Machine Learning Engineer

Computerworld Personnel Ltd
Bristol
1 month ago
Create job alert
Overview

Machine Learning Engineer - Remote - £50-£70k + excellent benefits

We're looking for a skilled Machine Learning Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you'll help build and maintain the infrastructure that supports machine learning models in a live environment.

Responsibilities
  • Developing and maintaining API services using Azure and Databricks
  • Managing caching layers with Azure Cache (Redis)
  • Using Delta Live Tables for data processing and analytics
  • Integrating with cloud-based data storage solutions like Snowflake
  • Collaborating with cross-functional teams in an agile environment
  • Supporting analytics, model deployment, and data-driven decision tools
  • Conducting performance, load, and end-to-end testing
  • Writing pipeline code and managing deployments via Azure DevOps (GitHub)
Qualifications
  • Solid experience in ML Ops, particularly with Azure and Databricks
  • Familiarity with Postgres, Redis, and Snowflake
  • Understanding of Delta Lake Architecture, Docker, and container services
  • Experience building and orchestrating APIs
  • Strong problem-solving and communication skills
  • Bonus: exposure to Azure Functions, Containers, or Insights
Benefits
  • 25 days holiday, plus bank holidays
  • Annual discretionary bonus
  • Enhanced Pension scheme
  • Flexible working and flexi-time options
  • Healthcare cash plan
  • Electric vehicle salary sacrifice scheme
  • Discounts scheme
  • Wellbeing app
  • Enhanced maternity and paternity leave
  • Life assurance (4x salary)
  • Discounts on insurance
  • Cycle to Work scheme
  • Employee referral scheme

If you are interested in this position please click 'apply'.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

Machine Learning Engineer

Machine Learning Engineer SaaS

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

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.