Data Scientist - (Senior AI/ML Engineer)

ZipRecruiter; Manchester; Hybrid; GBP 75,000 - 100,000; Full time

Job summary

An established industry player seeks a Data Scientist/Senior AI/ML Engineer to join their innovative team. This role offers a unique opportunity to work on cutting-edge behavioural biometric systems, leveraging advanced AI to create intelligent security solutions. You will be instrumental in architecting and scaling systems that analyze complex data, from research to deployment. With a strong emphasis on collaboration, you will shape the technical strategy while mentoring junior engineers. If you are passionate about human-centred AI and eager to make a significant impact, this position is perfect for you.

Qualifications

• 4+ years in AI/ML engineering or data science roles.
• Strong academic background in Machine Learning or related fields.
• Experience deploying AI solutions into production environments.

Responsibilities

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

Skills

Python

Machine Learning

AI Engineering

Data Science

MLOps

Cloud Services (AWS/GCP/Azure)

CI/CD

Behavioural Biometrics

Education

MSc in Machine Learning or related field

PhD in Computer Science or related field

Tools

Hugging Face

PyTorch

TensorFlow

Scikit-learn

Docker

Kubernetes

Job description

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 ), 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- 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 ).
• 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.