Machine Learning Solutions Engineer

V7 turns data into trustworthy AI, powering products that solve our customer's toughest problems. Our flagship product, V7 Darwin, helps companies accelerate the process of building trustworthy AI models, while our generative AI platform, V7 Go, lets customers build multi-modal solutions, with scaleable, reliable, and no-code workflows.

V7, UK HQ, recently raised a $33m Series A from Geoff Hinton’s (Inventor of AI as we know it) Radical Ventures, and are backed by some of the best minds in AI, from Ashish Vaswani (Invented Transformers, the basis of GPT) Oriol Vinyals (Google Deepmind and Gemini co-lead), Christian Szegedy (X.ai) and AI leadership at Amazon, X, Isomorphic, and Google. V7 is used to power AI’s rollout at Fortune 500 organisations including Bayer, Boston Scientific and Genentech.

About the role:

As an Machine Learning Solutions Engineer, you collaborate with our direct and in direct sales teams to ensure key V7 customers achieve twice the impact in half the time. You will thrive on understanding technical leaders’ challenges and requirements and delivering complex solutions and POVs. You are a prototyper at heart with a gift of talking to customers, building relationships, and solving technical problems with repeatability.

You will join a team of four, supporting the wider sales team on key deals and customer proof-of-values. V7 is an entirely self-serve product, however complex problems sometimes require complex solutions that customers don’t always see - that’s where you come in.

What you will be be doing:

• Solutions development and presentation: You will develop and present workflow implementations within V7 that combine prompt engineering, data ingestion pipelines, and format conversions, solving customer problems in image recognition, document processing, product development and more. You will present your findings to customers alongside sales.
• Technical integrations: You will work with our product team to assist with the integration of new models and ML-Ops tools into V7.
• Marketplace Integration: Develop and maintain the integration into major cloud marketplaces so users can more easily set up V7 on their cloud of choice.
• Time management: Multi-task between up to 5 simultaneous projects delivered in short timeframes. You are a skilled multi-tasker and familiar with project management tools like Linear.

Who you are:

• University degree in computer science, engineering, mathematics or related fields.
• Experience delivering Large Language Model projects, including LLM API integration, up-to-speed knowledge of foundation models, SFT (Supervised Fine-Tuning), , prompt engineering and / or measuring AI accuracy.
• Two years + experience in solutions architecture or integrating multiple applications / data streams, or ML development within customer-facing roles.
• Intermediate experience with Python.
• You must be able to communicate with credibility to executives and senior level personas with customers and partners.
• Willingness to define and refine best practices in a fast-paced start up organisation.
• Nice to have: Hands-on experience building computer vision or language models.

What’s in it for you:

• V7 were named as Linkedin’s No2 top startup in the UK n 2023 and 8th on Sifted’s top 100 fastest growing startup UK/I list 2024.
• Take a look at the launch of V7 Go here in 1 min video.
• Top 15% quartile stock options through a EMI scheme.
• Private Healthcare via Vitality.
• Learning and Development wallet of £800 per year.
• Monthly well being and mental health budget.
• Personalised benefits platform via Thanks Ben.
• Enhanced parental leave.
• 4-day company wide retreats in stunning locations.
• Soho London office with a barista, fresh fruit, and other amenities.
• Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & knowledge during normal times.
• Hybrid working London, UK or remote across Europe timezone eligible.

What's the interview process: 1st recruiter screen with Sr Talent Acquisition Manager, 2nd Hiring Manager, 3rd Technical Test, 4th Product Test and 5th Onsite Final Stage.