Engineers who build and optimise large language models. A rapidly growing specialism with high commercial demand.
LLM Engineers are at the forefront of the AI revolution, focusing on the development and optimisation of large language models (LLMs). These models are the backbone of many cutting-edge applications, from chatbots and virtual assistants to advanced natural language processing (NLP) systems. LLM Engineers work in a variety of settings, from research-heavy startups to large tech companies, where they collaborate with data scientists, researchers, and product teams to create and refine models that can understand and generate human-like text. The role demands a deep understanding of machine learning, natural language processing, and software engineering.
A typical week for an LLM Engineer is a mix of model development, experimentation, and collaboration with cross-functional teams.
Based on advertised midpoints across the 4 UK listings priced in pounds in the last 12 months. Base salary only.
% of 3 listings posted in the last 12 months that mention each skill, extracted from job descriptions.
A typical UK progression for llm engineers. Years are guidance — strong people move faster, and many senior folks sidestep into research, product or management.
Assist in the development and testing of LLMs, focusing on understanding the basics of model architecture and data preparation.
Take ownership of specific components of LLMs, contributing to the design, implementation, and optimisation of models.
Lead the development of complex LLM projects, mentor junior engineers, and drive innovation in model architecture and performance.
Oversee the entire LLM development lifecycle, from research to deployment, and guide the strategic direction of AI initiatives within the organisation.
There's no single route, but most people follow some version of these steps.
Gain a solid understanding of machine learning, NLP, and software engineering principles.
Work on small-scale projects to develop hands-on experience with LLMs and related technologies.
Focus on advanced topics in LLM development, such as model optimisation and data preprocessing.
Participate in cutting-edge research and contribute to the development of new LLM techniques and applications.
Take on leadership roles in LLM projects, guiding teams and driving innovation.
Influence the strategic direction of AI initiatives within the organisation, shaping the future of LLM technology.
Isomorphic Labs London
Join the model performance and scaling team to implement and optimize LLM post-training methods on frontier models, collaborating with research teams to turn new methods into production-ready systems. The role focuses on distributed training and inference performance, low-precision methods, and frameworks like JAX or PyTorch, in a hybrid London setting.
Ncounter Manchester £80,000 – £90,000 pa
Hands-on research engineering role investigating the internal behaviour and security of large language models, turning academic ideas into practical experiments in Python. Work spans model internals, data movement, training risk and safe deployment, alongside production-quality ML engineering, testing and code reviews. Requires active SC clearance and around three days per week on secure sites.
The locations with the most live listings for this role today.
Essential skills include a strong foundation in machine learning, natural language processing, and software engineering. Proficiency in programming languages like Python and frameworks like TensorFlow or PyTorch is also crucial.
Career progression typically starts with a Junior LLM Engineer role, advancing to LLM Engineer, Senior LLM Engineer, and eventually Principal LLM Engineer. Each step involves increasing responsibility and leadership.
Key challenges include managing the computational resources required for training large models, ensuring model accuracy and reliability, and addressing ethical and privacy concerns in AI applications.
Salary ranges can vary widely based on experience, location, and the specific company. For detailed salary information, please refer to the salary section on this page.
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