Senior Venture Capital Alliance Business Development, EMEA

United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Senior Manager, Private Equity and Venture Capital Partnerships

PolyAI United Kingdom

Senior Director of Strategic Business Development

Ocado United Kingdom

Senior Full Stack Engineer (Must be based in UK)

PolyAI London, United Kingdom
On-site

Senior Software Engineer

Ocado United Kingdom
Hybrid

Senior/Staff Software Engineer, Back End Leaning

Synthesia London, United Kingdom
Remote

Senior Applied Scientist, Insights, Prime Video

Amazon London, United Kingdom
On-site
Seniority
Senior
Posted
27 Feb 2026 (3 months ago)

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing, an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Join NVIDIA's dynamic team as a Senior Venture Capital Alliance Business Development professional, where you'll be at the forefront of innovation! In this role, you'll have the opportunity to craft the future of AI by building strategic relationships with leading venture capital firms and startups in Europe. Using NVIDIA's technology and unparalleled market presence, you'll drive impactful collaborations and elevate our VC Alliance and Inception programs to new heights. This is an outstanding chance to create a substantial impact within a driven, world-class organization.

What you'll be doing:

  • Lead and cultivate relationships with the most strategic VCs and their portfolio companies across EMEA, to amplify NVIDIA's influence in the region's VC and startup ecosystem.

  • Enable successful partnerships between partner VC's portfolio companies and NVIDIA business units, ensuring impactful collaboration and execution. Increase connectivity between VCs and NVIDIA's product and vertical teams, ensuring seamless integration and communication.

  • Plan and coordinate opportunities for NVIDIA executives to engage with VCs and startups, encouraging strong, impactful relationships.

  • Design and launch ecosystem development initiatives tailored for key and emerging partners, driving long-term growth and impact.

What we need to see:

  • Bachelor's degree or equivalent experience required

  • A strategic approach with a focus on driving long-term impact.

  • 8+ years of professional experience, demonstrating strong execution skills, including experience designing, launching, implementing, and growing a new initiative.

  • At least 4 years working in the VC or startup ecosystem in Europe, with an extensive relevant professional network in the region.

  • Outstanding proficiency in handling internal and external partners, cultivating and preserving positive relationships.

  • Strong communication and storytelling skills, with the ability to convey nuanced ideas clearly and compellingly.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.