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

Nominate & Attend

Machine Learning Engineer

NearTech Search
Birmingham
1 month 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

AI Engineer/Machine Learning Engineer - Remote | UK


📍Remote-first (Occassional travel to the US) | 💰£60,000–£65,000 + Equity 🧠 AI for Good | 🚀 Early-Stage Start-Up | 🥗 Health & Wellness Sector


Are you an applied machine learning engineer with a passion for real-world impact? We're partnering with a stealth-mode healthtech start-up that’s redefining personalisation in the wellness space.


What You’ll Be Doing:

  • Owning and evolve the personalisation engine - tailored recommendations, user preferences, and adaptive experiences.
  • Working with a mix of in-house data, literature-based insights, and small-scale RAG (Retrieval-Augmented Generation) models.
  • Building agentic tools to streamline onboarding and user journeys.
  • Contributing to backend design and infrastructure where needed - real bonus points if you’re from an engineering background.


Ideal Candidate:

  • 3-4 years’ of experience in AI/ML with a practical focus on shipping features.
  • Familiarity with personalisation algorithms, recommendation systems, or LLMs.
  • Comfortable building scrappy, elegant solutions - not over-engineering for engineering's sake.
  • Hungry to grow into technical leadership and thrive in a low-ego, mission-led environment.
  • Bonus points if you've gone above and beyond: participated in hackathons, built side projects, or solved real problems outside of your day job.


Why Apply:

  • Be part of a small, ambitious team shaping the early stages of something meaningful.
  • Transparent equity offering.
  • Remote-first setup with opportunities for international exposure and travel opportunities
  • Unlimited holiday policy and flexible working culture.


If you’re excited about the intersection of personalisation, wellness, and applied AI please reach out!

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.