-on experience with AI, LLMs, RAG, ML systems, agents, or workflow automation Experience designing production systems and integrations Strong understanding of APIs, orchestration, data pipelines, and backend systems Ability to operate ...

Stakeholder Influence Excellent stakeholder management skills, with the credibility and confidence to challenge, influence, and advise senior technical and non-technical stakeholders. Technology Advocacy & Learning A proactive technical advocate and continuous learner, staying current with emerging technologies and innovation, and encouraging the same mindset within the team. Mentorship & Technical … 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 ...

through advanced analytics and AI. Experience working with senior business leaders and C-suite stakeholders. Expertise in areas such as forecasting, optimisation, pricing, risk, machine learning, or AI systems. Commercial mindset with the ability to lead, influence, and grow client relationships. Why Join? This is an opportunity ...

JSON for data exchange and have knowledge of JavaScript frameworks. Knowledge of a server side language such as Java, and of Artificial Intelligence and Machine Learning would be advantageous to your application. This is an outstanding opportunity for a graduate to take the first step in their career ...

kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream ...

kind of pricing infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

software engineering, with the ability to operate both strategically and hands on. Key requirements include: * Proven ability to deliver AI or machine learning solutions into production environments * Strong programming capability in Python and modern AI frameworks * Experience working with LLMs and tools such as LangChain or similar ecosystems ...

Competent a data analysis and basic statistics Competent at understanding JSON data structures and being able to visual data manipulation. Ideally some experience in Machine Learning/Artificial Intelligence and/or Native apps. ...

passionate about using their skills to drive positive change. Mind Detect provides exceptional recruitment services to businesses who are leading the way in Data, Machine Learning and AI-driven technologies throughout Europe, the US and Asia. ...

experience, ideally on technology or data projects. Demonstrated experience leading client-facing discovery, requirements gathering, or solutioning sessions. Working understanding of how AI and machine learning systems are built and deployed (you don't need to write the code, but you need to know what's hard ...

efficiently, and increase long-term growth, customer loyalty and profitability. Our customers include hotels, attractions and tourism boards, and they use the power of machine learning, data science and real-time traveler data in Sojern’s products to build direct relationships with travelers across social, mobile ...