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We’re hiring a Senior AI Engineer for an exciting early-stage AI startup with £2M in seed funding. This role is not for managers sitting in meetings all day – we need a doer. Someone who writes production code, prototypes at lightning speed, and loves turning ideas into scalable AI systems.
You’ll work directly with the founders (CEO/CTO) to drive our AI initiatives end-to-end, from research and proof-of-concept to production deployment. Legal-tech experience is a strong plus as we build transformative AI solutions for the legal industry.
Why Join Us
* AI-first legal-tech startup backed by £2M seed funding
* You’ll be the technical owner of the AI stack from day one
* Fast-moving, hands-on environment where your work directly shapes the product
* Competitive daily rate (£400–£450 outside IR35) and equity potential
What You’ll Do
* Lead AI strategy and execution in a high-ambiguity, high-opportunity startup setting
* Build, train, and deploy state-of-the-art models (deep learning, NLP, LLMs, computer vision)
* Design scalable ML pipelines and infrastructure for experimentation, versioning, and monitoring
* Rapidly prototype and productionize AI features with tight integration into our platform
* Stay at the bleeding edge of AI research and tools, bringing innovative approaches to our stack
* Mentor junior engineers as we scale and help grow a world-class AI/ML team
Key Responsibilities
Hands-On Development
* Prototype novel models (CNNs, Transformers, graph networks) using PyTorch, TensorFlow, or similar frameworks
* Productionize models in cloud environments (AWS/GCP/Azure) with containerization (Docker/Kubernetes)
Strategic Leadership
* Shape our AI roadmap aligned with product milestones and investor expectations
* Spot opportunities for AI-driven advantages (proprietary data, novel architectures, LLM applications)
* Translate ambiguous product challenges into technically feasible AI solutions
Data & Infrastructure
* Build and maintain scalable data pipelines (ETL/ELT) and data lakes/warehouses
* Establish ML Ops best practices: CI/CD for models, drift detection, and robust monitoring
* Recruit, mentor, and set standards for a growing AI/ML team
* Foster a culture of rapid experimentation and iterative delivery
What We’re Looking For
Minimum Qualifications
* 10+ years total experience, 5+ years in senior/lead roles shipping AI/ML products end-to-end
* working knowledge of Infrastructure and cloud is critical.
* Proven ability to build and deploy deep learning models (CNNs, Transformers, LLMs) in production
* Strong Python skills and expertise in ML frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
* Solid software engineering background: data structures, algorithms, distributed systems, Git
* Excellent communication skills and a track record of leading in ambiguous startup environments
Preferred (Nice-to-Have)
* Legal-tech or related domain expertise
* Experience with large language models (GPT, BERT, etc.) and prompt engineering
* Familiarity with MLOps tools (MLflow, Weights & Biases, Kubeflow)
* Prior experience at early-stage startups taking AI products from 0 → 1
* Open-source contributions or publications in top-tier AI/ML conferences
Soft Skills & Cultural Fit
We’re looking for a builder with:
* An ownership mentality: treats the system like their own
* A collaborative mindset: works cross-functionally with product and engineering
* A growth-oriented approach: learns fast, mentors others, and adapts
Send your CV and a brief cover letter (subject: Senior AI Engineer – [Your Name]) highlighting:
* A recent end-to-end AI/ML system you built and deployed (tech stack + impact)
* Any leadership or mentoring experience in high-paced environments
* Why you’re excited to join a high-growth AI startup
We review applications on a rolling basis and aim to schedule initial calls within 2 weeks.
We celebrate diversity and are committed to building a team that reflects a wide variety of backgrounds, perspectives, and skills.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Industries
Software Development
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