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

Apply Now

Senior Machine Learning Research Engineer

Understanding Recruitment
Nottingham
1 year ago
Applications closed

Related Jobs

View all jobs

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

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

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

Senior Machine Learning Engineer, Data for Embodied AI

Senior Machine Learning Engineer, Data for Embodied AI

Senior Machine Learning Engineer

AI Research Engineer/Senior Machine Learning Engineer

Hybrid Role – Nottingham (In-person once a week)



Are you ready to shape the future of AI with world-leading academics?


We are helping to upscale a pioneering company at the forefront of AI and data strategy, leveraging innovative technologies that harness behavioural data for social impact.


As leaders in AI and machine learning, our client convert sparse digital footprints into actionable insights, driving commercial value while supporting social initiatives in healthcare, retail and the environment.


Our client's work in time series forecasting, behavioural modelling, and explanatory AI is making significant strides across various industries.



What We’re Looking For:


  • Strong experience with window functions and building complex queries
  • Proven ability to handle large datasets
  • Proficiency in SQL
  • Experience using GitHub or CI/CD processes
  • Background in temporal modelling, deep learning, transformers, or explanatory AI



If you're passionate about leveraging AI for meaningful impact?

Apply now, we’d love to hear from you!

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.