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- Tasks: Transform complex behavioural data into intelligent systems and deploy machine learning models.
- Company: Join a vibrant early tech start-up in Manchester focused on AI and behavioural biometrics.
- Benefits: Enjoy hybrid working, competitive salary, and potential equity consideration.
- Why this job: Be part of an innovative team shaping the future of AI and make a meaningful impact.
- Qualifications: 2+ years in AI/ML engineering, proficiency in Python, and experience with cloud platforms.
- Other info: Opportunity to join during seed growth stage and influence the company's direction.
The predicted salary is between 40000 - 64000 £ per year.
Location: Manchester - Hybrid / Home working
Job Type: Full-time
Salary: £50,000 - £80,000 base
We are looking for a mid-level AI / Machine Learning Engineer to join a vibrant early tech start-up in Manchester. Do you love turning machine learning models into intelligent, real-world applications? This is your chance to join a cutting-edge start-up team shaping the brainpower behind Behavioural biometrics and AI. Our client leverages behavioural biometric interactions and powerful AI to create unique user profiles for seamless security.
We are looking for candidates with expertise in sensor-based data, large behaviour data, or behavioural biometrics. Ideal applicants will have experience analysing and interpreting complex behavioural data to drive insights and innovation. You will be a skilled professional with a strong history of turning prototypes into robust, production-ready solutions that drive meaningful impact. This is your chance to join the early stages of growth and play a key role in shaping the future before they scale globally.
The Role:
- As an AI / ML Engineer, you’ll transform complex behavioural data into responsive, intelligent, and scalable systems that think and adapt in real time.
- Architect and deploy machine learning models from idea to production.
- Build robust APIs and microservices to serve AI models at scale.
- Integrate behavioural intelligence models across cloud platforms (AWS, GCP, Azure).
- Set up end-to-end MLOps pipelines: monitoring, retraining, and automation.
- Collaborate with cross-functional teams to align tech with user-centric product design.
What We’re Looking For:
- 2+ years in AI/ML engineering or backend software roles with ML components.
- Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn.
- Experience deploying models with Docker, Kubernetes, or serverless architectures.
- Solid grasp of MLOps workflows, versioning, and cloud automation.
- Strong foundations in algorithms, data structures, and system design.
- Bonus: Familiarity with behavioural biometrics, sensor-based or time series data.
- An entrepreneurial mindset—curious, autonomous, and passionate about human-centred AI.
Artificial Intelligence Engineer (Manchester) employer: 55 Exec Search
Contact Detail:
55 Exec Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer (Manchester)
✨Tip Number 1
Network with professionals in the AI and machine learning field, especially those who have experience in behavioural biometrics. Attend local meetups or online webinars to connect with like-minded individuals and learn about the latest trends in the industry.
✨Tip Number 2
Showcase your practical experience by working on personal projects or contributing to open-source initiatives related to AI and machine learning. This not only enhances your skills but also provides tangible examples to discuss during interviews.
✨Tip Number 3
Familiarise yourself with the specific technologies mentioned in the job description, such as Docker, Kubernetes, and cloud platforms like AWS or GCP. Having hands-on experience with these tools can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems that focus on AI/ML applications. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills and get comfortable with algorithmic thinking.
We think you need these skills to ace Artificial Intelligence Engineer (Manchester)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning. Focus on projects where you've transformed machine learning models into real-world applications, especially those involving behavioural biometrics or sensor-based data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with the company's mission. Mention specific technologies you’ve worked with, like Python, PyTorch, or TensorFlow, and how they relate to the role.
Showcase Your Projects: If you have any personal or professional projects that demonstrate your ability to deploy machine learning models or work with MLOps, include them in your application. This could be through links to GitHub repositories or detailed descriptions in your CV.
Highlight Soft Skills: Don’t forget to mention your soft skills, such as collaboration and communication. The role requires working with cross-functional teams, so showcasing your ability to align tech with user-centric design will make your application stand out.
How to prepare for a job interview at 55 Exec Search
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and frameworks like PyTorch or TensorFlow. Bring examples of projects where you've deployed machine learning models, especially if you can highlight your use of Docker or Kubernetes.
✨Understand the Company’s Vision
Research the start-up's focus on behavioural biometrics and AI. Be ready to explain how your skills can contribute to their mission of creating unique user profiles for security, demonstrating your alignment with their goals.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your understanding of algorithms, data structures, and MLOps workflows. Practice explaining your thought process clearly, as this will showcase your analytical skills and problem-solving abilities.
✨Demonstrate Your Collaborative Spirit
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your ability to align technical solutions with user-centric design, showing that you value teamwork.
