Graduate Machine Learning Engineer, AI

About the Role

Join Zaizi to contribute to impactful public sector projects that benefit society. As a Graduate Machine Learning Engineer, you will develop your expertise by researching machine learning models and assessing their applicability within our specialised government domain. Working alongside a dedicated small team delivering AI solutions for the UK government, you'll explore all forms of AI ranging from traditional techniques to advanced generative and adversarial models. Leveraging your software engineering background combined with ML knowledge, you'll engage hands-on with research and experimental projects under guidance to transform cutting-edge ideas into functional solutions.

Our inclusive, friendly, and collaborative culture values positive thinkers with a passion for learning, aiming to make valuable contributions to UK safety efforts.

Key Responsibilities

• Investigate emerging machine learning algorithms and techniques to determine suitability for specialist applications.
• Translate AI research into practical proof-of-concept implementations considering generative and adversarial methods.
• Collaborate closely to understand client challenges and develop ML-driven solutions tailored to their unique domains.
• Continuously expand knowledge in the fast-evolving AI landscape and share insights within the team.

Qualifications and Experience

• Strong foundational knowledge of machine learning algorithms and frameworks backed by software engineering skills, typically acquired through a relevant degree or equivalent experience.
• Ability to comprehend academic ML literature and convert findings into actionable, testable concepts.
• Interest in evaluating new AI technologies and their potential impact within the UK Government environment.
• Enjoyment of prototype development and bridging theoretical research with real-world applications.
• A mindset eager for growth, learning from team members, and evolving into a trusted AI practitioner in the organisation.
• Enthusiasm for integrating data science techniques to support model investigation and refinement.
• Adaptable and quick learner who thrives in a collaborative, high-performance team setting.

Inclusion and Diversity

Zaizi encourages applications from all candidates, recognising that experience may not precisely match every criterion. We actively welcome individuals from diverse backgrounds including people of colour, LGBTQ+ community members, persons with disabilities, neurodivergent individuals, parents, carers, and those from lower socio-economic groups.

We accommodate specific needs throughout the recruitment process to support candidates requiring adjustments.

Security Clearance Requirement

Since our projects involve UK Central Government customers, successful candidates must have appropriate Security Clearance. Applicants must have UK work rights without sponsorship and have been residing in the UK continuously for the past 5+ years.

Compensation and Benefits

• Competitive salary up to 39,999 with annual reviews based on performance and market standards.
• Generous pension scheme beginning with a 5% employer contribution, increasing annually up to 8% after three years.
• Comprehensive Group Life Assurance providing financial protection and peace of mind.

Culture and Purpose

• Engage in meaningful projects that strengthen the UK's digital infrastructure security.
• Experience autonomy in decision making to rapidly prototype and iterate solutions.
• Receive 10 paid leave days annually to support Reservist Military Service.

Work-Life Balance

• 25 days of annual leave plus bank holidays, with flexible options to buy or sell additional days.
• Two paid volunteering days per year to give back to the community.

Professional Development

• Full funding for certifications such as AWS, GCP, and Agile, supported by five days of paid study leave.
• An additional 350 annual personal learning allowance to pursue interests both related and unrelated to work.
• Access to personalised coaching and team training to foster career advancement.

Health and Wellbeing

• Vitality Private Medical Insurance including wellness incentives like Apple Watch, gym discounts, and rewards.
• Flexible hybrid working with a work-from-home equipment allowance.
• Cycle to Work scheme and commitment to maintaining sustainable and healthy work practices.