Foundation Model Engineer
Salary context for this role
JobGrid.eu combines visible employer pay, official public benchmarks, and current JobGrid listings for Data Science & ML.
Similar listings
GBP 75,000 - 135,000 / yearBased on 13 current public JobGrid listings with comparable role and location signals.
- Source
- JobGrid.eu public listings
- Geography
- Country-level
- Match quality
- High confidence comparable role
- Data period
- Current active listings
- Sample size
- 13
- Latest listing
- May 5, 2026
- Checked by JobGrid
- May 13, 2026
JobGrid listing details
JobGrid.eu keeps the employer description in its original language and adds clear listing facts, freshness, and source context so candidates can evaluate the role before applying.
- Key details
- 1 location, IT, Data Science & ML, Hybrid, Senior, Full time
- Current openings
- 3 active jobs
- Original language
- English
- Source and freshness
- Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 13, 2026.
- Apply path
- JobGrid.eu sends candidates to the original application page and adds non-personal referral parameters.
CommonAI CIC is a non-profit membership organisation, founded on a belief in collaborative engineering for the safe and responsible development of foundational AI technologies. A place where AI startups, enterprises large and small, public sector bodies and academia can share resources and knowledge, to codevelop and grow businesses, fast.
We are led by experienced founders, investors and engineers who believe that collaborative engineering drives faster AI innovation and are backed by a mix of UK Government and private funding in order to design, build and deploy innovative AI systems.
The Opportunity
We’re seeking a highly skilled foundation model engineer who has experience of building, training, evaluating, and deploying LLMs or multimodal models end-to-end.
We are currently building an AI lab with multiple GPU clusters for testing new hardware and software technologies to accelerate machine learning and inference. This exciting role will primarily focus on model development, data pipelines and system performance. You’ll work across the full AI lifecycle, from experimentation to scalable deployment, with a strong emphasis on technical depth and rigour.
What You’ll Do
- Design and implement end-to-end LLM training pipelines
- Source and, where appropriate, preprocess datasets for training and evaluation
- Fine-tune and optimise open weight models (LLMs, vision, or traditional ML)
- Build evaluation frameworks and define performance metrics
- Develop and maintain data pipelines and training workflows
- Analyse training pipelines and optimise them for latency, cost, and scalability
- Implement monitoring, logging, and feedback loops for continuous improvement
- Experiment with modern AI tooling and services to investigate how they can be leveraged