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

Apply Now

Senior AI/ML Engineer - Crypto/Blockchain

Harnham
united kingdom, united kingdom
8 months ago
Applications closed

Related Jobs

View all jobs

Senior AI Engineer — Remote NLP/OCR & Production Pipelines

Senior AI/ML Data Engineer - 100% Remote - EMEA

Senior AI Research Scientist – Natural Language Processing

Senior Data Scientist (UK)

Senior Data Scientist - AI/ML (CADD)

Senior Data Scientist (UK)

Salary:£90,000 - £110,000


Location:Remote (team based internationally, but AI division in UK)


Join a leading cryptocurrency analytics firm that empowers investors by identifying market opportunities! They're looking to expand their AI & ML capabilities - driving innovation in blockchain analytics.


ROLE AND RESPONSIBILITIES

  • Design, develop, and deploy AI/ML models to analyze blockchain data, uncovering critical insights for cryptocurrency investors.
  • Optimize model performance and scalability to handle vast blockchain datasets.
  • Collaborate with product managers and engineers to integrate AI/ML models into the platform, enhancing analytical capabilities.
  • Stay ahead of advancements in AI, ML, and blockchain technologies to drive innovation.
  • Mentor junior engineers and promote best practices in AI/ML development.


SKILLS AND EXPERIENCE

Required

  • Strong experience in AI Engineering, ML Engineering, or Data Science.
  • Hands-on experience designing and implementing ML models in production.
  • Expertise in blockchain, cryptocurrency, or financial analytics.
  • Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
  • Excellent communication skills and the ability to work in a fast-paced environment.


This role is fully remote andcannot sponsor.


Apply below!

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.