AI Engineer at Indicium AI | London

About Indicium AI Indicium AI is a premier global consultancy specializing in AI solutions for the world's leading enterprises. With a proven track record across various sectors including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing, we provide unmatched clarity, speed, and capability in delivering AI at…

About Indicium AIIndicium AI is a trusted partner for leading enterprises, dedicated to delivering AI solutions at scale. As a global AI-native consultancy, we possess extensive expertise across various industries, including Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. Our comprehensive approach—from strategy to implementation—ensures that we unlock substantial value from AI with exceptional clarity and speed. With over 600 AI specialists serving more than 50 enterprise clients from 5 global locations, we collaborate closely with top partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft to deliver modern AI solutions that yield measurable results.The OpportunityWe are on the lookout for a dynamic and experienced Client Director / Sales Director who excels in selling professional and consulting services to large enterprise customers. This pivotal role will be instrumental in driving Indicium AI's growth by acquiring new clients, expanding existing accounts, and fostering long-term relationships with C-suite executives.As a senior, consultative sales leader, you will manage the complete sales lifecycle, collaborating closely with our consulting, delivery, and partner teams to ensure that Indicium AI consistently delivers significant business value to our clients.This position is ideal for someone with extensive cross-sector enterprise experience who is adept at navigating complex buying landscapes and promoting outcome-driven consulting engagements.

About Indicium AIIndicium AI stands out as Anthropic's pioneering European launch partner and is one of the few organizations worldwide entrusted by Anthropic to implement Claude at an enterprise scale. Additionally, we are among the first four OpenAI partners in the UK, backed by Databricks Ventures, which also has a seat on our board. Our engineers are equipped with cutting-edge AI tools and models, access to partner technical teams, and early previews of capabilities that are not available to the wider market.We specialize in deploying AI systems in the world's most intricate organizations across sectors such as Financial Services, Energy, and Healthcare. Our mission is to transform AI into a true competitive advantage for our clients, delivering tangible results in production.The RoleThis is a pivotal technical leadership position within our Forward Deployed AI Engineering practice. Reporting directly to the CTO, you will lead a team of Forward Deployed AI Engineers who collaborate closely with our most strategic clients to deliver production-ready AI systems that address real business challenges.You will be responsible for our market presence, ensuring high-quality engagements and developing scalable patterns and playbooks for the practice. This entails overseeing hands-on technical delivery in enterprise environments, shaping architecture for complex projects, enhancing vertical fluency within the team, and collaborating with Sales to cultivate the pipeline. The role is both managerial and technical: your primary influence will stem from the talent you recruit, the standards you establish, and the culture you foster, while remaining actively involved in the work by reviewing architectures, resolving production issues, and collaborating with your team when necessary.You will engage directly with clients at the highest levels, collaborate with Anthropic teams, and work alongside Indicium AI leadership to steer the direction of our AI engineering practice. The most effective leaders in Forward Deployed roles go beyond managing a team; they define excellence and construct the organization that consistently delivers it.

At Coram AI, we are revolutionizing video security in today's digital landscape. Our innovative cloud-native platform leverages cutting-edge computer vision and artificial intelligence to empower businesses with enhanced safety, informed decision-making, and rapid response capabilities. Experience real-time alerts, effortless clip sharing, and comprehensive visibility across multiple sites.Joining our dynamic, agile team means embracing clarity, excellence, and impactful contributions. Every team member has a voice, delivers significant work, and plays a vital role in shaping how AI can foster a safer and more interconnected world.In this role, you will be part of a pioneering team responsible for managing a sophisticated infrastructure that transcends conventional cloud setups. Beyond our robust AWS and Kubernetes configurations, we also oversee a vast array of IoT devices. We are in search of a skilled engineer who will play a crucial role in developing and maintaining our edge and cloud stack that supports our IoT product offerings, focusing on both infrastructure and the bespoke software we utilize.You will tackle intriguing challenges at the confluence of user experience, machine learning, and infrastructure, while committing to excellence, continuous learning, and delivering exceptional products in a fast-paced startup environment.

Join StackOne:At StackOne, we are pioneering the future of SaaS and AI integrations. Supported by GV and Workday Ventures with $24M in funding, we empower developers of SaaS platforms and AI Agents to seamlessly integrate with a multitude of tools, enhancing functionality with scalable and precise solutions. Our platform boasts 25,000 pre-mapped actions across 200 connectors, alongside an AI-driven integration development toolkit that emphasizes security: featuring real-time architecture, managed authentication, and comprehensive observability.Join us on our ambitious journey towards revolutionizing agentic integrations.With an AI-native integration toolkit that ensures real-time execution and robust security measures, we are heavily investing in AI R&D. Our new lab focuses on developing specialized LLMs that excel in precision, reliability, and safety - crucial components for effective agentic execution.Your Role:As an AI Engineer, you will play a pivotal role in enabling users to integrate their preferred tools effortlessly with just one click, thanks to StackOne's innovative solutions.We seek a skilled Software Engineer with a solid foundation in AI production-grade applications, particularly with experience in working with LLMs (e.g., GPT, Anthropic, etc.).In this position, you will be responsible for delivering AI features and products throughout their lifecycle, collaborating closely with our dedicated AI team, which includes both AI researchers and engineers. You will report directly to the CTO.

Join Edra as an AI EngineerAt Edra, we are tackling one of the most challenging issues in enterprise AI: the mismatch between generic AI models and specific company processes. We are developing AI agents that learn to navigate and execute processes as they truly operate.As a Series A startup, supported by Sequoia and other notable venture capital firms, we are expanding our teams in New York and London. Our workforce is composed of exceptionally skilled engineers, AI researchers, and strategists who believe that outstanding talent is the cornerstone of our success.Your RoleYou will be instrumental in creating a learning system that equips AI agents with the knowledge of how enterprises function. This system will assimilate knowledge bases, dialogues, tickets, and system logs, generating written directives that agents can confidently execute, including a scoring mechanism to determine when to automate tasks or request human intervention.We seek AI Engineers with a track record of building intricate, production-ready LLM-based systems. If you've scaled LLM workflows to manage millions of requests, developed multi-agent systems in live environments, or created evaluation frameworks for enterprise applications, we want you. Your contributions will directly impact our core learning library, and you will ship features that serve actual enterprise customers while enhancing the platform. This role covers continuous learning systems, agentic features, human-in-the-loop feedback mechanisms, and orchestration of AI agents.Your ResponsibilitiesContribute to our core context learning library by implementing new learning capabilities and generalizing them for broader platform use.Design and execute LLM-powered systems and workflows from initial concept to production.Collaborate with enterprise customers to identify issues, prototype solutions, and bring them to production.Develop agentic features for knowledge management, enabling agents to autonomously edit, update, and maintain extensive knowledge bases.Establish reliability and confidence systems, including evaluation frameworks and logic for determining when to automate versus when to escalate to human oversight.Architect asynchronous, scalable systems for complex AI orchestration.Influence the direction of our AI strategy and product capabilities.

About WexlerWexler is at the forefront of developing a revolutionary AI system tailored for litigation. We collaborate with some of the largest law firms globally, assisting them in navigating their most intricate legal battles, uncovering winning strategies, and transforming the overwhelming influx of documents and facts into actionable insights. Located in London, Wexler is a rapidly expanding legal AI company trusted by renowned firms such as Clifford Chance, HSFKramer, Goodwin, and Addleshaw Goddard to pinpoint crucial facts that can sway case outcomes.Backed by a $5.3M Seed round from Pear VC, Seedcamp, The LegalTechFund, and a host of esteemed industry angels, we are developing a comprehensive AI platform aimed at managing, resolving, and preventing legal disputes for Enterprise law firms and Fortune 500 companies. Our growth trajectory is remarkable, boasting a 10x year-over-year increase and onboarding more distinguished firms each month. Our innovative system efficiently extracts and cross-references facts from millions of documents, empowering litigators to secure more victories while significantly reducing the time spent on case preparation. Ultimately, we ensure that every client receives the legal representation they rightfully deserve.As AI reshapes the legal landscape, most existing tools have concentrated on contract law or serve as generic copilots across various legal tasks. In contrast, Wexler stands out as the premier generative AI platform meticulously designed for the intricacies of litigation, evidenced by our rapid growth and industry acceptance.About the RoleWe are in search of a talented AI Engineer to help redefine the future of legal practice. You will play a crucial role in building autonomous systems that analyze vast amounts of documents to extract pivotal factual information essential for winning legal cases. As an integral member of our team, you will have direct influence over our AI strategy, leveraging cutting-edge technology to address the real challenges faced by elite litigators.

Join Distyl AIAt Distyl AI, we are revolutionizing the landscape of applied artificial intelligence. As a pioneering technology company, we collaborate with leading institutions across sectors such as telecommunications, healthcare, insurance, manufacturing, and consumer goods. Our mission is to redefine operational processes through innovative AI-driven solutions.Our extensive research and deployment initiatives focus on creating AI-native systems that enhance efficiency and effectiveness. Our groundbreaking technologies support massive operational frameworks, impacting millions of consumer interactions and vital workflows globally.With backing from top-tier investors including Lightspeed Venture Partners and Khosla Ventures, Distyl AI boasts a remarkable track record of 100% success in production deployments, making us one of the few profitable enterprises in the AI domain.Your RoleWe are excited to announce the opening of our London office and are in search of talented AI Engineers to architect and implement production-grade AI systems harnessing the power of Large Language Models (LLMs).As an AI Engineer, you will collaborate with Fortune 500 clients to streamline intricate workflows using state-of-the-art AI technologies. You will design and launch AI applications that operate on a large scale in critical environments, from intelligent agents to comprehensive AI solutions.This position is highly hands-on, requiring close collaboration with clients to define system architectures and develop reliable, impactful AI systems from initial prototypes to full-scale production. You will also play a pivotal role in shaping technical strategies across key customer projects, guiding enterprise teams through the intricacies of AI adoption.

About Indicium AIIndicium AI proudly stands as Anthropic’s inaugural European launch partner, recognized globally among a select few organizations trusted by Anthropic to deploy Claude at an enterprise scale. We also hold the distinction of being one of the first four OpenAI partners in the UK, bolstered by investment from Databricks Ventures, which also has a seat on our board. Our engineering teams are equipped with cutting-edge AI tools, models, and exclusive previews of capabilities that remain inaccessible to the broader market.Our mission is to integrate production AI systems within the world’s most complex organizations across sectors such as Financial Services, Energy, and Healthcare. We are dedicated to translating AI into a true competitive advantage for our clients, not merely through presentations but in actual production environments.We are deeply committed to our team’s development. Every Forward Deployed Engineer at Indicium AI gains access to Anthropic training and a flexible learning budget. Our staff are provided with Claude licenses for Chat, CoWork, and Claude Code, empowering them to thrive at the forefront of technology.The RoleAI is revolutionizing not just the capabilities of software but the methodologies of software development itself. Leading engineering organizations are restructuring their operational models around AI-native development: Claude Code integrated into every workflow, agents throughout the Software Development Life Cycle (SDLC), and a fundamentally transformed relationship between engineers and their tools. While most enterprises acknowledge the importance of this shift, few understand how to effectively implement it.The Forward Deployed Software Engineer at Indicium AI works in close collaboration with client engineering teams to redefine their software development processes. You will observe team dynamics, identify unspoken challenges, and implement changes that bring AI-native engineering to life in their daily workflows and production pipelines.This position is ideal for an experienced software engineer who is enthusiastic about the transformative impact of AI on software craftsmanship. You will assist organizations in reimagining their engineering capabilities—from the utilization of Claude Code and agentic tools to team structures, code reviews, testing, and deployment. Moreover, you will co-engineer alongside their teams to seamlessly integrate these innovative practices into their product engineering workflows.You will spearhead engagements with some of the most intricate organizations in the UK, influencing technical and commercial outcomes while collaborating with engineering leaders who have developed complex systems and maintain high standards.

Join Lendable’s MissionLendable is dedicated to revolutionizing the credit landscape by creating cutting-edge technology that empowers individuals to access credit and save money effectively. As one of the UK’s newest unicorns, we are rapidly establishing ourselves among the fastest-growing fintech companies.With a dynamic team of over 700 professionals, we have been profitable since 2017 and are supported by esteemed investors including Balderton Capital and Goldman Sachs. Our customer satisfaction speaks volumes, boasting a remarkable rating of 4.9 from tens of thousands of reviews on Trustpilot.Having successfully reconstructed the Big Three consumer finance products—loans, credit cards, and car finance—we are committed to providing our customers with quick access to funds. Our vision extends to expanding into major markets like the UK and US, targeting outdated banking systems and improving user experiences.Why You Should Join UsOwnership: Take charge from day one and influence Lendable’s trajectory.Exceptional Teams: Collaborate with a small group of innovative individuals dedicated to solving complex challenges and improving existing solutions.In-House Technology: Develop top-tier technology using machine learning and AI to optimize processes and enhance efficiency.Role OverviewWe are in search of a hands-on AI Engineer to bolster our Internal Automation team. Your role will focus on enhancing the efficiency of various internal teams, including Finance, Compliance, Product, and QA, through the development of AI-driven tools and automated workflows. Working within a compact team of four engineers and one project manager, you will play a vital role in streamlining operations, minimizing friction, and allowing colleagues to devote more time to high-priority tasks.

Established in 2018, Causaly is at the forefront of transforming enterprise-level scientific research through its innovative AI platform. Our technology empowers researchers to efficiently discover, visualize, and interpret extensive biomedical knowledge while automating essential research workflows, thereby hastening the development of solutions for critical health challenges.We collaborate with some of the largest biopharma companies and prestigious institutions, addressing diverse use cases that encompass Drug Discovery, Safety, and Competitive Intelligence. To learn more about how we enhance knowledge acquisition and decision-making processes, visit our blog: Blog - Causaly.We are proudly supported by renowned venture capital firms including ICONIQ, Index Ventures, Pentech, and Marathon.About the TeamWe are seeking talented AI Engineers to join our mission of revolutionizing research outcomes in biomedical sciences. Our team leverages generative AI and intelligent agents to assist scientists in uncovering novel insights and connections from biomedical literature and datasets.Enhancing the research experience is more than just adopting the latest LLM model; it requires building trust with our users through the integration of effective guardrails, rigorous biomedical curation, consistent update cycles, and robust deployment practices. This approach ensures that our platform serves as a comprehensive resource for researchers.We are in search of AI Engineers who are passionate about applying AI to transform how biomedical professionals conduct their research and daily inquiries.Your Responsibilities· Design and implement end-to-end ML/AI solutions, from conceptualization and data exploration to deployment and monitoring, striking a balance between cutting-edge techniques and practical application to deliver tangible results.· Employ strong software engineering principles such as modularity, testing, code reviews, CI/CD, and observability to ensure AI systems are dependable, maintainable, production-ready, and adaptable to future advancements.· Evaluate various approaches including classical ML, NLP techniques, LLM-based solutions, and agentic solutions to determine the best fit for the problem at hand, considering trade-offs related to speed, cost, complexity, interpretability, and performance.· Collaborate closely with product, design, and engineering teams to define project scope, align on success metrics, and iteratively enhance user-facing features powered by AI.

Who We AreAt The Economist Group (TEG), we are dedicated to fostering progress and innovation across various sectors. Our commitment to independence and analytical rigor unites our diverse team, empowering individuals and organizations to address pressing global challenges. Through our four primary businesses—The Economist, Economist Impact, Economist Intelligence, and Economist Education—we provide world-class insights and analysis to clients and subscribers in 170 countries.As a global media and information services organization, we are passionate about equipping our audience with the knowledge and perspectives necessary to navigate change and facilitate growth.This full-time position is situated at the heart of our newly established AI Lab, a focused team investigating the transformative potential of generative AI in enhancing Economist journalism. In this role, you will concentrate on developing and optimizing LLM-powered systems, emphasizing editorial tone, style transfer, retrieval workflows, and multimodal generation, particularly in audio formats.Your work will directly impact how millions of readers engage with our journalism as you bring innovative ideas to fruition. If you thrive in a design-centric environment, enjoy rapid iteration, and are eager to create unique interactions across text, voice, and visuals, we encourage you to apply. You will collaborate closely with the Tech Lead, Design Lead, and Product Lead as one of the first three engineers in this dedicated lab.

At Swap, we are revolutionizing the landscape of agentic commerce with our cutting-edge AI-native platform that seamlessly integrates backend operations with innovative storefront experiences.Designed for brands aiming to sell anything, anywhere, Swap centralizes global operations and enhances intelligent workflows, enabling margin-protecting decisions through real-time data insights. Our diverse product offerings encompass cross-border transactions, tax solutions, returns management, demand planning, and a next-generation storefront that equips merchants with full transparency and confidence.We are committed to fostering a culture that prioritizes clarity, creativity, and shared ownership as we redefine the future of global commerce.About the RoleWe are on the lookout for a dynamic Lead AI Engineer to spearhead the development of scalable conversational and autonomous AI agents within the e-commerce sector. In this pivotal role, you will be responsible for the architecture and technical direction of our agent platform, creating production-ready systems capable of managing high-volume agent workloads using modern JavaScript and Python frameworks. As a key member of the team, you will set engineering standards, shape platform architecture, and mentor fellow engineers while collaborating closely with product and design teams to bring intelligent agent experiences to fruition.

About WRITER WRITER builds AI technology for some of the world’s largest enterprises, helping them unlock new ways of working. Companies like Mars, Marriott, Uber, and Vanguard use WRITER’s platform to create and deploy AI agents tailored to their own data and needs. With a valuation of $1.9 billion and support from investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is recognized as a leader in enterprise generative AI. Founded in 2020, WRITER has offices in San Francisco, New York City, Austin, Chicago, and London. The team values ambition and innovation, working together to shape the future of AI-powered work. Role Overview: AI Deployment Engineer The AI Deployment Engineer will join WRITER’s London office in a hybrid capacity. This role combines technical expertise with strategic client engagement. The engineer will work directly with enterprise customers to understand their business challenges and design AI solutions using WRITER’s platform and large language models. Responsibilities include translating complex client requirements into practical applications, collaborating with IT and business teams, and helping clients achieve measurable results. The role also involves supporting customer success and influencing the evolution of WRITER’s products. Key Responsibilities Partner with enterprise clients to identify business needs and challenges Design and implement AI-powered solutions using WRITER’s platform and LLMs Translate requirements into effective, real-world applications Work closely with both IT and business stakeholders Support clients in adopting and championing AI within their organizations Contribute feedback to help shape the future direction of WRITER’s products Location This is a hybrid position based in London, UK.

AI Engineer - Forward Deployed Engineer (All Levels) Req ID: CSQ426R186 Our Mission The AI Forward Deployed Engineering (AI FDE) team at Databricks is a specialized, customer-centric group focused on delivering exceptional AI solutions. We engage with our clients to develop and implement innovative AI applications that are cutting-edge and tailored to their unique needs. Our collaborative environment allows us to work closely with engineering, product management, and developer relations, as well as support our internal subject matter experts. We seek passionate individuals who thrive on customer interaction, teamwork, and a desire to stay ahead of the latest trends in Generative AI, LLMOps, and machine learning. Your Impact Design and develop groundbreaking Generative AI solutions utilizing the latest advancements from our Mosaic AI research to address client challenges. Lead the deployment of consumer-facing and internal Generative AI applications into production. Act as a trusted technical consultant to clients across various industries. Represent Databricks as a thought leader at industry events such as the Data + AI Summit. Work collaboratively with product and engineering teams to shape strategic priorities and influence the product roadmap. What We Value in You Proven experience in developing Generative AI applications, including retrieval-augmented generation (RAG), multi-agent systems, Text2SQL, and fine-tuning, with tools such as HuggingFace, LangChain, and DSPy. Strong background in deploying production-grade Generative AI applications, including evaluation and optimization techniques. Several years of hands-on experience in data science, utilizing common tools such as pandas, scikit-learn, and PyTorch. Experience in building scalable machine learning deployments on cloud platforms like AWS, Azure, or GCP. A graduate degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. Ability to communicate and teach technical concepts effectively to both technical and non-technical audiences. A genuine passion for collaboration, continuous learning, and leveraging AI to drive business success. [Preferred] Familiarity with the Databricks Intelligence Platform and Apache Spark™ for processing large-scale distributed datasets.

Role Overview airapps is hiring an AI/ML Engineer for its London Metropolitan Area team. This position focuses on designing, building, and deploying advanced artificial intelligence and machine learning models that support and improve core products. What You Will Do Work closely with colleagues from various disciplines to deliver AI-driven solutions Develop and implement machine learning algorithms tailored to business needs Contribute technical expertise to strengthen and expand product features Location This role is based in the London Metropolitan Area.

Join Slingshot AI as an Engineering ManagerAt Slingshot AI, we are pioneering mental health solutions with our innovative AI, Ash. Our goal is to enhance accessibility to mental health support, empowering individuals to transform their lives.We are cultivating a high-performing team that values autonomy, flexibility, and the right support to excel in their roles. We believe in ambitious visions, rapid iterations, and a profound commitment to our mission. If you identify with these values, we invite you to apply.Our team comprises experts in machine learning, product development, engineering, conversational design, clinical support, growth, and operations, with offices in New York City and London.As a well-funded Series A startup, we have successfully secured $93M in investments from renowned firms, including Andreessen Horowitz, Radical Ventures, and Forerunner Ventures, alongside some of the most respected names in tech.Your RoleAs the Engineering Manager, you will oversee a product-oriented engineering squad dedicated to the continuous development of Ash. You will collaborate within a cross-functional team encompassing Product, Design, and Engineering, working closely with our Product Manager, Kieran Davies, to navigate ideas, define strategic directions, and convert ambiguity into actionable plans.We seek an approachable leader who earns the respect of engineers and fosters an environment that encourages exceptional work. Your focus will be on strategic decision-making regarding product development while maintaining hands-on involvement in our applications, prototypes, and infrastructure. This position is ideal for someone who enjoys a balance between leadership and technical contribution, prioritizing context over control, and values a cohesive, high-performance team.In this managerial capacity, you will promote clarity, stimulate constructive discussions, and assist engineers in adjusting to shifting priorities. Embracing change as a pathway to progress, you will view setbacks as opportunities for growth.

About UsAt Tracer, we are pioneering the development of autonomous AI agents designed specifically for production data pipelines. As an early-stage, venture-backed startup, we are supported by seasoned professionals and investors who foresee AI's transformative impact on enterprise software over the coming decade. Our tight-knit team is comprised of senior experts who are keenly focused on execution and innovation. About the RoleWe are seeking a Lead AI Software Engineer to join our London team, responsible for creating and managing the core systems that convert production alerts into actionable root cause analyses (RCAs) and corrective suggestions. While the agent handles the heavy lifting, you will ensure that human oversight remains integral to production decisions.In this role, you will serve as the primary technical authority for our systems, collaborating closely with the founders and engaging in hands-on development. You’ll Love Our Tech StackPython + LangGraph (for multi-agentic alert investigation)Rust (to ensure speed and correctness)ClickHouse (to manage high-volume events and investigation histories)AWS + Terraform (for self-building infrastructure)Next.js + TypeScript (for dynamic front-end experiences) What You’ll DoIn this pivotal role, you will oversee the systems that transform alerts into thorough investigations and RCAs. Your responsibilities will include:Designing and building the core alert, investigation, and RCA pipeline using PythonCrafting and implementing essential systems, such as:Alert ingestion and normalizationContext enrichment and correlationProblem framing outputsHypothesis orchestration engineInvestigation execution runtimeInvestigation artifacts and reportingLeading crucial architectural decisions to ensure the system is observable, auditable, and reliable from day oneCollaborating with founders to effectively deploy a select few high-value alert types before gradually expanding our capabilitiesDeveloping customer-ready integrations throughout the pipeline

About LendableLendable is dedicated to creating cutting-edge technology that empowers individuals to secure credit and save money effectively. As one of the UK’s newest unicorns, our dynamic team of over 700 is driving growth in the fintech sector:Recognized as one of the fastest-growing tech companies in the UK.Achieved profitability since 2017.Supported by prominent investors, including Balderton Capital and Goldman Sachs.Highly rated by customers, boasting an impressive 4.9 rating across thousands of reviews on Trustpilot.To date, we have reimagined three major consumer finance products: loans, credit cards, and car finance. Our commitment is to deliver funds to our customers within minutes, rather than days.As we expand, we are targeting the two largest Western markets (the UK and US), where vast amounts of financial products are still managed by traditional banks with outdated systems and cumbersome processes.Join Us If You Want ToTake ownership of a broad scope of responsibilities, making impactful decisions that shape the future of Lendable from day one.Collaborate with a small team of exceptional individuals who are resourceful and innovative in solving problems and challenging the status quo.Develop top-tier technology in-house, utilizing new data sources, machine learning, and AI to automate and optimize processes.About the RoleWe are seeking a proactive AI Engineer to join our Internal Automation team at Lendable, aimed at enhancing operational efficiency across the organization.Your mission will be to empower internal teams—from Finance and Compliance to Product and QA—by creating AI-driven tools, integrations, and automated workflows. You will work closely with a compact team (4 engineers, 1 PM) focused on reducing friction, automating monotonous tasks, and allowing colleagues to dedicate more time to high-value activities.

About the Role ifs1 is hiring an AI Engineer in London. This role focuses on building and improving projects that use artificial intelligence to solve real problems. The team values curiosity and a drive to make technology work in practical ways. What You'll Do Develop and refine AI-driven solutions for a range of projects Work closely with colleagues to turn ideas into working products Contribute technical insight and creativity to the team’s efforts Who We’re Looking For Experience or strong interest in artificial intelligence Motivation to learn and experiment with new technologies Desire to see AI make a real impact in the world This position is based in London.