At a Glance
- Tasks: Design, build, and deploy LLM-based applications in a fast-paced environment.
- Company: Join a respected software engineering firm focused on advanced AI solutions.
- Benefits: Enjoy a competitive salary, bonus, pension, private healthcare, and 25 days holiday.
- Other info: Leadership opportunities available as the company rapidly expands.
- Why this job: Make a tangible impact with cutting-edge AI technology in a dynamic team.
- Qualifications: Masters or PhD in STEM, with 3+ years of hands-on AI/ML experience.
The predicted salary is between 85000 - 106250 £ per year.
Guildford, Surrey (Fully Onsite) £85,000
Interested in this role? You can find all the relevant information in the description below.
- £125,000 + 25% Bonus, 10% Pension, Private Medical.
- Must have a Masters or PhD Degree in a STEM/Computing discipline.
- Must work full-time, 5 days a week in the Guildford office.
- Must have deep experience in LLM development and deployment.
Your new company: You'll be joining a fast-growth, highly respected software engineering business that applies advanced modelling, data science, and machine learning to solve complex, real-world problems at scale. Their technology underpins critical decision-making in high-value environments, combining deep domain expertise with modern engineering practices. With a strong track record of success and a growing international footprint, the company is investing heavily in AI as a core pillar of its future. You will be working full-time in their head office location in the heart of Guildford close to the University and with excellent transport to London and the surrounding areas in Surrey.
Your new role: The key to this role is hands-on experience designing, building, and deploying LLM-based applications into production environments. We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role, nor is it a pure coding role - it sits in between the two disciplines as part of a newly formed team within an R&D department helping to instil best practice. You'll have the opportunity to influence how AI capability is embedded into a well-established product suite, balancing greenfield innovation with enhancing existing platforms. Working across structured, unstructured and streaming data, you'll contribute to modern AI approaches and help shape how data drives product capability. It's a well-established business with decades of experience taking them a market leading position. Building on an impressive 2024 they pushed towards 100 headcount and have the investment and product positioning to double this in the coming 12 months, with a particular focus on the Engineering team. Given this imminent growth there are leadership opportunities to aspire to down the line. It's genuinely challenging applied AI in a complex domain. If you're motivated by seeing your work have tangible impact in production, this is an opportunity to operate at a level most roles don't offer.
What you'll need to succeed: This role requires existing Senior level experience in AI/ML roles, 3+ years working hands-on experience designing, building, and deploying LLM-based applications into production environments, not just experimentation. You must have proven experience working with C++/C# (ideally integrating ML features into C++ applications), and at least one high-level scientific language (e.g., Python, Julia) working at the interface of research and software development. You will possess strong technical leadership skills and will be motivated to drive engineering best practices and standards. You must have an advanced Degree in a STEM/Computing discipline and ideally a background in scientific computing, time-series data, or complex data environments.
What you'll get in return: You'll work for a technology focused company building innovative products. There's an excellent rewards scheme in place including an annual bonus up to 25%, 10% pension match, private healthcare, 25 days holiday and long term sick cover. There is parking on site or a shuttle bus for train commuters to Guildford and a modern office space with excellent amenities.
What you need to do now: To find out more and to be considered for this position please apply directly, or contact Max Wilcock, Senior Business Director.
Senior AI/ML Engineer (LLM's / RAG Pipeline Development) in Guildford employer: Hays Specialist Recruitment Limited
Join a fast-growing, highly respected software engineering firm in Guildford, where innovation meets real-world problem-solving. With a strong focus on AI and machine learning, the company offers an excellent work culture that fosters collaboration and professional growth, alongside competitive benefits including a generous bonus scheme, pension contributions, and private healthcare. As part of a dynamic team, you'll have the opportunity to influence cutting-edge technology while enjoying a modern office environment with great transport links to London.
Contact Details:
Hays Specialist Recruitment Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI/ML Engineer (LLM's / RAG Pipeline Development) in Guildford
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio of your LLM projects and any relevant work you've done. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience with C++/C# and how you've successfully deployed LLM applications in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI/ML Engineer (LLM's / RAG Pipeline Development) in Guildford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with LLM development and deployment. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Since this role requires hands-on experience, make sure to detail your proficiency in C++/C# and any high-level scientific languages like Python. We’re keen to see how you’ve integrated ML features into applications in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy – just follow the prompts and you’ll be on your way!
How to prepare for a job interview at Hays Specialist Recruitment Limited
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and their deployment. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your hands-on experience and understanding of the technology.
✨Showcase Your Coding Skills
Since this role requires proficiency in C++/C# and a high-level scientific language like Python, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain how you've integrated ML features into applications. Practise coding challenges beforehand to boost your confidence.
✨Highlight Your Leadership Experience
This position values strong technical leadership skills. Be prepared to share examples of how you've driven engineering best practices in previous roles. Discuss any mentoring or team-leading experiences that showcase your ability to influence and guide others in a technical environment.
✨Understand the Company’s Vision
Research the company’s focus on AI and its impact on their product suite. Be ready to discuss how you can contribute to their goals and what innovative ideas you might bring to the table. Showing that you align with their vision will set you apart from other candidates.