Senior Software Engineer – Prompting | LLMs | Gen AI £100-£120,000 per annum plus stock options London Python | Gen AI | LLMs | PromptEngineering Are you a Senior Software Engineer with knowledge of large language models and promptengineering? Are you passionate about the possibilities of generative AI … start-up to hire several Software Engineers who will be using generative AI, large language models (LLMs) and prompting techniques to revolutionise the software engineering process. The Founders have hugely impressive backgrounds from top tech companies and have successfully scaled multiple start-ups. The product uses generative AI to … provide end-to-end automation for everyone involved in the complex product engineering lifecycle. This is more than code generation/reviews! As a Senior Software Engineer, you will have autonomy to find elegant solutions to highly technical problems using your knowledge of promptengineering and LLMs. more »
Senior Python Developer - PromptEngineering Salary up to £120k plus Equity and Excellent Benefits Senior Python Developer (Django, ML, AWS) – We are actively seeking a Senior Python Developer to join our $2m seed funded start-up. You will be joining our growing team of multicultural engineers. You will … Developer an environment which is perfect for a true technologist. You will be surrounded by individuals just like yourself. You will gain experience with promptengineering and strengthen your software engineering, within the AI industry. Apply now for immediately consideration for this excellent Senior Python Developer opportunity more »
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. Promptengineering 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 »
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 promptengineering 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 »
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 promptengineering 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 promptengineering 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 »
you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and promptengineering, semantic search, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD … Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is … essential with a preference for AWS Knowledge in several of the following will be advantageous: AI/ML approaches to problems in Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques more »
you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and promptengineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/… Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is … strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques more »
analysis, and infrastructure debugging. Implement Infrastructure as Code using tools like Terraform or CloudFormation. Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field or equivalent experience. Solid experience with MLOps practices, deploying on multiple GPUs, and managing scalable systems. Proficiency in Kubeflow, Docker … Kubernetes, and AWS services. Experience with LangChain, promptengineering, and fine-tuning LLMs is highly desirable. Strong background in data visualisation, and ES+Kibana. Knowledge in security practices, including log analysis and infrastructure debugging. Familiarity with Infrastructure as Code (Terraform, or CloudFormation). Excellent problem-solving skills and ability more »
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 »
