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

Apply Now

Data Scientist

iO Associates
Manchester
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist
Location:Manchester (Hybrid - 2 to 3 days on-site)
Salary:Up to £55,000 + benefits
Industry:eCommerce

I'm recruiting on behalf of a fast-growing eCommerce business in Manchester that's looking for a Data Scientist to join their team. It's a hands-on role with a real opportunity to build and deploy machine learning models that directly impact how they serve and retain customers.

They've got rich datasets from web traffic, transactions, and customer behaviour and they're keen to turn that into smarter recommendations, better pricing strategies, and predictive insights that drive growth.

You'll be leading on end-to-end model development: exploring the data, experimenting with algorithms, tuning performance, and deploying models into production. This isn't a research role, they want someone who enjoys solving real business problems and seeing their work make a difference.

What they're looking for:

Strong Python skills and experience with ML libraries like scikit-learn, TensorFlow or PyTorch

A good understanding of the full ML lifecycle - from data wrangling to live deployment

Comfortable working with both structured and unstructured datasets

Ideally some experience deploying models via APIs or using cloud platforms like AWS or GCP

Bonus if you have:

Experience of Regression Modelling, Time Series Forecasting and Cluster Modelling

Familiarity with recommendation systems, customer segmentation or demand forecasting

They're a collaborative bunch, data has real buy-in across the business, and you'll be working closely with product managers, marketers, and engineers. It's a great opportunity to join a business that's scaling up fast, with plenty of room to grow your career as they expand.

If it sounds like a fit, drop me a message and I'll tell you more.

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.