artificial intelligence engineer

Roke

<div>
 
 
 AI Engineer &ndash; National Security
 
 
 
 
 
 
 Great ideas come from different minds. That's why we bring together engineers, data scientists, analysts, researchers, and innovators from diverse backgrounds &mdash; giving them the trust, tools, and freedom to solve complex problems and deliver meaningful impact.
 
 
 
 
 
 As technology continues to evolve, so do we. We work on cutting-edge solutions that transform organisations through Artificial Intelligence, Machine Learning, Data Science, Cloud Technologies, and Advanced Analytics.
 
 
 
 
 
 We are seeking talented AI Engineers to join our growing capability and help design, develop, and deploy AI-powered solutions that deliver real-world outcomes across government, defence, national security, and commercial sectors.
 
 
 
 
 
 
 Role
 
 
 
 
 
 
 We are looking for experienced AI Engineers to strengthen our delivery capability across a range of AI and Machine Learning programmes.
 
 
 
 
 
 The successful candidates will work across the full AI lifecycle, from requirements gathering and solution design through to model development, deployment, optimisation, and operational support. This is a hands-on technical role requiring strong software engineering practices combined with expertise in modern AI technologies, machine learning frameworks, and cloud-native architectures.
 
 
 
 
 
 You will collaborate with multidisciplinary teams to build scalable, secure, and production-ready AI systems that solve complex business and operational challenges.
 
 
 
 
 
 
 Primary Job Purpose
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI and Machine Learning solutions to address complex customer requirements.
 </li>
 <li>
 Build scalable AI applications, services, and platforms using modern software engineering practices.
 </li>
 <li>
 Develop, evaluate, and optimise machine learning models, including Large Language Model (LLM) solutions.
 </li>
 <li>
 Integrate AI capabilities into enterprise systems, products, and operational environments.
 </li>
 <li>
 Support technical architecture, solution design, and technology selection activities.
 </li>
 <li>
 Ensure AI solutions are secure, reliable, maintainable, and aligned with customer needs.
 </li>
 <li>
 Provide specialist technical advice and support to our business change community.
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Engineering &amp; Development
 
 
 
 
 
 <ul>
 <li>
 Design and develop AI-enabled applications using Python and modern development frameworks.
 </li>
 <li>
 Build and deploy machine learning, deep learning, and Generative AI solutions.
 </li>
 <li>
 Develop and optimise Retrieval-Augmented Generation (RAG) pipelines and LLM-powered applications.
 </li>
 <li>
 Integrate AI services with cloud platforms, APIs, databases, and enterprise systems.
 </li>
 <li>
 Create scalable data processing and feature engineering pipelines.
 </li>
 <li>
 Implement MLOps practices including model deployment, monitoring, testing, and lifecycle management.
 </li>
 <li>
 Evaluate model performance and continuously improve accuracy, reliability, and efficiency.
 </li>
 <li>
 Apply software engineering best practices including version control, CI/CD, testing, and code reviews.
 </li>
 <li>
 Support technical investigations, proof-of-concepts, and innovation activities.
 </li>
 </ul>
 
 
 
 
 
 Architecture &amp; Solution Design
 
 
 
 
 
 <ul>
 <li>
 Contribute to solution architecture and technical design decisions.
 </li>
 <li>
 Conduct trade-off analysis across performance, scalability, cost, security, and maintainability.
 </li>
 <li>
 Support the selection and evaluation of AI models, frameworks, and platforms.
 </li>
 <li>
 Ensure solutions align with enterprise architecture and governance requirements.
 </li>
 </ul>
 
 
 
 
 
 Delivery &amp; Customer Engagement
 
 
 
 
 
 <ul>
 <li>
 Work closely with project managers, technical leads, and customer stakeholders to deliver successful outcomes.
 </li>
 <li>
 Translate business requirements into technical AI solutions.
 </li>
 <li>
 Provide technical guidance and expertise throughout the project lifecycle.
 </li>
 <li>
 Present findings, demonstrations, and recommendations to technical and non-technical audiences.
 </li>
 <li>
 Identify risks, dependencies, and opportunities early to support successful delivery.
 </li>
 </ul>
 
 
 
 
 
 Essential Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 Commercial experience developing AI, Machine Learning, or Data Science solutions.
 </li>
 <li>
 Strong software engineering experience using Python.
 </li>
 <li>
 Experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit-Learn, or equivalent.
 </li>
 <li>
 Experience developing Generative AI and LLM-based applications.
 </li>
 <li>
 Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering techniques.
 </li>
 <li>
 Experience deploying applications within cloud environments such as AWS, Azure, or Google Cloud Platform.
 </li>
 <li>
 Understanding of APIs, microservices, and distributed systems architectures.
 </li>
 <li>
 Experience with containerisation technologies such as Docker and Kubernetes.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Excellent communication and stakeholder engagement capabilities.
 </li>
 </ul>
 
 
 
 
 
 Desirable Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 MLOps experience using MLflow, Kubeflow, SageMaker, Azure ML, or similar platforms.
 </li>
 <li>
 Experience with Agentic AI, AI orchestration frameworks, and multi-agent systems.
 </li>
 <li>
 Knowledge of data engineering technologies and large-scale data platforms.
 </li>
 <li>
 Experience working in secure, regulated, or mission-critical environments.
 </li>
 <li>
 Familiarity with cybersecurity principles and secure AI development.
 </li>
 <li>
 Experience working with NLP, computer vision, reinforcement learning, or predictive analytics solutions.
 </li>
 <li>
 Knowledge of Responsible AI, AI governance, and model risk management frameworks.
 </li>
 <li>
 Exposure to DevOps, Platform Engineering, and Infrastructure as Code practices.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Mathematics, Physics, or a related discipline.
 </li>
 <li>
 Relevant industry certifications are advantageous.
 </li>
 </ul>
 
 
 
 
 
 What You'll Bring
 
 
 
 
 
 <ul>
 <li>
 A passion for solving complex technical challenges.
 </li>
 <li>
 A collaborative mindset and ability to work effectively within multidisciplinary teams.
 </li>
 <li>
 Curiosity about emerging technologies and AI advancements.
 </li>
 <li>
 A commitment to delivering high-quality, customer-focused solutions.
 </li>
 <li>
 Strong attention to detail and continuous improvement.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 
 
 
 
 You'll have the opportunity to work on innovative AI programmes that tackle some of the most interesting challenges across government, defence, national security, and commercial sectors.
 
 
 
 
 
 Working alongside highly skilled engineers, scientists, and technology specialists, you'll help shape the next generation of intelligent systems while continuing to grow your own skills and career.
 
 
 
 
 
 
 Security Clearance (Where Applicable)
 
 
 
 
 
 
 Some opportunities may require eligibility for, or possession of, UK Government Security Clearance. Clearance requirements will be discussed during the recruitment process.
 
 
 
 
 
 
 The Next Step
 
 
 
 
 
 
 If you're passionate about Artificial Intelligence and want to help deliver innovative solutions that create real impact, we'd love to hear from you. Please submit an up-to-date CV outlining your experience, technical expertise, and career achievements.
 
 
 
 
</div>

Artificial Intelligence Engineer

HUED | هيود

<div>
 
 
 Job Summary
 
 
 
 We are seeking an experienced AI Applications / Solutions Engineer to design, build, and deploy intelligent solutions powered by modern AI technologies. The ideal candidate will have strong expertise in Large Language Models (LLMs), Generative AI (GenAI), and Retrieval-Augmented Generation (RAG) systems, with the ability to integrate AI models with enterprise data and business workflows.
 
 
 This role requires a strong software engineering background combined with hands-on experience in developing scalable AI-driven applications, optimizing model performance, and delivering production-ready solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and Generative AI technologies.
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines integrated with enterprise data sources.
 </li>
 <li>
 Develop effective prompt engineering strategies to improve AI output quality, consistency, and reliability.
 </li>
 <li>
 Prepare and process structured and unstructured datasets for AI model consumption, including data cleaning, chunking, and embedding generation.
 </li>
 <li>
 Integrate AI systems with internal platforms, APIs, and business applications.
 </li>
 <li>
 Work with vector databases such as Pinecone or FAISS for semantic search and knowledge retrieval.
 </li>
 <li>
 Evaluate model performance and continuously improve solution accuracy, latency, and scalability.
 </li>
 <li>
 Collaborate with cross-functional teams to identify AI use cases and deliver business-driven solutions.
 </li>
 <li>
 Stay updated with the latest advancements in AI, LLMs, and GenAI technologies.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Software Engineering, AI, or a related field.
 </li>
 <li>
 Minimum 4 years of software development experience.
 </li>
 <li>
 Recent hands-on experience in Artificial Intelligence, particularly in LLM and GenAI applications.
 </li>
 <li>
 Strong understanding of Large Language Models (LLMs) and their practical applications.
 </li>
 <li>
 Proven experience in designing and implementing Generative AI solutions.
 </li>
 <li>
 Strong experience in Prompt Engineering.
 </li>
 <li>
 Hands-on experience building RAG solutions.
 </li>
 <li>
 Strong proficiency in Python.
 </li>
 <li>
 Experience in data preparation for AI systems (Cleaning, Chunking, Embedding).
 </li>
 <li>
 Experience working with vector databases such as Pinecone or FAISS.
 </li>
 <li>
 Familiarity with Fine-Tuning techniques is a strong plus.
 </li>
 </ul>
</div>

Digital Waffle

<div>
 
 
 AI Software Engineer
 
 
 
 
 
 <ul>
 <li>
 
 Onsite role in Soho
 
 </li>
 <li>
 
 &pound;80-120k depending on experience
 
 </li>
 </ul>
 
 
 
 
 We&rsquo;re on a mission to reinvent how AI understands people &mdash; not through CVs or data points, but through story, reasoning, and curiosity. We&rsquo;re building systems that listen, interpret, and understand
 
 why
 
 people say what they say. The goal? Create AI that perceives
 
 human potential
 
 , not just human input.
 
 
 If you love working on ideas that feel impossible &mdash; keep reading.
 
 
 
 
 
 
 The Role
 
 
 
 We&rsquo;re looking for an engineer who blends
 
 technical depth with creative instinct
 
 .
 
 
 You&rsquo;ll work directly with founders to shape the
 
 intelligence layer
 
 behind a new generation of human-aware AI &mdash; from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent.
 
 
 
 
 
 If you&rsquo;ve worked in a
 
 disruptive industry
 
 and built something brand new &mdash; not just improved what already existed &mdash; this will feel familiar.
 
 
 
 
 
 
 What You&rsquo;ll Be Building
 
 
 <ul>
 <li>
 Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding
 </li>
 <li>
 Fast, intuitive interfaces that make human-AI interaction feel alive
 </li>
 <li>
 Rapid prototypes that turn bold ideas into working products
 </li>
 <li>
 Scalable infrastructure for experimentation and learning
 </li>
 </ul>
 
 
 
 
 
 You&rsquo;ll Thrive Here If You
 
 
 <ul>
 <li>
 Come from a
 
 disruptive, fast-moving environment
 
 </li>
 <li>
 Have helped launch or shape
 
 new ideas, products, or technologies
 
 </li>
 <li>
 Think in systems and build with elegance
 </li>
 <li>
 Believe speed drives creativity
 </li>
 <li>
 Are curious about human cognition and behaviour
 </li>
 <li>
 Value truth, craft, and collaboration over hierarchy
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 Deep fluency in
 
 TypeScript
 
 and modern frameworks
 </li>
 <li>
 Experience with
 
 vector databases
 
 and
 
 embeddings
 
 </li>
 <li>
 Strength in
 
 LLM fine-tuning
 
 or multimodal reasoning
 </li>
 <li>
 Proven ability to ship full-stack products fast
 </li>
 <li>
 Strong
 
 Python
 
 skills
 </li>
 <li>
 Experience using
 
 Gemini
 
 would be preferred
 </li>
 </ul>
 
 
 
 
 
 The Culture
 
 
 
 Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.
 
</div>

Confidential Careers

<div>
 
 
 We&rsquo;re Hiring: AI Engineer | UAE N
 
 
 
 We are looking for a passionate and hands-on
 
 AI Engineer
 
 to join our growing team and help build cutting-edge AI-powered solutions.
 
 
 
 
 
 
 About the Role
 
 
 
 As an AI Engineer, you will be responsible for
 
 designing, building, and deploying AI-driven features and applications
 
 using large language models (LLMs) such as GPT and Claude. This is a highly practical role focused on
 
 developing real-world AI products
 
 , not research or model training.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Develop and deploy AI-powered applications from prototype to production
 </li>
 <li>
 Integrate LLMs (GPT, Claude) into business solutions using APIs
 </li>
 <li>
 Design prompts, workflows, and AI agents to improve output quality
 </li>
 <li>
 Work with Azure AI Foundry and modern AI platforms
 </li>
 <li>
 Continuously evaluate and adopt new AI tools and technologies
 </li>
 <li>
 Collaborate with product, design, and engineering teams
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Degree in Computer Science, AI, or related field
 </li>
 <li>
 Strong Python and software engineering skills
 </li>
 <li>
 Experience working with APIs and LLM integrations
 </li>
 <li>
 Hands-on experience with GPT, Claude, or similar models
 </li>
 <li>
 Familiarity with tools like Git and modern AI frameworks
 </li>
 <li>
 Ability to work in a fast-paced, evolving environment
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar frameworks
 </li>
 <li>
 Knowledge of RAG, vector databases, or Azure AI tools
 </li>
 <li>
 Exposure to open-source LLMs (Hugging Face, Ollama)
 </li>
 </ul>
</div>

Maxwell Bond

<div>
 
 
 AI Engineer
 
 
 
 
 Location: Northwich (Hybrid)
 
 
 
 
 Salary: &pound;75,000 - &pound;85,000
 
 
 
 
 
 
 We are supporting a well-established software business that is looking to appoint an experienced
 
 AI Engineer
 
 to help drive the adoption and integration of AI technologies across their products and processes.
 
 
 
 
 
 This is a newly focused AI position where you will have the opportunity to identify practical applications of AI, develop solutions, and work closely with technical teams and business stakeholders to deliver meaningful improvements.
 
 
 
 
 
 The successful candidate will have a strong technical background and the ability to bridge the gap between AI capabilities and real-world business requirements. You will be involved across the full lifecycle of AI initiatives, from exploring opportunities and prototyping solutions through to integration, testing and ongoing optimisation.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Identify opportunities where AI can improve products, processes and operational efficiency
 </li>
 <li>
 Design, develop and prototype AI-driven solutions
 </li>
 <li>
 Integrate AI models, tools and services into existing software platforms
 </li>
 <li>
 Support the implementation and improvement of AI capabilities
 </li>
 <li>
 Test, evaluate and optimise AI outputs and performance
 </li>
 <li>
 Work alongside software engineers, product teams and business stakeholders
 </li>
 <li>
 Translate business requirements into effective AI solutions
 </li>
 <li>
 Troubleshoot technical issues and support continuous improvement
 </li>
 <li>
 Maintain documentation relating to AI solutions, integrations and processes
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Experience:
 
 
 <ul>
 <li>
 Commercial experience working with AI technologies, machine learning or related solutions
 </li>
 <li>
 Strong programming skills, particularly with Python
 </li>
 <li>
 Experience integrating AI models, APIs or automation solutions
 </li>
 <li>
 Understanding of AI/ML frameworks and modern AI development practices
 </li>
 <li>
 Experience working with cloud technologies (Azure experience beneficial)
 </li>
 <li>
 Strong software engineering understanding and experience working with system integrations
 </li>
 <li>
 Ability to analyse problems, test solutions and improve performance
 </li>
 <li>
 Excellent communication skills with the ability to work with both technical and non-technical teams
 </li>
 </ul>
 
 
 
 
 
 Desirable:
 
 
 <ul>
 <li>
 Experience with data processing and management tools
 </li>
 <li>
 Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch.
 </li>
 <li>
 Experience deploying AI solutions into production environments
 </li>
 </ul>
 
 
 
 
 This is an excellent opportunity for an AI Engineer who wants to take ownership of AI initiatives and play a key role in shaping how AI is applied within an established technology environment.
 
 
 
 
 
 
 Hybrid working available from the Northwich office. Applicants must be UK based and live in a realistic commutable location from Northwich.
 
 
</div>

THRivve by intelletec

<div>
 
 
 Expert AI Engineer &ndash; GenAI | Series B Fintech | London (Hybrid)
 
 
 
 
 
 
 We&rsquo;re hiring an Expert AI Engineer to help build a next-generation GenAI product used by top-tier banks, hedge funds, and asset managers. This is a high-impact role on a brand-new AI product&mdash;turning massive financial datasets into real-time, explainable insights using LLMs.
 
 
 You&rsquo;ll own architecture, ship production-grade AI systems, and work directly on a product already gaining serious traction with enterprise clients.
 
 
 
 
 
 
 Key points:
 
 
 <ul>
 <li>
 Build and scale LLM-powered features across large, complex datasets
 </li>
 <li>
 Design retrieval + reasoning systems for structured &amp; unstructured data
 </li>
 <li>
 Own end-to-end delivery of production AI applications
 </li>
 <li>
 Work closely with product + domain experts in a fast-moving team
 </li>
 </ul>
 
 
 
 
 
 What they want:
 
 
 <ul>
 <li>
 ~10+ years engineering experience
 </li>
 <li>
 Strong hands-on GenAI / LLM experience in production
 </li>
 <li>
 Solid backend skills (Python or similar)
 </li>
 <li>
 Proven ownership of complex systems
 </li>
 </ul>
 
 
 
 
 
 Package:
 
 
 <ul>
 <li>
 Up to &pound;130k base + equity
 </li>
 <li>
 London (Victoria) &ndash; Hybrid
 </li>
 </ul>
 
 
 
 
 High ownership, real-world impact, and a chance to shape how AI is used in global finance&mdash;drop me a message if you&rsquo;re interested.
 
</div>

MBN Solutions

<div>
 
 
 AI Engineer &ndash; Human Behaviour &ndash; Early stage startup - London, Hybrid (3 days per week) - &pound;80,000 to &pound;120,000 + Equity
 
 
 
 Businesses have always relied on historical data to understand what customers have done. This startup is changing that. By simulating thousands of autonomous AI agents that model human behaviour, organisations can predict how customers are likely to respond before launching a product, changing pricing or making strategic decisions.
 
 
 
 
 
 
 Story so far:
 
 
 
 This is a rare opportunity to join a very early stage, well funded AI startup at the earliest stage of its journey, working alongside second time founders with previous successful exits and leadership experience at some of the world's leading technology companies.
 
 
 Having recently secured multi million pound pre seed funding, the business has already validated its technology with paying enterprise customers and is now building the first production version of a platform that aims to predict human behaviour using AI driven simulations.
 
 
 Rather than relying on historical analytics, the platform creates thousands of autonomous AI agents that simulate customer behaviour, allowing organisations to test pricing, commercial strategies and decision making before deploying them in the real world.
 
 
 Over the next few months you'll play a key role in taking successful pilots into a scalable product while working directly with customers and helping shape the technical direction of the business.
 
 
 
 
 
 
 The team:
 
 
 
 
 Founder 1
 
 
 
 An ex Meta AI engineer with over a decade of experience building production AI systems. A proven technical founder who has already built one successful AI startup and is now starting again
 
 
 
 Founder 2
 
 
 
 A second time founder whose previous company was acquired by a massive wearable company. Former Venture Partner with deep experience across startups, fundraising and scaling technology businesses.
 
 
 
 
 
 
 
 
 
 The role
 
 
 
 You'll work closely with AI researchers and software engineers to build an AI first product from the ground up.
 
 
 
 
 
 This is a hands on engineering role where you'll be developing and deploying production grade multi agent systems at scale, helping improve model quality and reliability while ensuring the platform can support tens of thousands of autonomous agents.
 
 
 You'll be involved in:
 
 <ul>
 <li>
 Building and deploying production multi agent AI systems with 25k Agnets
 </li>
 <li>
 Improving LLM performance through evaluation and experimentation
 </li>
 <li>
 Reducing hallucinations and improving model reliability
 </li>
 <li>
 Working with open source foundation models, inference optimisation and quantisation
 </li>
 <li>
 Collaborating with researchers to translate cutting edge ideas into production software
 </li>
 <li>
 Building AI capabilities that become core to the product
 </li>
 <li>
 Working directly with enterprise customers to understand requirements and deliver solutions
 </li>
 </ul>
 
 
 
 
 
 What we're looking for
 
 
 <ul>
 <li>
 5+ years of software or AI engineering experience
 </li>
 <li>
 Experience building and deploying AI applications into production
 </li>
 <li>
 Strong Python skills
 </li>
 <li>
 Experience working with LLMs and modern AI frameworks
 </li>
 <li>
 Understanding of inference, model optimisation and evaluation frameworks
 </li>
 <li>
 Experience with multi agent systems &ndash; CrewAI, LangGraph, etc
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience training or fine tuning open source models
 </li>
 <li>
 Experience building evaluation pipelines for LLM applications
 </li>
 <li>
 Background in machine learning, NLP or applied AI research
 </li>
 <li>
 Experience in startups from Seed to Series A
 </li>
 </ul>
 
 
 
 
 
 Interested?
 
 
 
 If you&rsquo;d like to hear more, apply now or get in touch:
 
 
 mo@mbnsolutions.com
 
 
 02037736498
 
</div>

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