At a Glance
- Tasks: Develop and deploy cutting-edge AI systems in real-world enterprise environments.
- Company: Innovative BioTech startup focused on data science for drug discovery.
- Benefits: Competitive salary, fully remote work, flexibility, and autonomy.
- Other info: Join a dynamic team with opportunities for growth and collaboration.
- Why this job: Make a real impact with high-tech AI products used by leading enterprises.
- Qualifications: Experience in deploying NLP or LLM systems and strong engineering skills.
The predicted salary is between 90000 - 130000 £ per year.
If you enjoy taking advanced AI systems out of the lab and into real-world enterprise environments, this role gives you the chance to do exactly that. You will work directly with highly technical customers, shaping how cutting edge NLP, knowledge graph, and LLM technology is deployed at scale, while still remaining deeply hands-on as an engineer.
They are a BioTech startup organisation building data science products that support faster and more informed drug discovery. Their platform processes vast volumes of scientific literature and structures it into high value, production-ready datasets used by global pharmaceutical organisations.
You will lead technical delivery for enterprise customers, owning implementations from initial trials through to production deployments. You will work closely with customer engineering and data science teams to understand their environments and design robust AI driven integrations. You will contribute to technical scoping during pre-sales, helping shape feasible and scalable solutions. Alongside customer work, you will contribute directly to internal platform and engineering initiatives.
- Strong commercial experience deploying NLP or LLM powered systems into production environments.
- Hands-on experience with retrieval augmented generation, vector databases, and retrieval or recommendation systems.
- Practical experience building, debugging, and operating end to end LLM workflows.
- A solid engineering mindset with comfort working across data platforms, APIs, and cloud infrastructure.
- Exposure to graph databases and modern data warehouses is highly beneficial.
- Confidence working in customer facing settings, explaining technical trade-offs and collaborating across technical and commercial stakeholders.
Base salary between £90,000 and £130,000, depending on experience + benefits. Fully remote working with flexibility and autonomy. The opportunity to work on high impact AI products used by leading enterprise customers.
AI Developer - Python / Machine Learning employer: Harnham
As a BioTech startup, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to make a real impact in the field of drug discovery. With fully remote working options, flexible hours, and a strong emphasis on professional growth, we provide our AI Developers with the opportunity to engage directly with cutting-edge technology while collaborating with top-tier clients. Join us to be part of a mission-driven team where your contributions will shape the future of healthcare through advanced AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Developer - Python / Machine Learning
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and biotech space on LinkedIn or at industry events. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP, knowledge graphs, or LLMs. We love seeing practical examples of your work, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to AI systems and customer interactions. Being able to explain complex concepts simply is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who want to make an impact in the AI field.
We think you need these skills to ace AI Developer - Python / Machine Learning
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Developer role. Highlight your experience with NLP, LLMs, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our mission in the BioTech space. Be sure to mention specific technologies or projects that excite you about this role.
Showcase Your Technical Skills:In your application, don't forget to showcase your hands-on experience with retrieval augmented generation and vector databases. We love seeing practical examples of how you've built and deployed systems in production environments.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like NLP, knowledge graphs, and LLMs. Brush up on your experience with retrieval augmented generation and vector databases, as you’ll likely be asked to discuss how you've implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in deploying AI systems. Think about times when you had to debug or optimise workflows, and be ready to explain your thought process and the outcomes. This will demonstrate your hands-on experience and engineering mindset.
✨Understand the Customer Perspective
Since this role involves working closely with customers, it’s crucial to show that you can communicate technical concepts clearly. Practice explaining complex ideas in simple terms, and think of examples where you’ve successfully collaborated with non-technical stakeholders.
✨Be Ready for Technical Scoping Discussions
Familiarise yourself with the concept of technical scoping and be prepared to discuss how you would approach shaping feasible and scalable solutions for enterprise customers. Think about how you can contribute to both customer projects and internal initiatives, as this shows your versatility.
