NATURAL LANGUAGE PROCESSING & LLM
TALENT SOLUTIONS
With over two decades in data recruitment, Harnham has cultivated a deep understanding of the Natural Language Processing landscape. This experience equips us to expertly navigate the complexities of Natural Language Processing and Large Language Model roles, ensuring we source candidates who are both highly skilled and a perfect fit for your organization.
Our dedicated team's expertise is specifically tailored to the field of Natural Language Processing and Large Language Models. We understand the intricate balance of skills required in this domain, from advanced analytical abilities to practical experience in developing and implementing NLP systems.
Our targeted approach ensures we connect our clients with professionals who can drive technological innovation and business success.


WHY
HARNHAM?
Our reputation as a global leader in data recruitment is built on a foundation of hundreds of dedicated specialists who operate across the United States, Europe, and the United Kingdom.
This extensive network empowers us to offer unparalleled recruitment solutions, matching our clients with the ideal Natural language processing and LLM talent.
We recognize the unique nature of each organization's NLP and LLM recruitment needs.
Our recruitment strategies are, therefore, highly customized, focusing on understanding and aligning with your specific business objectives and technical requirements.
OUR
SERVICES
- Permanent and Contract Recruitment: We provide both permanent and contract recruitment solutions, ensuring flexibility to meet the evolving needs of your NLP and LLM projects and initiatives.
- Executive Search: Our executive search service is designed to identify and secure leaders in the NLP and LLM field who can propel your business strategies and technological innovations forward.
- Industry-Specific Expertise: We operate across all industries, offering specialized recruitment solutions that understand and cater to the unique challenges and opportunities within your sector.
Contact us today to learn how our bespoke talent solutions can enhance your organization's NLP and LLM capabilities.

JOBS
LATEST NLP and LLM
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.

Machine Learning Engineer
€115842.31 - €173763.46
+ Data Science & AI
PermanentBarcelona
To Apply for this Job Click Here
ML OPS ENGINEER – RELOCATION TO BARCELONA
We are working with an incredible start up company who have just gained pre-seed funding to join the team as a ML Ops Engineer. The role does require relocation to Barcelona.
Requirements:
- 5+ years ML Ops experience
- AWS & GCP
- Docker & Kubernetes
- Open to relocation
To Apply for this Job Click Here

AI Engineer
Amsterdam
€70000 - €80000
+ Computer Vision
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Job Title: AI Engineer – Computer Vision & AI Specialist
Location: Amsterdam
Job Type: Full-time
About Them
This company are on a mission to redefine what’s possible with AI. They are building cutting-edge solutions that harness the power of artificial intelligence to solve real-world problems at scale.
They are a smalll but growing company who have won multiple awards and they are looking for an AI/Computer Vision specialist to support them on a new role in the team.
The Role
They are looking for a passionate AI Engineer with deep expertise in Computer Vision to join our growing R&D team.
You’ll be designing and developing intelligent vision-based systems that can perceive, understand, and make decisions-across diverse environments and datasets.
This is a hands-on engineering role, perfect for someone who loves solving hard problems with elegant algorithms and robust code.
What You’ll Do
- Design, build, and deploy computer vision models (object detection, classification, segmentation, tracking, etc.)
- Work with image, video, and sensor data across real-time and batch pipelines
- Develop and optimize deep learning architectures (CNNs, Transformers, GANs, etc.)
- Collaborate with cross-functional teams including data engineers, product managers, and ML ops
- Research and implement state-of-the-art techniques from academia and industry
- Continuously monitor and improve model performance in production
- Contribute to our AI platform infrastructure and help scale our solutions
What They Are Looking For
- Proven experience in computer vision and deep learning (e.g., PyTorch, TensorFlow, OpenCV)
- Strong software engineering skills in Python and/or C++
- Solid understanding of neural networks, image processing, and machine learning fundamentals
- Familiarity with cloud platforms (AWS, GCP, or Azure) and GPU acceleration
- Experience with production-grade AI/ML systems is a big plus
- Degree in Computer Science, AI, Mathematics, or a related field (Master’s or PhD preferred)
- Curiosity, creativity, and a love for solving complex challenges
Bonus Points For
- Experience with 3D vision, LiDAR, SLAM, or AR/VR
- Contributions to open-source CV or AI projects
- Experience with MLOps and model lifecycle management
- Publications or Kaggle competition wins
What They Offer
- Competitive salary + stock options
- Flexible remote-first work culture
- Learning budget for conferences, books, and courses
- Work with a team of passionate, world-class AI engineers and researchers
- Real impact on cutting-edge products used by thousands (or millions!) of people
To Apply for this Job Click Here

Senior Machine Learning Engineer
Leeds
£75000 - £85000
+ Data Science & AI
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Senior Machine Learning Engineer – Remote
We are looking for a highly skilled Machine Learning Engineer with strong ML Ops expertise to help design, build, deploy, and manage machine learning pipelines in production environments. The ideal candidate will have a strong foundation in machine learning algorithms, deep learning, data engineering, and experience in automating the deployment, monitoring, and scaling of models through ML Ops practices.
Responsibilities:
- Model Development: Design and develop machine learning models to solve complex problems using a variety of algorithms, including supervised, unsupervised, and reinforcement learning techniques.
- ML Ops Implementation: Develop and deploy ML workflows, integrating version control, automation, and monitoring practices to streamline model development and deployment.
- Pipeline Development: Build and maintain end-to-end machine learning pipelines for continuous integration, continuous deployment (CI/CD), and model retraining.
- Automation: Automate model training, testing, and deployment processes, ensuring high levels of efficiency and reliability in production.
- Model Optimisation: Collaborate with data scientists and engineers to optimise models for production environments, focusing on scalability, speed, and resource efficiency.
- Cloud Integration: Utilise cloud platforms (e.g., AWS, Azure, GCP) for model deployment and infrastructure management, ensuring smooth scaling and resource optimisation.
- Documentation: Maintain clear and comprehensive documentation for model workflows, ML Ops processes, and system architectures.
To Apply for this Job Click Here

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