AgileGrid Solutions
Machine Learning Engineer

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About The Company
Impellam is a leading global workforce solutions provider, dedicated to connecting talented professionals with organizations that need their expertise. With a strong presence across multiple industries, Impellam offers comprehensive staffing, recruitment, and managed services tailored to meet the evolving needs of clients worldwide. The company prides itself on fostering innovation, integrity, and excellence in everything it does, ensuring that both clients and candidates receive exceptional support and value. Leveraging a vast network and deep industry insights, Impellam is committed to creating sustainable employment opportunities and driving positive economic impact through its diverse portfolio of services.
About The Role
We are seeking a highly skilled Machine Learning Engineer to join our dynamic team at Impellam. In this role, you will be at the forefront of developing innovative machine learning solutions that address complex business challenges. You will operate with a high degree of autonomy, owning projects from inception through deployment, and collaborating closely with cross-functional teams including data scientists, software engineers, and business stakeholders. Your expertise will contribute to designing, validating, and integrating machine learning models into production environments, ensuring they deliver measurable value. This position offers an excellent opportunity to work on impactful projects within a supportive and inclusive environment, where your technical judgment and problem-solving skills will be highly valued.
Qualifications
The ideal candidate will possess proven experience operating at a senior practitioner level as a Machine Learning Engineer, AI Engineer, or equivalent. A strong foundation in applied mathematics, statistics, and scientific methodology is essential. You should have excellent Python programming skills, with demonstrated experience in building, evaluating, and deploying machine learning models. Experience in evaluating models through quantitative evidence and structured experimentation is crucial. Additionally, you should have a solid understanding of software engineering best practices, producing readable, testable, and maintainable code. Experience integrating machine learning solutions into production systems and workflows is highly desirable. Candidates comfortable working in secure, regulated, or high-assurance environments will thrive in this role.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Responsibilities
- Lead end-to-end delivery of machine learning solutions, from problem definition through experimentation, evaluation, and iteration.
- Develop, validate, and deploy machine learning models into production environments, ensuring scalability and robustness.
- Apply statistical, mathematical, and scientific thinking to formulate hypotheses and assess uncertainty.
- Design and execute experiments to evaluate model behavior, performance, and user impact.
- Work with real, imperfect data drawn from operational systems and workflows, managing data quality and consistency.
- Integrate machine learning components into broader software and data platforms, ensuring seamless operation.
- Balance rigor with pragmatism to deliver proportionate and effective solutions that meet business needs.
- Communicate complex technical concepts clearly to non-technical stakeholders, facilitating informed decision-making.
- Engage in technical reviews, design discussions, and provide constructive peer challenge to maintain high standards.


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Benefits
Joining Impellam offers the chance to work on challenging and impactful machine learning problems within a supportive and inclusive environment. You will have the opportunity to operate with autonomy, shaping innovative solutions from first principles and contributing to high-impact outcomes. The organization values professional growth, offering continuous learning opportunities and exposure to cutting-edge technologies. Employees benefit from a collaborative culture that encourages knowledge sharing and innovation. Additionally, Impellam provides competitive compensation packages, comprehensive health benefits, flexible working arrangements, and opportunities for career progression. The company is committed to fostering a healthy work-life balance and supporting employee well-being, ensuring a positive and engaging workplace experience.
Equal Opportunity
Impellam is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and contractors. We believe that a diverse workforce fosters innovation, drives better decision-making, and reflects the communities we serve. We actively seek to recruit talent from all backgrounds, ensuring that everyone has equal access to opportunities and is treated with respect and fairness. Our commitment to inclusivity extends to all aspects of employment, including hiring, development, and advancement, creating a workplace where everyone feels valued, empowered, and able to bring their whole selves to work.
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