At a Glance
- Tasks: Lead the development of impactful machine learning solutions and mentor junior engineers.
- Company: Join top tech consultancies at the forefront of innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic teams with multiple opportunities across various industries.
- Why this job: Make a real difference by solving complex business challenges with cutting-edge ML technology.
- Qualifications: Extensive ML experience, proficiency in Python, and strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
We are currently partnering with several leading technology consultancies and data-driven enterprises who are looking for experienced Machine Learning Engineers to join their high-performing teams. These organisations are at the forefront of innovation, offering the chance to work on complex, real-world business challenges where your expertise in production-grade ML systems will have a tangible impact.
In this position, you will bridge the gap between data science and software engineering, taking ownership of the end-to-end ML lifecycle from initial architecture and data pipeline construction to model training, deployment, and ongoing monitoring. You will define technical strategy, implement robust MLOps practices, and optimise infrastructure to ensure scalable and reliable solutions while mentoring junior engineers and collaborating closely with cross-functional stakeholders.
What We're Looking For
- Extensive experience building and deploying machine learning models in production environments.
- Proficiency in Python and major ML frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Strong understanding of MLOps, CI/CD pipelines, and containerisation technologies (Docker, Kubernetes).
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable infrastructure design.
- Ability to design and maintain robust data pipelines (ETL/ELT) and feature stores.
- Proven track record in technical leadership, mentoring, and guiding engineering teams.
- Deep knowledge of ML system design, software architecture, and performance optimisation.
- Strong communication skills with experience in stakeholder management and cross-functional collaboration.
If you are a senior practitioner ready to lead impactful AI initiatives, we would love to hear from you. Please submit your CV today; as we work with multiple clients across the industry, we have several similar opportunities available and would be happy to discuss which role best aligns with your career aspirations.
Senior/Lead Machine Learning Engineer in Grimsby employer: Myn
Join a dynamic and innovative technology consultancy that prioritises employee growth and collaboration. With a strong focus on cutting-edge machine learning projects, you will have the opportunity to work alongside industry leaders in a supportive environment that fosters continuous learning and mentorship. Our commitment to a healthy work-life balance and flexible working arrangements makes this an ideal place for talented professionals looking to make a meaningful impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior/Lead Machine Learning Engineer in Grimsby
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those working in machine learning. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨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 impress potential employers.
✨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 cross-functional teams.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities waiting for you, and applying directly can give you a better chance of landing that dream role in machine learning.
We think you need these skills to ace Senior/Lead Machine Learning Engineer in Grimsby
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in ML systems, Python, and any relevant frameworks like PyTorch or TensorFlow. We want to see how you can bridge the gap between data science and software engineering!
Showcase Your Projects:Include specific examples of projects where you've built and deployed machine learning models. Talk about the challenges you faced and how you overcame them. This will help us understand your hands-on experience and technical leadership capabilities.
Highlight MLOps Experience:Since MLOps is a key part of the role, make sure to mention your experience with CI/CD pipelines, containerisation technologies, and cloud platforms. We’re keen to see how you’ve implemented robust practices in your previous roles.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for easy reading and ensure your communication skills shine through. We appreciate straightforwardness and clarity, so let’s make it easy for us to see your potential!
How to prepare for a job interview at Myn
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of major ML frameworks like PyTorch, TensorFlow, and Scikit-learn. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your MLOps Expertise
Since the role involves defining technical strategy and implementing MLOps practices, prepare to talk about your experience with CI/CD pipelines and containerisation technologies like Docker and Kubernetes. Have examples ready that demonstrate how you've optimised ML systems in production.
✨Highlight Your Leadership Skills
This position requires mentoring junior engineers and collaborating with cross-functional teams. Think of instances where you've led a project or guided a team, and be prepared to share how you fostered collaboration and drove results.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you'll need to engage with stakeholders who may not have a technical background. Clear communication can set you apart from other candidates.
