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Experience is necessary. This is not an entry level position. You must have a clear telephone manner, your first interview will be video call. I am an engineer and I work from a beautiful workshop in Hackney with a team of 4. Four or Five days a week I'm in my workshop and I need assistance on keeping my work for and personal and business life organised to help me concentrate at my profession as a creative designer and builder of many many things. In my past two years I have built commercial shops, theatre sets, TV studios, camper vans, and even a piano cocktail bar. Most of it needs to be put up on my Instagram but for what I have put up you can check it out Calendar management and customer conversation is important. I have a solid drive for the creativity I pour into my work. In your day you'll sort out the dogs walking, arrange packages and deliveries and keep my events calendar organised and up to date with the right platforms. Property management is also on the list with cleaners, admin and ordering. I need scheduled in with coaching and therapy as well each week and it should not disrupt whatever work flow I have scheduled either. Billing and accounting is also a super help to keep me organised. Should you be interested in assisting me please reach out.
we are building AlgoRisk AI – a next-generation platform that uses AI to transform how banks develop and govern financial models. We’re currently working on a number of projects across using GPT-4, React, Supabase, and modern LLM tools. This is a confidential, real-world project (not open-source). I’m inviting a small group of motivated contributors to work with me as unpaid interns or collaborators. What You’ll Gain: • Official Certificate of Contribution (AlgoRisk AI) • Mentorship from a fintech founder • Hands-on experience with real-world AI tooling • Strong reference or letter for future roles • Chance for future paid work post-MVP ⸻ Key Skills Needed (any 2–3 of these is enough): • React / Next.js (Frontend) • Supabase (Database + Auth) • OpenAI API (GPT-4/4o chat completion) • JavaScript or TypeScript • CodeMirror or Monaco Editor • Python / FastAPI (nice to have) • GitHub + version control • Curiosity to learn and build fast ⸻ Commitment: • Remote, flexible hours (20-30 hrs/week) • 3–5 weeks (initial phase) • Start immediately ⸻ How to Apply: DM us with: • Your name and country • LinkedIn or GitHub profile • A short sentence on why you’re interested Let’s build something impactful together.
LSL Capital is on the hunt for a talented Digital Marketing Executive to join our dynamic team. This role is for someone who embodies creativity and has an appetite for thriving in the bustling world of social media and digital communications. Key Responsibilities: Strong Social Media Strategy & Management: Cultivate and manage our brand's presence and performance KPI’s for the brands across various social platforms. Implement campaigns to increase reach and following across all agreed social platforms. Engage with our audience, respond to queries in a timely manner, and create an inviting community atmosphere. Strategic Planning: Working with the team to design and implement social media strategies that align with business goals. Analyse the performance of social media campaigns and pivot strategies as necessary to enhance engagement and results. Monitor social media channels for trends and discussions relevant to the luxury hospitality industry and the brands. Content Creation: Craft high-quality, original content tailored to our brand's voice and image. Collaborate with other departments to ensure that the visual and verbal narratives are consistent and effective. Consistently uphold the individual brand guidelines and ensure all content and promotional materials align with the brand’s character. Analytics and Reporting: Utilise social analytics tools to track and measure the performance of monthly growth and performance of the property’s social media accounts and campaigns. Create and submit detailed monthly reporting for each property account with learnings and insights on adjusting strategies based on the data-driven findings. Digital Communications: Take charge of website maintenance, ensuring content is current, user-friendly, and optimised for search engines. Curate compelling newsletters and implement initiatives to grow our database. Digital Advertising: Support on the creation and management of digital ad campaigns across various channels. Manage budgets, review and report on monthly organic & paid social performance and provide strategic direction for future campaigns based on learnings, working with the team and a digital agency. Ideal Candidate: Proven experience in digital marketing and hospitality/ lifestyle brand. Proficient in the use of social media management tools and digital analytics software to track engagement and campaign performance. Strong understanding of digital marketing strategies and best practices. Experience using analytical tools to interpret monthly performance metrics to inform strategy for each social media account Passion for hospitality and its multi-cultural environment, with the ability to infuse cultural nuances into marketing strategies. Self-motivated, creative thinker, with a knack for staying ahead of digital trends. Excellent verbal and written communication skills. Strong eye for design and visual storytelling abilities. Experience in content editing, website management, CMR and CMS systems. In return for your expertise, we promise a collaborative working environment and opportunities for professional growth. We also offer employee discounts that open the door to some of the most prestigious restaurants in the heart of Mayfair. We can’t wait to hear from you!
About Rival: Backed by top VCs and angels, Rival is building a unique 3D content-sharing platform and a first-of-its-kind foundational AI model that converts any 2D video into an immersive 3D experience. Currently a team of 13, Rival has brought together talents from Google, Meta, Amazon, BCG, Morgan Stanley, etc. Project Overview: We are seeking a highly motivated PhD intern to join our team and contribute to an exciting project focused on developing a novel, end-to-end system for converting standard 2D videos into compelling 3D (stereoscopic or depth-based) formats using advanced AI techniques. The goal is to research, design, and implement deep learning models capable of understanding scene geometry, motion, and temporal consistency directly from monocular video input to generate high-quality 3D output automatically. This research has the potential to revolutionize content creation and consumption for VR/AR and 3D displays. Your Responsibilities: Conduct literature reviews on state-of-the-art methods in monocular depth estimation, novel view synthesis, video understanding, and 2D-to-3D conversion. Design, implement, and experiment with deep learning architectures (e.g., Transformers, CNNs, GANs, Diffusion Models) for the 2D-to-3D conversion task. Focus on key challenges such as temporal consistency, handling complex motion, maintaining geometric accuracy, and computational efficiency. Process and manage large-scale video datasets for training and evaluation. Collaborate closely with researchers and engineers to integrate findings into a prototype system. Analyze results, document findings, and present progress regularly. Contribute to potential publications or patent applications based on research outcomes. Required Qualifications: Currently enrolled in / just finished a PhD program in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field. Research focus in Computer Vision, Deep Learning, Machine Learning, or Graphics. Solid theoretical understanding and practical experience in deep learning and computer vision fundamentals. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). Experience working with image and/or video data. Strong analytical, problem-solving, and research skills. Excellent communication and collaboration abilities. Preferred Qualifications: Track record of relevant publications in top-tier CV/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH). Experience specifically with monocular depth estimation, stereoscopic vision, view synthesis, video generation, or 3D reconstruction. Familiarity with video processing tools (e.g., OpenCV, FFmpeg). Experience with large-scale model training and data pipelines. Contributions to relevant open-source projects.