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- Tasks: Design and deploy NLP and LLM solutions for document workflows.
- Company: Join Avanti, a high-growth AI scale-up transforming document-intensive sectors.
- Benefits: Enjoy remote work, team meetups, and a culture of collaboration and learning.
- Why this job: Shape cutting-edge tech while solving real-world problems in a dynamic environment.
- Qualifications: 5+ years in ML with strong Python skills; experience in NLP and cloud deployment.
- Other info: Opportunity to influence the tech stack and future of the platform.
The predicted salary is between 84000 - 120000 £ per year.
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.
Company:
Avanti
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
Tagged as: Classification , Document Classification , Industry , NLP , OCR , United Kingdom
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Senior Machine Learning Engineer – Remote – NLP / LLM employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer – Remote – NLP / LLM
✨Tip Number 1
Network with professionals in the AI and machine learning community. Attend meetups, webinars, or conferences focused on NLP and LLMs to connect with potential colleagues and learn about industry trends.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects related to NLP or LLMs. This not only enhances your skills but also demonstrates your commitment to the field and can catch the attention of hiring managers.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges specifically in Python, focusing on algorithms and data structures relevant to machine learning. Familiarise yourself with common ML frameworks and libraries used in NLP.
✨Tip Number 4
Research the company’s recent projects and funding news. Understanding their goals and challenges will help you tailor your discussions during interviews and demonstrate your genuine interest in contributing to their mission.
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 5+ years of machine learning experience, particularly focusing on your skills in Python, NLP, and LLMs. Use specific examples from your past work that demonstrate your ability to design and deploy models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience with document classification and automated ML pipelines, and how you can contribute to their mission of transforming document-intensive sectors.
Showcase Relevant Projects: If you have worked on projects involving GenAI techniques or cloud-native deployments, be sure to include these in your application. Highlight any experience with OCR or document layout modelling, as this is particularly relevant to the role.
Highlight Collaboration Skills: Since the role involves working with product, infrastructure, and compliance teams, emphasise your ability to collaborate effectively. Provide examples of how you've successfully worked in cross-functional teams to deliver results in previous roles.
How to prepare for a job interview at NLP PEOPLE
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, NLP, and LLMs in detail. Bring examples of projects you've worked on, especially those involving document classification and key data extraction, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Vision
Research Avanti and their focus on transforming document-intensive sectors. Be ready to articulate how your skills align with their mission and how you can contribute to building impactful GenAI products.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when designing ML pipelines or integrating models into backend systems, as this will highlight your engineering mindset.
✨Demonstrate Collaboration Skills
Since the role involves working with various teams, be ready to discuss your experience collaborating with product, infrastructure, and compliance teams. Share examples of how you’ve successfully worked in a team environment to deliver results.
