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 week ago
Create job alert
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

Related Jobs

View all jobs

Senior Machine Learning Engineer/Computer Vision

Senior Machine Learning Engineer - Robotics

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

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.

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.

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.