Senior AI / ML Engineer

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

Job summary

A cutting-edge company in Manchester is seeking a Senior AI/ML Engineer to join their team focused on behavioral biometrics and intelligent language technologies. You'll play a crucial role in architecting scalable systems and driving innovation, utilizing your expertise in AI and computational linguistics, while contributing to impactful solutions in security technology. This position offers a competitive salary and an opportunity to make a significant impact in a rapidly growing company.

Qualifications

• 4+ years in AI/ML engineering or data science roles, ideally in high-growth environments.
• Strong academic background in related fields, MSc/PhD preferred.
• Proficiency in relevant programming and ML libraries.

Responsibilities

• Architect and scale systems analyzing behavioral data.
• Lead transition of prototypes to production systems.
• Mentor junior engineers and contribute to strategic decisions.

Skills

Computational Linguistics

Machine Learning

Data Science

Python

MLOps

Education

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

Tools

Hugging Face

PyTorch

TensorFlow

Scikit-learn

AWS

GCP

Azure

Docker

Kubernetes

Job description

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? Location: [Manchester – Hybrid 3 days in the office / Home working]

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

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 on the horizon, this is the ideal time to get in early and make a defining impact.

We’re seeking a 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 - 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.

• 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 - 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.