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

Nominate & Attend

Machine Learning Engineer

Digital Waffle
Mansfield
2 weeks ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - Bioimage Data & Agentic Systems

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer Trainer

Machine Learning Engineer - Up to £150k + Equity

Machine Learning Engineer

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.