Data Scientist

The Abbey; Manchester; Hybrid; GBP 63,000 - 77,000; Full time

Benefits offered by this job

Hybrid work

International client exposure

Competitive salary

Job summary

The Abbey in Manchester is seeking a Data Scientist to design, build and deploy ML solutions across client projects. This hands-on role emphasizes end‑to‑end model development, from experimentation to production release, with hybrid work in the office two days per week.

You will work on computer vision, ML and AI models, applying regression, tree-based, and neural network methods, and collaborating with cross-functional teams to drive data-driven decisions.

Qualifications

• 3+ years in data analysis, computer vision, ML, or statistical modelling.
• Practical experience deploying ML models.
• Strong Python with ML libraries (NumPy, pandas, scikit-learn, PyTorch or TensorFlow).
• Solid statistics and data preparation.
• SQL and Git familiarity.
• Comfortable with Windows or Linux.
• Fluent English for international collaboration.

Responsibilities

• Design and develop CV, ML, and AI models (predictive, classification, recommendation, LLM-based).
• Select and optimise algorithms (regression, trees, neural nets).
• Integrate models into production environments (cloud or on-premise).
• Clean data, engineer features, and validate models.
• Work with clients and internal teams to turn analysis into decisions.

Skills

Python

NumPy

Pandas

Scikit-learn

PyTorch/TensorFlow

SQL

Git

Tools

Docker

MLflow

Airflow

AWS

GCP

Azure

Job description

Data Scientist

Date Posted: 2026-09-19

Location: Abbey Hey, Greater Manchester, GB, M18 8

Application Deadline: 2026-10-18

Job Description

Data Scientist - Machine Learning Manchester | Hybrid (2 days in office) | Up to £70,000

We are hiring a Data Scientist for a specialist AI and machine learning company that takes research-grade models into production for international clients in the UK, Europe, and the US.

This is a hands-on role. You will design, build, and deploy ML solutions end to end - from exploration and experimentation through to models that are actually used.

The role

• Design and develop CV, ML, and AI models (predictive, classification, recommendation, and LLM-based)
• Select and optimise algorithms, including regression, tree-based methods, and neural networks
• Integrate models into production environments, cloud or on-premise
• Clean data, engineer features, and validate models
• Work with clients and internal teams to turn analysis into decisions

What you will need

• 3+ years in data analysis, computer vision, machine learning, or statistical modelling
• Practical experience deploying ML models
• Strong Python (NumPy, pandas, scikit-learn, matplotlib, plus PyTorch or TensorFlow)
• Solid statistics and data preparation
• SQL and Git
• Comfortable working on Windows or Linux
• Fluent English for international collaboration
• Useful, not essential: LLMs or time series, Computer Vision, Docker, MLflow, Airflow, AWS, GCP or Azure, Research / R&D background, Experience in cross-functional or international teams

What they offer

• Production AI work with real operational impact
• International client exposure
• Hybrid working - two days a week in the Manchester office
• Salary up to £65,000
• A practical, engineering-led culture