La Fosse

Senior Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer on a 3-month contract, paying £600-700/day, fully remote in the UK. Requires strong experience in production systems, financial modelling, Python, AWS, and system design.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
700
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🗓️ - Date
June 18, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Remote
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Cloud #Data Science #Python #ML (Machine Learning) #Scala #Microservices #AWS (Amazon Web Services)
Role description
Senior Machine Learning Engineer | Contract Role Outside IR35 | £600-700/day | Remote in the UK | Initial 3 Months We’ve partnered with a fast-growing tech business undergoing a major rebuild of one of their core platform capabilities. They’re looking for a Senior Machine Learning Engineer to help design and develop the modelling logic that underpins a critical decision-making system. This role sits at the intersection of machine learning, applied modelling, and software engineering - focused on solving complex, real-world problems rather than building standard predictive models. This is a hands-on role working within a small, high-impact team on a greenfield build, with direct input into how the system evolves over time. This is outside IR35, fully remote, with an initial 3-month contract and strong potential for extension. Key Responsibilities • Design and build modelling logic that represents real-world rules, constraints, and pricing/cost structures within a production system • Develop and optimise cost, scoring, or evaluation functions that directly influence real-time decisions • Translate complex, often ambiguous business requirements into clear, robust, and testable implementations • Build efficient solutions for handling computationally complex problems in live environments • Collaborate closely with engineers and stakeholders to ensure accuracy, performance, and scalability Ideal Candidate • Strong experience as a Machine Learning Engineer or applied Data Scientist working on production systems • Background in pricing, financial modelling, billing, or other rule-heavy environments • Experience building systems where model outputs directly drive pricing, cost, or decision logic • Comfortable working across both modelling and software engineering challenges • Strong problem-solving ability with experience tackling complex, ambiguous problems Tech Stack Required: • Python • Cloud (AWS or similar) • APIs / Microservices • Strong fundamentals in system design Bonus: • Experience working on optimisation, simulation, or decisioning systems • Background in fintech, pricing engines, or regulated environments • Exposure to real-time or high-performance systems If you are interested please apply below!