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

Apply Now

Fruition IT | Machine Learning Engineer

Fruition IT
East London
11 months ago
Applications closed

Lead Machine Learning Engineer£90-160k + equityLondon HybridRead 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 autonomouslyArchitect and develop systems for the organisation, communication and task delegating for AI agents (and humans!)Design and develop production ready, cloud deployed productsEnsure performant monitoring and evaluation of systems and productsEnable to seamless integration of multiple AI/ML models across the systemUse various data bases, including graphBe a driving force in technical decision making, solve problems autonomouslyRequirements:Expertise in AI & ML Engineering, significant commercial experienceStrong Python programming experienceExperience with the latest ML modelsCommercial experience with LLMsPassionate about RAG, LLMs, or Graph Networking, must have commercial experienceNLP experienceTrack record building & deploying production ready ML systemsPassion for the potential of AI & MLDeploying into and building on AWSPhDDesirable:Agentic AI experience, or orchestration experience that would be a plusGraph DBKnowledge graphsProjects or public speaking outside of day jobLogistics:Flexible workingLondon office with space for you to come in/ meet the team£90-160k + equityWealth creation opportunityBuild a product with a passionate team with a genuine upshotWe 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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.