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

AI/ML Engineer
Melotech —London
- Full-time
- Remote
- Computer Science
- Machine learning
- AI
Anthropic Fellows Program, AI Safety & Security
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Research
- Master's degree
- Bachelor's degree
- Flexible schedule
Global AI/ML Engineer Senior Manager
Boston Consulting Group —London
- £173,000 - £211,000 a year
- Full-time
- Computer Science
- DevOps
- Engineering
- Profit sharing
- Annual leave
AI/ML & Prompt Engineer LLM, RAG & Voice Agent
QuantumLoopAI —London
- Full-time
- Remote
- Azure
- Master's degree
- Machine learning
Quick apply
Global Learning Experience Design Senior Manager – AI-powered Upskilling Campaigns
Boston Consulting Group —London
- Full-time
- English
- Master's degree
- Project management
AI/ML Engineer
Future Works —London
- Remote
- Master's degree
- Agile
- AI
Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Research
- Bachelor's degree
- Communication skills
- Flexible schedule
Research Intern – AI and 6G Systems
GSMA —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Software Engineer III - AI/ML Platform
JPMorganChase —London
- Full-time
- Computer Science
- Engineering
- Master's degree
AI Research Engineer
Normal Computing Corporation —London
- £200,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Research
- Machine learning
2026 AI/ML Research Fellow
Intuition Machines, Inc. —London
- Full-time
- Remote
- Doctoral degree
- Research
- Machine learning
Quick apply
Principal ML Engineer | Sports AI & Computer Vision
Sky —London
- Full-time
- Hybrid work
- AI
- Free parking
- Employee discount
AI/ML Engineer
Aivra Health —London
- £27,827.24 - £35,825.62 a year
- Azure
- Computer Science
- Master's degree
Quick apply
AI/ML ENGINEER
Sigma Consulting Group —London
- £60,000 a year
- Full-time
- Hybrid work
- AI
- Communication skills
Quick apply
Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
Meta —London
- Doctoral degree
- Computer Science
- Software development
Data Scientist – Agentic AI - Permanent UK
Satalia —London
- Remote
- Computer Science
- APIs
- AI
- Flexible schedule
Staff AI/ML Engineer
Checkout.com —London
- Full-time
- Hybrid work
- Machine learning
- AI
Quick apply
Global AI/ML Engineer Manager
Boston Consulting Group —London
- Full-time
- Mentoring
- AI
- Communication skills
Research Scientist – World Models, Robotics & Embodied AI
Meta —London
- Research
- AI
- Internship
Software Engineer III - AI/ML Data Platforms - AI Engineer - Python
JPMorganChase —London
- Full-time
- Machine learning
- Mentoring
- Software development

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AI/ML Engineer

Melotech
London

Apply Now

Job details

Full-time

Qualifications

Performance tuning
Computer Science
Machine learning
Machine learning modelling
AI

Full job description

Who we are

Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 3 billion minutes worldwide.

Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR.

What you will do

As our ML Engineer, you'll be the technical backbone powering our content platform. You'll tackle the critical questions: How do we build ML systems that scale to millions of users while maintaining low latency? What's the optimal architecture for training and deploying models that understand cultural trends in real-time? And how do we leverage cutting-edge models to enhance creative processes while preserving quality? Working fully autonomously alongside our founder and the team, your answers to these questions will directly influence our company's success. On a typical day, your tasks may include:

Building and deploying production ML models for within our content and product ecosystem
Designing scalable ML infrastructure and pipelines that handle massive media datasets
Implementing inference systems for content optimization across multiple verticals
Fine-tuning and deploying multimodal AI systems using MLOps best practices
Collaborating with data science teams to transition research models into production-ready systems
Optimizing model performance for cost efficiency while maintaining accuracy and speed requirements
Integrating ML capabilities into existing platforms and building APIs for seamless model consumption

Who you are

You're a production-focused ML engineer who bridges the gap between cutting-edge tech and scalable systems. Your expertise lies in building robust ML infrastructure that powers real-world applications at scale. You thrive in fast-paced environments where your technical decisions directly impact business outcomes and user experiences. Typically, your profile will look like this:

Degree in Computer Science, Machine Learning, Mathematics, Engineering, or related technical field
3+ years of hands-on ML engineering experience building production systems at Big Tech companies, high-growth startups, or media/entertainment platforms
Expert-level proficiency in Python, ML frameworks, and cloud platforms
Extensive experience with MLOps tools and practices including Docker, Kubernetes, model versioning, and monitoring systems
Proven track record deploying and scaling ML models in production environments with high availability requirements
Self-directed approach with ability to architect complex systems independently while collaborating across technical teams
You thrive in a fast-paced and performance-oriented environment
Colleagues would describe you as hard-working, ambitious and persistent
You're obsessed with music, video or social media

What makes this exciting

You are one of the first employees of an ambitious team, changing the world of media and entertainment. Being early means every decision you make shapes our trajectory. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate.

We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together.

What the process will look like

We hire on a rolling basis. Earliest starting date is always ASAP.

Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage:

Take-home case study: Real-world project - showcase your skills and working style
Case interview: 90-minute case discussion - getting to know you & present and debate your results with a team member
Online assessment: Motivational questionnaire and aptitude test - are you made for the job?
Founder interview: 90-minute interview with our CEO - going deep on all topics
Team interview: Individual or group interview with other team members - depending on position
Offer, contract signing and onboarding

Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role.

Apply Now

Refine Your Search

ai/ml engineer jobs in bromley, gtl

AI/ML Engineer

Anthropic Fellows Program, AI Safety & Security

Global AI/ML Engineer Senior Manager

AI/ML & Prompt Engineer LLM, RAG & Voice Agent

Global Learning Experience Design Senior Manager – AI-powered Upskilling Campaigns

AI/ML Engineer

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

Research Intern – AI and 6G Systems

Software Engineer III - AI/ML Platform

AI Research Engineer

2026 AI/ML Research Fellow

Principal ML Engineer | Sports AI & Computer Vision

AI/ML Engineer

AI/ML ENGINEER

Research Scientist Intern, AI/ML, Core Ads Growth (PhD)

Data Scientist – Agentic AI - Permanent UK

Staff AI/ML Engineer

Global AI/ML Engineer Manager

Research Scientist – World Models, Robotics & Embodied AI

Software Engineer III - AI/ML Data Platforms - AI Engineer - Python

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