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For Companies At a Glance
- Tasks: Lead the design and optimisation of AI/ML models for blockchain data analysis.
- Company: Join a leading company in blockchain analytics, shaping the future of crypto.
- Benefits: Enjoy remote work flexibility and competitive salary up to £130,000.
- Why this job: Be at the forefront of AI innovation in the exciting world of blockchain technology.
- Qualifications: Experience in AI/ML projects, proficiency in Python, and knowledge of TensorFlow or PyTorch required.
- Other info: This role is fully remote and does not offer sponsorship.
The predicted salary is between 78000 - 156000 £ per year.
Job Description
AI Engineer – LLMs / Applied AI
London (onsite)
Salary up to £180k + equity
We’re working with a fast-growing AI startup building proprietary algorithms that are redefining how complex knowledge work is done.
With strong revenue traction, top-tier investors, and a deeply technical founding team, this is a chance to help build a category-defining company from the inside.
What you’ll be responsible for:
- Designing, building, and deploying production-grade AI algorithms that materially improve output quality in real-world applications
- Owning state-of-the-art evaluation pipelines to benchmark models, guide R&D, and support rapid iteration
- Researching and implementing advanced prompt engineering and LLM interaction techniques
- Working across the stack (primarily Python, but also Postgres and React) to ensure research translates cleanly into customer-facing product
- Moving fast from idea to production, with direct customer feedback loops
The environment:
- High-ownership, low-ego team of AI researchers and elite engineers
- Strong commercial traction with hundreds of enterprise users globally
- Recently closed a major funding round from top-tier investors
- Ambitious, execution-focused culture with very high engineering standards
What we’re looking for:
Must-haves:
- Deep Python expertise and experience shipping AI systems into production
- Hands-on experience with LLMs, prompt engineering, and modern model architectures
- Proven track record building evaluation frameworks or ML pipelines used in live environments
- Comfort working end-to-end across the stack
- Clear communicator who can reason about complex technical trade-offs
- 4+ years experience total
Nice-to-haves:
- Publications at top ML conferences (NeurIPS, ICLR, ICML)
- Experience with LLM evaluation tooling (e.g. OpenAI Evals or similar)
- Strong GitHub presence or technically ambitious side projects
What’s on offer:
- Salary up to £180k + meaningful equity
- Work directly with a highly technical founding team
- Visa sponsorship and private medical insurance
- London-based, high-performance office environment with meals provided
- Opportunity to help shape a product and company with genuine breakout potential
Apply below!
Senior AI Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and blockchain technologies. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage with the AI and blockchain communities by attending webinars, meetups, or conferences. Networking with professionals in these fields can provide valuable insights and potentially lead to referrals. Plus, it shows your commitment to continuous learning and collaboration.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that relate to AI/ML and blockchain. Be ready to explain your role, the challenges you faced, and the impact of your work. This will showcase your hands-on experience and problem-solving skills, which are crucial for this position.
✨Tip Number 4
Highlight your ability to mentor and collaborate with others. Since this role involves working with junior engineers and cross-functional teams, be prepared to share examples of how you've successfully guided others or worked in diverse teams. This will demonstrate your leadership qualities and teamwork skills.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML projects, particularly those involving blockchain data analysis. Use specific examples to demonstrate your expertise in frameworks like TensorFlow or PyTorch.
Craft a Compelling Cover Letter: In your cover letter, express your passion for blockchain and crypto. Discuss how your skills align with the company's goals and how you can contribute to their AI/ML initiatives.
Showcase Relevant Projects: Include a portfolio or links to relevant projects that showcase your ability to deliver impactful AI/ML solutions. Highlight any experience with large language models and data engineering.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Brush up on your knowledge of AI/ML algorithms, frameworks, and best practices, as well as your problem-solving approach.
How to prepare for a job interview at Harnham
✨Showcase Your AI/ML Expertise
Be prepared to discuss your previous projects in detail, especially those involving AI and machine learning. Highlight specific frameworks you've used, like TensorFlow or PyTorch, and explain how you applied them to solve real-world problems.
✨Demonstrate Your Passion for Blockchain
Since the role is focused on blockchain analytics, make sure to express your enthusiasm for the technology. Share any personal projects or research you've done related to blockchain, crypto, or Web3 to show your genuine interest.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of AI/ML concepts. Brush up on key algorithms, data structures, and the latest trends in AI and blockchain technologies to impress your interviewers.
✨Emphasise Collaboration Skills
As this role involves working with cross-functional teams, be ready to discuss your experience collaborating with product and engineering teams. Provide examples of how you've successfully integrated AI/ML solutions into existing platforms and enhanced user experiences.
