13 of 13 Permanent Artificial Intelligence Engineering Jobs in Tyne and Wear

Production: Shift the teams focus from sandboxed proof‐of‐concepts (PoCs) to reliable, resilient applications deployed to production for global users, leading AI engineering for AI team solutions and actively supporting junior engineers through this transition. Evolve AI Maturity Support the companys evolving AI strategy, providing an expert … Experience AI Orchestration & Development: Expert-level experience building complex LLM‐powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language models ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed … skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed … skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed … skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step ...

contributing to our internal communities and best practices.* Capability Development - Contribute to thought leadership, blog posts, or internal accelerator development in emerging AI engineering topics such as Agentic AI, LLMOps, or evaluation frameworks.* Experience working in a major Consulting firm, and/or in industry but having ...

writing high‐quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. … Practitioner) — delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands‐on depth across the AI engineering stack is essential: Strong general‐purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure ...

writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. … Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure ...

checks to strengthen the multidisciplinary delivery team. Alongside the DDaT competencies, given the scale of this programme, hands-on depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks … deployment pipelines, monitoring, and rollback for AI services in production Fine-tuning and parameter-efficient adaptation techniques where appropriate to use case Data engineering for AI: ingestion, cleaning, and lineage across Legacy and multi-cloud sources Infrastructure-as-Code and CI/CD practices adapted for AI workloads ...

design iteration time, automate repetitive engineering decisions, and unlock generative design where it pays.Tooling. Accelerate tool design, optimize tool life, and bring intelligence to tool path generation.Manufacturing. Improve throughput, reduce scrap, predict defects before they happen, close the loop between machine data and process control.What success looks … class data architecture, tools and processes that support the global adoption of iCOMAT’s Rapid Tow Shearing technology.Lead the development of iCOMAT’s AI Engineering team and grow the capability in line with the growth of the company.Support the work of the Structures Engineering, RTS Engineering ...

commercial models) and optimize execution latency for production AI features. Cross-Functional Upskilling: Lead workshops, design blueprints, and create documentation to empower non-AI engineering teams to build and maintain their own AI-driven features confidently. Rapid Prototyping (PoC to Production): Drive the engineering execution … Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep technical expertise in Python or Go, semantic search, vector databases (e.g., Pinecone, Milvus, pgvector), orchestration frameworks (LangChain, LlamaIndex), and fine-tuning ...

Rentokil Initial seeks an experienced AI engineering leader to head the engineering efforts within the Agentic Factory. You will bridge business requirements with technical execution, mentoring a team of AI engineers and data scientists while delivering scalable genAI and multi-agent solutions. You will collaborate with ...

very keen to hear from those with a Ph.D. directly related to NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning/AI Excellent academics throughout including a minimum of a 2.1 degree from a leading university … Level Published papers Good understanding of software engineering concepts Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn Data Science experience including working with large data sets Responsibilities for Machine Learning Research Engineer Join a team responsible for investigating the latest research in machine ...

Actian is seeking an AI Enablement Lead to architect and own the AI enablement strategy across our Data Intelligence Platform. You will build practical tooling, pipelines, and governance to deploy AI safely at scale. You will lead cross-functional efforts, establish LLMOps practices, and drive PoC to production, enabling … teams to deliver AI-driven features quickly. This role offers remote or hybrid work, a competitive package, and the chance to influence AI engineering #J-18808-Ljbffr ...