Machine Learning Internships in UK: January 2024

Machine Learning Internships in UK: January 2024

10 machine learning internships in the UK to apply for in January 2024

Machine learning is one of the most sought-after skills in the modern world, as it enables computers to learn from data and perform tasks that would otherwise require human intelligence.

1. NLP And LLM Bootcamp (Online – Part-Time) – Gain Your First Hands-On Experience As an AI/Machine Learning Engineer at Moyyn: This is a part-time online internship that will teach you the basics of natural language processing and large language models, such as GPT-3 and BERT. You will work on real-world projects and gain valuable skills and experience as a machine learning engineer.

2. Machine Learning Engineer at Data Science Festival: This is a full-time internship in Manchester that will involve developing and deploying machine learning models for various data science challenges. You will work with a team of experts and use cutting-edge tools and frameworks, such as TensorFlow, PyTorch, and AWS.

3. Machine Learning Engineer – London – £70K In EC1, UK at Energy Jobline: This is a full-time internship in London that will require you to design and implement machine learning solutions for the energy sector. You will work with large and complex datasets and use advanced techniques, such as deep learning, computer vision, and natural language processing.

4. Simplify Bitcoin Strategy PLUS Inc ETF (MAXI) at Simplify Asset Management: This is a full-time internship in New York that will involve researching and developing machine learning strategies for investing in Bitcoin and other cryptocurrencies. You will use Python, R, and SQL to analyze market data and trends and optimize portfolio performance.

5. Global X Blockchain & Bitcoin Strategy ETF (BITS) at Global X ETFs: This is a full-time internship in New York that will involve applying machine learning and data science to the blockchain and Bitcoin industry. You will use Python, Spark, and Hadoop to process and visualize large-scale data and build predictive models and algorithms.

6. ProShares Short Bitcoin ETF (BITI) at ProShares: This is a full-time internship in Bethesda that will involve developing and testing machine learning models for shorting Bitcoin and other cryptocurrencies. You will use Python, MATLAB, and C++ to implement and evaluate machine learning techniques, such as reinforcement learning, neural networks, and genetic algorithms.

7. Invesco Bitcoin Strategy ETF (BKTF) at Invesco: This is a full-time internship in Atlanta that will involve creating and maintaining machine learning models for tracking and trading Bitcoin and other digital assets. You will use Python, R, and SAS to perform data analysis and machine learning and use cloud platforms, such as Azure and AWS, to deploy and monitor models.

8. Fidelity Bitcoin Strategy ETF (FBTC) at Fidelity Investments: This is a full-time internship in Boston that will involve developing and enhancing machine learning models for investing in Bitcoin and other cryptocurrencies. You will use Python, Java, and Scala to build and optimize machine learning pipelines and use frameworks, such as TensorFlow, Keras, and PySpark, to implement deep learning models.

9. WisdomTree Bitcoin Trust (BTCW) at WisdomTree Investments: This is a full-time internship in New York that will involve researching and applying machine learning methods to the Bitcoin and blockchain space. You will use Python, R, and MATLAB to conduct data mining and machine learning and use tools, such as Tableau, Power BI, and D3.js, to create dashboards and visualizations.

 10. Grayscale Bitcoin Trust (GBTC) at Grayscale Investments: This is a full-time internship in New York that will involve supporting and improving machine learning models for managing and trading Bitcoin and other digital currencies. You will use Python, SQL, and Excel to perform data analysis and machine learning, and use platforms, such as Bloomberg, CoinMarketCap, and CoinDesk, to access and monitor market data.

Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.

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