Senior Machine Learning Scientist

Harnham

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Competitive salary and benefits
Hybrid working model
Cutting-edge AI projects
Strong career progression
Collaborative, research-driven culture

Job summary

Harnham in London (Remote) is seeking a Senior Machine Learning Scientist to lead end-to-end ML experiments and deliver production-ready AI solutions. You will work on transformer-based NLP projects, including retrieval pipelines, intelligent agents and semantic search while collaborating with product and engineering teams.

The role requires strong Python and PyTorch skills, experience with large language models, and the ability to communicate complex ideas to both technical and non-technical

Qualifications

  • Strong experience with transformer architectures and modern NLP techniques.
  • Advanced Python and PyTorch skills, including custom model training and optimisation.
  • Experience fine-tuning, evaluating and deploying large language models.
  • Experience working with large-scale text datasets and real-world ML problems.
  • Solid grounding in statistics and classical ML.
  • Hands-on experience developing Generative AI and agentic AI solutions.
  • Excellent communication skills with technical and non-technical stakeholders.

Responsibilities

  • Train, evaluate and optimise ML models and agentic AI systems, owning experimentation end-to-end.
  • Build and enhance LLM-powered solutions including retrieval pipelines, reranking systems and intelligent agents.
  • Design robust evaluation frameworks, define metrics and benchmark model performance across NLP applications.
  • Improve semantic search and retrieval capabilities using advanced ML and IR techniques.
  • Partner with engineering teams to deploy and monitor production-ready ML solutions.
  • Collaborate with product and business stakeholders to deliver impactful AI solutions while mentoring colleagues.

Skills

Transformer NLP
Python PyTorch
LLM deployment
Large-scale NLP data
Statistics ML
Generative AI
Stakeholder communication

Job description

Senior Machine Learning Scientist
London (Remote)
The Company

They are an innovative technology business leveraging advanced machine learning, natural language processing, and Generative AI to help organisations extract meaningful insights from large volumes of unstructured data. Their environment combines research, experimentation, and product development, giving technical teams the opportunity to work on real-world AI challenges while delivering measurable business impact.

The Role
  • Train, evaluate and optimise machine learning models and agentic AI systems, owning experimentation from end to end.
  • Build and enhance LLM-powered solutions including retrieval pipelines, reranking systems, intelligent agents and automated taxonomy generation.
  • Design robust evaluation frameworks, define metrics and benchmark model performance across a range of NLP applications.
  • Improve semantic search and retrieval capabilities using advanced machine learning and information retrieval techniques.
  • Partner with engineering teams to deploy and monitor production-ready machine learning solutions.
  • Collaborate with product and business stakeholders to deliver impactful AI solutions while mentoring colleagues and promoting technical best practice.
Your Skills & Experience
  • Strong commercial experience with transformer architectures and modern NLP techniques.
  • Advanced Python and PyTorch skills, including custom model training and optimisation.
  • Experience fine‑tuning, evaluating and deploying large language models.
  • Experience working with large-scale text datasets and real‑world machine learning problems.
  • Solid grounding in statistics and classical machine learning.
  • Hands‑on experience developing Generative AI and agentic AI solutions.
  • Excellent communication skills with the ability to engage technical and non-technical stakeholders.
What They Offer
  • Competitive salary and benefits package.
  • Hybrid working model.
  • Opportunity to work on cutting‑edge AI and machine learning products.
  • Strong career progression within a growing Data Science and AI function.
  • Collaborative, research-driven culture with exposure to the latest advancements in machine learning.
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