Data Scientist - (Senior AI/ML Engineer)

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

Job summary

An innovative firm is on the lookout for a Data Scientist/Senior AI/ML Engineer to drive the development of cutting-edge AI systems. This role offers the chance to work with complex behavioral data, from R&D to deployment, making a significant impact in a rapidly growing environment. If you have a strong academic background and experience in AI/ML engineering, this is a unique opportunity to shape the future of intelligent security systems. Join a dynamic team and be part of a transformative journey in the realm of behavioral biometrics and data science.

Qualifications

• 4+ years in AI/ML engineering or data science roles.
• Strong academic background in Machine Learning or related fields.

Responsibilities

• Design, train, and deploy advanced machine learning models.
• Lead the transition of prototypes into scalable production systems.
• Collaborate with product and UX teams to align AI capabilities.

Skills

Machine Learning

Python

AI Engineering

Data Science

MLOps

Education

MSc in Machine Learning

PhD in Computer Science

Tools

Docker

Kubernetes

AWS

GCP

Azure

Hugging Face

PyTorch

TensorFlow

Scikit-learn

Job description

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Client:

Location:

manchester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

PLEASE NOTE: UK GOVERNMENT SECURITY CLEARANCE IS A MANDATORY requirement FOR THIS ROLE. You need to be SC Clearable or SC Cleared (You MUST have continuously lived in the UK for 5+ years without sponsorship or visa)

? 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

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 on the horizon, this is the ideal time to get in early and make a defining 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 that analyse complex behavioural data (e.g. sensor, motion, touch, or biometric patterns). You'll work across the full lifecycle, from R&D and prototyping to robust deployment, and help define the technical strategy as the company prepares to scale.

Key Responsibilities - Data Scientist - Senior AI/ML Engineer:

• 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 to align AI capabilities with real-world applications.

What we are looking for - Data Scientist - Senior AI/ML Engineer:

• 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 a related field (MSc/PhD strongly preferred).
• Any candidates with exposure to computational linguistics are highly desirable, either from a research academic or commercial perspective.
• 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/Azure.
• Hands-on with MLOps, CI/CD for ML, and model performance monitoring.
• A background in behavioural biometrics, human-computer interaction, or large-scale sensor/time-series data is a strong plus.
• A passion for human-centred AI, innovation, and applying research in real-world contexts.