Machine Learning Engineer

Job Description – Machine Learning Engineer

Location: Remote (with occasional travel to London)

Contract Duration: 3 months (likely to extend)

Start Date: Mid-April – End of April (target start date: 28th April)

Budget: Up to £650 per day

About the Role:

We are seeking an experienced Machine Learning Engineer to join a Data & AI Partner on a contract basis. This is a greenfield project focused on process automation — using data to drive decisions, reduce complexity, and improve the performance of manual-heavy tasks. This is an exciting opportunity to work on high-impact business problems and apply cutting-edge machine learning and data analysis techniques.

Key Responsibilities:

• Develop and deploy ML models to solve complex business problems.
• Conduct data analysis and statistical modelling using Python.
• Extract, transform, and model data from various sources using Python.
• Work with stakeholders to gather requirements and translate them into technical solutions.
• Collaborate with senior business leaders and technical teams to implement solutions.
• Manage end-to-end ML model lifecycle — from development to production.
• Identify opportunities to improve process automation and performance using data-driven insights.

Minimum Requirements:

• Proficient in Python for data analysis, modelling, and automation.
• Experience working with cloud platforms such as Databricks.
• Strong analytical and problem-solving skills.
• Experience building and deploying ML models into production.
• Excellent communication skills — ability to work with senior stakeholders and present complex data insights clearly.
• Business acumen — ability to link technical solutions to business outcomes.
• Interest in AI and a passion for applying AI/ML to real-world problems.
• MSc in Data Science, Statistics, Mathematics, or a related field.
• Experience working with BI tools like Looker or Power BI.
• Business analysis experience.
• Familiarity with Python frameworks like Streamlit or Gradio.
• Background in consulting or professional services (e.g., Deloitte, Accenture).

Ideal Candidate Profile:

• Experience working in a fast-paced, agile environment.
• Self-starter — able to take initiative and work independently without micromanagement.
• Adaptable and able to work across multiple clients and projects.
• Comfortable dealing with ambiguity and working towards business outcomes.
• Preferably someone with a strong technical background who has pivoted from a structured graduate program (e.g., Big 4 consultancy) to a more entrepreneurial or innovative environment.

This is a fantastic opportunity for an experienced Machine Learning Engineer to work on a greenfield project, driving automation and business efficiency through cutting-edge AI and data science solutions.

To be considered, please click apply now!