Applied ai ml Work, Jobs in London, Eng (with Salaries)

Applied AI Engineer
Fuse Energy —London
- Full-time
- Hybrid work
- Machine learning
- IT
- AI
- Annual leave
Quick apply
AI Engineer (LLMs, Agents & Applied Data Science)
Talan —London
- Full-time
- Hybrid work
- Azure
- Machine learning
- Travel
- Employee assistance programme
Quick apply
13d
ML/AI Engineer
EntroMetrix —London
- £50,000 - £65,000 a year
- Full-time
- Computer Science
- Machine learning
- Travel
Quick apply
Software Engineer (Applied AI)
Euphoric Global —London
- £90,000 - £110,000 a year
- Full-time
- Remote
- Azure
- AWS
- APIs
Applied AI Security Architect
Anthropic —London
- £190,000 - £230,000 a year
- Hybrid work
- Azure
- English
- AWS
- Flexible schedule
2026 AI/ML Research Fellow
Intuition Machines, Inc. —London
- Full-time
- Remote
- Doctoral degree
Quick apply
Applied AI ML Lead
JPMorganChase —London
- Full-time
- Master's degree
- SQL
- AI
Staff Applied ML Engineer - Financial Crime
Wise Australia Investments —London
- £145,000 - £182,000 a year
- Financial services
- Python
14d
Applied Scientist I
Entrust —London
- Full-time
- Hybrid work
- AWS
- Machine learning
- Python
Applied AI Engineer
Trafigura —London
- Full-time
- AWS
- Software development
- AI
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience
Graduate Applied Research Engineer
Xapien —London
- £30,000 - £40,000 a year
- Full-time
- Hybrid work
- AWS
- Communication skills
- Python
- Life insurance
Applied Research - Artificial Intelligence - London - Associate
Goldman Sachs —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
- Employee assistance programme
GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
14d
ML Research Engineer
White Circle —London
- £120,000 - £250,000 a year
- Full-time
- Hybrid work
- English
- SQL
- Python
- Relocation assistance
- Annual leave
10d
Data Scientist – GenAI & AI Engineering
Experian Information Solutions —London
- Full-time
- Hybrid work
- Machine learning
- AI
- Python
- Annual leave
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
Responsible AI, Lead Applied Scientist - X Delivery
Boston Consulting Group —London
- Full-time
- Azure
- Doctoral degree
- Computer Science
AI Deployment Strategist
Pigment —London
- Full-time
- Computer Science
- Engineering
- English
Research Scientist – World Models, Robotics & Embodied AI
Meta —London
- AI
- Internship
- Python

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Applied AI Engineer

Fuse Energy -
London

Quick apply

Job details

Full-time

Benefits

Annual leave

Qualifications

TensorFlow
Law
PyTorch
Machine learning
Usability
Natural language processing
IT
AI
Python

Full job description

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.

We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.

But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.

We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.

Responsibilities

Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space

Requirements

Minimum 3 years of engineering experience
Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
Solid understanding of cloud technologies, containerisation and building scalable AI applications
Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
Experience working with large datasets, particularly in relation to demand and supply forecasting

Bonus

Experience or strong interest in energy markets and trading strategies
Understanding of weather forecasting, energy demand patterns, and production modelling
Exposure to Natural Language Processing (NLP) or other related fields

Benefits

Competitive salary and an equity sign-on bonus
Biannual bonus scheme
Fully expensed tech to match your needs
Paid annual leave
Breakfast and dinner allowance for office based employees

Quick apply

Refine Your Search

applied ai ml jobs in london, eng

Applied AI Engineer

AI Engineer (LLMs, Agents & Applied Data Science)

ML/AI Engineer

Software Engineer (Applied AI)

Applied AI Security Architect

2026 AI/ML Research Fellow

Applied AI ML Lead

Staff Applied ML Engineer - Financial Crime

Applied Scientist I

Applied AI Engineer

Physical AI Data Scientist - QuantumBlack Labs

Graduate Applied Research Engineer

Applied Research - Artificial Intelligence - London - Associate

GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO

ML Research Engineer

Data Scientist – GenAI & AI Engineering

ML Engineer (PAD)

Responsible AI, Lead Applied Scientist - X Delivery

AI Deployment Strategist

Research Scientist – World Models, Robotics & Embodied AI

I want to receive the latest job alerts for applied ai ml in london, eng

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