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- Tasks: Join us to design and deploy cutting-edge AI systems that analyse complex behavioural data.
- Company: Be part of a pioneering company creating intelligent security systems using advanced AI and behavioural biometrics.
- Benefits: Enjoy a hybrid work model, competitive salary, and early equity opportunities in a growing tech environment.
- Why this job: Make a significant impact in AI innovation while collaborating with a dynamic team in a fast-paced industry.
- Qualifications: 4+ years in AI/ML roles, strong academic background, and proficiency in Python and ML libraries required.
- Other info: Must be eligible for UK Government Security Clearance; passion for human-centred AI is a plus.
The predicted salary is between 60000 - 84000 £ per year.
Location: Manchester – Hybrid 3 days in the office / Home working
Salary: £75,000 - £100,000 base (dependent on experience)
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 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:
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:
- 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:
- 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.
Data Scientist - (Senior AI/ML Engineer) employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - (Senior AI/ML Engineer)
✨Tip Number 1
Make sure to showcase your experience with AI/ML engineering and data science in your conversations. Highlight specific projects where you've built and deployed AI systems, especially those that relate to behavioural biometrics or computational linguistics.
✨Tip Number 2
Network with professionals in the field of AI and machine learning. Attend relevant meetups or conferences, and connect with people who work in similar roles. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in NLP and AI applications. Being able to discuss recent advancements or tools like Hugging Face, PyTorch, and TensorFlow during interviews will demonstrate your passion and expertise.
✨Tip Number 4
Prepare to discuss your approach to mentoring junior engineers and collaborating cross-functionally. Companies value candidates who can lead and work well with others, so be ready to share examples of how you've done this in past roles.
We think you need these skills to ace Data Scientist - (Senior AI/ML Engineer)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML engineering and data science. Emphasise any projects related to computational linguistics, machine learning models, and deployment in production environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for human-centred AI and innovation. Mention specific experiences that align with the job responsibilities, such as leading projects or mentoring junior engineers.
Highlight Relevant Skills: In your application, clearly list your proficiency in Python and ML libraries like Hugging Face, PyTorch, and TensorFlow. Also, mention your experience with cloud platforms like AWS, GCP, or Azure, as well as MLOps practices.
Showcase Your Academic Background: If you have an MSc or PhD, make sure to highlight this in your application. Discuss any relevant research or projects that demonstrate your expertise in machine learning, computational linguistics, or behavioural biometrics.
How to prepare for a job interview at 55 Exec Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and ML libraries like Hugging Face, PyTorch, and TensorFlow. Bring examples of projects where you've deployed AI solutions into production, as this will demonstrate your hands-on expertise.
✨Highlight Your Academic Background
Since a strong academic foundation is crucial for this role, be ready to talk about your MSc or PhD work. Discuss any research related to computational linguistics or machine learning that showcases your depth of knowledge.
✨Demonstrate Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. This could include transitioning prototypes into scalable systems or working with complex behavioural data.
✨Express Your Passion for Human-Centred AI
Convey your enthusiasm for applying AI in real-world contexts, especially in relation to behavioural biometrics and human-computer interaction. This will show that you're not just technically skilled but also aligned with the company's mission.
