National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer

Digital Waffle
Nottingham
1 week ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - RAG Experience - Founding Engineer

Machine Learning Engineer - RAG Experience - Founding Engineer

Machine Learning Engineer - Generative AI

A well-funded, high-growth tech company is building the next generation ofAI-powered automation tools—reimagining how complex, manual work gets done in the financial services world and beyond. They’re now looking for aMachine Learning Engineerto help design and build intelligent systems that make that future a reality.


This is afull-time hybrid role, based in theNottingham area, with regular in-office collaboration.


Salary:£60,000 - £75,000


The Role

You'll be a key member of the engineering team, focused on buildingLLM-driven features, intelligent agents, and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI applications in a production environment.

You’ll work in a fast-paced R&D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery.


What You’ll Be Doing

  • Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks
  • Build production-level backend and microservices inPython and TypeScript
  • Work with product and engineering teams to shape models, services, and system behaviour
  • Contribute to system architecture and infrastructure for scale, observability, and performance
  • Explore and implement LLMs, prompt engineering, and AI orchestration frameworks
  • Take ownership of features end-to-end, from design to deployment and monitoring


What They’re Looking For

  • 8+ years of software engineering experience, with strong ML or backend focus
  • Proficiency inPython and/or TypeScript, and experience with production-grade systems
  • Familiarity withLLMs, AI agents, or orchestration frameworks(OpenAI, Anthropic, LangChain, etc.)
  • Strong grasp ofdata modelling, cloud infrastructure (preferably AWS), and modern APIs
  • Experience withrelational and NoSQL databases(e.g. PostgreSQL, MongoDB)
  • Problem-solver who can reason about complex systems and deliver clean, scalable code
  • Excellent communication skills and ability to collaborate across technical and non-technical teams


Nice to Have

  • Hands-on experience withagentic workflows or autonomous AI systems
  • Background indata engineeringor database architecture
  • Side projects, open-source contributions, or hobbyist builds involving AI/ML
  • Interest in rapid prototyping, automation, and cutting-edge AI tooling


What’s on Offer

  • Competitive salary withequity/optionsavailable
  • Hybrid working from a base in theEast Midlands, with in-office collaboration
  • Work on cutting-edge AI challenges with real-world impact
  • Join a high-performing, ambitious team backed by leading investors
  • Opportunity to shape intelligent products from the ground up


This is a great opportunity for amachine learning engineer or backend AI developerwho wants to work on high-impact, production-ready AI tools at the edge of innovation.

National AI Awards 2025

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.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.