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- Tasks: Join us as a Machine Learning Engineer to deploy and enhance ML models using Databricks.
- Company: Citation is a dynamic company focused on delivering top-notch HR and Health and Safety services.
- Benefits: Enjoy 25 days holiday, birthday off, gym discounts, healthcare, and pension contributions.
- Why this job: Be part of a collaborative team that values innovation, autonomy, and making a real impact.
- Qualifications: Experience with ML model deployment, Python, SQL, and familiarity with Databricks or similar platforms.
- Other info: We foster a supportive culture without office politics, encouraging ownership and teamwork.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Company: The Citation Group
Position: Machine Learning Engineer
Location: Wilmslow / Remote
Type: Full-time – Permanent
We’re looking for a Machine Learning Engineer to help us deploy, maintain, and continuously improve our machine learning models in production. As part of the Data Science & AI team you'll be working primarily with Databricks and contributing to the robustness, scalability, and efficiency of our ML workflows. Beyond deployment, this role will give you the opportunity to explore emerging technologies, including Generative AI and agentic AI tools, and recommend new ways of doing things better, faster, and smarter. You’ll be part of a collaborative, forward-thinking team that values experimentation, autonomy, and clear impact.
Key Responsibilities
- Design, deploy, monitor, and maintain machine learning models in production using Databricks.
- Collaborate with data scientists, data engineers, and software developers to operationalise models.
- Own and improve model lifecycle management including versioning, performance monitoring, and retraining strategies.
- Write clear, maintainable code primarily in Python and SQL.
- Contribute to our codebase and review others’ work using GitHub.
- Evaluate new tools, frameworks, and processes to optimise ML infrastructure and workflows.
- Test and experiment with emerging AI technologies, including Generative AI and agentic frameworks, and report on their potential business value.
Minimum Requirements
- Experience deploying and maintaining ML models in production.
- Solid hands-on experience with Python and SQL.
- Practical knowledge of Databricks or similar platforms (e.g. SageMaker, Vertex AI, Azure ML).
- Comfortable working with Git and GitHub-based workflows.
- Strong problem-solving mindset and a proactive approach to automation and scaling.
- Ability to communicate clearly and collaborate across cross-functional teams.
Nice to Have
- Familiarity with MLOps tools such as MLflow, DVC, Airflow, or Kubeflow.
- Experience working with large language models or other Generative AI tools.
- Exposure to agentic AI concepts and implementations.
- Knowledge of cloud infrastructure (AWS, GCP, or Azure).
- Experience with CI/CD for ML pipelines.
- Experience with PySpark.
About Us:
We are Citation. Our colleagues bring their brilliant selves to work every day, and we create an environment where they can shine. We don’t do office politics or "that’s not my job." We listen, support, and take ownership.
For over 20 years, we have been proudly delivering valuable HR and Health and Safety services to SME’s across the UK. We are passionate about service and on a mission to revolutionise our colleague’s and client’s experience by employing brilliant people who are experts at what they do and smile while they are doing it.
Working for Citation, you will have access to 25 days of holiday, plus your birthday off work, gym membership discount, healthcare, childcare vouchers, the opportunity to purchase extra leave, pension contributions, and more.
It’s a great place to work because of the people we employ. Fun and professional, we want likeminded individuals who love their job and want the Company to succeed. If our culture sounds like a good fit for you and you want to be part of our success story, then send us your details.
Machine Learning Engineer employer: The Citation Group
Contact Detail:
The Citation Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its functionalities. Since this role heavily involves deploying and maintaining ML models using this platform, having hands-on experience or completing relevant tutorials can give you a significant edge.
✨Tip Number 2
Engage with the Machine Learning community online. Participate in forums, attend webinars, or join relevant groups on platforms like LinkedIn. This will not only enhance your knowledge but also help you network with professionals who might provide insights or referrals.
✨Tip Number 3
Showcase your problem-solving skills by working on personal projects or contributing to open-source initiatives. Highlighting your ability to tackle real-world challenges with Python and SQL will demonstrate your practical experience and proactive mindset.
✨Tip Number 4
Stay updated on emerging AI technologies, especially Generative AI and agentic frameworks. Being knowledgeable about these trends can set you apart during discussions and interviews, showing your enthusiasm for innovation in the field.
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 deploying and maintaining machine learning models, particularly with Python and SQL. Emphasise any hands-on experience with Databricks or similar platforms.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company culture. Mention specific projects or experiences that demonstrate your problem-solving mindset and proactive approach to automation and scaling.
Showcase Collaboration Skills: Since the role involves working with cross-functional teams, include examples of past collaborations in your application. Highlight how you’ve effectively communicated and contributed to team projects.
Highlight Continuous Learning: Mention any recent courses, certifications, or personal projects related to emerging AI technologies, such as Generative AI or MLOps tools. This shows your commitment to staying updated in the field.
How to prepare for a job interview at The Citation Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with deploying and maintaining machine learning models, particularly in production environments. Highlight your proficiency in Python and SQL, and be ready to provide examples of how you've used Databricks or similar platforms.
✨Demonstrate Collaboration
Since the role involves working closely with data scientists, data engineers, and software developers, emphasise your ability to collaborate effectively. Share specific instances where you’ve successfully worked in cross-functional teams to operationalise models.
✨Discuss Emerging Technologies
The company values innovation, so be sure to talk about any experience you have with Generative AI or agentic AI tools. Discuss how you’ve evaluated new technologies and their potential business value, as this aligns with the company's forward-thinking approach.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving mindset and proactive approach to automation and scaling. Prepare to discuss challenges you've faced in previous roles and how you overcame them, particularly in relation to model lifecycle management and performance monitoring.
