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

Apply Now

Senior Natrual Language Processing Developer

Newport
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer (Credit Risk)

Senior Machine Learning Engineer – Computer Vision

Senior AI Engineer - Generative AI and Search - Artificial Intelligence

Associate Director/ Senior Data Scientist

Data Science Manager

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.

Jobs

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.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.