Machine Learning Engineer

Harnham
Chester
1 month ago
Create job alert
Recruitment Consultant - Engineering & Governance (North and Midlands) at Harnham

Location: Chester (Hybrid - 2x week in office)


Base pay range

Direct message the job poster from Harnham


About the Role

I'm working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists, analysts, engineers, and design managers in a fast-paced, high-impact environment.


What You’ll Be Doing

  • Operationalising machine learning models and ensuring they are production-ready
  • Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models
  • Contributing to churn and revenue prediction use cases
  • Working on conversational AI, including an in-house AI agent designed to support customers throughout their stay
  • Collaborating closely with engineers, designers, and product stakeholders
  • Helping establish best practices for CI/CD, model deployment, and ML operations across the organisation
  • Supporting a move towards a product-aligned, hub-based operating model
  • Cloud-first environment with Microsoft Azure Fabric
  • Python, PyTorch
  • SQL
  • Git

What We’re Looking For

  • 3–4 years’ experience in AI/ML engineering, data engineering, or applied data science
  • Strong Python skills with experience deploying ML models to production
  • Solid software engineering fundamentals (clean code, version control, testing mindset)
  • Experience working with customer or marketing data
  • Exposure to ML Ops practices (full CI/CD expertise not required)
  • Experience handling customer or personal data is a plus (e.g. chatbot or conversational AI projects)
  • Strong communication skills and ability to work cross-functionally
  • Master’s degree in Computer Science, Data Science, or a related field preferred

Seniority level

Mid-Senior level


Employment type

Full-time


Job function

Industries: Travel Arrangements


Referrals increase your chances of interviewing at Harnham by 2x


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.