Machine Learning Engineer [Abu Dhabi] in London

Machine Learning Engineer [Abu Dhabi] in London

London Full-Time 60000 - 80000 € / year (est.) No home office possible
AI71

At a Glance

  • Tasks: Develop and optimise machine learning models to power innovative AI solutions.
  • Company: Join AI71, a leader in artificial intelligence based in Abu Dhabi.
  • Benefits: Competitive salary, relocation support, flexible working environment, and career growth opportunities.
  • Other info: Collaborative culture focused on innovation and responsibility.
  • Why this job: Make a real-world impact with cutting-edge AI technologies and a passionate team.
  • Qualifications: Master’s or Ph.D. in relevant fields and 5+ years of AI experience.

The predicted salary is between 60000 - 80000 € per year.

Please be aware this position will be based in Abu Dhabi. Full relocation support will be provided. This is NOT a remote position.

About AI71: AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges based in Abu Dhabi. AI71 builds secure, enterprise-ready applications powered by cutting‑edge technology—tailored for knowledge workers and sector‑specific needs. AI71 bridges the gap between advanced AI and real‑world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.

The Role: As a Machine Learning Engineer at AI71, you’ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross‑functional teams to translate business challenges into impactful AI products.

What You’ll Do:

  • Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
  • AI Technologies: Work with state‑of‑the‑art AI techniques, including Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG), and apply them to real‑world business contexts.
  • Cross‑Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine‑learning tasks.
  • Model Optimization: Continuously monitor, evaluate, and improve models based on real‑world performance and evolving business needs.
  • Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high‑quality, reliable input data for model development.

What You’ll Bring:

  • Master’s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
  • 5+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.
  • Proven experience with Large Language Models (LLMs) and parameter‑efficient fine‑tuning methods (LoRA, QLoRA, etc.) techniques.
  • Strong proficiency in programming languages like Python.
  • Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
  • Experience in building and deploying LLM‑powered applications using FastAPI/Flask and Streamlit for front‑end interfaces, solid understanding of REST principles, HTTP Methods, websockets and API lifecycle management.
  • Expertise in machine learning frameworks (e.g., scikit‑learn, TensorFlow, PyTorch) and libraries like Langchain, Langgraph, LlamaIndex.
  • Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search.
  • Demonstrated success in applying data science and machine learning to solve real‑world, business‑critical problems.
  • Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.
  • Strong communication, stakeholder management, and decision‑making skills, with a passion for building diverse, inclusive engineering teams.

Why AI71:

  • Mission-Driven Work: Work on cutting‑edge AI applications with a talented and passionate team, solving real‑world challenges in critical sectors.
  • Unparalleled Opportunity: This is a chance to innovate and solve real‑world challenges using AI at a company with unique access to world‑leading models and resources.
  • Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
  • World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.

Machine Learning Engineer [Abu Dhabi] in London employer: AI71

AI71 is an exceptional employer located in Abu Dhabi, offering a dynamic work environment where innovation meets real-world impact. With a strong commitment to employee growth, competitive compensation, and unparalleled access to cutting-edge AI technologies, team members are empowered to tackle complex challenges alongside a passionate and diverse group of professionals. The company's mission-driven culture fosters collaboration and creativity, making it an ideal place for those looking to make a meaningful contribution in the field of artificial intelligence.

AI71

Contact Detail:

AI71 Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer [Abu Dhabi] in London

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, conferences, or even online webinars. You never know who might have a lead on that perfect Machine Learning Engineer role at AI71.

Show Off Your Skills

Create a portfolio showcasing your projects, especially those involving LLMs and machine learning frameworks. Share it on platforms like GitHub and make sure to highlight your coding competitions if you’ve got them!

Ace the Interview

Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get into the groove. Remember, confidence is key!

Apply Through Our Website

Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team at AI71.

We think you need these skills to ace Machine Learning Engineer [Abu Dhabi] in London

Machine Learning
Large Language Models (LLMs)
Reinforcement Learning (RL)
Data Science
Python
FastAPI
Flask

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with AI technologies, especially Large Language Models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for AI71. Don’t forget to mention your collaborative spirit and how you can contribute to our mission-driven work.

Showcase Your Projects:If you've worked on any machine learning projects, make sure to showcase them in your application. Whether it's through GitHub links or project descriptions, we love seeing practical examples of your work and how you've tackled real-world challenges.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're genuinely interested in joining our team at AI71!

How to prepare for a job interview at AI71

Know Your Models Inside Out

Make sure you can discuss the machine learning models you've worked on in detail. Be prepared to explain how you developed, trained, and optimised them, especially if they involve Large Language Models or other advanced techniques. This shows your depth of knowledge and hands-on experience.

Showcase Your Collaboration Skills

Since the role involves cross-functional collaboration, be ready to share examples of how you've worked with different teams. Highlight any experiences where you translated business challenges into actionable tasks, as this will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.

Brush Up on Your Coding Skills

Given the preference for candidates with a competitive coding background, it’s a good idea to practice coding problems, especially in Python. Familiarise yourself with frameworks like FastAPI or Flask, and be ready to discuss how you've used them in past projects.

Prepare Questions About AI71's Mission

Research AI71’s mission and recent projects. Prepare thoughtful questions that show your interest in their work and how you can contribute to their goals. This not only demonstrates your enthusiasm but also helps you assess if the company aligns with your values.