Foundation model engineer Work, Jobs (with Salaries)

Foundation Model Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Maths
- Machine learning
Quick apply
Research Engineer Intern (Multimodal LLM)
Tether Operations Limited —Edinburgh
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Research Engineer - Video Foundation Models (Pre - Training)
Synthesia —London
- Full-time
- Remote
- AWS
- Communication skills
- Python
- Annual leave
Model Design Engineer
Cadillac Formula 1® Team —Silverstone
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Annual leave
Quick apply
Staff Applied ML Engineer - Financial Crime
Wise Australia Investments —London
- £145,000 - £182,000 a year
- Financial services
- Python
9d
DevOps Engineer
Teza Technologies —London
- Full-time
- Hybrid work
- Azure
- AWS
- Scripting
AI / ML Engineer
BPM LLP —Remote
- £150,000 - £180,000 a year
- Full-time
- Remote
- Azure
- SQL
- Analysis skills
Quick apply
AI Research Engineer, Model Optimization and Inference
Iconic Interactive —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
Quick apply
Machine Learning Platform Engineer
Monzo —London
- £85,000 - £110,000 a year
- Part-time
- Remote
- DevOps
- AWS
- Machine learning
- Flexible schedule
Infrastructure/SRE Engineer - Qualcomm - Remote, UK
Qualcomm —London
- Remote
- Doctoral degree
- Computer Science
- DevOps
GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
9d
Applied AI Security Architect
Anthropic —London
- £190,000 - £230,000 a year
- Hybrid work
- Azure
- English
- AWS
- Flexible schedule
Software Engineer, Codex Enterprise
OpenAI —London
- £255,000 - £385,000 a year
- Full-time
- APIs
- Python
Senior Platform Engineer, Dashboard Platform
Algolia —London
- £82,500 - £114,800 a year
- Remote
- English
- AWS
- JavaScript
- Work from home
Machine Learning Engineer Intern (100% Remote)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Advanced Research Engineer
The Manufacturing Technology Centre —Coventry
- £42,000 - £48,000 a year
- Full-time
- Azure
- AWS
- Analysis skills
Quick apply
Engineering Director, EU
Monzo —London
- £170,000 - £225,000 a year
- Leadership
- Flexible schedule
Machine Learning Engineer Intern (100% Remote Worldwide)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Staff Machine Learning Infrastructure Engineer, Simulation
Waymo —London
- £155,000 - £163,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
Senior Infrastructure Engineer, Dashboard Platform
Algolia —London
- £82,500 - £114,800 a year
- Remote
- English
- AWS
- JavaScript
- Work from home

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Foundation Model Engineer

CommonAI C.I.C.
Cambridge

Quick apply

Job details

Full-time

Benefits

Company pension

Qualifications

TensorFlow
Law
PyTorch
Master's degree
Maths
Machine learning
APIs
Python
Debugging

Full job description

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

Requirements

Proven experience training and fine-tuning LLMs or multimodal models (not just using APIs)
Solid understanding of:

Model evaluation and validation
Overfitting, bias/variance tradeoffs
Data quality and feature engineering

Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow)
Experience building and maintaining ML pipelines in production
Familiarity with GPU usage and optimisation
Ability to debug and improve model performance systematically

We also value:

Knowledge of distributed training or large-scale data processing
Experience with MLOps tools (CI/CD for ML, experiment tracking, model versioning)
Background in applied research or publishing
Familiarity with retrieval systems, embeddings, or ranking models

Ideally you will have a maths or computer science research background with a focus on developing new algorithms or techniques for training and deploying AI models.

You may also have been working in industry in a large organisation or start-up with an emphasis on developing and deploying cutting edge machine learning.

When applying, please include:

Links to relevant projects, papers, or GitHub repositories
A brief description of a model/system you trained and deployed end-to-end

Benefits

A collaborative and supportive work environment
The opportunity to have a high impact in a growing organisation
Competitive salary package and pension
Professional development opportunities
Networking opportunities with influential people from across the tech sector and academia
A vibrant office environment located a few minutes’ walk away from Cambridge train station

CommonAI CIC is an equal opportunity employer and is committed to creating an inclusive and diverse workplace.

Quick apply

Refine Your Search

foundation model engineer jobs

Foundation Model Engineer

Research Engineer Intern (Multimodal LLM)

Senior Research Engineer - Video Foundation Models (Pre - Training)

Model Design Engineer

Staff Applied ML Engineer - Financial Crime

DevOps Engineer

AI / ML Engineer

AI Research Engineer, Model Optimization and Inference

Machine Learning Platform Engineer

Infrastructure/SRE Engineer - Qualcomm - Remote, UK

GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO

Applied AI Security Architect

Software Engineer, Codex Enterprise

Senior Platform Engineer, Dashboard Platform

Machine Learning Engineer Intern (100% Remote)

Advanced Research Engineer

Engineering Director, EU

Machine Learning Engineer Intern (100% Remote Worldwide)

Staff Machine Learning Infrastructure Engineer, Simulation

Senior Infrastructure Engineer, Dashboard Platform

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