12 of 12 Remote/Hybrid Artificial Intelligence Engineering Jobs in the South East

Production: Shift the team’s 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 company’s evolving AI strategy, providing … 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 ...

cutting-edge software solutions for the healthcare sector. As part of our continued investment in Artificial Intelligence, we are expanding our AI Engineering team to build intelligent solutions that improve user experiences, automate complex workflows, and solve real-world challenges. We are looking to hire … Large Language Models (LLMs), Generative AI, Agentic AI, and real-time AI technologies, helping to deliver production-ready AI capabilities within a collaborative engineering environment. The AI Engineer MUST have: 5+ years of commercial software development experience Strong programming expertise in Python, Java, and JavaScript Proven experience building ...

Head of AI Engineering As a member of the CIO Technology Engineering senior leadership team, the Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature … pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver measurable business value. About the role Lead AI engineering, MLOps and platform teams, driving high‐quality delivery ...

concept work. Key Responsibilities Design, build, and deploy machine learning models into production environments Work with generative AI/LLM integration, including prompt engineering, fine-tuning, or RAG-based architectures Collaborate with data engineers and software developers to build robust data pipelines feeding ML systems Monitor and maintain … with emerging techniques, tools, and frameworks in the AI/ML space Essential Skills & Experience 2-4 years' experience in a machine learning, AI engineering, or applied data science role Strong Python skills, with experience in ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Experience deploying models to production ...

member of the CIO Technology Engineering senior leadership team, the Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines andMLOpstooling. The roleis responsible forestablishingAI engineering … standards,governanceand best practices across the model lifecycle, ensuring solutions are scalable, secure, compliant and deliver measurable business value. About the role Lead AI engineering, MLOps and platform teams, driving high-quality delivery and operational excellence. Define andmaintainengineering standards, AIguardrailsand Responsible AI practices. Oversee model development, deployment, monitoring ...

governance, and business stakeholders. Navigating complex and ambiguous problem spaces to identify practical AI opportunities. Providing technical leadership, guidance, and mentoring within the AI engineering function. Contributing to the wider AI strategy and future direction of the capability. Your Skills & Experience Strong commercial experience delivering GenAI solutions into … software engineering fundamentals and experience building scalable applications. Experience making architecture and technology decisions within enterprise organisations. Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts. Experience working with cloud platforms, ideally AWS. Ability to balance innovation with risk, governance ...

Location: London (Hybrid) Type: Full-time The Opportunity We're looking for an experienced Senior Software Engineer to join a collaborative, high-performing engineering team developing market-leading SaaS products used to analyse and visualise some of the world's largest financial datasets. This is an opportunity … solutions across both single-tenant and multi-tenant architectures. Collaborate closely with Product to translate complex business requirements into robust technical solutions. Leverage AI engineering tools, coding assistants and automated workflows to improve productivity and code quality. Contribute to AWS cloud infrastructure, monitoring and operational excellence using services ...

help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with enterprise architecture and technical leadership … and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/ ...

/QC), ensuring solutions are fit for purpose, secure, low risk, and cost-efficient amid consumption-based AI pricing. Define and embed AI engineering standards, reference architectures, and reusable patterns, collaborating with infrastructure teams to govern shadow AI usage. Lead AI literacy and enablement across Digital … wider business. Mentor and uplift the Automation Practice team to diffuse AI capability and support transition to a permanent in-house AI Engineering Manager. Represent the Automation & AI Practice in cross-functional forums, translating AI strategy into delivery roadmaps and measurable outcomes. Skills & Experience Required Deep, hands ...

clients, clearly articulating technical capabilities, business outcomes and implementation approaches. Translate high-level solution concepts into actionable architecture, design and delivery guidance for engineering teams. Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques. Evaluate emerging AI technologies, frameworks … enterprise environments. Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent. Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI. Ability to engage confidently with senior stakeholders, communicate complex AI ...

clients, clearly articulating technical capabilities, business outcomes and implementation approaches. Translate high-level solution concepts into actionable architecture, design and delivery guidance for engineering teams. Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques. Evaluate emerging AI technologies, frameworks … enterprise environments. Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent. Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI. Ability to engage confidently with senior stakeholders, communicate complex AI ...

uses AI to predict where change will fail before it happens, automate the management of change across complex SAP landscapes, and harness the collective intelligence of the SAP community. For the enterprises we sell to, that means moving faster with far less risk. For you, it means carrying … visibility they need to move quickly without breaking things. AI is central to our product roadmap. We are investing in a dedicated AI engineering function — building predictive intelligence, automation, and agentic capabilities into Klario — which means you will always have new, differentiated capability to take to market. ...