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

Apply Now

Natural Language Processing (NLP) Engineer

Your Personal AI
Cambridge
10 months ago
Applications closed

Related Jobs

View all jobs

Senior AI Research Scientist – Natural Language Processing

Principal AI Research Scientist – Natural Language Processing

Research Associate in Natural Language Processing

Big Data Scientist

Data Scientist

Senior Data Scientist (Lead/Principal Level Considered)

Natural Language Processing (NLP) Engineer at Your Personal AI

Your Personal AI is seeking a talented Natural Language Processing (NLP) Engineer to join our AI Research and Development department. As an NLP Engineer, you will play a key role in developing cutting-edge algorithms and models to enhance our AI technology.

  • Collaborate with a team of researchers and developers to design and implement NLP solutions

  • Utilize machine learning techniques to improve language understanding and processing

  • Conduct experiments and analyze data to optimize NLP algorithms

  • Stay up-to-date with the latest advancements in NLP and AI technologies

If you are passionate about NLP and have a strong background in machine learning and data analysis, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team that is shaping the future of artificial intelligence.



Job Requirements for Natural Language Processing (NLP) Engineer at Your Personal AI

Thank you for your interest in the NLP Engineer role at Your Personal AI in the AI Research and Development department. To ensure we find the best candidate for this position, please review and include the following job requirements in your job posting:

  • Bachelor's degree in Computer Science, Engineering, or related field

  • Proven experience in developing NLP algorithms and models

  • Familiarity with machine learning techniques and frameworks

  • Proficiency in programming languages such as Python, Java, or C++

  • Strong analytical and problem-solving skills

  • Excellent communication and teamwork abilities

  • Ability to work independently and meet project deadlines

If the job requirements are not met, we kindly ask you to revise the job posting accordingly. Thank you for your attention to this matter.

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

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.

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.

🍪 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.