Foundation model engineer Work, Jobs in Gravenhurst, Bdf (with Salaries)

Foundation Model Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
Quick apply
Experimental Physics Consultant
PA Consulting —Melbourn
- Full-time
- Doctoral degree
- Engineering
- Data analysis skills
- Annual leave
Quick apply
Data Scientist
Tesco UK —Welwyn Garden City
- Full-time
- AI
- Employee assistance programme
Junior Cloud Reliability Engineer
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- Communication skills
- Annual leave
- Flexible schedule
Quick apply
7d
Site Engineer
Survey Solutions —Bedford
- Overtime
- AutoCAD
- Quality control
- Travel
- Flexible schedule
- Referral programme
Quick apply
Computational Physics & Signal Processing Consultant
PA Consulting —Melbourn
- Full-time
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
Quick apply
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- AI
Bioinformatics Scientist/Engineer – DRAGEN Array
Illumina —Cambridge
- Full-time
- Doctoral degree
- Computer Science
- Mentoring
6d
AIOps Lead
M-KOPA —Cambridge
- Full-time
- Remote
- AI
- Leadership
8d
Graduate Geotechnical / Geoenvironmental Engineer - Cambridge - 2027
Stantec —Cambridge
- Hybrid work
- Engineering
- Master's degree
- Bachelor's degree
3h
R&D Development Engineer
NicholsonSTS —Bassingbourn
- £30,000 - £45,000 a year
- Full-time
- Communication skills
- Free parking
- Annual leave
Quick apply
Graduate Building Surveyor - Cambridge (Immediate start)
AECOM —Cambridge
- Full-time
- Hybrid work
- Writing skills
- Master's degree
- Bachelor's degree
7d
Bridge Engineer
Pell Frischmann —Luton
- Full-time
- Hybrid work
- Civil engineering
- Engineering
- Communication skills
Lead Analytics Engineer
Graphcore —Cambridge
Senior MLOps Engineer
Abcam —Cambridge
- Full-time
- Machine learning
- In-person
- AI
- Annual leave
Software Engineer (Rust)
CommonAI C.I.C. —Cambridge
- Full-time
- Software troubleshooting
- Bachelor's degree
- AI
Quick apply
Graduate Highways/Infrastructure Engineer
Pell Frischmann —Luton
- Full-time
- Hybrid work
- Civil engineering
- Engineering
- Master's degree
Junior Quality Assurance Engineer - 6 Month FTC
The Delta Group —Bishop's Stortford
- Hybrid work
- Communication skills
Quick apply
Senior Product Manager - Runescape
Jagex: The RuneScape Company —Cambridge
- Full-time
- Hybrid work
- Analysis skills
- Product management
- Analytics
- Annual leave
- Flexible schedule
Quick apply
Principal Scientist, Translational Data Sciences
GlaxoSmithKline —Stevenage
- £74,250 - £123,750 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Bachelor's degree
- Annual leave
1d

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Foundation Model Engineer

CommonAI C.I.C.
Cambridge

Quick apply

Job details

Full-time

Benefits

Company pension

Qualifications

TensorFlow
CI/CD
Performance tuning
Law
Master's degree
CI/CD pipelines
Machine learning
Machine learning modelling
Data pipeline
AI
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 in gravenhurst, bdf

Foundation Model Engineer

Experimental Physics Consultant

Data Scientist

Junior Cloud Reliability Engineer

Site Engineer

Computational Physics & Signal Processing Consultant

Applied Scientist - LLM, Alexa

Bioinformatics Scientist/Engineer – DRAGEN Array

AIOps Lead

Graduate Geotechnical / Geoenvironmental Engineer - Cambridge - 2027

R&D Development Engineer

Graduate Building Surveyor - Cambridge (Immediate start)

Bridge Engineer

Lead Analytics Engineer

Senior MLOps Engineer

Software Engineer (Rust)

Graduate Highways/Infrastructure Engineer

Junior Quality Assurance Engineer - 6 Month FTC

Senior Product Manager - Runescape

Principal Scientist, Translational Data Sciences

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