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

Apply Now

Machine Learning Engineering Manager

Akkodis
London
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineering Manager

Machine Learning Engineering Manager - Personalization

Senior Machine Learning Engineering Manager

Engineering Manager, Machine Learning Platform

Computer Vision/Machine Learning Research Manager

Engineering Manager - Machine Learning, Training Libraries

I am seeking a Machine Learning Engineering Manager to join a global consultancy on a twelve-month contract to deliver a prototype automated solution for their Finance division. What will I do?Manage a team of machine learning engineers who will be designing, developing, and implementing AI algorithms and models to solve complex problems.Be responsible for training your team in ML models and multi - agent sytem capabilities.Optimize AI models and systems for performance and scalabilityUtilize multi-agent systems and frameworks to enhance AI functionalityManage deployments using AWS and/or Azure technologies and Autogen.Your SkillsProven hands-on experience with multi-agent systems and multi-agent frameworksExpert in using LLMs Hands on experience training teams in ML modelsStrong proficiency in artificial intelligence, with a deep understanding of its applications and methodologiesExpertise in Python for developing robust and efficient AI solutionsFamiliarity with cloud platforms such as AWS (including GPT), Azure, Microsoft Fabric and Autogen for AI-related tasksInterested? Please apply now for immediate consideration.Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe...

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.