Senior Machine Learning Engineer

Signify Technology
London
3 days ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from Signify Technology

Overview

Job title: Senior Machine Learning Scientist

Job type: Permanent

Role Location: London (Hybrid)

The company:

An innovative, global tech-driven marketplace, connecting millions of users and powered by cutting-edge data and engineering. The company values diversity, sustainability, and community while driving forward new approaches to technology and customer experience.

Role and responsibilities
  • Design, build, and scale core ML models for applications such as product matching, content understanding, moderation, and personalisation.
  • Lead high-impact technical projects, set modelling direction, and mentor junior team members.
  • Collaborate with product managers, engineers, and other scientists across the business.
  • Conduct large-scale experiments and A/B tests with statistical rigour.
  • Stay up to date with ML research, contribute to knowledge sharing, and help shape long-term strategy.
  • Communicate complex technical concepts to both technical and non-technical audiences.
Job requirements
  • Proven track record as a Machine Learning Scientist delivering models into production.
  • Expertise with frameworks such as PyTorch, TensorFlow, or Transformers.
  • Strong Python skills with clean, production-ready coding practices.
  • Solid knowledge of data engineering and MLOps principles.
  • Ability to lead end-to-end ML projects and mentor colleagues.
  • Excellent communication and collaboration skills.
Bonus skills (not essential)
  • Experience with NLP, image classifiers, deep learning, or large language models.
  • Familiarity with A/B testing and experiment design.
  • Experience building shared ML systems or platforms.
  • Knowledge of Databricks, PySpark, and cloud platforms (AWS/GCP/Azure).
  • Flexible hybrid working model.
  • Private medical insurance, healthcare cash plan, subsidised counselling/coaching, Employee Assistance Programme, and Mental Health First Aiders.
  • Family Support: 18 weeks paid parental leave, plus IVF, shared parental, and emergency carer leave.
  • Learning & Growth: Conference and learning budgets, mentorship, and upskilling programmes.

If you'd like to find out more, don't hesitate to apply! Even if you don't tick every box!

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Software Development

Referrals increase your chances of interviewing at Signify Technology by 2x

Get notified about new Machine Learning Engineer jobs in London Area, United Kingdom.


#J-18808-Ljbffr

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.