Machine Learning Engineer

Role: ML Engineer

Location: Remote with adhoc travel to Leeds

Contract: Competitive daily rate, Outside IR35

Duration: 10 weeks with strong chance of extension

Who are we?

Enablis is a technology delivery consultancy who partner with clients to accelerate digital roadmaps. By combining our deep knowledge and best practice experience with the client’s domain expertise, we are able to deliver technology solutions quickly, efficiently and as stress free as possible.

We keep things simple and have a ruthless, uncomplicated focus on how our customers can use technology to add value to their business. That’s why we avoid tricky or ambiguous jargon in our service offerings: as far we we’re concerned, we’re always there to collaborate with clients and use our experiences to shape and affect the delivery of their technology roadmaps as positively as possible. It’s as simple as that.

We’re looking for passionate, talented tech experts who want to work on projects that matter. At Enablis, you’ll have the chance to collaborate with some of the most talented minds in the industry and create real impact. If you have the skills and ambition, we’ll open the door to incredible opportunities and introduce you to a network of equally driven, like-minded professionals.

Role Brief

We are looking for a skilled ML Engineer with a strong grasp of AI and machine learning, ready to make an impact in a greenfield build of a new platform. This is a unique opportunity to contribute to a cutting-edge build of a platform to use historic data to predict future pricing using advanced AI tooling. Your work will directly influence leadership decisions in this innovative initiative.

Responsibilities

AI Pricing Development: Using historic data to enable predictive pricing.

Independent Execution: Take ownership of the end-to-end development of the platform.

Collaboration: Partner with a Business Analyst/Delivery Manager to shape requirements and engage with stakeholders.

Essential Requirements:

Strong experience in data engineering and working with AI/ML technologies. Ideally Python / Node.js.

Knowledge of ML algorithms: XGBoost, Random Forest etc.

Solid understanding of data extraction, preparation, and processing for predictive modeling.

Excellent communication skills for both technical and non-technical audiences.

Desirable Requirements:

Experience with pricing models or similar predictive AI use cases.

Familiarity with tools and frameworks commonly used for AI/ML development (e.g., TensorFlow, PyTorch).

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.