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- Tasks: Analyse data, develop models, and enhance AI solutions in a collaborative environment.
- Company: AI71 is an innovative research team focused on responsible AI for knowledge workers.
- Benefits: Enjoy a full-time role with opportunities for growth and cutting-edge technology exposure.
- Why this job: Join us to redefine industries and make a transformative impact with AI.
- Qualifications: 5+ years in AI or Data Science; Master's or Ph.D. preferred; strong programming skills required.
- Other info: Ideal for those with competitive programming accolades and a passion for real-world problem-solving.
The predicted salary is between 43200 - 72000 £ per year.
AI71 is an applied research team dedicated to creating helpful and responsible AI agents for knowledge workers. Working closely with our industry partners, our cross-functional teams of AI experts build products grounded in the cutting edge research of our colleagues from the Technology Innovation Institute (TII).
Are you a seasoned ML &/OR Data Scientist with a passion for AI and a track record of harnessing the power of data, developing algorithms and models to extract valuable insights, and helping us fuel the intelligence of our AI solutions? As our Data Scientist at AI71, you will play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact.
What You’ll Do:
- Analyse large and complex datasets to extract meaningful insights and inform data-driven decision-making.
- Develop, train, and deploy predictive models to enhance the capabilities of our AI solutions.
- Work on and apply cutting-edge AI technologies to business contexts, e.g. Large Language Model (LLM) or Retrieval-Augmented Generation (RAG).
- Collaborate with cross-functional teams to understand business objectives and translate them into actionable data science tasks.
- Continuously evaluate and improve existing models based on real-world performance and evolving business needs.
- Implement and maintain data preprocessing pipelines to ensure the quality and reliability of input data.
- Stay abreast of advancements in machine learning and data science techniques, applying them to improve model accuracy.
- Communicate findings and insights effectively to both technical and non-technical stakeholders.
What You’ll Bring:
- 5+ years of experience in AI, Machine Learning, RL, data science or a related field.
- Familiarity and proven experience in using LLMs/ fine-tuning LLMs.
- Master's or Ph.D. in AI, Data Science, Statistics, Computer Science, or a related field.
- Proficient in programming languages such as Python or R. Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.
- Strong analytical and statistical modeling skills.
- Experience with machine learning (Generative AI) frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Langchain, Weaviate, Langgraph, LlamaIndex).
- Proven track record of applying data science to solve real-world problems.
- Excellent communication and collaboration skills.
Why AI71:
- Proven performance of our large language models.
- Strong traction and adoption from the open-source community.
- Secured proprietary data to build specialized distinctive models.
- Locked large compute power to support our roadmap.
- Signed anchor clients, to develop POCs and demonstrate our solutions.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Technology, Information and Internet
Machine Learning Engineers - GenAI [UAE Based] (Greater London) employer: AI71
Contact Detail:
AI71 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineers - GenAI [UAE Based] (Greater London)
✨Tip Number 1
Network with professionals in the AI and machine learning field. Attend industry meetups, webinars, or conferences where you can connect with potential colleagues or mentors who might provide insights into our company culture and the specific skills we value.
✨Tip Number 2
Showcase your hands-on experience with large language models (LLMs) by discussing relevant projects during interviews. Be prepared to explain how you've fine-tuned LLMs or applied them in real-world scenarios, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 3
Stay updated on the latest advancements in machine learning and generative AI. Follow influential researchers and organisations in the field, and be ready to discuss recent breakthroughs or trends that could impact our work at AI71.
✨Tip Number 4
Prepare to communicate complex technical concepts clearly to non-technical stakeholders. Practice explaining your past projects and findings in a way that highlights their business impact, as effective communication is key to collaboration in our cross-functional teams.
We think you need these skills to ace Machine Learning Engineers - GenAI [UAE Based] (Greater London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI, Machine Learning, and data science. Focus on relevant projects, especially those involving LLMs or Generative AI, and quantify your achievements where possible.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the role. Mention specific projects or experiences that align with the job description, and explain how you can contribute to AI71's mission.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages like Python or R, and your experience with machine learning frameworks. Include any relevant competitions or awards to demonstrate your expertise.
Prepare for Interviews: If selected for an interview, be ready to discuss your previous work in detail. Prepare to explain your approach to data analysis, model development, and how you've collaborated with cross-functional teams in the past.
How to prepare for a job interview at AI71
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow or PyTorch. Bring examples of projects where you've developed and deployed predictive models, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research AI71 and its industry partners before the interview. Be ready to explain how your data science skills can directly contribute to their business objectives, especially in relation to Generative AI technologies.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. Since you'll be communicating with both technical and non-technical stakeholders, being able to convey your findings effectively is crucial.
✨Stay Updated on Trends
Familiarise yourself with the latest advancements in machine learning and AI. Mention any recent developments or techniques you've applied in your work, showing that you're proactive about staying current in the field.
