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

Nominate & Attend

Business Development Director

London
2 months ago
Applications closed

Related Jobs

View all jobs

Business development Manager (Staffing Consultancy)

Business development Manager (Staffing Consultancy)

Business Development Executive - Scientific

Senior Data Engineer

Principal Data Scientist

Principal Data Scientist

Business Development Director UK and Europe

Our client specialises in managing risk. Their expertise in AI, data science and other technologies, has enabled them to develop their own state-of-the-art research platform and workflow tools.

They offer an innovative solution to businesses grappling with Third-Party Risk Management (TPRM). They are now looking for a Business Development Director.

Responsibilities:

  • Prospecting and Lead Generation: Research and identify high-value prospects in target markets. Use tools like LinkedIn, networking events, cold calls, and email campaigns to build a robust pipeline of potential clients.

  • Solution Selling: Understand the specific challenges and goals of prospects, and tailor your pitch to demonstrate the value and ROI of our SaaS solutions.

  • Pipeline Management: Own the end-to-end sales process, from initial outreach to closing deals. Maintain accurate records and forecasts in the CRM system.

  • Market Intelligence: Stay ahead of market trends, competitors, and emerging opportunities. Share insights with internal teams to refine go-to-market strategies.

  • Building Relationships: Establish trust and credibility with key stakeholders, serving as a trusted advisor throughout the sales process and beyond.

  • Collaboration: Partner with marketing, customer success, and product teams to align sales strategies, generate qualified leads, and improve the customer journey.

  • Exceeding Targets: Consistently meet or surpass individual and team sales KPIs (e.g., new client acquisition, revenue growth, conversion rates).

    Experience required:

  • At least 5 of experience in sales, with a proven track record of success in a hunter role, ideally in SaaS or tech sales.

  • In addition a knowledge of the TPRM market would be beneficial.

  • Strong ability to identify and qualify leads, as well as to manage and close complex sales cycles.

  • Demonstrated expertise in consultative and value-based selling approaches.

  • Exceptional communication, negotiation, and interpersonal skills.

  • Comfort with CRM tools, sales prospecting software, and analytics platforms (e.g., Salesforce, HubSpot, LinkedIn Sales Navigator).

  • Self-starter with a competitive spirit and drive to achieve ambitious goals.

  • Bachelor's degree in Business, Marketing, or a related discipline (preferred)
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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.