At a Glance
- Tasks: Optimise machine learning systems and enhance AI predictive capabilities.
- Company: Join Token Metrics, a leader in AI-driven crypto investment solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make an impact in the exciting world of crypto with cutting-edge technology.
- Qualifications: Bachelor's degree in relevant field and 2+ years of ML engineering experience.
The predicted salary is between 60000 - 80000 £ per year.
Token Metrics is searching for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
As a machine learning engineer, you should demonstrate solid data science knowledge and experience. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive models.
Responsibilities
- Consulting with the manager to determine and refine machine learning objectives.
- Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
- Transforming data science prototypes and applying appropriate ML algorithms and tools.
- Ensuring that algorithms generate accurate user recommendations.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Stress testing, performing statistical analysis, and interpreting test results for all market conditions.
- Documenting machine learning processes.
- Keeping abreast of developments in machine learning.
Requirements
- Bachelor's degree in computer science, data science, mathematics, or a related field.
- Master's degree in computational linguistics, data science, data analytics, or similar will be advantageous.
- At least two years' experience as a machine learning engineer.
- Advanced proficiency with Python, Java, and R code.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- LLM fine-tuning experience and working with LLM Observability.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- Great communication and collaboration skills.
- Excellent time management and organizational abilities.
- Experience with crypto or web3 projects.
Token Metrics helps crypto investors build profitable portfolios using artificial intelligence based crypto indices, rankings, and price predictions. Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.
Crypto Data Scientist Machine Learning LLM Engineer Global in London employer: Unchain Data
Token Metrics is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Crypto Data Scientist Machine Learning LLM Engineer. With a commitment to employee growth, the company offers opportunities to work on cutting-edge AI technologies in the rapidly evolving crypto space, alongside a diverse team of experts. Located in a dynamic industry, Token Metrics provides a stimulating environment where your contributions directly impact the success of investors worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Crypto Data Scientist Machine Learning LLM Engineer Global in London
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto and machine learning space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to crypto. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. Be ready to discuss how you've tackled complex data problems in the past—real examples go a long way!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining Token Metrics. Plus, it makes tracking your application easier for us!
We think you need these skills to ace Crypto Data Scientist Machine Learning LLM Engineer Global in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Crypto Data Scientist. Highlight your experience with machine learning, data science, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Skills:In your application, don't just list your qualifications—show us how you've applied them! Include specific examples of ML algorithms you've developed or optimised, especially in the context of predictive models. This will help us see your practical experience.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you articulate your passion for machine learning and how you can contribute to our team without rambling on.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team at Token Metrics!
How to prepare for a job interview at Unchain Data
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss specific frameworks and libraries you've worked with, especially in Python, Java, and R. They’ll want to see how your knowledge translates into real-world applications.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've solved using multi-layered data sets. Have examples ready that demonstrate your analytical abilities and how you optimised existing ML processes. This will show them you can think critically under pressure.
✨Stay Current with Trends
Token Metrics is all about innovation, so make sure you're up-to-date with the latest developments in machine learning and AI. Mention any recent advancements or tools you've explored, especially those related to LLM fine-tuning and observability.
✨Communicate Clearly
Since great communication skills are a must, practice explaining complex technical concepts in simple terms. Be prepared to discuss how you collaborate with teams and consult with managers to refine objectives. This will highlight your teamwork and organisational skills.
