HELLO,
LONDON

AI Research Engineer – ContractLocation: London – 3 days onsiteContract: 6 months (extensions possible)Start: ASAPOverviewLeading tech company hiring a Research Engineer to work on LLM agents and machine learning systems within an AI research team.Key ResponsibilitiesBuild and optimise machine learning models and LLM-based agentsDesign experiments, tools, and infrastructure for large-scale AI systemsWrite production-quality Python code alongside researchers and engineersTranslate research into practical, scalable solutionsSkills & Experience8 years’ experience in software engineering / machine learningStrong Python and PyTorch experienceExperience with LLMs, generative AI, or large-scale ML systemsAbility to work at pace in a research-driven environmentQualificationsDegree in Computer Science, Machine Learning, or related fieldAdvanced degree (PhD/Master’s) in ML, Maths, or Physics is a plus

Job Title: ML Tech Lead – Multimodal AILocation: London / Remote Europe ConsideredCompensation: Competitive Base Salary Bonus Travel AllowanceAbout the RoleWe are seeking a hands-on ML Tech Lead to build and lead a brand-new team in a recently created, well-funded AI initiative. You’ll be responsible for shaping the direction of a cutting-edge platform for AI-driven video search and discovery, combining audio, video, and text data. This is a high-visibility role with the chance to impact creative teams and artists globally.Key ResponsibilitiesLead a multidisciplinary team of backend, frontend, and AI engineersArchitect and develop a multimodal AI search platform (video, audio, text)Design and build scalable content ingestion, indexing, and retrieval systemsIntegrate ML models into production search infrastructure (vector search, Elasticsearch/OpenSearch)Mentor engineers and foster a high-impact, collaborative team environmentDeliver robust, production-ready systems on modern cloud infrastructureWhat We’re Looking ForStrong experience in machine learning, especially multimodal modelsHands-on technical expertise in building large-scale search or recommendation systemsProficiency in cloud-based architectures and scalable production systemsLeadership experience: building, mentoring, and guiding engineering teamsPassion for music, media, or creative technology is a plusWhy This Role is ExcitingLead a newly created, high-impact initiative within a global entertainment leaderWork with massive audiovisual datasets and state-of-the-art AI technologyShape tools that directly support artists, creative teams, and content discoveryBe part of a well-funded, forward-thinking AI lab with long-term growth opportunities

Lead AI Engineer Location: United Kingdom, Remote or Hybrid Salary: Competitive, dependent on experience About the Company An established global technology platform specialising in digital publishing and print infrastructure is launching a new AI venture focused on transforming how printed content is created. The company is building an AI powered design editor that allows users to generate fully customised, print ready designs directly from natural language prompts. Instead of relying on templates, the platform generates original layouts, graphics, and structured outputs automatically. This is a newly formed AI venture backed by an existing global platform, offering the opportunity to build a product from the ground up while benefiting from the support and infrastructure of an established organisation. The Role The company is now hiring a Lead AI Engineer to design and build the backend systems that power the AI workflows behind the product. This role sits at the intersection of backend engineering and applied AI. You will be responsible for architecting scalable AI systems that translate user prompts into structured, production ready design outputs. You will work closely with product and engineering teams to develop the core AI infrastructure, ensuring the system is reliable, scalable, and capable of supporting high traffic production workloads. Key Responsibilities Design and build backend systems supporting AI driven design generation Develop and maintain LLM pipelines and agent based AI workflows Architect scalable APIs and services using Python frameworks Build infrastructure that supports high volume AI inference and real time workloads Collaborate with product teams to translate user prompts into structured outputs and workflows Ensure reliability, observability, and performance across AI systems Contribute to the technical direction of a new AI product from its earliest stages Required Experience Strong experience building production backend systems using Python Experience working with FastAPI, Pydantic, or similar modern Python frameworks Hands on experience building or deploying LLM based systems Experience with agent architectures, RAG systems, or LLM pipelines Strong understanding of scalable system design and distributed infrastructure Experience deploying machine learning or AI systems into production environments Desirable Experience Experience with generative AI systems or content generation workflows Experience with containerisation and cloud infrastructure Previous experience in startup or early stage product environments Why Join Opportunity to help build a new AI product from the ground up Backed by an established global technology platform Work on cutting edge generative AI systems applied to real world creative workflows Small, highly technical team with significant ownership and impact

AI Product Manager - GenAII’m currently working with an AI native company that recently raised €3M and is building a series of vertical AI agents designed to automate real operational workflows across multiple industries.They already have a strong engineering team and are now looking for a Product Manager who can sit very close to engineering and help drive the pace of building and shipping AI products.This is not a traditional roadmap focused PM role. The person coming in will be heavily involved in hands on product development around AI agents, working with engineers on prompting, prototyping, defining agent behaviour, and helping run evaluation workflows to improve model performance.They are looking for someone comfortable operating in an early stage AI environment, where product ideas move quickly from concept to prototype to shipped product. The PM will also spend time speaking with customers to understand workflows and help design how these AI agents can solve real operational problems.The company operates more like an AI lab, identifying opportunities for automation, building AI agents around them, and then taking the successful products to market.If you are currently building AI driven products or exploring agent based systems, it could be a genuinely interesting conversation.