AgileGrid Solutions
Machine Learning Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About The Company
Guidant Global is a leading workforce solutions provider dedicated to delivering innovative talent management and recruitment services across various industries. With a strong commitment to excellence, diversity, and inclusion, Guidant Global partners with organizations worldwide to optimize their workforce strategies, enhance operational efficiency, and drive sustainable growth. Our company prides itself on fostering a collaborative environment where creativity, integrity, and professionalism are at the core of everything we do. We leverage cutting-edge technology and industry best practices to connect top talent with impactful opportunities, ensuring our clients and candidates alike achieve their goals and realize their full potential.
About The Role
We are seeking an experienced Machine Learning Engineer to join our dynamic team. In this role, you will be responsible for leading the end-to-end delivery of machine learning solutions that address complex business challenges. You will work closely with cross-functional teams, including data scientists, software engineers, and stakeholders, to develop, validate, and deploy models into production environments. Your expertise will be crucial in designing experiments, evaluating model performance, and ensuring the seamless integration of machine learning components into broader data platforms and operational workflows. The ideal candidate will thrive in a high-autonomy environment, demonstrating strong technical acumen, problem-solving skills, and the ability to communicate complex concepts effectively to non-technical audiences.
Qualifications
- Proven experience at a senior practitioner level as a Machine Learning Engineer, AI Engineer, or similar role.
- Strong foundational knowledge in applied mathematics, statistics, and scientific methodologies.
- Expertise in Python programming, including experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
- Demonstrated ability to evaluate models through quantitative evidence, structured experimentation, and performance metrics.
- Solid understanding of software engineering best practices, including writing readable, testable, and maintainable code.
- Experience integrating machine learning solutions into production systems and workflows.
- Comfort working within secure, regulated, or high-assurance environments, ensuring compliance with security and governance standards.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities
- Lead the full lifecycle of machine learning projects, from problem definition and data collection to experimentation, evaluation, and deployment.
- Develop, validate, and optimize machine learning models suitable for deployment in real-world environments.
- Apply statistical, mathematical, and scientific thinking to formulate hypotheses, assess uncertainty, and interpret model results.
- Design and execute experiments to evaluate model behavior, performance, and impact on end-users.
- Work with operational data, often imperfect or incomplete, to build robust and reliable models.
- Integrate machine learning components into larger software and data platforms, ensuring scalability and maintainability.
- Balance methodological rigor with pragmatic delivery, ensuring solutions are proportionate to business needs.
- Communicate complex technical concepts clearly and effectively to non-technical stakeholders, facilitating informed decision-making.
- Participate in technical reviews, design discussions, and peer challenges to uphold high standards and foster continuous improvement.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Benefits
- Joining Guidant Global offers the opportunity to work on intellectually stimulating machine learning challenges that have a tangible impact on business outcomes.
- You will operate with a high degree of autonomy, shaping innovative solutions from first principles and contributing to high-impact projects within a supportive and inclusive environment.
- Our organization values professional growth and provides access to ongoing learning opportunities, industry-leading tools, and a collaborative culture that encourages knowledge sharing.
- We promote work-life balance and offer competitive compensation packages, along with comprehensive health and wellness benefits.
- As part of our team, you will be empowered to bring your whole self to work, fostering a sense of belonging and purpose.
Equal Opportunity
Guidant Global is committed to fostering an equitable, diverse, and inclusive workplace. We believe that diverse perspectives and experiences drive innovation and excellence. We actively seek to recruit talent from all backgrounds and are dedicated to providing equal employment opportunities to all employees and applicants. Our policies ensure a respectful, supportive environment where everyone feels valued, empowered, and able to contribute fully. We are proud to promote a culture of inclusion, where differences are celebrated, and everyone has the opportunity to thrive and succeed.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location