4 jobs found

Machine Learning Engineer An AI-driven start-up, backed by $20M in Series A funding, is looking for its first Machine Learning Engineer to help scale their product and infrastructure. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market. This is a unique opportunity to join early, influence the technical roadmap, and work directly with experienced founders and a senior engineering team. What you'll be doing: Designing, building and deploying ML-powered features across a production platform Working across Python and TypeScript, integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we're looking for: Strong commercial experience building and deploying ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start-ups: product-minded, hands-on, and motivated by impact What's on offer: £100,000 - £120,000 salary + meaningful equity 4 days/week in a modern London office near Liverpool St Greenfield ML ownership with direct access to founding team A chance to shape the future of an AI product already loved by users

Founding AI Engineer Location : London (Hybrid / Flexible) Salary : Competitive DOE + Bonus + Equity Company Overview We are working with an early-stage technology company building AI-native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. Operating at the intersection of AI, cyber security, and enterprise data platforms , the business is focused on transforming how organisations model access, risk, and data relationships across increasingly distributed cloud environments. The team is small, highly technical, and product-focused, with a strong bias toward ownership, rapid iteration, and building systems that operate in complex, real-world enterprise environments. Engineering sits at the centre of everything, and individuals are expected to have a direct impact on product direction and architecture. The Role We are seeking a Founding AI Engineer / Engineering Lead to join the business at a pivotal stage as the platform moves from early MVP into scalable production use with enterprise customers. This is a hands-on technical leadership role , not a product management position. You will be responsible for designing, building, and scaling core components of an AI-driven enterprise platform, working across data, machine learning, and distributed systems. You will also work directly with early customers to understand real-world use cases and translate them into robust, scalable product capabilities. This role suits someone who still enjoys building and shipping code, but is comfortable influencing architecture, mentoring engineers, and shaping technical direction. You will have significant influence over: Core system architecture AI/ML strategy and implementation Data modelling and enterprise integration patterns Early product design decisions Engineering standards and scalability approach Key Responsibilities Design and build core components of an AI-native enterprise platform from the ground up Develop and deploy machine learning and LLM-based systems in production environments Build scalable data and AI pipelines across complex enterprise datasets Work closely with early enterprise customers to refine requirements and shape product direction Define and implement system architecture for AI, data, and integration layers Build agentic AI workflows and knowledge-driven systems using modern LLM frameworks Implement robust MLOps pipelines for model training, deployment, monitoring, and governance Contribute directly to production code in Python and related AI/data tooling Support technical decision-making around cloud architecture, scalability, and system design Help establish engineering best practices in a fast-moving early-stage environment Tech Stack Python TensorFlow / PyTorch LLM frameworks (LangChain, LangGraph, or similar agentic AI tooling) AWS / Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed data systems and APIs Required Skills & Experience Several years' experience in software engineering, data engineering, or AI engineering roles Strong academic background in Computer Science, Engineering, Mathematics, or similar Experience working in a product-led technology environment (SaaS, AI platform, or similar) Proven ability to ship production-grade AI or data systems Strong Python engineering capability Experience with modern ML / LLM systems and frameworks Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP) Comfortable working in early-stage environments with ambiguity and ownership Strong communication skills and ability to work directly with technical and non-technical stakeholders Bonus Experience (Highly Valued) Cyber security / identity / access management (IAM / IdAM) exposure Cloud operations, DevSecOps, or infrastructure-heavy environments Experience in regulated or enterprise-scale domains Knowledge of enterprise data governance, data modelling, or integration architecture How You Work Highly hands-on and enjoys building systems end-to-end Comfortable operating in ambiguity and shaping problems as well as solving them Strong bias toward delivery, iteration, and practical engineering outcomes Collaborative, but able to take full ownership of technical decisions Interested in building foundational systems, not just features What We Offer Highly competitive base salary (DOE) + bonus Equity / stock options in a high-growth early-stage business Private medical insurance Hybrid working (London-based, flexible model) High ownership role with significant influence on product and architecture Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Founding Engineer - Full Stack - Finance AI As their first hire, you'll take the lead in building our financial AI agent at the frontier of LLM apps. They expect you to proactively design and apply novel solutions across the entire stack. The primary responsibility is making sure a model always has the right context and answers accurately against eval datasets. You'll own the agent's tech roadmap, shape our engineering culture, and grow into a leading expert. What you'll do Build Their agentic LLM system and ensure it is consistently accurate Develop how we parse, index, retrieve and cite data from complex financial documents Create inernal evaluation system to measure quality of answers Come up, quickly prototype, then deploy novel techniques for all of the above What we're looking for Strong software engineer with fluency in Python and TypeScript Familiarity with building LLM apps, including RAG and prompting A daily LLM user in both coding and life Ability to pick the right problem and solve it Desire and curiocity to study basic financial stuff Why join us Salary range 80,000 to 120,000 with (phone number removed)% equity ownership A lot of autonomy on tech decisions and architecture Work with us in person 3-5 days a week from a London office (helping to relocate) Best health insurance (soon)

About the Role We're looking for a founding full-stack engineer to join an early-stage, high-impact startup at the intersection of AI and law. You'll be one of the first hires, owning features end-to-end-from talking to users and scoping problems to building and iterating solutions. If you're excited to shape a product that's trusted by top-tier professionals in a high-stakes environment, and want to help define both engineering culture and technical foundations, this is for you. What You'll Do Work across the stack: Python backend, Next.js + TypeScript frontend, PostgreSQL Architect scalable document processing pipelines for large datasets Build AI-native user experiences and intelligent agent workflows using state-of-the-art LLMs Improve system performance, stability, and observability Deploy to Azure using infrastructure-as-code (Bicep) and CI/CD via GitHub Actions Collaborate directly with users to deeply understand workflows and pain points Influence engineering best practices, product direction, and team growth What We're Looking For 3+ years of experience in full-stack or backend development Proficiency with Python, TypeScript, and modern frameworks like Next.js Strong product sense and ability to work autonomously High attention to detail and bias for action Excellent communication skills Bonus: Experience or interest in legal tech or document-heavy domains Why Join Be part of a ground-floor team shaping a next-gen AI product Work with real users at leading firms in a rapidly evolving industry Backed by YC and top-tier investors Own a meaningful equity stake Move fast, ship often, and work on genuinely hard and impactful problems Compensation & Benefits 70-100K salary 0.50%-1.00% equity Hybrid working (London-based) Fast response time: Expect to hear back within 24h