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La Fosse

<div>
 
 
 AI Engineer
 
 
 <ul>
 <li>
 
 London (1 day per week in the office)
 
 </li>
 <li>
 
 Up to &pound;80,000
 
 </li>
 </ul>
 
 
 
 
 I'm supporting one of the UK's largest transport and infrastructure organisations as they continue to invest heavily in their Data &amp; AI capability.
 
 
 
 
 
 This is an opportunity to join a growing AI function where you'll help deliver business-facing AI agents and automation solutions that improve decision-making, productivity and access to information across the organisation. You'll be working at the forefront of the company's AI strategy, helping shape how AI is adopted in a large-scale enterprise environment.
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 This is a hands-on AI Engineering role focused on designing, building and deploying AI agents using Microsoft technologies. Success will come from combining strong technical capability with an ability to understand business problems and translate them into practical AI solutions.
 
 
 
 
 
 
 You'll:
 
 
 <ul>
 <li>
 Build and deploy AI agents using Microsoft Copilot Studio
 </li>
 <li>
 Work with stakeholders to understand business requirements
 </li>
 <li>
 Design scalable, secure and governed AI solutions
 </li>
 <li>
 Integrate AI agents with business processes and data platforms
 </li>
 <li>
 Monitor and improve agent performance and adoption
 </li>
 </ul>
 
 
 
 
 
 What I'm Looking For
 
 
 
 
 
 
 Communication is every bit as important as technical capability in this role. They're looking for someone who can engage stakeholders, understand complex business challenges and translate them into effective AI solutions.
 
 
 
 
 
 
 You'll likely have:
 
 
 <ul>
 <li>
 Experience building AI agents, copilots or automation solutions
 </li>
 <li>
 Microsoft Copilot Studio experience
 </li>
 <li>
 Excellent stakeholder management and communication skills
 </li>
 <li>
 Experience gathering requirements and designing solutions
 </li>
 <li>
 Microsoft Fabric or enterprise data platform experience
 </li>
 </ul>
 
 
 
 
 If you're an AI Engineer who enjoys combining technical delivery with stakeholder engagement and wants to help shape AI adoption within a large enterprise, I'd be keen to discuss the opportunity.
 
 
 
 
 
 
 AI Engineer
 
 
</div>

AI Engineer

Abound

<div>
 
 About Abound
 
 
 
 We&rsquo;re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation.
 
 
 And we've shown it works at scale. We&rsquo;ve issued over
 
 &pound;1.3bn
 
 in loans directly to customers while delivering
 
 market-leading credit performance
 
 - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch.
 
 
 Backed by
 
 &pound;2bn+
 
 of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we&rsquo;re recognised as one of Europe&rsquo;s fastest-growing fintechs (Sifted, CNBC). Now, we&rsquo;re expanding into new markets and product lines - and we&rsquo;re looking for ambitious people who want to learn fast, take ownership, and grow with us.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a smart, curious, and practical AI Engineer to join our global team in our London office. You&rsquo;ll work on real-world Generative AI applications, AI agents, and Python-based automation solutions for the consumer lending industry. This role is ideal for someone who wants to turn AI capabilities into measurable business impact, not just build demos. You&rsquo;ll collaborate closely with our UK and Shenzhen teams to explore, build, evaluate, and integrate AI into customer operations, internal automation, risk workflows, and lending operations.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Build Generative AI and AI agent solutions for customer operations, internal automation, and lending operations
 </li>
 <li>
 Design prompts, workflows, and evaluation processes to make AI systems more reliable and useful
 </li>
 <li>
 Integrate LLMs with internal tools, APIs, databases, and business systems
 </li>
 <li>
 Write clean, scalable, and maintainable Python code
 </li>
 <li>
 Prototype quickly, test ideas, measure impact, and iterate based on real business needs
 </li>
 <li>
 Collaborate with teams in the UK and Shenzhen to identify high-value AI use cases.
 </li>
 <li>
 Help improve production reliability through testing, logging, monitoring, fallback handling, and human review where appropriate
 </li>
 <li>
 Stay up to date with AI trends and propose practical ways to apply them in our business
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Ideally, 1-3 years of hands-on experience in software engineering, AI, machine learning, automation, or related technical work
 </li>
 <li>
 Strong Python skills, including API integrations, data processing, async programming, and clean code practices
 </li>
 <li>
 Solid understanding of Generative AI concepts, including LLMs, embeddings, RAG, prompt engineering, structured outputs, and model limitations
 </li>
 <li>
 Familiar with prompt design patterns, evaluation methods, and techniques for improving reliability and reducing hallucination
 </li>
 <li>
 Interested in AI agents and workflow design, including tool calling, task planning, memory, orchestration, and human-in-the-loop systems
 </li>
 <li>
 Comfortable experimenting quickly, learning new tools, and turning ambiguous business problems into working solutions
 </li>
 <li>
 Able to communicate clearly with both technical and non-technical teams
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 Practical LLM applications beyond simple chatbots or demos
 </li>
 <li>
 Experience with RAG, embeddings, structured outputs, function calling, or agentic workflows
 </li>
 <li>
 Understand how to evaluate AI outputs and improve reliability over time
 </li>
 <li>
 Worked with cloud AI platforms such as GCP Vertex AI, AWS Bedrock, Azure OpenAI, or similar tools
 </li>
 <li>
 Experience with financial services, consumer lending, credit risk, collections, or operations automation
 </li>
 <li>
 Experience with AI coding tools, such as Claude Code, Codex, or Cursor
 
 
 </li>
 </ul>
 
 What We Value
 
 
 
 <ul>
 <li>
 Strong problem-solving ability
 </li>
 <li>
 Curiosity about how AI systems work under the hood
 </li>
 <li>
 Product sense and business awareness
 </li>
 <li>
 Bias for action and fast learning
 </li>
 <li>
 Ownership, pragmatism, and attention to quality
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Everyone owns a piece of the company - equity
 </li>
 <li>
 Hybrid with 3 days a week in the office
 </li>
 <li>
 25 days&rsquo; holiday a year, plus 8 bank holidays
 </li>
 <li>
 2 paid volunteering days per year
 </li>
 <li>
 One month paid sabbatical after 4 years
 </li>
 <li>
 Employee loan
 </li>
 <li>
 Free gym membership through WellHub
 </li>
 <li>
 Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering
 </li>
 </ul>
</div>

Global Travel Systems

<div>
 
 
 AI Engineer
 
 
 
 
 
 
 
 Company Description
 
 Global Travel Systems (GTS) specializes in outsourcing a wide range of roles within the travel industry, including business travel consultants, travel sales consultants, ticketing professionals, IT support, and accounting teams focused on travel. The company supports both permanent and temporary staffing needs and works closely with clients such as travel management companies, cruise operators, luxury holiday brands, airlines, and hotels. GTS maintains professional teams dedicated to understanding and meeting client requirements across the travel and tourism sector. Backed by a leadership team with over 50 years of managerial experience in the travel industry, GTS aims to deliver comprehensive staffing solutions that not only meet but exceed client expectations.
 
 
 
 
 
 
 Role Description
 
 The AI Engineer role at Global Travel Systems is a full-time, on-site /hybrid position based in Central London. The AI Engineer will design, develop, and deploy AI models and tools that support travel-related operations, such as optimizing workflows, enhancing customer experiences, and improving decision-making. Day-to-day responsibilities include building and training machine learning and neural network models, implementing natural language processing solutions for travel data and customer interactions, and integrating AI components into existing software systems. The role involves collaborating with software developers, data analysts, and business stakeholders to understand requirements, refine algorithms, and ensure robust, scalable, and maintainable AI solutions. The AI Engineer will also monitor model performance, perform pattern recognition analysis on large datasets, and apply best practices in software development, testing, and documentation.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong foundation in Computer Science and Software Development, including algorithms, data structures, and coding best practices.
 </li>
 <li>
 Hands-on experience with Neural Networks and Pattern Recognition for building and optimizing AI and machine learning models.
 </li>
 <li>
 Practical skills in Natural Language Processing (NLP), particularly for text analysis, conversational interfaces, and travel-related data.
 </li>
 <li>
 Proficiency in one or more programming languages commonly used in AI (such as Python, Java, or C++) and experience with relevant ML frameworks (such as TensorFlow, PyTorch, or scikit-learn).
 </li>
 <li>
 Experience working with large datasets, data preprocessing, and model evaluation techniques.
 </li>
 <li>
 Bachelor&rsquo;s degree or higher in Computer Science, Software Engineering, Data Science, or a related field.
 </li>
 <li>
 Ability to work collaboratively in cross-functional teams and communicate complex technical concepts clearly to non-technical stakeholders.
 </li>
 <li>
 Familiarity with cloud platforms and deployment practices for AI solutions is an advantage, as is exposure to travel or tourism industry systems.
 </li>
 </ul>
</div>

A&O Shearman

<div>
 
 We are currently recruiting for an
 
 AI Engineer
 
 to join our IT team in London. Reporting to the Senior AI Engineer, this role will be responsible for the strategy, design, and implementation of advanced AI and ML use cases across the firm. The role is a member of AI Platforms team and is an integral part of enabling AI use cases as well as motivating a team of skilled IT professionals and directing external third-party service providers.
 
 
 
 
 
 This individual is accountable for the implementation of the full lifecycle of AI solutions including model development, validation, deployment, and integration into other systems while providing feedback to continue to evolve the AI platform.
 
 
 
 
 
 The ideal candidate will have a strong background in machine learning, data analysis, and software development. The role will be responsible for designing, developing, and implementing AI solutions to solve complex problems and enhance our products and services resulting in improved experiences for our fee earners and business teams.
 
 
 
 
 
 
 Role &amp; responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy AI models and algorithms to address business challenges.
 </li>
 <li>
 Conduct data analysis and pre-processing to ensure high-quality input for AI models.
 </li>
 <li>
 Implement and optimize AI models for performance and scalability.
 </li>
 <li>
 Standardize model usage matching fit-for-purpose use cases and personas
 </li>
 <li>
 Work with finops to optimize and evaluate cost of AI technologies in relation to business outcomes.
 </li>
 <li>
 Stay up-to-date with the latest advancements in AI and machine learning technologies.
 </li>
 <li>
 Document and present findings and solutions to stakeholders.
 </li>
 <li>
 Champion ethical AI practices and model governance, including bias mitigation, and compliance with data security and privacy regulations
 </li>
 <li>
 Develop customer relationships with fee earners and business teams to manage the delivery of AI data modelling.
 </li>
 <li>
 Support the Enterprise Architecture &amp; Technology Platforms leadership team to collectively define, implement and operate the firm's AI modeling and deployment.
 </li>
 <li>
 Act as the focal point for matters related to AI data modelling, providing expert guidance to other teams when required.
 </li>
 <li>
 Other duties and responsibilities as assigned.
 </li>
 <li>
 Identify opportunities for continuous improvement in supporting the design, development, and deployment of the firm's AI models and systems .
 </li>
 </ul>
 
 
 
 
 
 Key requirements
 
 
 
 
 
 
 Experience
 
 <ul>
 <li>
 Direct or related experience in machine learning, deep learning, and AI model development, preferably within the legal or professional services sector.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, or C-Sharp.
 </li>
 <li>
 Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP, Azure), experience with Azure a plus.
 </li>
 <li>
 Experience leveraging AI code-writing assistants (e.g., GitHub Copilot, Claude Code, Codex)
 </li>
 <li>
 with appropriate engineering controls (code review, testing, security) in professional environments.
 </li>
 <li>
 Significant background in the IT industry, with experience leading/mentoring development teams
 </li>
 <li>
 Knowledge of IT strategic planning, design, and operations processes.
 </li>
 <li>
 Knowledge of current IT and data market trends and technology innovations.
 </li>
 <li>
 Knowledge and understanding of AI/ML platforms (eg Azure AI Foundry) and their operational management.
 </li>
 </ul>
 
 
 
 
 Personal
 
 <ul>
 <li>
 Proven stakeholder engagement and communication skills.
 </li>
 <li>
 Proven business acumen and ability to understand how they add value the function, firm or clients.
 </li>
 <li>
 Ability to lead and develop team members.
 </li>
 <li>
 Promotes the firm's values at all times and is comfortable working with a wide range of people and departments.
 </li>
 </ul>
 
 
 
 
 
 Should you require additional support at any stage of the recruitment process due to a disability or a health condition, please do not hesitate to contact a member of our recruitment team who will work with you to provide any adjustments as required.
 
 
 
 
 
 
 
 We are an equal opportunities recruiter and do not discriminate on the basis of race, colour, sex, religion, sexual orientation, national origin, disability, or any other protected characteristic.
 
 
 
 
 
 
 
 Our approach to hybrid working seeks to combine and maximise the benefits of effective remote working with the benefits of being in the office. Our current hybrid working arrangements require office based working for a minimum of 30% of your time (i.e. three days per two weeks for a full time role) in accordance with our hybrid working policy.
 
 
 
 
 
 
 
 
 NO AGENCIES PLEASE
 
 
 
 - A&amp;O Shearman does not accept unsolicited CVs. For further information, please see our UK Recruitment Agency Policy and our commitment to direct sourcing.
 
 
</div>

Xelix

<div>
 
 About Us
 
 
 
 At Xelix, we work with some of the world&rsquo;s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate &ndash; moving from manual processes to automated, intelligent workflows.
 
 
 Xelix is a fast-paced scale-up &ndash; things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team
 
 150
 
 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.
 
 
 In this role you&rsquo;ll grow, be challenged and help shape the future of Xelix. If you&rsquo;re excited about building something special with us, we&rsquo;d love to hear from you.
 
 
 
 About The Role
 
 
 
 We are hiring an AI Engineer to join our growing AI Engineering team. You&rsquo;ll design and build production AI systems &mdash; combining machine learning, large language models, and strong engineering &mdash; to solve real problems across documents, email, and financial data.
 
 
 We focus on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, enabling engineers to operate at a higher level &mdash; focusing on system design, product thinking, and solving complex problems.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 AI Systems &amp; Agents: design and build production AI systems &mdash; including agent-based workflows, tool use, and multi-step reasoning.
 </li>
 <li>
 Model Development &amp; Adaptation: develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches.
 </li>
 <li>
 LLM Platform Work: work with hosted and self-hosted models, contributing to decisions around model selection, performance, and cost.
 </li>
 <li>
 Production Engineering: write clean, maintainable Python and contribute to scalable, observable systems.
 </li>
 <li>
 Evaluation &amp; Iteration: design evals, measure performance rigorously, and improve systems using real-world feedback.
 </li>
 <li>
 AI-Assisted Development: use modern AI coding tools to move faster while maintaining high standards.
 </li>
 <li>
 Collaboration: work closely with product and engineering teams to deliver high-impact features.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Experience: 2&ndash;5 years building and shipping ML or AI-powered systems into production.
 </li>
 <li>
 Strong Engineering Skills: clean, testable Python; solid software design; experience working in production environments.
 </li>
 <li>
 AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents).
 </li>
 <li>
 Systems Thinking: ability to reason about trade-offs (accuracy, latency, cost, reliability) and design accordingly.
 </li>
 <li>
 Data Skills: SQL, pandas, and experience working with messy real-world data.
 </li>
 <li>
 AI-Native Workflow: comfortable using AI-assisted coding tools effectively.
 </li>
 <li>
 Curiosity &amp; Ownership: proactive in exploring new approaches and improving existing systems.
 </li>
 <li>
 Collaboration: strong cross-functional working style.
 
 
 </li>
 </ul>
 
 What We Offer In Return
 
 
 
 💰 Competitive salary of &pound;65,000 to &pound;75,000 depending on experience
 
 
 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days
 
 
 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office
 
 
 💪 On-site gym and cycle to work scheme
 
 
 🛍️ Employee discount at over 100 retailers
 
 
 🏥 Comprehensive private medical &amp; dental cover with Vitality
 
 
 🍼 Enhanced parental leave pay
 
 
 📚 Learning &amp; development culture &ndash; &pound;1,000 personal annual budget
 
 
 🌍 We&rsquo;re carbon-neutral and are working towards ambitious carbon reduction goals
 
 
 🎯 Lots of team socials &amp; activities
 
 
 ☀️ Annual team retreat
 
 
 
 Want to learn more?
 
 
 
 <ul>
 <li>
 About us
 </li>
 <li>
 Xelix blog
 </li>
 <li>
 Xelix news
 </li>
 <li>
 Xelix glassdoor
 
 
 </li>
 </ul>
 We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
 
 
 If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
 
 
 This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
 
 
 
 Interview Process
 
 
 
 While the exact process may vary slightly depending on the role, our typical interview stages are:
 
 
 <ul>
 <li>
 Introductory Call &ndash; A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
 </li>
 <li>
 Hiring Manager Interview &ndash; A 30&ndash;45 minute Teams meeting to explore your experience and fit for the team.
 </li>
 <li>
 Technical Task or Presentation &ndash; A role-relevant exercise to demonstrate your skills and approach.
 </li>
 <li>
 Final On-site Interview &ndash; An in-person meeting with our senior leadership team and co-founders at our office.
 
 
 </li>
 </ul>
 We strive to make the process clear, efficient, and respectful of your time.
 
 
 We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.
</div>

Cloud People

<div>
 
 
 Agentic AI Engineer
 
 
 
 💰 &pound;100,000 to &pound;120,000
 
 
 📍 London based, one office day per week, with some travel to the UAE.
 
 
 
 
 
 
 Company &amp; role
 
 
 
 This role sits with a global IT solutions provider standing up something genuinely different: an autonomous rapid prototyping pod for banking, insurance and fintech clients. A small, elite team that wins its own work, takes an ambiguous client problem, and turns it into a working AI prototype in four to five weeks, then hardens it into production. No layers, no handoffs, no waterfall. Just building.
 
 
 
 
 
 This is the technical brain of that pod. You will design, build and operate production agentic AI systems that reason, use tools, hold state, retrieve knowledge, run multi step workflows and escalate safely to a human when they should. The focus is turning LLM concepts into reliable, observable services with proper failure handling and guardrails, and making them integrate cleanly into enterprise banking environments, because a solution that can't integrate is a dead solution.
 
 
 
 
 
 This is a deeply technical role, not a client facing one. You'll be left alone to build.
 
 
 
 
 
 
 Why This Role Stands Out
 
 
 
 The pod is deliberately built for engineers who want to engineer. It is fully autonomous and protects your time: no L2 tickets, no site reliability duties, no being pulled onto other teams' problems, no meeting culture. You design and build agents, and that's it.
 
 
 
 
 
 The work itself is production agentic AI in a setting where reliability, safety and cost have genuine consequences, with real depth across architecture, orchestration, retrieval, evaluation and observability. You'll help set the patterns for how agents are built and governed here, with a modern stack and GPU inference behind you, and mostly remote working with one office day a week.
 
 
 
 
 
 There is a growing UAE dimension to the business too. Nothing is expected, but if working in or relocating to the UAE would ever appeal, they will back you to do it.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, build and operate production agentic AI systems that reason, use tools, maintain state, retrieve knowledge and escalate safely to humans
 </li>
 <li>
 Own agent architecture, orchestration and decision loops, including multi agent patterns, memory design and multi turn conversation handling
 </li>
 <li>
 Select and integrate LLMs and agent frameworks across Azure OpenAI, Anthropic and open models, balancing latency, cost, quality, data residency and compliance
 </li>
 <li>
 Engineer reliable tool use, including function calling, structured outputs, API wrappers, permissions, retries, timeouts, sandboxing and audit trails
 </li>
 <li>
 Implement retrieval, memory and context patterns including RAG, hybrid search, re ranking, summarisation and context budgeting
 </li>
 <li>
 Mitigate hallucination and handle failure properly, with clear recovery and escalation paths
 </li>
 <li>
 Integrate agents into enterprise systems and client tooling to banking grade requirements
 </li>
 <li>
 Own agent evaluation, safety and observability, including automated evals, golden datasets, red team testing, prompt injection defences, PII controls, tracing and dashboards
 </li>
 <li>
 Optimise performance and commercial viability through token budgeting, prompt caching, model routing, batching and cost monitoring
 </li>
 <li>
 Deploy agents as reliable services using CI and CD, environment separation, secrets management, feature flags, canary releases and rollback
 </li>
 </ul>
 
 
 
 
 
 Ideal Experience
 
 
 
 Essential
 
 <ul>
 <li>
 4 or more years in software, machine learning or production AI engineering, with evidence of shipping reliable services beyond prototypes
 </li>
 <li>
 2 or more years working with LLMs, across prompt and context engineering, structured outputs, function calling, RAG, evaluation and production monitoring
 </li>
 <li>
 Genuine, hands on experience of agent architecture and orchestration you have personally designed or built, not framework assembly
 </li>
 <li>
 Experience with frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen or CrewAI, or comparable custom orchestration
 </li>
 <li>
 Strong Python engineering, including async programming, type hints, validation, API design, test automation and secure, maintainable service architecture
 </li>
 <li>
 A real understanding of enterprise integration, data layers, hallucination mitigation and failure handling
 </li>
 <li>
 Security and governance knowledge covering prompt injection, data exfiltration, PII handling, sandboxing, approvals and audit evidence
 </li>
 </ul>
 
 
 
 
 Desirable
 
 <ul>
 <li>
 Financial services, banking, insurance or fintech experience, or other regulated environments
 </li>
 <li>
 Agent evaluation tooling such as LangSmith or Braintrust, and observability with Application Insights
 </li>
 <li>
 Multimodal agents, and Arabic or UAE localisation
 </li>
 <li>
 On premise or local inference with vLLM or TensorRT LLM, and model routing for cost and performance
 </li>
 </ul>
</div>

Agentic AI Engineer

Annapurna

<div>
 Data &amp; AI Engineer
 
 
 
 Our client is seeking a pragmatic, hands-on Data &amp; AI Engineer to design, build, and operate AI-powered applications and agents that solve real business problems. You'll join our client's team to enhance existing AI solutions, create new AI capabilities that improve workflows and decision-making, and work closely with business stakeholders and engineers to embed domain expertise into robust, production-grade AI systems.
 
 
 
 Key Skills &amp; Experience
 
 
 <ul>
 <li>
 
 Python software development
 
 - Strong, production-level coding skills to build reliable, maintainable AI services.
 </li>
 <li>
 
 End-to-end software delivery
 
 - Experience designing, building, testing, deploying, and operating production-grade systems.
 </li>
 <li>
 
 AI/LLM application development
 
 - Hands-on experience creating AI or LLM-based applications used by real users, not just experimenting with consumer tools.
 </li>
 <li>
 
 AI system lifecycle
 
 - Exposure to prototyping, data preparation, evaluation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 
 AI evaluation and metrics
 
 - Ability to design and run evaluations, and measure model/agent quality, reliability, safety, and business impact.
 </li>
 <li>
 
 Working with multiple model providers
 
 - Understanding of different model families, trade-offs in latency, cost, context limits, and deployment constraints.
 </li>
 <li>
 
 Prompt and agent design
 
 - Experience treating prompts and agent instructions as versioned, testable software artifacts.
 </li>
 <li>
 
 Systems integration
 
 - Integrating AI with APIs, enterprise applications, data platforms, and both structured and unstructured data.
 </li>
 <li>
 
 Advanced AI techniques
 
 - Familiarity with retrieval-augmented generation, tool calling, structured outputs, agent orchestration, and workflow automation.
 </li>
 <li>
 
 Model adaptation foundations
 
 - Understanding when to use prompting, retrieval, fine-tuning, and how to prepare and evaluate data and models for post-training.
 </li>
 <li>
 
 Business and data understanding
 
 - Ability to grasp complex workflows, rules, and processes, and translate them into AI-enabled solutions.
 </li>
 </ul>
</div>

Data & AI Engineer

Explore 691+ Ai engineer in London this September. Find roles across top companies and apply now to boost your career.

691 ai engineer jobs In London

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Data & AI Engineer