Machine Learning Engineer (Remote)

Fruition IT
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer - London

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Lead Machine Learning Engineer £90-160k + equity London Hybrid Read to dominate a $trillion industry? You'll be working closely with the CTO and founders, building out an agentic AI system that enables clients to fully utilise available AI/ML tooling. By delegating tasks to machines and integrating this with the human team, the system you build will accelerate product and project plans to new hights. Think, humans and AI agents working in perfect harmony. This role is for a builder, a doer, not someone who wants to stay high level or theoretical. You will have a strong influence on the direction of the core product offering, and will be at the forefront of a currently developing technology. Interest is high for this product, and the market is ripe for disruption. Role: Develop AI agents that can execute tasks autonomously Architect and develop systems for the organisation, communication and task delegating for AI agents (and humans!) Design and develop production ready, cloud deployed products Ensure performant monitoring and evaluation of systems and products Enable to seamless integration of multiple AI/ML models across the system Use various data bases, including graph Be a driving force in technical decision making, solve problems autonomously Requirements: Expertise in AI & ML Engineering, significant commercial experience Strong Python programming experience Experience with the latest ML models Commercial experience with LLMs Passionate about RAG, LLMs, or Graph Networking NLP experience Track record building & deploying production ready ML systems Passion for the potential of AI & ML Deploying into and building on AWS PhD Desirable : Agentic AI experience, or orchestration experience that would be a plus Graph DB Knowledge graphs Projects or public speaking outside of day job Logistics : ~ Flexible working ~ London office with space for you to come in/ meet the team ~£90-160k + equity ~ Wealth creation opportunity ~ Build a product with a passionate team with a genuine upshot We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

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.