AI SCORE 8.5

Lead AI Engineer - NLP and LLM Solutions

$75K–$85K/year

About the Role

We are seeking a Lead AI Engineer to join our team in a fully remote capacity. As a Lead AI Engineer focusing on NLP and LLM solutions, you will take technical ownership of AI systems that are already in use while shaping the future of our AI function as it scales. This role offers a competitive salary of £75,000 – £85,000 plus bonuses and private healthcare, making it an attractive opportunity for experienced professionals.

What You'll Do

  • Design and implement NLP and LLM-based systems for products that process long, noisy, and unstructured text.
  • Build retrieval and generation pipelines capable of working with large document sets.
  • Evaluate models, techniques, and retrieval approaches, making clear recommendations.
  • Fine-tune and adapt foundation models using domain-specific datasets.
  • Build and maintain evaluation, prompt testing, and dataset preparation tooling.
  • Analyze model behavior, performance, and drift in production environments.
  • Collaborate with MLOps to deploy, monitor, and retrain models using robust pipelines.
  • Support CI/CD processes, including versioning, reproducibility, and rollback.
  • Mentor junior engineers and support their technical growth.

Requirements

  • Strong experience with NLP and LLMs, including transformers, fine-tuning, and retrieval-augmented approaches.
  • Hands-on experience building RAG systems over long-form or document-heavy data.
  • Experience processing large volumes of unstructured, inconsistent, or noisy text.
  • Experience with monitoring, retraining workflows, and performance tracking.
  • Understanding of explainability and responsible AI considerations.
  • Hands-on experience with Docker and Kubernetes.
  • Understanding of MLOps practices, CI/CD pipelines, and model versioning.

Nice to Have

  • Experience in legal services or similar industries.
  • Familiarity with data privacy regulations.
  • Knowledge of additional programming languages such as Python or Java.

What We Offer

  • Competitive salary of £75,000 – £85,000 plus bonuses.
  • Private healthcare coverage.
  • 100% remote work flexibility.
  • Opportunities for career progression and technical leadership.
  • Supportive team environment with mentoring opportunities.
  • Access to cutting-edge AI technologies and tools.
  • Engaging projects that have a real-world impact.

If you are interested in this Lead AI Engineer - NLP and LLM Solutions role, apply now or send your CV to our recruitment consultant.

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Lead AI Engineer position offers a unique opportunity to shape AI solutions in a fully remote environment. With competitive pay and career growth, it's an attractive role for experienced professionals.

Salary Range
Required
0/1
Optional
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Bonus
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About Innova Recruitment

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Industry
Tech
Location
Remote

Who Will Succeed Here

Expertise in building and deploying NLP models using frameworks such as TensorFlow or PyTorch, with a strong grasp of transformer architectures and LLMs like GPT-3 and BERT.

Proficient in containerization and orchestration technologies, specifically Docker and Kubernetes, to facilitate scalable deployment and management of machine learning applications in a remote environment.

Demonstrated experience in MLOps practices and CI/CD pipelines, ensuring seamless integration and delivery of AI solutions, paired with a proactive mindset for continuous improvement and innovation.

Learning Resources

Natural Language Processing with Transformerscourse

Career Path

Lead AI Engineer - NLP and LLM Solutions(Now)AI Engineering Manager(1-2 years)Director of AI and Data Science(3-5 years)

Market Overview

Market Size 2024
$12.2B
Annual Growth
20.3%
AI Adoption
90%
Investment
+150%
Labour Demand
+30%
Avg Salary
$150K

Skills & Requirements

Required
NLPLLMsMachine Learning
Growing in Demand
Transformers ArchitectureFederated LearningData Engineering
Declining
Rule-Based NLPBag of Words Model

Domain Trends

Rise of Transformer Models
The adoption of transformer models has surged, with over 70% of NLP applications now utilizing architectures like BERT and GPT, enhancing performance and efficiency.
Increased Focus on Ethical AI
Organizations are prioritizing ethical AI practices, with 65% of companies implementing guidelines to address bias in NLP models.
Integration of NLP with IoT
The convergence of NLP with IoT is growing, with a projected 40% increase in smart devices utilizing NLP for better user interaction by 2025.

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