Graduate AI Specialist

Sylatech; United Kingdom; Remote; GBP 28,000 - 36,000; Full time

Benefits offered by this job

Company pension

Enhanced holiday entitlement

Sickness benefits

Death in service

Employee referral bonus

Free onsite parking

Cycle to Work scheme

Relocation or travel support

Job summary

Sylatech, a UK design and manufacturing business with 62 years of precision engineering heritage, invites a curious graduate to join its AI-focused team. You will identify, test and implement AI-enabled solutions that improve information flow, decision-making and customer service across engineering, manufacturing and quality functions.

You will map processes, prototype tools and work with partners to deliver practical improvements, with a strong emphasis on governance, data handling and

Qualifications

• Degree in engineering, computer science, data science, mathematics, business technology or related subject (recent).
• Strong practical fluency with modern AI tools and the ability to select the right tool for the task.
• Analytical skills with data sets, spreadsheets and structured information.
• Interest in manufacturing and how technology improves operations.
• Ability to turn ambiguous problems into testable proposals or prototypes.
• Good communication and teamwork across business levels.
• Responsible approach to data, confidentiality and quality.

Responsibilities

• Identify high-value AI opportunities across engineering, manufacturing, quality, sales and support.
• Map processes, understand data, and propose practical improvements.
• Research, prototype, and evaluate AI tools and data-driven workflows.
• Build and implement approved AI solutions with internal and external partners.
• Ensure responsible AI use with documentation, testing and data-handling practices.
• Train colleagues to adopt new tools and measure benefits.
• Track outcomes and communicate lessons and next steps to managers.

Skills

AI tools

Data analysis

Problem solving

Communication

Project development

Decision making

Data handling

Adaptability

Education

Engineering / Computer Science / Data Science / Mathematics / Business Technology (recent degree)

Job description

• Hours: 37.5 hours per week — Monday to Friday

About us

Sylatech is a forward-thinking UK design and manufacturing business with 62 years of precision engineering heritage. We support a global customer base across sectors including Aerospace, Space, Medical, Automotive and Construction, delivering high-quality custom engineering solutions where precision, reliability and innovation matter. Our business is on a significant growth trajectory, backed by a strong order book and continued investment in our people, equipment and capabilities.

We see exciting opportunities to use AI to improve the way our people work and the service we deliver, and this creates real opportunities for skilled individuals who want to build a long-term career in an advanced manufacturing business. At Sylatech, you will join a committed, supportive team with a shared sense of purpose. Teamwork, quality and involvement are central to how we work, and we encourage everyone to contribute ideas, make a difference and share in our success.

Purpose of the role

Identify, test and implement practical AI-enabled solutions across an advanced engineering manufacturing business. The role will work with teams throughout the company to improve information flow, decision-making, process efficiency and customer service, while ensuring solutions are useful, secure and adopted in day-to-day work.

Key Responsibilities

• Work with teams across engineering, manufacturing, quality, sales, procurement and support functions to identify high-value AI opportunities.
• Map current processes, understand the underlying data and develop clear proposals for practical improvement.
• Research, prototype and evaluate AI tools, automations and data-driven workflows against defined business needs.
• Build and implement approved solutions, working with internal colleagues and external technology partners where required.
• Support responsible AI use through clear documentation, testing, user guidance and appropriate data-handling practices.
• Train and support colleagues so that new tools are adopted confidently and deliver measurable benefits.
• Track outcomes, gather feedback and communicate lessons and next-step recommendations to managers.

What we are looking for

You will be a curious, practical graduate who is adaptable and confident using AI tools and enjoys turning ideas into safe, useful improvements for people and processes.

Required abilities

• Ideally a recent degree in engineering, computer science, data science, mathematics, business technology or a related subject.
• Strong practical fluency with modern AI tools and a thoughtful approach to selecting the right tool for the task. An ability to learn on the job and keep up with the latest developments in AI.
• Analytical ability, including confidence working with spreadsheets, data sets and structured information.
• A genuine interest in manufacturing, engineering and how technology can improve real-world operations.
• Ability to turn an ambiguous business problem into a clear, testable proposal or prototype.
• Strong communication skills and the confidence to work with people at all levels of the business.
• A careful, responsible approach to data, confidentiality, accuracy and quality assurance.
• Curiosity, initiative and resilience when learning unfamiliar systems or solving practical problems.
• A project, dissertation, placement or portfolio demonstrating applied AI, data or automation work.
• Awareness of AI governance, cybersecurity, data protection or model-evaluation principles.
• Experience presenting technical work clearly to non-technical audiences.

Working Hours

Monday to Friday 37.5 hours

What do we offer

• Competitive graduate salary aligned with skills, capability and contribution.
• Permanent employment with a growing advanced manufacturing business.
• Company pension, enhanced holiday entitlement, sickness benefits, and death in service.
• Employee referral bonus, free onsite parking, Cycle to Work scheme and possible relocation or travel support.

The closing date for applications to this role is: 30/11/2026

Equal opportunities statement

We are an equal opportunities employer and welcome applications from all suitably qualified candidates. We are committed to creating an inclusive working environment where everyone is treated with fairness and respect.