Machine Learning Consultant

Sancus Day

City of London, United Kingdom

3 months ago

Applications closed

Related Jobs

View all jobs

Associate Professional Services Consultant Intern 2026

Amazon London, United Kingdom

Permanent

Platform Professional Services Sr. Consultant , GBR)

CrowdStrike United Kingdom

£40,000 – £70,000 pa Remote

Senior Technical Program Manager - Preclinical, London

Isomorphic Labs London, United Kingdom

Head of Global Regulatory Affairs and Strategy

Isomorphic Labs Cambridge, United Kingdom

£0 pa On-site

Enterprise Account Manager

Signal AI New York, United States

Hybrid

AI Data Associate French, Artificial General Intelligence

Amazon Cambridge, United Kingdom

£0 pa On-site

Posted: 4 Feb 2026 (3 months ago)

Save job

Create job alert

Applications closed

Our client, a global consultancy, is seeking Machine Learning Consultants to join their innovative and growing analytics team. You’ll collaborate with top-tier professionals to design and build cutting-edge models that turn data into actionable strategies for some of the world’s most influential organisations.

What you’ll do:

Build, test, and deploy advanced machine learning and mathematical models to tackle real-world business challenges.
Work closely with clients to deeply understand their needs, diagnose key issues, and translate them into structured analytical solutions.
Communicate technical insights in a clear, compelling way to non-technical stakeholders.
Collaborate with cross-functional teams across data science, engineering, and strategy to deliver impactful end-to-end solutions.

What we’re looking for:

Strong experience developing and implementing machine learning models.
Solid mathematical and statistical foundation (e.g., optimisation, probability, predictive modelling).
Proficiency with tools such as Python, R, or similar data science languages.
Experience working in consulting, analytics, or a client-facing technical environment is a plus.
A problem-solving mindset and the ability to think creatively under pressure.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 8, 2026

Products

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.

Mar 24, 2026

Jobs

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.

Feb 9, 2026

Careers

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.