Staff ML Engineer (LLMS, NLP)
Staff ML Engineer (LLMS, NLP)

Staff ML Engineer (LLMS, NLP)

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Go Premium
D

At a Glance

  • Tasks: Design and deploy advanced LLM-powered applications for our Payroll products.
  • Company: Join Deel, a global leader in payroll and HR solutions.
  • Benefits: Enjoy competitive pay, stock options, and flexible remote work.
  • Why this job: Make a massive impact with cutting-edge AI technology in a diverse team.
  • Qualifications: 12+ years in engineering, with expertise in Python and LLM applications.
  • Other info: Be part of a connected culture that fosters innovation and learning.

The predicted salary is between 36000 - 60000 £ per year.

Join to apply for the Staff ML Engineer (LLMS, NLP) role at Deel

Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.

Among the largest globally distributed companies in the world, our team of 6,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.

Why should you be part of our success story? As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We\’re not just building software; we\’re creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy.

Get ready to:

  • Design and deploy advanced LLM-powered applications that support our Payroll product lines and operations.
  • Lead architecture decisions, cost optimization, and observability efforts for mission-critical AI workflows.
  • Collaborate with ML researchers, product managers, and application engineers.
  • Create massive impact by doing ground breaking work in an already high-scale product.

You’ll bring:

  • 12+ years of engineering experience, with a strong focus on system design
  • At least 1.5 years building production-grade LLM applications
  • Python expertise for AI/ML development
  • Node.js familiarity for integration with application teams
  • Deep experience with vector databases (Pinecone, Weaviate, etc.)
  • Prompt engineering, LLM API integration, and system reliability patterns
  • Observability tooling for AI systems
  • Hands-on experience (2+ years) in implementing research and algorithms in Python, specifically in information retrieval, text processing, NLP, LLMs, and machine learning

Bonus if you have:

  • RAG implementations, agentic workflows, LangChain/CrewAI
  • Cost tracking and optimization for AI/LLM infra
  • Pre-LLM ML/deep learning experience
  • Multimodal system exposure

Total Rewards Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.

Some things you’ll enjoy

  • Stock grant opportunities dependent on your role, employment status and location
  • Additional perks and benefits based on your employment status and country
  • The flexibility of remote work, including optional WeWork access

At Deel, we’re an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.

Deel is an equal-opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives. Deel will provide accommodation on request throughout the recruitment, selection and assessment process for applicants with disabilities.

#J-18808-Ljbffr

Staff ML Engineer (LLMS, NLP) employer: Deel

Deel is an exceptional employer that champions innovation and inclusivity, offering a dynamic work culture where employees can thrive in their careers. With a commitment to employee growth, Deel provides opportunities for professional development and the flexibility of remote work, allowing you to make a significant impact on a global scale while enjoying competitive benefits and stock grant opportunities. Join a diverse team that spans over 100 countries and be part of a mission-driven company that unlocks global opportunities for all.
D

Contact Detail:

Deel Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Staff ML Engineer (LLMS, NLP)

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repo showcasing your LLM projects. This gives potential employers a taste of what you can do beyond the application.

✨Tip Number 3

Prepare for interviews by practising common ML questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Staff ML Engineer (LLMS, NLP)

System Design
LLM Application Development
Python for AI/ML Development
Node.js Integration
Vector Databases (Pinecone, Weaviate)
Prompt Engineering
LLM API Integration
Observability Tooling for AI Systems
Information Retrieval
Text Processing
Natural Language Processing (NLP)
Machine Learning
Cost Tracking and Optimization for AI/LLM Infrastructure
RAG Implementations
Agentic Workflows

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Staff ML Engineer role. Highlight your expertise in LLM applications, Python, and system design to catch our eye!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background aligns with our mission at Deel. Share specific examples of your work that demonstrate your impact in previous roles.

Showcase Your Projects: If you've worked on any relevant projects, especially those involving LLMs or NLP, make sure to include them in your application. We love seeing real-world applications of your skills!

Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures you’re considered for the role you’re excited about!

How to prepare for a job interview at Deel

✨Know Your LLMs Inside Out

Make sure you brush up on your knowledge of large language models (LLMs) and their applications. Be ready to discuss your experience with building production-grade LLM applications, as well as any specific projects you've worked on that relate to NLP and AI.

✨Showcase Your System Design Skills

Since the role requires strong system design expertise, prepare to talk about your past experiences in designing scalable systems. Think of examples where you made architecture decisions or optimised costs for AI workflows, and be ready to explain your thought process.

✨Familiarise Yourself with the Tech Stack

Get comfortable with Python and Node.js, as well as vector databases like Pinecone or Weaviate. If you have experience with observability tooling for AI systems, make sure to highlight that too. Being able to discuss these technologies will show you're a great fit for the team.

✨Prepare for Collaborative Scenarios

Collaboration is key in this role, so think about how you've worked with ML researchers, product managers, and application engineers in the past. Be ready to share examples of how you contributed to team projects and how you can bring that collaborative spirit to Deel.

Staff ML Engineer (LLMS, NLP)
Deel
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

D
  • Staff ML Engineer (LLMS, NLP)

    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-10-09

  • D

    Deel

Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>