At a Glance
- Tasks: Design and deploy intelligent machine learning solutions to enhance operational efficiency.
- Company: Join Mitie, where our people are our greatest strength and innovation thrives.
- Benefits: Enjoy a supportive work environment with opportunities for growth and development.
- Other info: Collaborate with diverse teams in a dynamic environment focused on cutting-edge technology.
- Why this job: Make a real impact by turning complex problems into scalable, data-driven solutions.
- Qualifications: STEM degree or equivalent experience with strong skills in Python, SQL, and machine learning.
The predicted salary is between 50000 - 70000 € per year.
At Mitie, our people are our greatest strength, and our promise is to create a place to work where you can thrive and be your best every day. We are looking for a Machine Learning Developer to join our Insight function within the Data & AI team, helping to design, build and deploy intelligent, data‐driven solutions that improve operational efficiency and support better organisational decision‐making.
You will work on production‐grade machine learning and LLM‐enabled products, collaborating with a wide range of technical and non‐technical stakeholders to turn complex requirements into scalable, real‐world solutions.
Role Responsibilities:- Develop, deploy and maintain machine learning models using Python, in line with engineering, governance and security standards.
- Query, transform and optimise data using SQL and SparkSQL to support advanced analytics and modelling.
- Apply LLMs, embeddings and natural language processing techniques to enhance analytical capability and insight.
- Build and support cloud‐based data and ML workflows using Azure, Microsoft Fabric or equivalent platforms.
- Translate business problems into clear analytical and technical specifications, ensuring solutions align with user needs.
- Communicate complex technical concepts clearly to both technical and non‐technical audiences.
- Ensure high standards of code quality, documentation and maintainability across all solutions.
- A STEM degree or equivalent experience, with a strong mathematical, analytical or software‐focused background.
- Proven experience using Python, SQL and SparkSQL in data or ML‐focused roles.
- Strong understanding of machine learning concepts and experience using common ML libraries such as scikit‐learn, TensorFlow or PyTorch, alongside packages such as NumPy and Pandas.
- Knowledge of natural language processing techniques and API integration patterns for ML services.
- Experience delivering projects end‐to‐end, from initial concept through to production deployment.
- Ability to manage competing priorities, work independently and collaborate effectively with stakeholders.
- Experience with Microsoft Fabric, Azure Machine Learning or similar enterprise cloud platforms.
- Exposure to MLOps practices, lifecycle management and large‐scale or distributed compute environments.
- Familiarity with agentic AI concepts and frameworks such as LangChain, AutoGen or CrewAI, with an interest in developing deeper expertise.
Machine Learning Engineer in West Bromwich employer: Mitie
At Mitie, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Machine Learning Engineer in our Data & AI team, you'll have the opportunity to work on cutting-edge projects that not only enhance your technical skills but also contribute to meaningful organisational improvements. With a strong emphasis on employee development, collaboration, and a commitment to high standards, Mitie is an excellent employer for those looking to make a significant impact in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in West Bromwich
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python, SQL, and SparkSQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining our team. Plus, it shows you're proactive and keen to be part of our mission.
We think you need these skills to ace Machine Learning Engineer in West Bromwich
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, SQL, and any relevant ML projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team. Don't forget to mention any specific projects or experiences that relate to the job description.
Showcase Your Projects:If you've got any personal or professional projects that demonstrate your machine learning skills, make sure to include them. We love seeing real-world applications of your work, especially if they involve LLMs or cloud-based solutions!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you'll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at Mitie
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and SparkSQL skills. Be ready to discuss specific projects where you've used these technologies, especially in machine learning contexts. The more you can demonstrate your hands-on experience with libraries like TensorFlow or PyTorch, the better!
✨Understand the Business Side
It's not just about the tech! Familiarise yourself with how machine learning can solve real business problems. Think of examples where you've translated complex requirements into actionable solutions. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or describe how you'd approach a project from start to finish. Practise articulating your thought process clearly, as this will highlight your analytical skills and ability to manage competing priorities.
✨Show Your Passion for Learning
With the fast-paced nature of AI and machine learning, it's crucial to convey your enthusiasm for continuous learning. Mention any recent courses, certifications, or personal projects related to LLMs or agentic AI concepts. This will demonstrate your commitment to staying ahead in the field.
