At a Glance
- Tasks: Develop and deploy ML models to solve real-world challenges in a dynamic SaaS environment.
- Company: Fast-growing, data-driven SaaS organisation focused on predictive analytics and AI solutions.
- Benefits: Up to £60k salary, share options, private medical insurance, and 24 days annual leave.
- Other info: Exciting opportunity for career growth in a fast-paced, innovative team.
- Why this job: Make a real impact with your ML skills while working on meaningful projects.
- Qualifications: 5+ years in Data Science or Machine Learning, strong Python skills, and collaborative mindset.
The predicted salary is between 60000 - 60000 € per year.
Enso Recruitment is proud to be working with a fast-growing, data-driven SaaS organisation delivering predictive analytics and AI solutions to critical infrastructure sectors. Their platform uses advanced data science, machine learning, and cloud technologies to solve real-world operational and environmental challenges.
The Opportunity
This is a hands-on, delivery-focused role suited to a Senior Machine Learning Engineer who enjoys taking ownership of problems from ideation through to deployment. You’ll contribute to the design, development, and scaling of predictive models that operate on complex time-series, environmental, and sensor-based datasets. The role offers the opportunity to work on meaningful, real-world challenges where your models will directly influence product outcomes and customer impact.
Key Responsibilities
- Develop and deploy predictive ML models within a cloud-based SaaS platform
- Perform exploratory data analysis and visualisation on large-scale datasets
- Design scalable feature engineering and data transformation pipelines
- Work with time-series, geospatial, and environmental sensor data
- Lead the development of new ML-driven product features from proof-of-concept to production
- Collaborate closely with domain experts to shape modelling approaches
- Present insights and technical findings to both internal and external stakeholders
- Contribute to CI/CD workflows and continuous delivery practices
- Support testing, debugging, and optimisation of deployed models
- Continuously identify opportunities for improvement across modelling processes
About You
- 5+ years’ experience in Data Science, Machine Learning Engineering, or a related discipline
- Strong Python expertise (Pandas, Scikit-learn or similar ML frameworks)
- Experience with data exploration, analysis, and visualisation
- Experience building and deploying predictive models in production environments
- Strong understanding of feature engineering and data transformation
- Ability to conceptualise solutions and communicate clearly to stakeholders
- Collaborative mindset with the ability to operate in a fast-paced, growing environment
- Curious, proactive, and passionate about applying ML to real-world problems
Benefits
- Salary - Up to £60k
- Share options
- Private medical insurance (including dental & optical)
- Pension
- 24 days annual leave plus statutory holidays
- Birthday leave
- Enhanced parental leave
- On-site parking
To find out more about this opportunity, hit Apply or reach out to a member of the Enso Recruitment team today!
Senior Machine Learning Engineer in Dartford employer: Enso Recruitment
Join a dynamic and innovative SaaS organisation that is at the forefront of delivering predictive analytics and AI solutions to critical infrastructure sectors. As a Senior Machine Learning Engineer, you will thrive in a collaborative work culture that values ownership and creativity, while enjoying competitive benefits such as private medical insurance, share options, and generous leave policies. This role not only offers the chance to tackle meaningful challenges but also provides ample opportunities for professional growth in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in Dartford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Machine Learning Engineer in Dartford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with predictive models, Python expertise, and any relevant projects that showcase your skills in data science and machine learning.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about applying ML to real-world problems and how your background aligns with the company's mission. Keep it concise but impactful!
Showcase Your Projects:If you've worked on any interesting projects, especially those involving time-series or environmental data, make sure to mention them. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Enso Recruitment
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and frameworks, especially Python libraries like Pandas and Scikit-learn. Be ready to discuss your past projects and how you've applied these tools to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Highlight your experience with predictive models and feature engineering, as this will demonstrate your hands-on approach and ownership of projects.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You'll need to present insights to both technical and non-technical stakeholders, so being able to communicate effectively is key. Think about how you can make your findings relatable.
✨Be Ready for Collaboration
This role involves working closely with domain experts, so be prepared to discuss how you've collaborated in the past. Share examples of how you’ve worked in teams to develop and deploy models, and show that you're a team player who thrives in a fast-paced environment.
