Data Scientist - (Senior AI/ML Engineer)

JR United Kingdom; Bolton; Hybrid; GBP 75,000 - 100,000; Full time

Job summary

A leading company in Bolton seeks a Data Scientist/Senior AI/ML Engineer to develop intelligent language technologies and behavioral biometrics systems. With a focus on innovation in AI applications, this role offers a chance to make a significant impact while working within a hybrid environment. Candidates should have 4+ years of experience in data science, strong academic credentials, and proficiency in machine learning tools.

Qualifications

• 4+ years of experience in AI/ML engineering or data science.
• Strong academic background in relevant fields - MSc/PhD preferred.
• Proficiency in deploying AI solutions in production environments.

Responsibilities

• Design, train, and deploy advanced machine learning models.
• Lead prototypes' transition to scalable production systems.
• Collaborate across teams to align AI capabilities with applications.

Skills

Python

Machine Learning

Computational Linguistics

MLOps

Education

MSc/PhD in Machine Learning, Computer Science, Applied Maths, or related fields

Tools

Hugging Face

PyTorch

TensorFlow

Scikit-learn

AWS

GCP

Azure

Docker

Kubernetes

Job description

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Data Scientist - (Senior AI/ML Engineer), Bolton, Greater Manchester

Location: Bolton, Greater Manchester, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 8

Posted: 06.06.2025

Expiry Date: 21.07.2025

Job Description:

Location: Manchester – Hybrid (3 days in the office / Home working)

Salary: £75,000 - £100,000 base (dependent on experience)

Data Scientist - (Senior AI/ML Engineer) – Behavioural Biometrics / Data Science – Early Equity Opportunity

We’re looking for candidates with strong experience in Computational Linguistics to help build and refine intelligent language technologies, combining linguistic expertise with technical skills to drive innovation in NLP and AI applications.

Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling seamless, intelligent security systems that adapt in real time. With ambitious growth plans, this is an excellent opportunity to get in early and make a significant impact.

We’re seeking a Data Scientist / Senior AI/ML Engineer with a data science foundation, strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI systems from research to production.

The Opportunity - Data Scientist - Senior AI/ML Engineer:

As a senior member of this growing team, you’ll help architect and scale intelligent systems analyzing complex behavioural data (e.g., sensor, motion, touch, or biometric patterns). You will work across the full lifecycle, from R&D and prototyping to deployment, and help define the technical strategy as the company prepares to scale.

Key Responsibilities:

• Design, train, and deploy advanced machine learning and behavioural intelligence models.
• Lead the transition of prototypes into scalable, cloud-native production systems.
• Architect data pipelines and model-serving infrastructure (Docker, Kubernetes, MLOps).
• Work with large-scale time series and behavioural data from diverse sensors.
• Contribute to strategic technical decisions and mentor junior engineers.
• Collaborate cross-functionally with product, UX, and leadership teams to align AI capabilities with real-world applications.

What we are looking for:

• MANDATORY – Must be eligible for UK Government Security Clearance
• 4+ years in AI/ML engineering or data science roles, ideally within high-growth or research-driven environments.
• Strong academic background in Machine Learning, Computer Science, Applied Maths, Computational Linguistics, or related fields (MSc/PhD preferred).
• Exposure to computational linguistics is highly desirable, from both academic research and commercial perspectives.
• Proficiency in Python and ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn.
• Experience deploying AI solutions into production environments using AWS, GCP, or Azure.
• Hands-on experience with MLOps, CI/CD for ML, and model performance monitoring.
• Background in behavioural biometrics, human-computer interaction, or large-scale sensor/time-series data is a strong plus.
• A passion for human-centered AI, innovation, and applying research to real-world problems.