Senior/Lead Machine Learning Engineer (Hiring Immediately)

HUG
London
10 months ago
Applications closed

Related Jobs

View all jobs

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Senior Machine Learning Engineers Wanted!


Are you driven by the idea of using AI to make the internet a safer, fairer place? Join a fast-growing, mission-driven tech start-up that’s leveraging cutting-edge AI to create a positive global impact.


Our client is seekingseveral Senior Machine Learning Engineersto help design and deploy state-of-the-art machine learning models that enhance online safety. If you thrive in fast-paced environments, enjoy solving complex problems, and want your work to make a real difference, this could be the perfect opportunity for you.


What You’ll Do

As a Senior ML Engineer, you’ll play a pivotal role in:

  • Shaping Strategy:Leading the development of ML models using techniques like LLMs (Large Language Models) and VLMs (Vision-Language Models).
  • Collaborating & Leading:Partnering with Engineering teams, Product Managers, and key stakeholders to design scalable, impactful solutions.
  • Optimizing Pipelines:Building and refining efficient pipelines for model training, validation, and deployment.
  • Driving Innovation:Staying on top of ML advancements and integrating new ideas into ongoing projects.
  • Mentoring & Inspiring:Supporting team growth and fostering a high-performing, collaborative culture.
  • Establishing Standards:Setting and maintaining best practices in engineering to ensure sustainable success.


About You

You’re passionate about AI, thrive in collaborative start-up settings, and are eager to create meaningful change. You bring technical expertise, strong leadership skills, and the ability to drive results.


Ideal candidates will have:

  • Extensive ML Experience:Proven track record leading ML projects and setting technical direction in real-world applications.
  • Technical Skills:Proficiency in programming and building scalable ML pipelines.
  • Expertise in ML Techniques:Strong understanding of LLMs, VLMs, and related methodologies.
  • Communication Skills:The ability to articulate complex concepts and influence stakeholders effectively.


Why Join?

This is your chance to work with a dynamic team dedicated to making a difference. The company offers:

  • Aremote-friendly culturefor flexibility and work-life balance.
  • Competitive salaryof up to £95,000.
  • Generous benefits:Paid parental and sick leave, annual professional development, and wellness budgets.
  • Unlimited holidayfor ultimate flexibility.
  • Aglobal presencewith offices in the UK, Europe, and the US.


If you’re ready to take on a meaningful role in a mission-focused company driving safer online experiences, 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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

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.