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: Opportunity for hands-on leadership in a dynamic, supportive environment.
- 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 - 98000 £ per year.
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 Midlothian 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 focus on employee growth and development, you'll have access to significant resources to shape cutting-edge machine learning solutions while enjoying the flexibility of remote work within the UK. This role not only allows you to make a meaningful impact but also fosters a collaborative culture where your expertise is valued and recognised.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
