Machine Learning Engineer

IC Resources
Southend-on-Sea
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer - London

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

London, Hybrid (1-2 days onsite)

IC Resources is seeking a Machine Learning Engineer to join an exciting new start-up operating in a niche sector digitising smells! VC-backed and with a proof-of-concept, now actively seeking their first full-time Machine Learning Engineer. This exciting team have already generated initial traction with consumer electronics companies, with future desires to move into the med-tech sector. Experience in industry working on real-world products is essential as the Machine Learning Engineer will take ownership over model development, selection and integration, but also work with chemical databases and real-time biofeedback so is most likely to come with a background in computational chemistry or biology.

Required

  • MSc or PhD in Computer Science, Computational Biology or Chemistry
  • Minimum 2+ years of post-academic industry experience as an MLE working on real-world products
  • Knowledge of prediction-based algorithms and predictive analytics   
  • Experience working with real-time data and/or databases from chemicals
  • Python and MATLAB

What’s on offer?

  • Salary DOE
  • Stock options
  • Hybrid working (1-2 days onsite)

How to Apply

This is a great opportunity for a MSc or PhD educated Senior Machine Learning Engineer. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in London, UK.

 

 

 

 

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.