At a Glance
- Tasks: Lead the development of machine learning capabilities and deliver scalable AI solutions.
- Company: Professional services firm with a growing data and AI team.
- Benefits: Up to £95k salary, bonus, remote work, and potential for permanent role.
- Other info: Dynamic role with clear career progression and technical leadership opportunities.
- Why this job: Shape the future of ML engineering and work on cutting-edge AI projects.
- Qualifications: Strong ML engineering experience, expertise in Python, and cloud environments.
The predicted salary is between 95000 - 95000 € per year.
A professional services firm is looking for a Lead Machine Learning Engineer to join its growing data and AI team. This is a key role focused on building and leading ML engineering capability, delivering scalable AI solutions, and shaping the organisation's data and AI strategy.
The role
- Lead the development of machine learning engineering capability across the business
- Design, build, and productionise ML models and data products
- Develop and implement MLOps frameworks (CI/CD, model deployment, monitoring, governance)
- Build scalable data and ML pipelines on Azure-based platforms
- Collaborate with data scientists, analysts, and stakeholders to deliver end-to-end AI solutions
- Contribute to data architecture, standards, and best practice across the organisation
- Provide technical leadership, mentoring, and guidance to engineers and wider teams
What they’re looking for
- Strong experience in ML engineering, MLOps, and data/AI architecture
- Proven track record delivering end-to-end ML solutions in cloud environments (Azure preferred)
- Expertise in Python, Spark/PySpark, and modern data platforms (e.g. Databricks)
- Hands-on experience with NLP and LLMs, including deployment and optimisation
- Experience building scalable pipelines, model governance processes, and production systems
- Ability to translate business requirements into robust technical solutions
- Strong stakeholder management and leadership experience
Why apply
- Opportunity to build and shape ML engineering within a growing data function
- High-impact role with ownership of architecture, tooling, and best practice
- Exposure to modern AI and LLM use cases
- Clear pathway to a permanent role
Please note: sponsorship is not available for this role.
Lead Machine Learning Engineer 12m FTC in Liverpool employer: LinkedIn
Join a forward-thinking professional services firm that values innovation and collaboration, offering a dynamic work culture where your expertise in machine learning can truly shine. With a strong focus on employee growth, you will have the opportunity to lead impactful projects, shape the data and AI strategy, and enjoy a flexible remote working environment. This role not only provides competitive compensation but also a clear pathway to permanent employment, making it an excellent choice for those seeking meaningful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer 12m FTC in Liverpool
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Lead Machine Learning Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Azure and MLOps. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, Spark, and building scalable pipelines. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Lead Machine Learning Engineer 12m FTC in Liverpool
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Machine Learning Engineer role. Highlight your expertise in ML engineering, MLOps, and any relevant projects you've worked on, especially those involving Azure.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led ML projects or collaborated with teams to deliver AI solutions, and don’t forget to mention your passion for data and AI!
Showcase Your Technical Skills:In your application, be sure to emphasise your technical skills, particularly in Python, Spark/PySpark, and any experience with NLP and LLMs. We want to see how you can contribute to building scalable data pipelines and production systems.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape ML engineering within our team!
How to prepare for a job interview at LinkedIn
✨Know Your ML Stuff
Make sure you brush up on your machine learning engineering knowledge. Be ready to discuss your experience with MLOps, Python, and Azure-based platforms. Prepare examples of end-to-end ML solutions you've delivered, especially if they involve NLP or LLMs.
✨Showcase Your Leadership Skills
Since this role involves mentoring and guiding engineers, be prepared to share your leadership experiences. Think of specific instances where you've led a team or influenced stakeholders, and how you can bring that expertise to the new role.
✨Understand Their Business Needs
Research the company and its data and AI strategy. Be ready to discuss how you can translate their business requirements into technical solutions. This shows that you're not just technically savvy but also understand the bigger picture.
✨Prepare for Technical Questions
Expect some hands-on technical questions or even a coding challenge. Practice common ML engineering problems and be ready to explain your thought process. This will demonstrate your problem-solving skills and technical prowess.
