At a Glance
- Tasks: Engage with customers to design and build AI-powered solutions that solve real-world problems.
- Company: Join HASH, a pioneering tech company transforming how we use information.
- Benefits: Competitive salary, equity options, learning budgets, and quarterly team retreats.
- Other info: Work alongside industry leaders and shape the future of AI technology.
- Why this job: Be part of a fast-growing team making a significant impact in AI research.
- Qualifications: Experience in AI/ML engineering or software development with strong problem-solving skills.
The predicted salary is between 70000 - 120000 £ per year.
About HASH
At HASH, we're building infrastructure to solve information failure and help everybody make the right decisions. Our open-source platform helps firms integrate both structured and unstructured information into knowledge graphs that support simulating, optimizing and automating processes. We’re building towards world models from a radically different perspective to most AI labs.
About the role
In the last 6 months we've seen significant growth and are now scaling fast. We're hiring AI Solution Engineers in London and Berlin to help build real-world applications for our customers utilising HASH's technology. This is a highly technical, customer-facing role for someone who enjoys operating at the intersection of AI, systems thinking, and problem-solving. You’ll work closely with customers to understand their goals, translate complex business problems into robust technical solutions, and help them realize value quickly.
Requirements
- Strong technical ability, with experience shipping software, or building AI systems in production: prior AI/ML engineering, data engineering, applied AI, or product engineering experience is a hard requirement.
- Ability to work directly with customers and own complex problem-solving end to end: you'll interface with external stakeholders and will need to draw upon social intelligence, business context, and technical insight in your work — demonstrating clear, structured communication.
- Strong judgment, high agency, and a bias toward execution: comfort operating in fast-moving environments with a high degree of ambiguity.
- Genuine interest in helping customers succeed, not just shipping technology: results-oriented and impact-motivated; many of our engagements are priced based on the results we deliver, as is compensation in this role.
What you'll do
- In essence, you'll talk to customers, act as a technical architect, and write code / develop solutions yourself (both solo and within a wider team):
- Partner with customers to understand their workflows, data, and operational challenges.
- Design and build AI-powered solutions using HASH, especially for enterprise use cases.
- Translate ambiguous business problems into structured technical plans and deployable systems.
- Work across knowledge graphs, structured and unstructured data, LLM-based workflows, and automation.
- Lead technical discovery, solution design, implementation, and rollout with customer stakeholders.
- Act as a trusted advisor to customer teams, from operators and technical teams through to executives.
- Work closely with product, engineering, and research to shape the platform based on real customer needs.
- Help define repeatable solution patterns, delivery playbooks, and best practices as we scale.
Why HASH
- Work on first-principles AI research tied to a large and important real-world mission.
- Join at a moment of rapid growth, with outsized scope and influence.
- Help build a leading frontier AI lab in Europe with global ambition.
- Work alongside founders who have previously built and exited businesses worth billions of dollars.
- Be part of a team that moves fast, is enthusiastically open source, and is in it for the long-term.
Benefits
Our team have founded and sold billion-euro companies from scratch. We offer leading equity-weighted total compensation, including competitive salaries and tax-advantaged options. We meet together quarterly in-person for whole-team retreats, provide engineers with generous learning and tech budgets, and recognise and reward output. This role is primarily performance-incentivized and pays £70,000-£120,000 base/bonus, plus meaningful equity.
AI Success Engineer in London employer: HASH
HASH is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to tackle complex AI challenges and make a tangible impact. With competitive salaries, generous learning budgets, and the opportunity to work alongside industry-leading founders, team members can expect significant professional growth and the chance to contribute to groundbreaking projects in a fast-paced environment. Our commitment to open-source principles and performance-based incentives ensures that every employee's contributions are recognised and rewarded, making HASH a truly rewarding place to advance your career.
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We think this is how you could land AI Success Engineer in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Success Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at HASH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at HASH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at HASH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
