machine learning engineer

ai engineer

software engineer

full stack engineer

platform engineer

llm engineer

Ultralytics

<div>
 
 About Ultralytics:
 
 
 
 At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.
 
 
 
 🌎 Location and Legalities
 
 
 
 This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
 
 
 
 🚀 What You'll Do
 
 
 
 As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state-of-the-art computer vision technologies. Key responsibilities include:
 
 
 <ul>
 <li>
 Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini.
 </li>
 <li>
 Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience.
 </li>
 <li>
 Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI, rerankers, and query enrichment.
 </li>
 <li>
 Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search.
 </li>
 <li>
 Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support.
 </li>
 <li>
 Collaborating with our YOLO development team to explore and build innovative multi-modal solutions.
 </li>
 <li>
 Automating deployment and testing processes using CI/CD pipelines with GitHub Actions.
 
 
 </li>
 </ul>
 Your work will directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers.
 
 
 
 🛠️ Skills And Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML).
 </li>
 <li>
 Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch.
 </li>
 <li>
 Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek.
 </li>
 <li>
 Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB.
 </li>
 <li>
 Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization.
 </li>
 <li>
 Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions.
 </li>
 <li>
 A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO11 is a significant plus.
 </li>
 <li>
 Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.
 
 
 </li>
 </ul>
 
 🌟 Cultural Fit - Intensity Required
 
 
 
 Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.
 
 
 
 💶 Compensation And Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary: Highly competitive based on experience.
 </li>
 <li>
 Startup Equity: Participate directly in our company's growth and success.
 </li>
 <li>
 Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.
 </li>
 <li>
 Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
 </li>
 <li>
 Flexible Hours: Tailor your working hours to suit your productivity.
 </li>
 <li>
 Tech: Engage with cutting-edge AI projects and contribute to leading open-source software.
 </li>
 <li>
 Gear: Brand-new Apple MacBook and Apple Display provided.
 </li>
 <li>
 Team: Become part of a supportive and passionate team environment.
 
 
 </li>
 </ul>
 
 What we offer:
 
 
 
 
 Cutting-Edge-next generation AI computer vision technology:
 
 contribute to building cutting edge computer vision AI models based on the YOLO framework.
 
 
 
 Impactful Work:
 
 Shape the future of AI-powered solutions that transform industries.
 
 
 
 Collaborative Culture:
 
 Join a talented and passionate team that values open communication and innovation.
 
 
 
 Ultralytics Handbook
 
 
 
 Comprehensive guide to our company&rsquo;s mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.
 
 
 Link: https://handbook.ultralytics.com/
 
 
 
 Ultralytics is an equal opportunity employer and are committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
 
 
 
</div>

LLM Engineer

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>

Artificial Intelligence Engineer

StaffHost digital

<div>
 
 
 AI Engineer | London (Hybrid &ndash; 2 Days per Week) | Equity Available
 
 
 
 
 
 
 We're partnering with an exceptionally well-funded AI startup that is entering a pivotal stage of growth and innovation. Having successfully secured significant venture backing and built strategic relationships with some of the biggest names in AI, including Anthropic and OpenAI, they're now scaling their engineering team to help shape the next generation of AI-powered products.
 
 
 If you've previously experienced the rapid growth of a startup moving from Seed to Series A or Series A to Series B funding, you'll understand the pace, ownership, and impact that comes with this environment.
 
 
 
 
 
 
 The Opportunity
 
 
 
 As an AI Engineer, you'll play a key role in designing, building, and deploying production-grade AI systems that directly impact thousands of users. You'll work across the full lifecycle, from experimentation and prototyping through to deployment and optimisation, helping turn the latest AI advancements into real-world products.
 
 
 You'll be given the freedom to test new ideas, challenge existing approaches, and contribute to product strategy in a highly collaborative environment where speed and innovation are valued.
 
 
 
 
 
 
 What You'll Be Working On
 
 
 <ul>
 <li>
 Building and deploying AI-powered products and intelligent agent workflows
 </li>
 <li>
 Developing and optimising LLM applications for production environments
 </li>
 <li>
 Designing agentic systems capable of complex reasoning and task execution
 </li>
 <li>
 Experimenting with prompt engineering, context management, evaluation frameworks, and model orchestration
 </li>
 <li>
 Running user experiments and A/B testing to improve model performance and user experience
 </li>
 <li>
 Working closely with Product and Engineering teams to rapidly ship new features
 </li>
 <li>
 Exploring and implementing the latest advancements from OpenAI, Anthropic, and the wider AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Tech Stack &amp; Experience
 
 
 
 Key technologies include:
 
 <ul>
 <li>
 Python
 </li>
 <li>
 TypeScript / JavaScript
 </li>
 <li>
 LangGraph
 </li>
 <li>
 LangChain
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Anthropic APIs
 </li>
 <li>
 Vector Databases
 </li>
 <li>
 RAG Architectures
 </li>
 <li>
 Agentic AI Frameworks
 </li>
 <li>
 LLM Evaluation &amp; Observability Tools
 </li>
 <li>
 React (desirable)
 </li>
 <li>
 Cloud Platforms (AWS, GCP or Azure)
 </li>
 </ul>
 
 
 
 
 
 We're Looking For People Who
 
 
 <ul>
 <li>
 Have 4+ years&rsquo; experience building and deploying AI applications into production
 </li>
 <li>
 Have worked with LLMs, AI agents, RAG systems, or generative AI products
 </li>
 <li>
 Thrive in fast-paced startup environments
 </li>
 <li>
 Enjoy solving complex technical challenges with a product-first mindset
 </li>
 <li>
 Are comfortable working with ambiguity and taking ownership
 </li>
 <li>
 Have experience in a high-growth startup that has scaled through Seed &rarr; Series A or Series A &rarr; Series B funding
 </li>
 <li>
 Are passionate about the future of AI and excited by the pace of innovation in the market
 </li>
 </ul>
 
 
 
 
 
 Thank you for your interest in this opportunity. If your application is successful, we will contact you to discuss the position in more detail within 48 hours of receiving your CV. Please assume your application has been unsuccessful if you do not hear back from us within 48 hours.
 
 
</div>

AI Engineer

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
As our AI practice scales, we are seeking an experienced AI Architect / Engineer to act as the senior technical authority shaping how we design and deliver next-generation AI solutions. This is a role for someone who has moved beyond building individual models to architecting entire systems: agentic platforms, LLM-powered applications, and the production infrastructure that makes them dependable at enterprise scale.
You will sit at the intersection of strategy and delivery, operating across multiple client engagements simultaneously. In the early phases you will shape solutions, validate technical approaches, and translate ambiguous business problems into robust, deployable architectures. As engagements mature, you will provide the technical oversight that keeps delivery teams aligned to the original design intent. Your influence will be felt in pre-sales conversations, solution blueprints, and the technical standards that define how our practice builds.
This is a hands on architectural role, not a purely advisory one. We expect you to remain close to the code, to prototype where it accelerates a decision, and to set a credible technical example for the engineers and data scientists you guide.
Required skills &amp; experience:<ul><li>
Lead end-to-end solution architecture for AI and LLM-based systems, spanning data, integration, infrastructure, and deployment.</li><li>
Design agentic architectures and multi-agent orchestration patterns, defining how LLMs, tools, APIs, and retrieval layers interact reliably.</li><li>
Shape early-stage engagements (scoping, solutioning, estimation, and pre-sales) turning client ambition into deliverable technical plans.</li><li>
Provide technical validation and quality oversight across several concurrent projects, mitigating risk before it reaches delivery.</li><li>
Define LLM integration and prompting strategies, including RAG, fine-tuning, evaluation, and guardrailing approaches.</li><li>
Establish MLOps and LLMOps practices that ensure solutions are observable, testable, and production ready.</li><li>
Set architectural standards, reusable patterns, and reference implementations that raise the quality bar across the practice.</li><li>
Partner with Responsible AI colleagues to embed safety, security, and governance into solution designs from the outset.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments.</li><li>
Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration.</li><li>
Strong cloud engineering experience.</li><li>
Proven MLOps / LLMOps capability &mdash; CI/CD for models, monitoring, evaluation, and cost optimisation.</li><li>
Hands-on software engineering background (Python and modern tooling) underpinning your architectural decisions.</li><li>
Comfort managing multiple engagements at once, with pragmatic judgement on trade-offs and delivery risk.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Experience in consulting, professional services, or pre-sales environments.</li><li>
Exposure to enterprise-scale, regulated AI deployments (financial services, public sector, healthcare).</li><li>
Familiarity with vector databases, knowledge graphs, and advanced retrieval techniques.</li><li>
Relevant cloud or AI certifications.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul> 
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will be a founding technical voice in a practice that is investing decisively in AI. The work is varied, intellectually demanding, and commercially significant, you will shape solutions that reach production, not slideware. You will have the autonomy to define how we build, the support of a collaborative multidisciplinary team, and a clear platform to grow into a practice-leading technical figure.</div>

AI Architect / Engineer (Agentic AI & LLM Architecture)

Elixirr Digital

<div>
 Are you passionate about leveraging AI to transform global industries? Do you have a proven track record of working with LLMs and building agentic solutions?
 
 
 Join
 
 Elixirr
 
 as an
 
 AI Engineer
 
 , where you will drive innovation and help shape the future of intelligent systems for clients across industries like banking, insurance, healthcare, telecommunications, consumer goods, and more. We're looking for proactive self-starters who are constantly reading research, applying it, and using AI to improve their processes, fully embracing the technology.
 
 
 At Elixirr Digital, we&rsquo;ve been on the cutting edge of generative AI from the beginning, developing our own platforms and deploying transformative solutions to global clients for several years. Our expertise spans working with early models like BERT to today&rsquo;s leading foundation and open-source models and leading frameworks like LangChain, AutoGen, Swarm, and Crew.ai to build innovative, agentic solutions. From underwriting agents that empower financial professionals to knowledge agents streamlining customer workflows, our solutions are revolutionising industries by embedding AI at their core.
 
 
 If you&rsquo;re excited to work at the forefront of generative AI, helping enterprises transform from the inside out, we want to hear from you. Let&rsquo;s build the future of AI together!
 
 
 
 What will you be doing as an AI Engineer at Elixirr?
 
 
 
 <ul>
 <li>
 Design &amp; implement solutions: architect, design, and develop advanced AI systems with a focus on LLMs and agentic solutions that transform enterprise workflows.
 </li>
 <li>
 Collaborate: work cross-functional experts to deliver AI-driven innovations and mentor Junior Engineers.
 </li>
 <li>
 Drive innovation: work on a mix of internal R&amp;D projects and enterprise-level solutions, building and optimising tools for both internal and client use.
 </li>
 <li>
 Deploy at scale: develop and maintain production-ready AI solutions, ensuring scalability, performance, and reliability.
 </li>
 <li>
 End-to-end life cycle: own and contribute to the entire AI development life cycle, from research and prototyping to deployment and monitoring.
 </li>
 <li>
 Deliver tangible outcomes: help global enterprises achieve measurable impact through solutions like underwriting agents, airport assistants, pharmacy workflow optimisers, and customer due diligence systems.
 
 
 </li>
 </ul>
 
 Competencies &amp; skillset we expect you to have to successfully perform your job:
 
 
 
 
 
 <ul>
 <li>
 Experience with LLMs: hands-on experience working with LLMs, with demonstrated expertise in building and deploying agentic solutions using frameworks such as LangChain, AutoGen, Crew, or Swarm.
 </li>
 <li>
 Bring technical expertise: solid background in programming and past experience in machine learning, with a deep understanding of at least one area such as deep learning, reinforcement learning, fine-tuning, or model development.
 </li>
 <li>
 Think strategically: ability to design and lead AI solutions while also contributing directly to development. Excellent problem-solving, analytical, and critical thinking skills, with a proficiency in applying mathematical principles to analyse, model, and solve complex problems.
 </li>
 <li>
 Focus on outcomes: passion for transforming businesses and delivering measurable results through AI.
 </li>
 <li>
 Collaborate effectively: experience working in cross-functional teams, balancing R&amp;D and production-level work.
 </li>
 <li>
 Innovation-driven: stay ahead of AI trends, continuously innovate by building and refining tools for internal and client use, and actively apply cutting-edge research to improve processes and develop scalable, impactful solutions.
 
 
 </li>
 </ul>
 
 Bonus points if you have:
 
 
 
 
 
 <ul>
 <li>
 Proven track record of leading AI projects from concept to deployment.
 </li>
 <li>
 Strong understanding of the AI development life cycle, with deep expertise in at least one part of the process.
 </li>
 <li>
 Examples of deployed AI systems demonstrating agentic capabilities.
 
 
 </li>
 </ul>
 
 We Could Be a Perfect Fit If You Are
 
 
 
 <ul>
 <li>
 Passionate about technology. You anticipate, recognise, and resolve technical problems using a variety of specialised tools for application development and support.
 </li>
 <li>
 Independent. You are a self-motivated and ambitious individual, capable of managing multiple responsibilities effectively.
 </li>
 <li>
 Problem-solver. You think creatively and find solutions to complex challenges.
 </li>
 <li>
 Creative &amp; outside-the-box thinker. You look beyond blog posts and whitepapers, competitions, and even state-of-the-art benchmarks to solve real-world problems.
 </li>
 <li>
 Communicator. Strong verbal and written communication skills are essential to ensure effective collaboration and timely delivery of results within the team.
 </li>
 <li>
 Proficient in English. We work across continents in a global environment, so fluent English, both written and spoken is a must.
 
 
 </li>
 </ul>
 
 Why join Elixirr?
 
 
 
 <ul>
 <li>
 Global impact: work with top-tier clients across industries, solving real-world challenges with transformative AI solutions.
 </li>
 <li>
 Cutting-edge innovation: develop and deploy AI tools and platforms that redefine what&rsquo;s possible in enterprise AI.
 </li>
 <li>
 Collaborative culture: join a team of innovators passionate about advancing AI while fostering a collaborative, inclusive environment.
 </li>
 <li>
 Diverse projects: tackle a wide range of AI applications, from NLP to reinforcement learning, for use cases as varied as field support for telecom workers and optimising customer workflows in banks.
 </li>
 </ul>
</div>

Jack & Jill

<div>
 
 This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
 
 
 
 She will pick the best candidates from Jack's network.
 
 
 The next step is to speak to Jack.
 
 
 
 Job Title
 
 
 
 AI Engineer
 
 
 
 Salary
 
 
 
 Not Disclosed
 
 
 
 Company Description
 
 
 
 StackOne is a $24M VC-funded AI Integration Gateway backed by GV and Workday Ventures. They provide builders of SaaS platforms and AI Agents with a unified toolkit to orchestrate hundreds of enterprise-grade integrations, combining a real-time architecture with 25,000 pre-mapped actions across 200 connectors.
 
 
 
 Job Description
 
 
 
 As an AI Engineer at StackOne, you will build the future of agentic integrations by delivering end-to-end AI products. Reporting to the CTO, you'll work with AI researchers to develop specialized LLMs for tool-calling, ensuring precision and reliability in agentic execution while maintaining high-performance inference pipelines and retrieval systems.
 
 
 
 Location
 
 
 
 London, UK
 
 
 
 Why this role is remarkable
 
 
 
 <ul>
 <li>
 Work at the frontier of AI R&amp;D, building specialized LLMs designed for tool-calling and agentic execution rather than just general-purpose applications.
 </li>
 <li>
 Join a high-growth startup backed by elite investors like GV and Workday Ventures, scaling a platform that already powers thousands of integrations.
 </li>
 <li>
 Collaborate with a world-class veteran engineering team from industry leaders like Google, Microsoft, and Coinbase in a culture built on shipping and ownership.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design and deploy full-stack features including inference pipelines, embeddings, and retrieval systems across AWS and Cloudflare.
 </li>
 <li>
 Implement cutting-edge tool-calling and Model Context Protocol (MCP) patterns to enable one-click agent integrations with any tool.
 </li>
 <li>
 Develop and maintain high-quality open-source and internal TypeScript and Python packages to accelerate the developer ecosystem.
 
 
 </li>
 </ul>
 
 The ideal candidate
 
 
 
 <ul>
 <li>
 Professional experience shipping production-grade applications using Generative AI and LLMs like GPT or Anthropic.
 </li>
 <li>
 Expert proficiency in TypeScript and Python with a proven track record of building scalable systems on AWS, GCP, or Cloudflare.
 </li>
 <li>
 Strong background in full-stack engineering with experience publishing SDKs, CLIs, or complex packages in a fast-paced environment.
 
 
 </li>
 </ul>
 
 Who are Jack &amp; Jill?
 
 
 
 Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
 
 
 And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
 
 
 
 How does this work?
 
 
 
 <ul>
 <li>
 Jack's an AI agent for job searching and career coaching. He works for you.
 </li>
 <li>
 Jill is the AI recruiter working for the company. She recruits from Jack's network.
 </li>
 <li>
 If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
 
 
 </li>
 </ul>
 
 We never post fake jobs
 
 
 
 This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
 
 
 Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
 
 
 We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
 
 
 Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
 
 
</div>

AI Engineer at StackOne

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>

Explore 351+ Llm engineer in London this July. Find roles across top companies and apply now to boost your career.

351 llm engineer jobs In London

LLM Engineer

Artificial Intelligence Engineer

AI Engineer

AI Architect / Engineer (Agentic AI & LLM Architecture)

AI Engineer

AI Engineer at StackOne

Artificial Intelligence Engineer