Machine Learning Engineer

NLP PEOPLE
Euston, England
12 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Qualify Nation Recruitment Woking, United Kingdom
£35,000 – £55,000 pa Hybrid Clearance Required

Machine Learning Engineer

Faculty AI London, United Kingdom
£40,000 – £80,000 pa Hybrid Clearance Required

Machine Learning Engineer

Faculty AI London, United Kingdom
£40,000 – £70,000 pa Remote Clearance Required

Machine Learning Engineer

PhysicsX North Tyneside, NE29 8EP, United Kingdom
On-site Clearance Required

Machine Learning Engineer - London

Michael Page Technology London, United Kingdom
£85,000 – £100,000 pa On-site

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Posted
7 May 2025 (12 months ago)

Machine Learning Engineer (Contract) – £550/£600 PD (Inside IR35)

An excellent opportunity has arisen with a global brand for a Contract Machine Learning Engineer. This role focuses on natural language processing and network analysis, leveraging open-source software in a highly collaborative environment. You’ll contribute to building, maintaining, and enhancing their data science capabilities within the organization.

Role and Responsibilities:

  1. Design, develop, and evaluate machine learning models, with a focus on natural language processing
  2. Translate business challenges into data science solutions and communicate complex findings to stakeholders
  3. Collaborate in a cross-functional team by sharing ideas, conducting code reviews, and enhancing internal data science tools
  4. Identify opportunities where machine learning can support data-driven decision making
  5. Foster a diverse and inclusive culture by working across departments and contributing to knowledge sharing

Essential Skills & Experience:

  1. Strong proficiency in Python and Graph Databases
  2. Experience with core data science libraries such as Scikit-Learn, Pandas, PyTorch/TensorFlow
  3. Solid understanding of machine learning and NLP techniques
  4. Familiarity with version control systems (Git/GitHub), Python package management, unit testing, and code reviews
  5. Hands-on experience with data exploration and visualization tools like Pandas, Matplotlib, Bokeh, Plotly, or Tableau
  6. Exposure to cloud platforms such as AWS
  7. Experience working collaboratively in multidisciplinary teams alongside machine learning and software engineers

Contract Terms:

• London/Hybrid
• Inside IR35
• 6 Months
• Rate: £550/£600 PD

Company:

IntecSelect

Qualifications:

Senior (5+ years of experience)

#J-18808-Ljbffr

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

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.