Computershare Logo

Computershare

Graduate AI Engineer

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Bristol, England
Entry level
Hybrid
Bristol, England
Entry level
Supports AI Hub initiatives by building and testing AI-powered tools, automations, prototypes, reusable platforms, and cloud-based capabilities. The role involves evaluating emerging AI technologies, contributing to engineering standards and best practices, and collaborating with architecture, product, data, and engineering teams. It is a 12-month graduate opportunity focused on hands-on learning in AI, software engineering, automation, and technology delivery.
The summary above was generated by AI

Location: Bristol

In this position, you’ll be based in the Bristol office for a minimum of three days a week, with the flexibility to work from home for some of your working week. Find out more about our flexible work culture at computershare.com/flex.  
We give you a world of potential 
 
Computershare has an exciting opportunity for several Graduate AI Engineer’s to join our team in Bristol on a 12-month fixed term contract.

Working within our Technology team, you'll join our brand-new AI Hub, a growing team focused on delivering innovative technology solutions and exploring how emerging technologies can create value across our business.

Working closely with programme leaders, senior stakeholders and technical colleagues, you'll contribute to impactful initiatives, gain broad exposure across the organization and play a key role in the evolution of our technology landscape.
 
A role you will love
As a Graduate AI Engineer, you'll contribute to a range of AI Hub initiatives that are helping transform how Computershare operates, delivers technology and creates value. Working alongside experienced engineers, architects, data specialists and AI practitioners, you'll play a role in developing AI-powered tools, automation capabilities, prototypes and reusable platforms that support teams across the business.

This is an excellent opportunity to build hands-on experience in software engineering, generative AI, automation and cloud technologies, while working on real business challenges. You'll be supported by experienced colleagues and have the opportunity to learn modern engineering practices, develop your technical skills and thinking that will help drive the next phase of innovation across the organization.

Key responsibilities

  • Support the delivery of AI Hub initiatives across a variety of business and technology domains. 

  • Build, test and enhance AI-powered tools, automations and reusable engineering capabilities. 

  • Contribute to the development of standards, patterns, controls and best practices that support AI-enabled software delivery. 

  • Assist in the creation of prototypes, proofs of concept and solutions that address real business challenges.

  • Track and evaluate emerging AI technologies, introducing and implementing capabilities within the AI Hub where they offer clear business value.

  • Help develop platforms, services and tooling that enable our teams across Computershare.

  • Collaborate with engineering, architecture, product and data teams to design, build and deliver innovative solutions. 

  • Develop your technical and professional skills through hands-on delivery, mentoring and participation in AI Hub learning programmes.

 

What will you bring to the role?

 

As one of our Graduate AI Engineers, you'll bring a curious and creative mindset that wants to solve problems with a strong interest in technology, supported by knowledge gained through your studies, placements, internships or relevant work experience.

We're looking for someone who is eager to learn, willing to embrace new technologies and motivated to develop their skills in a rapidly evolving field. You'll enjoy solving problems, exploring new ideas and working collaboratively with others to deliver practical solutions. Strong communication skills are really important, as you'll work closely with colleagues across technology and business teams.

Other key skills and experience

  • A degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related technical discipline. Equivalent practical experience will also be considered.
  • Foundational software engineering or programming skills, such as Java, .NET, SQL or similar technologies.
  • A genuine interest in AI, automation, software engineering and emerging technologies.
  • Awareness of Agile delivery methodologies, DevOps practices or cloud-based technologies.
  • Strong analytical and problem-solving skills, with the ability to approach challenges logically and creatively.
  • The ability to work effectively within a collaborative team environment. 
  • A proactive approach to learning, with a willingness to continuously develop new skills and knowledge.

If you're excited by the opportunity to work with AI, contribute to technology transformation and help shape innovative solutions that create real business value, we'd love to hear from you.

Rewards designed for you 

Flexible work to help you find the best balance between work and lifestyle 

Health and wellbeing rewards that can be tailored to support you and your family 

Invest in our business by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well.  

Extra rewards ranging from recognition awards and team get togethers to helping you invest in your future 

And more. Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our careers hub will help you find out more about our rewards and life at Computershare, visit computershare.com/careershub 

 

#LI-Hybrid 

About Us
A company to be proud of
We're a global leader in financial administration with over 11,000 employees across more than 22 different countries. At Computershare, it’s more than just a job, our open and inclusive culture means that we will help you to grow, to move forward and make the most of our world of opportunities.
Fairness and culture
We want to provide you with the opportunity to succeed on your own merits, starting from the application process and continuing throughout your career with us. Our goal is to create an environment where everyone feels valued, to remove barriers and obstacles and ensure equal opportunities for all. For support with accommodations or adjustments during our recruitment process please visit computershare.com/access for further information.
About the TeamOur Technology Services team is a place where new ideas and approaches are welcomed, and every individual is equipped and empowered to create change. We're a rapidly evolving and diverse global business and there is always something to learn, opportunities to explore and a broad range of career paths to progress along.

Computershare London, England Office

Moor House, 120 London Wall, London, United Kingdom, EC2Y 5ET

Similar Jobs

4 Days Ago
Hybrid
Entry level
Entry level
Artificial Intelligence • Semiconductor
Develops software tests for machine learning workloads on Graphcore accelerator hardware. Responsibilities include creating representative workloads, analyzing numerical accuracy and performance, designing tests, improving test infrastructure, building CI/CD pipelines, debugging issues, and collaborating with development teams to improve software quality. The two-year graduate program provides practical experience across machine learning, automation, performance analysis, and simulated and physical hardware platforms.
Top Skills: C++Ci/CdJaxLinuxMlopsPythonPyTorchTensorFlowTriton
4 Days Ago
Hybrid
Entry level
Entry level
Artificial Intelligence • Semiconductor
Develop C++ compute libraries and kernels for machine learning workloads on Graphcore hardware. Optimize matrix operations, convolutions, reductions, and fused kernels using profiling and microbenchmarks. Build regression tests and numerical checks to ensure correctness and reliability. The two-year graduate programme provides hands-on experience in performance engineering, numerical computing, parallel execution, and low-level software development with guidance from experienced engineers.
Top Skills: C++11Graphcore Ai HardwareMachine Learning FrameworksMicrobenchmarkingNumerical ComputingParallel ProgrammingProfiling ToolsPythonRegression TestingScripting Tools
2 Days Ago
In-Office
Staines, Surrey, England, GBR
Entry level
Entry level
Artificial Intelligence • Information Technology • Software • Consulting
Entry-level AI engineering role providing hands-on experience with data preprocessing, exploratory analysis, machine learning model development, testing, optimization, and deployment. The role includes collaboration with AI researchers and engineers, documentation, and exposure to neural networks, natural language processing, and computer vision. Mentorship and flexible scheduling support candidates beginning careers in artificial intelligence.
Top Skills: AWSAzureComputer VisionGCPKerasNatural Language ProcessingNeural NetworksPythonPyTorchScikit-LearnTensorFlow

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account