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

Apply Now

Machine Learning Scientist

TechChain Talent
City of London
6 days ago
Applications closed

Related Jobs

View all jobs

Machine Learning Scientist III - Rankings & Personalization

Machine Learning Scientist III - Rankings & Personalization...

Machine Learning Scientist - Cars

Machine Learning Scientist

Machine Learning Scientist

Machine Learning Scientist

Who We Are

We are a fast-growing software development organization made up of high-performing builders pushing the limits of whats possible. Our team contributes to large-scale, globally used products in the crypto and social technology space. We move quickly, operate with high ownership, and build for the future.


What Youll Do

As a Machine Learning Scientist, you will play a key role in applying AI and machine learning techniques to shape the next generation of our platforms. Youll collaborate with top-tier engineers and product teams to develop advanced models powering personalization, recommendations, search, and real-time decision-making.


Your responsibilities include:



  • Designing and developing machine learning models that improve user experience, enhance predictive performance, and enable smarter platform interactions


  • Helping build scalable data pipelines and leveraging large datasets to generate insights that influence product strategy


  • Assisting in developing and optimizing ML infrastructure to ensure scalability, efficiency, and readiness for production deployment


  • Working closely with product and engineering teams to integrate ML models into the platform with seamless, real-time performance


  • Monitoring, optimizing, and iterating on deployed models to ensure robustness in dynamic, real-world environments


  • Collaborating with engineering and data science teams to solve complex technical challenges, including large-scale, decentralized data processing
    Staying up to date with the latest research and industry advancements to introduce new ideas, techniques, and approaches



Who You Are

  • An experienced Machine Learning Scientist with strong foundations in algorithms, data structures, or statistical modelling
  • Proficient in Python, with hands-on experience deploying models into production environments
  • Comfortable maintaining ML infrastructure, including deployment pipelines, monitoring tools, and systems designed for scaling data and models (preferred)
  • Experienced in fast-paced, high-performance environments, ideally within high-growth start-up's or scaling tech companies
  • Passionate about leveraging machine learning to create real-world impact, with interest in emerging technologies such as blockchain, crypto, and SocialFi
  • A problem-solver who enjoys tackling complex challenges and experimenting with new technologies, especially those shaping decentralized applications
  • Highly collaborative, able to communicate technical concepts clearly to both technical and non-technical audiences
  • High-agency, ownership-driven, and capable of independently leading projects end-to-end

Please email for more information:


#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.

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.

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.

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.