Machine Learning Engineer

JR United Kingdom; Exeter; On-site; GBP 40,000 - 70,000; Full time

Job summary

An established industry player is seeking a Machine Learning Engineer to spearhead AI and ML initiatives within their manufacturing operations. This role offers a unique opportunity to harness predictive analytics and statistical modeling to drive efficiency and innovation. As part of a dynamic team, you will work closely with IT and engineering departments to implement cutting-edge solutions that enhance decision-making and operational performance. If you are passionate about leveraging AI to transform business processes and thrive in a collaborative environment, this position is perfect for you.

Benefits

Career Development Opportunities

Collaborative Work Environment

Innovative Projects

Impactful Work

Qualifications

• 1-3 years experience in Machine Learning or Data Science.
• Strong knowledge of Python, SQL, and AI frameworks.

Responsibilities

• Develop and deploy machine learning models for operational efficiency.
• Collaborate with stakeholders to translate business challenges into AI solutions.

Skills

Python

Machine Learning

Data Science

Predictive Analytics

Statistical Modeling

Problem-Solving

Education

Bachelor's Degree in Computer Science or Related Field

Tools

TensorFlow

Scikit-learn

SQL

Pandas

NumPy

AWS

Azure

Google Cloud

Job description

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Job Title: Machine Learning Engineer / Data Scientist

Location: Exeter

About Us

We are a leading electrical manufacturing company embarking on a digital transformation journey. As we expand our IT and data capabilities, we are looking for a Machine Learning Engineer to implement cutting-edge AI and ML solutions across our business. This is a unique opportunity to play a key role in integrating predictive analytics, statistical modeling, and automation to enhance operational efficiency, forecasting, and decision-making.

Key Responsibilities

• AI & ML Implementation – Develop and deploy machine learning models to improve operational efficiency, predictive maintenance, and demand forecasting.
• Predictive Analytics – Use statistical modeling and forecasting techniques to drive insights into production trends, supply chain optimization, and energy efficiency.
• Data-Driven Decision Making – Collaborate with senior stakeholders to translate business challenges into AI/ML-driven solutions that improve manufacturing processes and business outcomes.
• End-to-End Model Deployment – Build, train, and optimize ML models using Python, TensorFlow, Scikit-learn, and other AI frameworks, ensuring scalability and integration with existing systems.
• Cross-Functional Collaboration – Work closely with IT, engineering, and production teams to embed AI into daily operations.
• Continuous Improvement – Keep up to date with the latest AI trends and technologies, ensuring our business remains at the forefront of innovation.

What We’re Looking For

• Experience – 1-3 years in Machine Learning, Data Science, or a related field
• Technical Skills – Strong knowledge of Python, SQL, TensorFlow, Scikit-learn, Pandas, NumPy, and experience with predictive analytics, time-series forecasting, and statistical modeling.
• Business & Strategy – Ability to engage with senior stakeholders, understand business needs, and align AI strategies with company goals.
• Problem-Solving Mindset – A proactive approach to identifying and solving operational inefficiencies using AI and ML.
• Cloud & Deployment – Familiarity with AWS, Azure, or Google Cloud for ML model deployment is a plus.

Why Join Us

• Impact – Be at the forefront of digital transformation in a fast-growing manufacturing business.
• Innovation – Work with cutting-edge AI & ML to solve real-world industry challenges.
• Collaboration – Work closely with leadership and cross-functional teams, shaping the future of our AI strategy.
• Growth – A chance to develop your career in a dynamic, forward-thinking company investing in IT and AI capabilities.

If you're passionate about driving AI innovation and using machine learning to transform a business, we’d love to hear from you!