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- Tasks: Design and deploy NLP and LLM solutions for document workflows.
- Company: Join a high-growth, AI-first scale-up transforming document-intensive sectors.
- Benefits: Enjoy fully remote work, team meetups, and stock options.
- Why this job: Make a real-world impact with cutting-edge technology in a collaborative culture.
- Qualifications: 5+ years of ML experience, strong Python skills, and familiarity with NLP and LLMs.
- Other info: Opportunity to shape the tech stack and future of the platform.
The predicted salary is between 72000 - 168000 £ per year.
Job Description
Senior Machine Learning Engineer – Fully Remote UK (London)
Location: Remote (UK-based preferred)
Salary: Up to £120,000 base stock options
Type: Permanent | Full-Time
Start Date: September 2025 ideally
Join a high-growth, AI-first scale-up transforming one of the world’s most document-intensive sectors. Backed by recent multi-million-pound funding and led by senior technologists from tech unicorns, this is an opportunity to build real-world GenAI products that make a measurable impact.
We’re looking for a Senior Machine Learning Engineer to build and deploy production-grade NLP and LLM solutions. You’ll work with high-value, sensitive data and play a key role in the automation of complex document workflows that support global commerce.
What You’ll Do
• Design and deploy LLM and transformer-based models for document classification and key data extraction
• Build automated ML pipelines for model training, testing, and deployment
• Engineer robust APIs and integrate models into scalable backend systems
• Experiment with GenAI techniques and fine-tuning strategies
• Collaborate with product, infrastructure, and compliance teams to deliver real-world results
What We’re Looking For
• 5+ years' ML experience with strong Python skills
• Experience with NLP, LLMs, and prompt engineering
• Familiarity with LangChain, Semantic Kernel, or AutoGen
• OCR/document layout modelling experience
• Cloud-native deployment experience (AWS, Azure, or GCP)
• Strong engineering mindset – writing production-grade, scalable code
Bonus Points For
• Experience in fintech, legal tech, insurance or regulated environments
• Understanding of document-heavy workflows
• Ability to take ownership and work autonomously in a fast-paced environment
Why Join Us
• High-growth company
• Fully remote with London meetups and meals out for those who enjoy meeting in person
• Team of top-tier talent, passionate about doing things properly
• Opportunity to shape both the tech stack and the future of the platform
• Culture of ownership, collaboration and continuous learning
If you're a strong ML engineer who thrives in real-world problem solving, please APPLY TODAY.
Senior Machine Learning Engineer - Remote - NLP / LLM employer: Avanti
Contact Detail:
Avanti Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer - Remote - NLP / LLM
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and LLM technologies. Being well-versed in current trends and tools like LangChain or Semantic Kernel can give you an edge during discussions with our team.
✨Tip Number 2
Showcase your experience with cloud-native deployments, particularly on platforms like AWS, Azure, or GCP. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Tip Number 3
Prepare to demonstrate your engineering mindset by discussing how you've written production-grade, scalable code in previous roles. Real-world examples will help illustrate your problem-solving skills.
✨Tip Number 4
Engage with our company culture by researching our values and recent projects. Showing that you align with our mission and are excited about contributing to a high-growth environment can make a strong impression.
We think you need these skills to ace Senior Machine Learning Engineer - Remote - NLP / LLM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, particularly with NLP and LLMs. Include specific projects or achievements that demonstrate your skills in building and deploying models.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role. Mention how your background aligns with the company's mission to transform document-intensive sectors using AI.
Showcase Technical Skills: In your application, emphasise your proficiency in Python and any experience with tools like LangChain or Semantic Kernel. Providing examples of your work with cloud-native deployments can set you apart.
Highlight Collaboration Experience: Since the role involves working with various teams, include examples of past collaborations. Discuss how you've worked with product, infrastructure, or compliance teams to deliver successful projects.
How to prepare for a job interview at Avanti
✨Showcase Your Technical Skills
Be prepared to discuss your experience with NLP, LLMs, and prompt engineering in detail. Bring examples of projects you've worked on, especially those involving document classification and key data extraction.
✨Demonstrate Your Problem-Solving Ability
Expect questions that assess your approach to real-world problems. Think about how you would tackle complex document workflows and be ready to explain your thought process clearly.
✨Familiarise Yourself with Relevant Tools
Make sure you know the ins and outs of tools like LangChain, Semantic Kernel, or AutoGen. Being able to discuss how you've used these tools in past projects will set you apart from other candidates.
✨Emphasise Collaboration and Ownership
This role requires working closely with various teams. Be ready to share examples of how you've collaborated in the past and how you take ownership of your work, especially in fast-paced environments.
