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

Apply Now

Senior Recruiter - Machine Learning / AI

Eko Devices
London
1 month ago
Create job alert

Neko Health is a Swedish health-tech company co-founded in 2018 by Hjalmar Nilsonne and Daniel Ek. Our vision is to create a healthcare system that can help people stay healthy through preventive measures and early detection. Neko has developed a new medical scanning technology concept to make it possible to do broad and non-invasive health data collection that is both convenient and affordable for the public. This requires completely reimagining the healthcare experience and incorporating the latest advances in sensors and AI. We are a remote first company with headquarters in Stockholm and over 300 employees across Europe.

About the Role

We’re looking for a Senior Recruiter who lives and breathes Machine Learning and AI hiring. This role is all about placing some of the sharpest minds in AI. The kind of people building foundational models, redefining computer vision, or building robotics systems that push the limits of science and engineering.

You’ll support all hiring across our Machine Learning and AI orgs, working closely with our CTO, Functional Leads, and cross-functional leadership. Our teams are solving unique medical challenges at scale and we’re only as good as the people we bring in to do that.

We’re looking for someone with deep technical literacy, a network across the most prestigious AI orgs and a history of hiring people who’ve built first-of-its-kind systems.

Responsibilities:

  • Support hiring for our Machine Learning and AI orgs across Europe.
  • Define and drive sourcing strategies targeting candidates in AI research, Computer Vision, Robotics, and Applied ML.
  • Partner with senior leadership to define what “best-in-class” looks like and adapt hiring strategies accordingly.
  • Own the full recruitment lifecycle from brief to close with high autonomy.
  • Leverage data, tooling, and your network to build proactive pipelines and enable hiring velocity without sacrificing bar.
  • Champion a top-tier candidate experience, especially with senior and hard-to-reach profiles.

Requirements:

  • 5+ years of recruiting experience with deep exposure to AI/Machine Learning domains.
  • Successful track record placing engineers and researchers at elite organisations.
  • Deep understanding of AI subfields including computer vision, robotics, NLP, and applied ML.
  • Strong technical fluency. You can go beyond buzzwords and calibrate for real-world ability.
  • Highly autonomous, detail-oriented, and commercially sharp.
  • Passionate about using AI for real-world impact, especially in healthcare and human well-being.

We offer a dynamic work environment with a high degree of autonomy that fosters growth and development. If you are passionate about building a better healthcare system for everyone and you thrive in a fast-paced environment, we would love to hear from you!

Please note: we perform background and reference checks as part of our interview process.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst – Automotive Industry

Senior Data Scientist - Research

Senior Data Engineer

Senior Data Engineer

Senior Data Scientist

Senior Data Engineer – Azure - Birmingham/Flexible

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.

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.