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- Tasks: Design and deploy advanced AI systems while mentoring junior engineers.
- Company: Join a cutting-edge firm revolutionising digital security with behavioural biometrics and AI.
- Benefits: Enjoy a hybrid work model, competitive salary, and early equity opportunities.
- Why this job: Make a significant impact in a growing team focused on innovative AI solutions.
- Qualifications: 4+ years in AI/ML, strong academic background, and proficiency in Python and ML libraries required.
- Other info: UK Government Security Clearance is mandatory; must have lived in the UK for 5+ years.
The predicted salary is between 60000 - 84000 £ per year.
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)
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 will 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 - 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 - 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.
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning/AI Engineer
✨Tip Number 1
Make sure you understand the requirements for UK Government Security Clearance. Since it's mandatory for this role, be prepared to discuss your residency in the UK and how you've met the criteria over the past five years.
✨Tip Number 2
Familiarise yourself with the latest advancements in behavioural biometrics and AI technologies. Being able to discuss recent trends or innovations in these areas during your interview will demonstrate your passion and expertise.
✨Tip Number 3
Network with professionals in the AI/ML field, especially those who have experience in high-growth environments. Engaging with industry peers can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Prepare to showcase your hands-on experience with MLOps and cloud platforms like AWS, GCP, or Azure. Be ready to discuss specific projects where you've deployed AI solutions, as practical examples will strengthen your candidacy.
We think you need these skills to ace Senior Machine Learning/AI Engineer
Some tips for your application 🫡
Understand Security Clearance Requirements: Since UK Government Security Clearance is mandatory for this role, ensure you clearly state your eligibility in your application. Mention your continuous residency in the UK for the past 5+ years without sponsorship or visa.
Highlight Relevant Experience: Emphasise your experience in AI/ML engineering or data science roles, particularly in high-growth or research-driven environments. Provide specific examples of projects where you've built and deployed AI systems from research to production.
Showcase Technical Skills: List your proficiency in Python and relevant ML libraries such as Hugging Face, PyTorch, TensorFlow, and Scikit-learn. Include any experience with cloud platforms like AWS, GCP, or Azure, and mention your familiarity with MLOps and CI/CD processes.
Express Passion for Human-Centred AI: Convey your enthusiasm for human-centred AI and innovation. Discuss how your background in behavioural biometrics or human-computer interaction aligns with the company's mission to create intelligent security systems.
How to prepare for a job interview at 55 Exec Search
✨Understand Security Clearance Requirements
Make sure you are well-versed in the UK Government Security Clearance process, as this is a mandatory requirement for the role. Be prepared to discuss your eligibility and how your background aligns with the continuous residency requirement.
✨Showcase Your Technical Expertise
Be ready to demonstrate your proficiency in Python and relevant ML libraries like Hugging Face, PyTorch, and TensorFlow. Prepare examples of past projects where you've successfully deployed AI solutions into production environments.
✨Highlight Your Experience with Behavioural Data
Since the role involves working with complex behavioural data, come prepared to discuss any experience you have with large-scale time series data or behavioural biometrics. Share specific instances where you've applied this knowledge in real-world scenarios.
✨Emphasise Collaboration and Mentorship
As a senior engineer, you'll be expected to mentor junior team members and collaborate cross-functionally. Think of examples that showcase your leadership skills and ability to work effectively with product and UX teams to align AI capabilities with practical applications.
