Ai/ml engineer Work, Jobs in Brent, Gtl (with Salaries)

ML/AI Engineer
EntroMetrix —London
- £50,000 - £65,000 a year
- Full-time
- Computer Science
- Machine learning
- Travel
Quick apply
Research Engineer, Machine Learning (RL Velocity)
Anthropic —London
- £370,000 - £630,000 a year
- Hybrid work
- Bachelor's degree
- Machine learning
- Communication skills
- Flexible schedule
AI/ML ENGINEER
Sigma Consulting Group —London
- £60,000 a year
- Full-time
- Hybrid work
- Machine learning
- APIs
- AI
Quick apply
Anthropic Fellows Program
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Master's degree
- Maths
- Bachelor's degree
- Flexible schedule
Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Maths
- Bachelor's degree
- APIs
- Flexible schedule
AI/ML Engineer, London
Air Apps —London
- £60,000 - £76,000 a year
- Full-time
- Azure
- AWS
- Machine learning
- Life insurance
ML Engineer
The Football Association —Wembley Stadium
- Full-time
- Hybrid work
- Azure
- English
- Machine learning
- Annual leave
3d
AI/ML Engineer
DLA Piper —London
- Azure
- Computer Science
- Master's degree
ML Research Engineer
White Circle —London
- £120,000 - £250,000 a year
- Full-time
- Hybrid work
- English
- SQL
- Python
- Relocation assistance
- Annual leave
7d
AI Engineer
Xelix —London
- £65,000 - £75,000 a year
- Full-time
- Hybrid work
- Master's degree
- SQL
- AI
- Annual leave
- Employee discount
Quick apply
4d
Research Engineer, Pretraining
Anthropic —London
- £260,000 - £630,000 a year
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Flexible schedule
AI Engineer
Durlston Partners —London
- £150,000 a year
- Azure
- Doctoral degree
- Computer Science
AI/ML Engineer
Future Works —London
- Remote
- Master's degree
- Machine learning
- Contracts
4d
GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
12d
ML Engineer (PAD)
iProov —London
- £60,000 - £70,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Annual leave
- Employee discount
Quick apply
14d
ML Infrastructure Engineer
White Circle —London
- £180,000 - £350,000 a year
- Full-time
- Hybrid work
- English
- Master's degree
- C++
- Relocation assistance
- Annual leave
7d
Multimodal ML Engineer
White Circle —London
- £120,000 - £250,000 a year
- Full-time
- Hybrid work
- APIs
- Relocation assistance
- Annual leave
7d
AI Engineer
VEED.IO —London
- £76,000 - £119,400 a year
- DevOps
- APIs
- School
- Annual leave
Research Engineer, RL Scaling Science
Anthropic —London
- £375,000 - £640,000 a year
- Hybrid work
- Bachelor's degree
- AI
- Communication skills
- Flexible schedule
AI Engineer (LLMs, Agents & Applied Data Science)
Talan —London
- Full-time
- Hybrid work
- Azure
- Machine learning
- Travel
- Employee assistance programme
Quick apply
11d

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ML/AI Engineer

EntroMetrix
London

Quick apply

Job details

Full-time
£50,000 - £65,000 a year

Qualifications

Data mining
Computer Science
PyTorch
Machine learning
Python

Full job description

Company Description

EntroMetrix is an early-stage UK startup building physics-informed AI for industrial operations.

We help manufacturers improve efficiency, sustainability and operational performance by turning data into actionable intelligence. Our models have already been validated on real industrial data, showing significant improvement potential, and we are now expanding deployment.

We are founded by engineers from Cambridge and Imperial and are a small, high-calibre team tackling a critical industrial challenge, where the pace is fast, the technical bar is high, and every hire has direct impact on what we build.

Role Description

We are looking for a AI/ML Engineer to help build frontier models to understand and improve complex operational systems. The work sits at the intersection of scientific machine learning, time-series modelling, optimisation and real-world deployment. You will work closely with the founding team, customer sites and industrial data to turn early technical validation into a scalable product.

This is a hands-on engineering role. You will not just train models in isolation. You will build systems that need to work with messy data, operational constraints and real-world environments.

What you will do:

Design, train and deploy machine learning models for complex operational systems.
Work with sparse, noisy and irregular time-series data from real-world environments.
Build models that combine data-driven learning with physical and operational constraints.
Develop reusable modelling components that can scale across different sites and use cases.
Work with the product and engineering team to move models from prototype to production.
Evaluate model performance, reliability and robustness in applied settings.
Spend time with customers to understand the operational context behind the data.
Contribute to the technical direction of the platform as one of the first ML hire

What we are looking for:

A degree in machine learning, computer science, engineering, physics, mathematics, applied mathematics, operations research or a closely related STEM field from a top university.
Strong practical experience building machine learning models in Python, ideally using PyTorch, JAX or similar frameworks.
Experience with one or more of: scientific machine learning, physics-informed ML, time-series modelling, optimisation, simulation, forecasting or probabilistic modelling.
Comfort working with messy real-world data, including missing values, drift, noise and inconsistent data quality.
Interest in applying machine learning to physical systems, industrial operations and real-world optimisation problems.
In-person working from our London office, typically 4–5 days per week, with occasional travel to customer sites in the UK

Nice to have:

Experience deploying ML models into production.
Experience with optimisation, simulation, control systems or operations research.
Exposure to industrial or operational data environments.
Publications or research experience in scientific ML, machine learning for physical systems or applied optimisation.

Why join:

Competitive compensation package
Ownership of a critical technical layer at an early-stage company.
The chance to build frontier AI models that will define how factories are run over the next decade.
Work directly with manufacturers across sectors, from large enterprises to SMEs, and see your models deployed in real industrial operations help decarbonise and improve resilience across manufacturing.
A small, technical founding team with high ownership, honest feedback and no theatre.
Unlimited coffee (other drinks also possible).

How to apply:

Send your CV, a short note on a technical project you are proud of, and a few lines on why you are interested in applying machine learning to real-world systems to:

[email protected]

We are hiring now, with interviews in June/July. For questions or adjustments for the role, please email the above, and follow our LinkedIn page for updates!

Please note: This is an in-person role based in London. We are currently unable to offer visa sponsorship, so applicants must already have the right to work in the UK.

Pay: £50,000.00-£65,000.00 per year

Work Location: In person

Quick apply

Refine Your Search

ai/ml engineer jobs in brent, gtl

ML/AI Engineer

Research Engineer, Machine Learning (RL Velocity)

AI/ML ENGINEER

Anthropic Fellows Program

Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)

AI/ML Engineer, London

ML Engineer

AI/ML Engineer

ML Research Engineer

AI Engineer

Research Engineer, Pretraining

AI Engineer

AI/ML Engineer

GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO

ML Engineer (PAD)

ML Infrastructure Engineer

Multimodal ML Engineer

AI Engineer

Research Engineer, RL Scaling Science

AI Engineer (LLMs, Agents & Applied Data Science)

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