AI Research Engineer / Senior AI Research Engineer
| Posting date: | 22 September 2025 |
|---|---|
| Hours: | Full time |
| Closing date: | 12 October 2025 |
| Location: | Sheffield, S10 2TN |
| Company: | University of Sheffield |
| Job type: | Temporary |
| Job reference: | 1615-43667493 |
Summary
University of Sheffield
You will join the AI Research Engineering team within the University of Sheffield’s Centre for Machine Intelligence, supporting the UKRI-EPSRC funded UK Open Multimodal AI Network’s flagship Open Multimodal AI Benchmark (OMAIB) initiative. OMAIB develops open, community-driven datasets, evaluation protocols, baseline models, and deployment-centric tasks to accelerate multimodal AI solutions for Tomorrow’s Engineering Research Challenges.
As an AI Research Engineer, you will work on cross-cutting technologies that support a portfolio of short, high-impact projects funded through OMAIB calls. These span domains such as healthcare, materials discovery, and transportation systems. You will collaborate with Principal Investigators, industry partners, and end-user stakeholders to provide the research and software engineering expertise needed to deliver robust, reproducible, and openly accessible outputs.
Your role will include working with other teams to implement multimodal AI solutions using best-practice software engineering and open science principles, maintaining OMAIB infrastructure such as repositories, documentation, and leaderboards on GitHub, developing models in PyTorch or related frameworks, and supporting project teams to prepare datasets, code, and evaluation protocols.
The role offers variety and opportunities to shape national-scale open research infrastructure. You will be part of a collaborative team of AI Research Engineers enabling interdisciplinary research and engaging widely with researchers, industry, and policymakers.
A CV and cover letter are required with your application. In your cover letter, please include: 1) a link to a representative piece of your writing; 2) a link to a code sample (eg GitHub or a downloadable zip), and 3) a short description of a collaboration experience.
We are committed to exploring flexible working opportunities which benefit the individual and University.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
You will join the AI Research Engineering team within the University of Sheffield’s Centre for Machine Intelligence, supporting the UKRI-EPSRC funded UK Open Multimodal AI Network’s flagship Open Multimodal AI Benchmark (OMAIB) initiative. OMAIB develops open, community-driven datasets, evaluation protocols, baseline models, and deployment-centric tasks to accelerate multimodal AI solutions for Tomorrow’s Engineering Research Challenges.
As an AI Research Engineer, you will work on cross-cutting technologies that support a portfolio of short, high-impact projects funded through OMAIB calls. These span domains such as healthcare, materials discovery, and transportation systems. You will collaborate with Principal Investigators, industry partners, and end-user stakeholders to provide the research and software engineering expertise needed to deliver robust, reproducible, and openly accessible outputs.
Your role will include working with other teams to implement multimodal AI solutions using best-practice software engineering and open science principles, maintaining OMAIB infrastructure such as repositories, documentation, and leaderboards on GitHub, developing models in PyTorch or related frameworks, and supporting project teams to prepare datasets, code, and evaluation protocols.
The role offers variety and opportunities to shape national-scale open research infrastructure. You will be part of a collaborative team of AI Research Engineers enabling interdisciplinary research and engaging widely with researchers, industry, and policymakers.
A CV and cover letter are required with your application. In your cover letter, please include: 1) a link to a representative piece of your writing; 2) a link to a code sample (eg GitHub or a downloadable zip), and 3) a short description of a collaboration experience.
We are committed to exploring flexible working opportunities which benefit the individual and University.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
You will join the AI Research Engineering team within the University of Sheffield’s Centre for Machine Intelligence, supporting the UKRI-EPSRC funded UK Open Multimodal AI Network’s flagship Open Multimodal AI Benchmark (OMAIB) initiative. OMAIB develops open, community-driven datasets, evaluation protocols, baseline models, and deployment-centric tasks to accelerate multimodal AI solutions for Tomorrow’s Engineering Research Challenges.
As an AI Research Engineer, you will work on cross-cutting technologies that support a portfolio of short, high-impact projects funded through OMAIB calls. These span domains such as healthcare, materials discovery, and transportation systems. You will collaborate with Principal Investigators, industry partners, and end-user stakeholders to provide the research and software engineering expertise needed to deliver robust, reproducible, and openly accessible outputs.
Your role will include working with other teams to implement multimodal AI solutions using best-practice software engineering and open science principles, maintaining OMAIB infrastructure such as repositories, documentation, and leaderboards on GitHub, developing models in PyTorch or related frameworks, and supporting project teams to prepare datasets, code, and evaluation protocols.
The role offers variety and opportunities to shape national-scale open research infrastructure. You will be part of a collaborative team of AI Research Engineers enabling interdisciplinary research and engaging widely with researchers, industry, and policymakers.
A CV and cover letter are required with your application. In your cover letter, please include: 1) a link to a representative piece of your writing; 2) a link to a code sample (eg GitHub or a downloadable zip), and 3) a short description of a collaboration experience.
We are committed to exploring flexible working opportunities which benefit the individual and University.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
You will join the AI Research Engineering team within the University of Sheffield’s Centre for Machine Intelligence, supporting the UKRI-EPSRC funded UK Open Multimodal AI Network’s flagship Open Multimodal AI Benchmark (OMAIB) initiative. OMAIB develops open, community-driven datasets, evaluation protocols, baseline models, and deployment-centric tasks to accelerate multimodal AI solutions for Tomorrow’s Engineering Research Challenges.
As an AI Research Engineer, you will work on cross-cutting technologies that support a portfolio of short, high-impact projects funded through OMAIB calls. These span domains such as healthcare, materials discovery, and transportation systems. You will collaborate with Principal Investigators, industry partners, and end-user stakeholders to provide the research and software engineering expertise needed to deliver robust, reproducible, and openly accessible outputs.
Your role will include working with other teams to implement multimodal AI solutions using best-practice software engineering and open science principles, maintaining OMAIB infrastructure such as repositories, documentation, and leaderboards on GitHub, developing models in PyTorch or related frameworks, and supporting project teams to prepare datasets, code, and evaluation protocols.
The role offers variety and opportunities to shape national-scale open research infrastructure. You will be part of a collaborative team of AI Research Engineers enabling interdisciplinary research and engaging widely with researchers, industry, and policymakers.
A CV and cover letter are required with your application. In your cover letter, please include: 1) a link to a representative piece of your writing; 2) a link to a code sample (eg GitHub or a downloadable zip), and 3) a short description of a collaboration experience.
We are committed to exploring flexible working opportunities which benefit the individual and University.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.