People Power for an Autonomous Age

Our client, a cybersecurity startup leveraging AI models, is looking for a Founding Product Engineer. Based in London, this is an onsite role. You'll be responsible for architecting and implementing frontend and working closely with the cybersecurity team to create an intuitive and powerful interface for their cutting-edge security platform. What you will do: Lead the design and development of the product frontend, creating scalable and high-performing web applications in React Collaborate with cybersecurity experts, data scientists, and UX designers to make AI-driven security solutions accessible through a seamless user experience Drive the product development lifecycle, from conceptualization to deployment and iteration Qualifications: Bachelor's or Master's degree in Computer Science or related field Experience with frontend build tools and CI/CD pipelines Deep expertise in modern JavaScript, HTML, and CSS Strong understanding of responsive design and cross-browser compatibility Track record of technical leadership in fast-paced startup environments Expertise of bringing early-stage products to market, from concept to launch - Ideally for B2B enterprises What's on offer: Opportunity to shape the future of AI-driven cybersecurity Collaborative and innovative work environment Potential for rapid career growth as the company scales This role offers the potential for huge gains in equity If you're passionate about AI, this is a chance to be part of a cutting-edge AI-driven cybersecurity company. If you’re excited to shape the future with your work, reach out today!

Our startup client based in London is looking for a Senior Software Engineer. You'll be joining a team of four (CEO, CTO, Chief Scientist and Head of Engineering) as the first software engineer. This role grants you a significant degree of autonomy, and influence over the development and direction of the platform and product. You will be building a SaaS product that will allow materials engineers to leverage cutting-edge AI in their work. You'll work on: Building a robust cloud platform for scheduling the training and serving of bespoke AI models for their customers A rich web-based image manipulation application for pre-processing image data that is used to train machine learning models What You’ll Do: Collaborate closely with the founders and early customers to design the architecture of the platform Take full ownership of the product lifecycle, delivering end-to-end solutions Work with a modern tech stack including TypeScript, React/Next.js, Python, AWS, Docker, and Kubernetes Requirements: A degree in Computer Science or a related field Experience in startups, ideally founder background essential Strong focus on high-quality software engineering and cloud-based solutions Expertise in TypeScript and Python, with a full-stack skill set Willingness to work across both front-end and back-end development (initially front-end focused, but likely to evolve) Comfort with product ownership and customer interactions Experience with stakeholder management is a plus At this early stage of the company's development you'll be in the office 5 days a week. If this opportunity sounds interesting, then apply today!

Our client is seeking a Lead AI Engineer to join their dynamic team. As the market leader when it comes to offering a seamless, innovative, and fully paperless solution for the secure distribution and review of medical records, case documents, and radiology they are now expanding their offering by integrating machine learning and artificial intelligence to enhance their services. Key Responsibilities: Lead the design, implementation, and optimization of AI models focused on generative AI and classification tasks. Develop and fine-tune Large Language Models (LLMs) like GPT-4 for applications such as text generation and document classification. Utilize text embeddings for representation, similarity search, and NLP tasks. Architect and deploy AI solutions on Azure, leveraging services like Azure Machine Learning and Azure Cognitive Services. Manage workflows for LLM-driven applications using Prompt Flow. Collaborate with cross-functional teams to align AI solutions with business goals. Ensure scalability and efficiency in AI pipelines, following best practices in MLOps. Technologies Used: LLMs (e.g., GPT-4) Azure Machine Learning, Azure Cognitive Services Python, PyTorch, TensorFlow, Hugging Face Prompt Flow, MLOps Docker, Kubernetes What They’re Looking For: Expertise in LLMs and embeddings for NLP applications. Experience with generative AI models and classification tasks. Proficiency in Python and AI/ML libraries. Strong experience with Azure technologies and Prompt Flow. Knowledge of MLOps practices and container orchestration. A bonus: NHS experience Why Join? This remote role offers a competitive salary and sponsorship, including health insurance and a bonus scheme. You'll work in a supportive environment that values collaboration and personal growth while making a meaningful impact. If you’re ready to advance your career and be part of a transformative journey, apply today!