At a Glance
- Tasks: Shape the future of search with cutting-edge NLP and LLM technologies.
- Company: Innovative organisation transforming complex text analysis with machine learning.
- Benefits: Up to £110k salary, 25 days holiday, hybrid work model, and ongoing development support.
- Why this job: Make a real impact in a hands-on role with significant ownership and technical influence.
- Qualifications: Experience in ML systems, NLP, strong Python skills, and ownership mindset.
The predicted salary is between 70000 - 90000 £ per year.
This is for an organisation building a platform designed to help users navigate and analyse large volumes of complex technical and legal text using a combination of machine learning, search technologies and LLM-driven approaches. They are looking for someone to play a key role in shaping how their systems retrieve, rank and interpret data at scale. The position sits across applied machine learning, NLP and search, with a strong focus on modern LLM-driven workflows. The role is hands-on but also carries significant ownership, with responsibility for influencing technical direction across areas such as semantic search, vector retrieval, ranking optimisation, and retrieval-augmented pipelines.
Responsibilities include:
- Improving relevance and ranking across large-scale search systems
- Designing and optimising LLM-powered pipelines
- Working with hybrid and vector-based retrieval approaches
- Developing NLP components for structured and unstructured text
- Contributing to scalable ML infrastructure and cloud-based pipelines
The environment is primarily Python-based, leveraging frameworks such as PyTorch or TensorFlow, search technologies like Elasticsearch/OpenSearch, and AWS for infrastructure.
They are interested in candidates who:
- Have experience building and deploying ML systems in production
- Bring a background in NLP and/or LLM-based applications
- Are comfortable working with search or retrieval systems
- Have strong Python skills in a commercial environment
- Can take ownership of technical decisions and direction
The package offers a salary of up to £110k, 25 days holiday, and a hybrid working model (3 days onsite in London), along with flexibility and support for ongoing development.
Machine Learning Engineer / Applied Scientist (NLP / LLMs / Search) London (Hybrid) | Up to £110k employer: Opus Recruitment Solutions
Join a forward-thinking organisation in London that is at the forefront of machine learning and natural language processing. With a strong emphasis on employee growth, you will have the opportunity to shape innovative solutions while enjoying a hybrid working model, competitive salary, and generous holiday allowance. The collaborative work culture fosters creativity and technical ownership, making it an ideal environment for those looking to make a meaningful impact in the field.
Contact Details:
Opus Recruitment Solutions Recruitment Team
