Co-Founder

FastTracked
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Salesforce CRM Data Analyst

GenAI Software Engineer/Data Scientist

Data Analyst Placement Programme

Data Analyst Placement Programme

Complaints Data Analyst

Data Analyst

Co-Founder/CTO Opportunity at FastTracked (AI for the Moving Industry) Location: Remote Commitment: Full-time preferred, open to part-time initially Compensation: Equity (negotiable) with a potential for a small salary (initially) About FastTracked FastTracked is transforming the $40 billion moving industry with AI-driven solutions that simplify operations and slash costs. We are on a mission to revolutionize the moving services and removals industry by making AI technology more accessible and affordable. Our core solution is an AI-powered video survey tool that will allow companies to offer accurate quotes based on video analysis of moving items, replacing or enhancing the traditional in-person surveys. We're aiming to speed up the process, reduce costs, and make moving services more efficient for both businesses and their customers. Our long-term vision is to create a suite of complementary AI solutions based around this video survey technology to enhance every aspect of a moving company's operations. We plan to achieve this through integration with industry-specific partners as well as offering bespoke services to individual businesses . The Role We're looking for a Tech Co-Founder/CTO who is excited to lead the technical development of our solutions. You’ll be responsible for building our MVP from scratch and developing other AI tools tailored for the moving industry. As we grow, you’ll also play a key role in hiring and leading a tech team as we scale. You’ll have the freedom to choose the tech stack and guide the technical architecture of the company. Responsibilities: Lead the development of AI tools and the MVP to disrupt traditional in-person surveys, making moving services faster and more efficient. Build and iterate on industry-specific AI solutions that will reshape how businesses operate and engage customers. Take charge of hiring and managing a development team as the company scales. Collaborate closely on strategic decisions and product direction with the founding team. Drive the vision of implementing internal AI tools to enhance and optimize FastTracked’s operations. Ideal Co-Founder: 10 years of software development experience. Proven track record of building and shipping products, with familiarity with AI development . Experience with computer vision, video processing, and AI/ML frameworks is a plus. Leadership and team-building experience; ready to lead a tech team post-funding. Familiar with startup environments and excited by the challenge of building something from the ground up. Strong problem-solving skills with the ability to adapt and iterate in a fast-moving startup environment. Driven, open, and mature, with a passion for being part of the strategic direction of the company. Compensation & Commitment: This is an equity-based role with a small initial salary. As the founder, I am not taking a large salary while the product is in development and would like someone willing to adopt similar terms. While full-time is preferred, we understand the need for part-time initially. The role is fully remote. Equity Vesting We’re considering a 4-year vesting period with a 1-year cliff to ensure that both parties are committed long-term. The vesting schedule can be adjusted depending on mutual agreements. Interested? Join FastTracked at this critical growth stage, where your expertise will make an immediate impact. If you're passionate about AI and ready to build something from the ground up with AI at the heart of things, we’d love to talk to you Reach out to us to learn more and discuss how we can transform the moving industry together.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.