Chief Financial Officer (CFO) – London (Hybrid/Remote Available)

London
10 months ago
Applications closed

Related Jobs

View all jobs

Lead Site Reliability Engineer - DataOps

Applied AI and Machine Learning Scientist - Senior Associate

Artificial Intelligence Lead (18 month FTC)

Artificial Intelligence Lead (18 month FTC)

Artificial Intelligence Lead (18 month FTC)

Artificial Intelligence Lead (18 month FTC)

A pioneering company in the humanoid robotics, artificial intelligence, and machine learning industry is seeking a Chief Financial Officer (CFO) to lead its financial strategy and drive growth. This is a unique opportunity to play a critical role in shaping the financial future of an innovative deep-tech startup.

Key Responsibilities:

  • Financial Strategy & Growth: Develop and execute a long-term financial roadmap to support scaling and market expansion.

  • Fundraising & Investor Relations: Build and maintain relationships with venture capital firms, investors, and funding partners, with a strong focus on the U.S. market. Lead and execute funding rounds, including Seed, Series A, and beyond.

  • Financial Oversight & Risk Management: Establish and optimize internal financial processes, manage budgets, and ensure efficient cash flow.

  • Financial Planning & Analysis: Provide insights and forecasting to support key business decisions.

  • Compliance & Tax Strategy: Ensure financial operations align with international legal and regulatory requirements.

  • Strategic Leadership: Work closely with the CEO and senior leadership team to align financial strategy with business objectives and scale the company effectively.

    Key Requirements:

  • Proven experience as a CFO or senior finance leader in a high-growth tech startup, ideally within robotics, AI, or machine learning.

  • Strong track record in fundraising, with established connections to U.S. venture capital firms and investors.

  • Experience leading multiple funding rounds and managing relationships with VCs, angel investors, and strategic partners.

  • Deep knowledge of the U.S. financial and investment landscape.

  • Strong strategic thinking, analytical skills, and ability to lead teams in a fast-paced startup environment.

  • Understanding of international finance, tax regulations, and compliance.

    This is an exciting opportunity to join a cutting-edge company at the forefront of humanoid robotics and AI innovation

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

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

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.