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1 to 7 of 7 Prompt Engineering Jobs with Hybrid or WFH Options
Greater London, England, United Kingdom Hybrid / WFH Options Oxford Economics
External: Cloud providers Software vendors Skills and Experience: Required At least 4 years of software development experience across the product lifecycle in a modern engineering environment (APIs, CI/CD, Cloud infrastructure, Git, Agile, Scrum) Proficiency in programming languages: C#/Java and Python Commercial experience in the following … retrieval systems in general and how to use traditional IR tools and systems to monitor, measure, and optimize the results of our retrieval systems. Prompt engineering in the context of production applications, knowing the capabilities and limitations of LLMs, and having a good intuition of where and when … and distributed systems Understanding of data structures, algorithms, and software design principles Experience building and maintaining large-scale software systems Knowledge of modern software engineering practices (CI/CD, containerization) Comfortable working independently and handling ambiguity Skills and Experience: Desired University honours degree qualification preferably in Computer Science, Mathematics more »
United Kingdom Hybrid / WFH Options esure Group
or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time more »
London Area, United Kingdom Hybrid / WFH Options Opus Recruitment Solutions
I am currently looking to support a start-up client that is looking to improve their current ML and take ownership of the prompting moving forward. Ideally they are looking for an ML engineer with extensive exprience in the following more »
Reigate, England, United Kingdom Hybrid / WFH Options esure
or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time more »
England, United Kingdom Hybrid / WFH Options Pentasia
Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling, and query … resolution. Preferred Skills: Advanced prompt engineering techniques, including chain-of-thought, tree-of-thought, and active prompting. Experience in database management (SQL or No-SQL) for effective data handling. Familiarity with Docker for deploying scalable applications. more »
London Area, United Kingdom Hybrid / WFH Options Pentasia
Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling, and query … resolution. Preferred Skills: Advanced prompt engineering techniques, including chain-of-thought, tree-of-thought, and active prompting. Experience in database management (SQL or No-SQL) for effective data handling. Familiarity with Docker for deploying scalable applications. more »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options Pentasia
Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling, and query … resolution. Preferred Skills: Advanced prompt engineering techniques, including chain-of-thought, tree-of-thought, and active prompting. Experience in database management (SQL or No-SQL) for effective data handling. Familiarity with Docker for deploying scalable applications. more »
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