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

Apply Now

Senior Machine Learning Engineer

Primus Connect
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer, Data for Embodied AI

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Overview

Senior Machine Learning Engineer - Up to £85k + Bonus + Benefits

Hybrid | Central London - 2/3 days onsite
Specialising in Databricks | MLOps | Cloud | Python | SQL

Are you a seasoned ML Engineer ready to lead cutting-edge projects and shape the future of data-driven innovation?

Kubrick Advanced is seeking a Senior Machine Learning Engineer to join our elite community of technical experts. This is a unique opportunity to work at the forefront of machine learning delivery, collaborating with industry leaders like Databricks and driving impactful solutions for top-tier clients.


Responsibilities

  • Lead technical delivery across high-impact client engagements, ensuring excellence in ML solutions.
  • Architect, train, and deploy production-grade models using Databricks and cloud platforms (AWS, Azure, or GCP).
  • Apply MLOps best practices to maintain scalable, reliable ML systems.
  • Translate complex business challenges into robust, data-driven solutions.
  • Mentor and manage junior engineers, fostering a culture of curiosity and collaboration.
  • Contribute to internal Centres of Excellence and help shape advanced capabilities.

Qualifications

  • 5+ years of hands-on experience in ML/Data Science, with a strong track record of deploying models in production.
  • Advanced proficiency in Python and SQL.
  • Practical experience with Databricks MLFlow
  • Proven leadership in technical delivery and team management.
  • Excellent communication skills and commercial awareness.

Ready to take your ML career to the next level?


Apply now and become a driving force in data innovation


#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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.