Machine learning engineer (large systems) Work, Jobs in Cambridge, Eng (with Salaries)

Foundation Model Engineer
CommonAI C.I.C. —Cambridge
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- AI
Quick apply
Computational Scientist (AI & Biology)
Ensocell —Cambridge
- Full-time
- Doctoral degree
- Machine learning
- AI
- Annual leave
- Employee assistance programme
Quick apply
6d
Applied Scientist - LLM, Alexa
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- AI
Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term)
University of Cambridge —Cambridge
- £34,610 - £46,049 a year
- Call to connect
- Doctoral degree
- Computer Science
- Research
4d
C++ AI/ML Software Engineer
HP —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
Growing AI PhD Studentship
University of Cambridge —Cambridge
- Computer Science
- Engineering
- Machine learning
4d
Staff Software Engineer (ML QA)
Graphcore —Cambridge
- Management
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
Software Engineer II - Clock Tree Synthesis (CTS), Innovus R&D
Cadence Design Systems —Cambridge
- Full-time
- Computer Science
- Engineering
- Master's degree
- Employee stock purchase plan
- Life insurance
Research Assistant/Associate in Data Centre Energy Systems (Fixed Term)
University of Cambridge —Cambridge
- £34,610 - £46,049 a year
- Doctoral degree
- Engineering
- Research
4d
Senior Software Engineer, AI Services
Aveva —Cambridge
- Full-time
- Hybrid work
- Azure
- Machine learning
- Mentoring
- Annual leave
Project Technical Lead - AI Systems Simulation
CommonAI C.I.C. —Cambridge
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Senior Solution Architect - IT/OT
Capgemini Sogeti —Cambridge
- Computer Science
- Engineering
- AWS
Sr. Applied Scientist, Alexa International
Amazon UK Services Ltd. —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- AI
Senior Solution Architect - IT/OT
Capgemini —Cambridge
- Computer Science
- Engineering
- AWS
Senior Developer Web – Marketing AI Systems
Arm —Cambridge
- £61,000 - £82,600 a year
- Hybrid work
- Analysis skills
- Bachelor's degree
- No degree
1d
Research Associate in Large Language Models for Biodiversity Data Extraction (Fixed Term)
University of Cambridge —Cambridge
- £37,694 - £46,049 a year
- Doctoral degree
- Computer Science
- University
4d
Go-To-Market (GTM) Engineer / Revenue Operations
Abselion —Cambridge
- £40,000 - £60,000 a year
- Full-time
- Analysis skills
- APIs
- AI
Deputy Development Director
Fitzwilliam College —Cambridge
- Full-time
- Master's degree
- Organisational skills
- AI
- Free parking
- Annual leave
Director of Software Architecture
Arm —Cambridge
- £168,300 - £227,700 a year
- Hybrid work
- Linux
- AI
Director, Translational Data Sciences
GlaxoSmithKline —Stevenage
- £108,000 - £180,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Presentation skills
- Annual leave
2h

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machine learning engineer (large systems) jobs near cambridge, eng

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

machine learning engineer (large systems) jobs in cambridge, eng

Foundation Model Engineer

Computational Scientist (AI & Biology)

Applied Scientist - LLM, Alexa

Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term)

C++ AI/ML Software Engineer

Growing AI PhD Studentship

Staff Software Engineer (ML QA)

Software Engineer II - Clock Tree Synthesis (CTS), Innovus R&D

Research Assistant/Associate in Data Centre Energy Systems (Fixed Term)

Senior Software Engineer, AI Services

Project Technical Lead - AI Systems Simulation

Senior Solution Architect - IT/OT

Sr. Applied Scientist, Alexa International

Senior Solution Architect - IT/OT

Senior Developer Web – Marketing AI Systems

Research Associate in Large Language Models for Biodiversity Data Extraction (Fixed Term)

Go-To-Market (GTM) Engineer / Revenue Operations

Deputy Development Director

Director of Software Architecture

Director, Translational Data Sciences

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