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- Tasks: Design and deploy cutting-edge AI systems that make a real-world impact.
- Company: Join a fast-growing tech company revolutionising professional services with AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and shape the future of technology.
- Qualifications: Experience in machine learning and LLM systems, with strong problem-solving skills.
- Other info: Dynamic start-up environment that values initiative and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
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Overview
Pricing & Machine Learning Talent – DACH – Fully SECO & AUG Licensed | Member of Swiss Staffing Association & APSCo Deutschland Trinnovo | B Corp™
A fast-growing technology business is developing advanced software for accounting, payroll, tax, and practice management. With a strong engineering foundation and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional services operate.
They are seeking a Senior Machine Learning / LLM Engineer to take ownership of LLM operations, multi-agent orchestration, and production-level AI integration across their product suite. This is a key role for an experienced engineer who can deliver real-world AI systems at scale.
Responsibilities
The Role
The successful candidate will design, deploy, and maintain production-grade AI and LLM systems, ensuring stability, scalability, and measurable impact. This position suits someone with solid experience in deploying and managing live AI systems rather than proofs of concept.
- Developing and maintaining the organisation’s LLM operations platform, including orchestration and observability.
- Designing and deploying AI solutions using Langfuse, LiteLLM, OpenAI, and Azure OpenAI.
- Working closely with engineering teams to embed AI capabilities within core products.
- Implementing and integrating knowledge graph systems such as Neo4j.
- Working within Kubernetes, .NET/C#/SQL or PHP/Laravel/MySQL environments.
- Supporting architectural design, scalability, and model performance.
- Contributing to the wider AI strategy and platform direction.
Candidate Profile
The ideal candidate is a practical problem-solver with strong technical judgement, comfortable working in a fast-moving, start-up style setting. They combine solid engineering skills with the ability to think strategically about architecture and commercial outcomes.
Essential experience and skills
- Demonstrable production experience with LLM and machine learning systems.
- Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI.
- Familiarity with graph databases, ideally Neo4j.
- Experience in cloud environments, containerisation, and CI/CD pipelines.
- Strong background in either .NET/C#/SQL or PHP/Laravel/MySQL.
- Ability to solve complex problems under uncertainty and deliver quickly.
- Clear communication and teamwork skills.
Cultural Fit
This environment rewards initiative, optimism, and pace. The team values people who are commercially aware, collaborative, and capable of shipping production systems rapidly. A positive outlook and a drive to find solutions are essential.
Why Apply
This is an opportunity to join a forward-thinking technology business that is leading the integration of AI within a critical sector. The successful applicant will work with talented colleagues, apply modern tools, and see their work directly influence product innovation and customer success.
Confidential search – further details are available upon request.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
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Senior Machine Learning Engineer employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at DeepRec.ai. A friendly message on LinkedIn can go a long way. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding the company’s AI vision. We recommend practising common machine learning scenarios and being ready to discuss your past projects. Show them you’re the perfect fit!
✨Tip Number 3
Don’t forget to showcase your problem-solving skills! During interviews, be ready to tackle hypothetical challenges. We want to see how you think on your feet and approach complex issues, especially in a fast-paced environment.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you that Senior Machine Learning Engineer role!
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with LLM and machine learning systems, and don’t forget to mention any hands-on work with Langfuse or OpenAI. 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! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it concise but engaging – we love a good story that showcases your problem-solving skills.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s deploying AI systems or working with graph databases like Neo4j, we want to see your practical experience in action. It helps us understand your capabilities better!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there, which can help you tailor your application even more!
How to prepare for a job interview at DeepRec.ai
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Langfuse, LiteLLM, and Azure OpenAI. Brush up on your knowledge of graph databases, especially Neo4j, and be ready to discuss how you've used these tools in real-world applications.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to solve complex problems under uncertainty. Think of specific challenges you've faced in deploying AI systems and how you overcame them. This will demonstrate your practical experience and strategic thinking.
✨Communicate Clearly and Collaboratively
Since teamwork is key in this role, practice articulating your thoughts clearly. Be ready to discuss how you’ve collaborated with engineering teams in the past to embed AI capabilities into products. Good communication can set you apart from other candidates.
✨Embrace the Company Culture
Research DeepRec.ai’s values and culture. They appreciate initiative, optimism, and a fast-paced work ethic. During the interview, express your enthusiasm for working in a dynamic environment and share how your positive outlook aligns with their team spirit.
