Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Machine Learning Engineer - Crypto

Harnham
Liverpool
1 week ago
Create job alert

Senior AI/ML Engineer

UK Based (Remote) - Up to £130,000


Join a leading blockchain analytics platform that combines on-chain data with millions of wallet labels to help investors, institutions, and crypto-native teams make faster, more informed decisions in the decentralised economy.


Responsibilities:

  • Lead the design, implementation, and use of AI/ML models to process and analyse blockchain data.
  • Collaborate with product managers and engineers to integrate AI/ML models.
  • Stay abreast of the latest developments in AI/ML and blockchain technologies.
  • Mentor junior engineers and promote best practices in AI/ML development across the team.
  • Work closely with cross-functional teams to align AI/ML initiatives with business objectives and customer needs.


Requirements:

  • MSc Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
  • 5+ years proven experience as an AI/ML Engineer or similar role
  • Experience in blockchain, crypto, and Web3 technologies either in industry or personal projects
  • An ability to work full-stack with data; some data engineering experience is a big plus
  • Strong coding skills in Python
  • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.


This role cannot sponsor

Related Jobs

View all jobs

Senior Machine Learning Engineer/Computer Vision

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

Senior Machine Learning Engineer - Crypto

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.