National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AI Scientist (PhD Graduate)

Harnham
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Applied Scientist - Computer Vision

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Senior Data Scientist

Senior Data Scientist

Data Scientist – AI Marketing

AI Scientist (PhD Graduate)


Salary:£75,000-£90,000 + equity, bonus and benefits


Location:London - Flexible working 1-2 days a week


Join an exciting start up in their hypergrowth phase - with impressive pre-seed funding, a headcount of 9 (looking to scale) and a product across the creative and graphic design space as an AI agent. Backed by top VCs and 2 ex-Big Tech Co-Founders.


ROLE AND RESPONSIBILITIES


  • Working closely within a small team, to build and scale ML models focusing onComputer Vision, LLMs and ML
  • Applying the latest research to commercial problems
  • Working alongside technical founders, chance to have real autonomy and drive commercial and technical value - whilst working with the end users
  • Driving the latest innovative research in AI, deploying core projects onto their platform
  • Opportunity to upskill and mentor junior members, whilst learning from a high-calibre team


SKILLS AND EXPERIENCE


Required

  • PhD froma top academic institutionin STEM related subject
  • Proof of AI academic achievement (publications, conferences, awards etc.)
  • Proficiency in Python, PyTorch, TensorFlow
  • Then experience in some of:Computer Vision (2D or 3D), GenAI, LLM (Agents and Fine tuning), Machine Learning
  • Actively looking to join a fast-paced startup
  • Any internships or experience in big tech, startup or founder experience is beneficial


This role can sponsor for strong candidates


Apply below!

National AI Awards 2025

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.

Jobs

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Education

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

Careers

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.