Artificial Intelligence Engineer

Agency Bell
UK
1 year ago
Applications closed

Related Jobs

View all jobs

Computer Vision and Artificial Intelligence Engineer

Computer Vision & AI Engineer: Advanced Imaging & ML

Computer Vision & AI Engineer — Advanced Defense Tech

Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

Artificial Intelligence / Machine Learning Engineer - European Tech Recruit

Title : AI Engineer Job Type : Permanent Job Hours : Full time Location : Hybrid / 3 days in London office Salary range : 50-60k The speed read: A B2B brand and business communications agency is currently looking for a mid-level AI Engineer to join their growing team. This is the ideal role for someone with a few years industry experience who wants to now explore another company and add value with the expernce they have gained. The facts: Do you want to build a brand-new AI research software? Contribute new ideas that are taken seriously? Have your creation used by the agency on a day-to-day basis? This might be the one for you. In this role you will be working on conceptualizing, building, and deploying a new AI software for the agency to use internally. You will be working with one other AI Engineer, so there will be plenty of opportunity for you to have an input on improvements, streamlining, development and everything in-between (the main focus is building). Solid Python experience used within industry is a MUST. You’re confident in discussing and presenting your ideas and work to others, including stakeholders. You’ll be: Aiming to really understand the business and its needs to tailor the software accurately. Creatively minded, able to come up with ideas to improve the software. Passionate about AI and Language Learning Models You’ll have: Advanced Python skills (3 years), potentially some SQL and Java/HTML. Strong on LLM's with commercial experience of these Good working knowledge around Chat GPT Fundamental understanding of statistics and ML theory. Science/Mathematics/Machine Learning Degree or Masters

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.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.