with regular in-office collaboration. Salary: £60,000 - £75,000 The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents, and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on … closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery. What You’ll Be Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and system behaviour … of software engineering experience, with strong ML or backend focus Proficiency in Python and/or TypeScript, and experience with production-grade systems Familiarity with LLMs, AIagents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp of data modelling, cloud infrastructure (preferably AWS), and modern APIs Experience with relational and NoSQL databases (e.g. PostgreSQL, MongoDB) Problem More ❯
A major organisation is seeking a highly skilled AI Specialist - Automation & Integration to develop innovative solutions across business operations. This role is ideal for someone with a strong background and passion for using AI to streamline workflows, boost efficiency, and deliver measurable impact through advanced automation. Key Responsibilities: Design and deploy AI-powered solutions … internal AI assistants with trusted business knowledge. Rapidly prototype and iterate on Proofs of Concept to test ideas and gather user feedback early. Use AIagents to automate repetitive, rule-based tasks across internal systems. Monitor the performance of deployed models, ensuring they align with business goals and deliver clear ROI. Document workflows and share … feedback. Preferred Skills: Background in deploying AI/ML models to production (MLOps). Experience using cloud platforms such as Azure. Interest or experience in building autonomous agents or internal AI assistants. Why Join? Competitive salary, pension and attractive benefits package. Work on cutting-edge AI projects that have immediate business impact. A More ❯
Full-Stack Product Engineer – Shipping the Future of AI in Finance - Remote (if preferred) Location: Office in London; open to remote with … occasional travel. Type: Full-time Compensation: £70k-£130k + meaningful equity Reach: Trusted by 40% of the world’s top 50 financial firms We’re building AIagents to solve the hardest knowledge problems in finance. We’ve recently been named one of the Top 25 FinTech AI Companies of 2025 by The Financial Technology … Report, just days after landing on CB Insights' AI 100 list for 2025. We’re also backed by some of the best investors in the world, including Sequoia and Neotribe Ventures. Our mission is simple: eliminate the hours financial professionals waste on repetitive, manual analysis—so they can focus on what really matters. We're building advanced, domain More ❯
Reimagine enterprise data and content operations at massive scale! As the Principal Data and AI Engineer at Flexera, you will drive technical innovation and lead a talented team focused on the ingestion, curation, and organization of the world's IT assets. Your mission: transform vast amounts of semi-structured data into trusted insights, empowering customers to manage and … optimize their IT landscapes—including hardware, software, SaaS, cloud, containers, AI services, and more. Key Responsibilities: Strategic Ownership Define and evolve the long-term strategy for data and content operations at scale. Balance current realities with an ambitious roadmap toward future innovation. Lead automation efforts in data normalization, enrichment, and quality assurance using AI/ML … system design in distributed environments. Experience working in Agile environments with cross-functional teams. Proficiency in workflow optimization through tooling, process, automation, and AI augmentation (including AgenticAI). Domain knowledge in IT Asset Management, FinOps, or vulnerability intelligence is a plus. Personal Attributes Clear communicator: Crisp, honest, and transparent communication style. Data-driven mindset: Always More ❯
