At a Glance
- Tasks: Lead ML Engineering projects and shape machine learning delivery across a large organisation.
- Company: Established professional services firm prioritising data and AI innovation.
- Benefits: Competitive salary of £80,000 - £90,000 and remote work options.
- Other info: Join a dynamic team with opportunities for growth and development.
- Why this job: Make a real impact in ML engineering and drive innovative solutions.
- Qualifications: Experience in ML solutions, strong Python and SQL skills required.
The predicted salary is between 80000 - 90000 £ per year.
Interested in learning more about this job? Scroll down and find out what skills, experience and educational qualifications are needed.
This is a rare opportunity to step into a senior, hands-on ML Engineering role where you will shape how machine learning is delivered, scaled, and embedded across a large, complex organisation.
THE COMPANY
They are a large, well-established professional services organisation with a strong reputation for quality, trust, and long-term client relationships. Data and AI are a strategic priority, with significant internal backing to move from successful proof of concepts to robust, production-grade platforms.
THE ROLE
As a Lead ML Engineer, you will take ownership of ML Engineering delivery end-to-end, helping define best practice while remaining highly hands-on. Specifically, you can expect to be involved in the following:
- Leading the ML Engineering capability and contributing to the wider data and AI strategy.
- Designing, building, and productionising ML pipelines aligned to business goals.
- Delivering NLP and LLM-driven solutions, including fine-tuning and deployment.
- Implementing strong MLOps practices across model training, deployment, and monitoring.
- Working closely with Data Scientists to support, maintain, and improve models in production.
- Building APIs and data products that enable ML solutions to be consumed across the business.
SKILLS AND EXPERIENCE
The successful Lead ML Engineer will have the following skills and experience:
- Commercial experience delivering ML solutions end-to-end.
- Strong Python and SQL skills, with experience building data and ML pipelines.
- Hands-on experience with Databricks and Azure.
- Practical experience with NLP and LLMs, including fine-tuning and applied use cases.
- Solid understanding of MLOps, CI/CD for ML, and production model monitoring.
- Experience with stakeholders and translating business problems into technical solutions.
- Experience building or integrating APIs, such as with FastAPI, is beneficial.
BENEFITS
The successful Lead ML Engineer will receive the following benefits:
- Salary between £80,000 - £90,000 - depending on experience.
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
Lead ML Engineer - 12 Month FTC in Sheffield employer: Harnham - Data & Analytics Recruitment
Join a large, well-established professional services organisation that prioritises data and AI, offering you the chance to lead ML Engineering initiatives in a supportive and innovative environment. With a strong emphasis on employee growth, you will have access to significant internal resources to develop robust ML solutions while enjoying a flexible remote working arrangement. This role not only allows you to shape the future of machine learning within the company but also fosters a culture of collaboration and trust, making it an excellent place for meaningful and rewarding employment.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Engineer - 12 Month FTC in Sheffield
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 ML projects, especially those involving NLP and LLMs. 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 problem-solving skills. Be ready to discuss your experience with MLOps and how you've tackled real-world challenges in ML engineering.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead ML Engineer - 12 Month FTC in Sheffield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead ML Engineer role. Highlight your experience with ML solutions, Python, SQL, and any relevant projects that showcase your skills in NLP and MLOps. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about ML engineering and how your background aligns with our needs. Be sure to mention specific experiences that demonstrate your hands-on approach and leadership capabilities.
Showcase Your Projects:If you've worked on any interesting ML projects, don’t hold back! Include links or descriptions of your work, especially if they involve building pipelines or deploying models. This gives us a glimpse into your practical skills and creativity.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around NLP and LLMs. Be ready to discuss your hands-on experience with building and deploying ML pipelines, as well as any specific projects you've worked on that align with the role.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain how you've used these languages to build data pipelines or ML solutions in your previous roles.
✨Understand MLOps Inside Out
Since MLOps is a key part of this role, make sure you can talk about your experience with CI/CD for ML and model monitoring. Bring examples of how you've implemented strong MLOps practices in past projects to show you can hit the ground running.
✨Communicate with Confidence
You'll need to translate complex technical concepts into business solutions, so practice explaining your work to non-technical stakeholders. This will help demonstrate your ability to bridge the gap between tech and business, which is crucial for this position.
