At a Glance
- 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.
- Other info: Dynamic start-up environment that values initiative and collaboration.
- 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.
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 in Warwick employer: DeepRec.ai
DeepRec.ai is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and technology. Located in Warwick, the company offers a collaborative environment where employees are encouraged to take initiative and contribute to meaningful projects, with ample opportunities for professional growth and development. Joining DeepRec.ai means being part of a forward-thinking team that values creativity and impact, making it an ideal place for talented individuals looking to make a difference in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in Warwick
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior Machine Learning Engineer in Warwick
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at DeepRec.ai.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at DeepRec.ai and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
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How to prepare for a job interview at DeepRec.ai
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If DeepRec.ai uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
