Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Natrual Language Processing Developer

Newport
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Research Engineer – Speech/Audio/Gen-AI

Senior AI Research Scientist – Natural Language Processing

Principal AI Research Scientist – Natural Language Processing

Senior Machine Learning Engineer – Computer Vision

Senior Data Scientist

Job Title: Senior Natural Language Processing (NLP) Developer

About the Role: We are seeking a talented Senior Natural Language Processing (NLP) Developer to join a dynamic team. In this role, you will be responsible for developing and maintaining high-quality AI and ML systems with a focus on Natural Language Processing. You will have the opportunity to work with cutting-edge cloud technologies and be part of a collaborative, multi-disciplinary team delivering innovative digital services.

This position offers the chance to engage in meaningful projects while continuously learning new technologies and methodologies. You will also contribute to the technical strategy and work on enhancing enterprise-grade services.

Key Responsibilities:

Technical:

Design, code, test, and document AI and ML activities focused on NLP.
Collaborate with test engineers to ensure code quality and test coverage.
Troubleshoot system issues and improve existing processes.
Investigate problems and recommend improvements.
Develop APIs and toolkits for performance optimization, security, and scalability.
Work within a multi-disciplinary team to deliver user-focused services.
Implement and maintain cloud-hosted development environments (e.g., Azure Machine Learning Studio).
Continuously embrace a fail-fast approach and strive for innovative solutions.Behavioural:

Lead by example, driving results and fostering a collaborative environment.
Share knowledge and expertise, championing a culture of learning and teamwork.
Manage and delegate tasks within the team effectively.
Take full responsibility for decisions and outcomes.
Maintain composure and learn from setbacks.
Inspire others to move things forward and deliver results.Personal and Team Development:

Drive your own development by staying updated with new technologies and trends.
Mentor and guide junior team members, fostering their personal growth.
Ensure that the team adheres to governance and processes for test and build activities.
Promote continuous improvement in technical knowledge.Essential Skills and Experience:

Proven experience in delivering technical solutions as part of large projects.
Proficiency with modern delivery models such as Scrum and Agile.
Experience with statistical modeling, machine learning, and AI techniques.
Solid understanding of databases and data engineering principles.
Strong experience with Python and deep learning frameworks.
Knowledge of cloud-hosted environments like Azure Machine Learning Studio.
Familiarity with Git and version control systems.
Ability to deliver models from concept to production and continuously improve them.Desirable Skills:

Experience with vector databases.
Understanding of statistics, linear algebra, and calculus.
Experience with SQL and Docker & Kubernetes.
Familiarity with CI/CD principles and MLOps.
Experience with Azure DevOps.Required Framework Skills:

Availability and capacity management.
Development process optimization.
Information security.
Modern standards approach and systems integration.
User-focused systems design and prototyping.Career Path and Development: This role offers excellent opportunities for career progression and skill development within a Digital Engineering Department. Training will be provided in areas such as Python, Scrum/Agile, Azure DevOps, SQL, and Azure Cloud fundamentals.

So, if this role sounds of interest, please apply today

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.