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

Apply Now

AI for Assessment Researcher

AQA
Manchester
8 months ago
Applications closed

Related Jobs

View all jobs

Sr Data Scientist (London)

Senior Research Scientist: Data Science and Machine Learning AIP

Machine Learning Research Engineer (Foundational Research)

Senior Genomic Data Scientist (we have office locations in Cambridge, Leeds & London) London

Senior Genomic Data Scientist (we have office locations in Cambridge, Leeds & London)

Senior Data Scientist - AI/ML (CADD)

AI For Assessment ResearcherManchester: £45,590 - £52,089Milton Keynes: £47,470 - £54,238Hybrid - 2x days a week in the officeImagine shaping the future of AI in education. What if your research could unlock innovative assessment that is fair, explainable, and high-quality? Join us in a pioneering project that merges advanced AI with educational assessment, making a real-world impact.At AQA, in collaboration with King's College London, we are developing a cutting-edge AI system to assist human experts in their work. You will be at the forefront of AI research, designing state-of-the-art algorithms with real-world applications.What You'll DoResearch, design, implement, and test NLP algorithms for AI-driven assessment.Collaborate with AQA assessment experts to ensure AI solutions align with real-world needs.Develop interactive front-end and back-end solutions to refine AI models with human feedback.Publish research findings, contribute to academic discussions, and present at conferences.What's in it for you?Enjoy a flexible work environment with a 35-hour week and extensive opportunities for professional and personal development.Access to an enhanced contributory pension scheme which could you see you paying in 7% and AQA contributing 11.5% (Other options are available)Receive 25 days of annual leave, increasing to 30 days with service, plus bank holidays and additional Christmas office closure.Comprehensive health coverage from day one, including Bupa PMI, Health Cash Plan, and Life Assurance.Participate in eco-friendly transport schemes, including electric vehicles and cycle-to-work options.What You'll NeedA PhD (or equivalent experience) in NLP, AI, or a related field.A strong research record, evidenced by publications or equivalent contributions.Proficiency in NLP techniques, research methodologies, and AI applications.The ability to communicate complex findings to technical and non-technical stakeholders.How do I apply?Read the full job description and upload your most recent CV and cover letter by following the link provided. As part of your application please also include an example of your previous work on NLP or AI (e.g. conference paper, github repository, jupyter notebook or similar).Closing date for applications will be Thursday 17th April.AQA is an equal opportunity employer committed to fostering an inclusive and diverse workplace where everyone-regardless of religion, ethnicity, gender identity or expression, age, disability, sexual orientation, or background-is valued, respected, and supported to thrive.#PRO22TPBN1_UKTJ

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.