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- Tasks: Develop and deploy machine learning models to enhance automation and decision-making.
- Company: Join a pioneering UK company in AI and finance transformation, driving digital innovation.
- Benefits: Enjoy a competitive salary, opportunities for growth, and a collaborative work culture.
- Other info: Work in a friendly environment with real ownership and a focus on learning.
- Why this job: Be part of impactful projects that shape the future of automation and AI.
- Qualifications: 2+ years in machine learning, strong Python skills, and a degree in a related field.
The predicted salary is between 34000 - 42000 £ per year.
We are a UK-based pioneer in intelligent automation, AI, and finance transformation—working at the forefront of digital innovation across sectors like accounting and hospitality. Our solutions are delivering real-world impact, helping organisations streamline manual processes, drive efficiency, and unlock strategic value.
We’re now looking for a Machine Learning Engineer to join our growing Glasgow-based team. This is a chance to be part of a fast-moving, forward-thinking company applying AI and ML to complex operational challenges—making work faster, smarter, and more valuable.
What You’ll Do:
- Develop, train, and deploy machine learning models to enhance automation and decision-making
- Contribute to AI solutions for major clients in accounting and hospitality
- Work with structured and unstructured data to create predictive and prescriptive insights
- Collaborate with analysts, developers, and client-facing teams to deliver impactful solutions
- Help shape and evolve the ML capabilities of the business, with a focus on scalable deployment
What We’re Looking For:
- 2+ years of experience building and deploying machine learning models
- Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience with model evaluation, tuning, and productionisation
- Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker)
- A collaborative mindset, strong problem-solving skills, and a desire to learn
- A degree in Computer Science, Data Science, or a related discipline
Why Join Us?
- Competitive salary of £40,000 - £50,000, depending on experience
- Work with a mission-driven team on cutting-edge, high-impact projects
- Opportunities to learn and grow in a rapidly scaling business
- Friendly, innovative, and collaborative culture with real ownership on offer
If you’re excited about building intelligent systems that make a difference—this is your opportunity to shape the future of automation and AI in business.
Contact Detail:
In Technology Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the specific machine learning frameworks mentioned in the job description, such as scikit-learn, TensorFlow, and PyTorch. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical proficiency during interviews.
✨Tip Number 2
Showcase any projects or contributions you've made that involve deploying machine learning models, especially in cloud environments like Azure, AWS, or GCP. Being able to discuss real-world applications of your skills can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and machine learning community, particularly those who work in sectors like accounting and hospitality. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your problem-solving approach and collaborative experiences in previous roles. The company values a collaborative mindset, so be ready to share examples of how you've worked effectively in teams to tackle complex challenges.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, programming skills in Python, and familiarity with ML frameworks. Use specific examples of projects you've worked on that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Mention how your skills and experiences make you a great fit for the role and the company’s mission. Be sure to address how you can contribute to their projects in accounting and hospitality.
Showcase Your Projects: If you have any personal or professional projects related to machine learning, include them in your application. Provide links to GitHub repositories or any published work that demonstrates your ability to develop and deploy models.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in the field of machine learning.
How to prepare for a job interview at In Technology Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and machine learning frameworks like scikit-learn, TensorFlow, or PyTorch. Bring examples of projects where you've built and deployed models, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Focus
Research the company’s work in intelligent automation and AI, particularly in sectors like accounting and hospitality. Showing that you understand their mission and how your skills can contribute will set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Be ready to explain your approach to model evaluation, tuning, and productionisation, as well as how you handle structured and unstructured data.
✨Emphasise Collaboration
Highlight your collaborative mindset and experiences working with cross-functional teams. Discuss how you’ve successfully partnered with analysts, developers, or client-facing teams to deliver impactful solutions, as teamwork is key in this role.