Machine learning engineer Work, Jobs in Mitcham, Gtl (with Salaries)

Junior Engineer
Tracer Cloud Inc —London
- Up to £70,000 a year
- Full-time
- AWS
- AI
- Python
- Annual leave
Senior Machine Learning Engineer
Lunio —London
- £70,000 - £90,000 a year
- Full-time
- Hybrid work
- SQL
- AWS
- Machine learning
Anthropic Fellows Program, AI Safety
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Maths
- Bachelor's degree
- APIs
- Flexible schedule
Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic —London
- £260,000 - £630,000 a year
- Hybrid work
- System design
- Master's degree
- C++
- Flexible schedule
Senior Machine Learning Engineer - Personalisation
Deliveroo —London
- Full-time
- Machine learning
- Communication skills
- Python
Machine Learning Engineer
Stint —London
- £50,000 - £200,000 a year
- Full-time
- Azure
- SQL
- AWS
- Gym membership
Quick apply
Machine Learning Engineer - Intelligence Group
Smartnumbers —London
- £55,000 a year
- Hybrid work
- DevOps
- Data analysis skills
- SQL
- Annual leave
- Employee assistance programme
Quick apply
Frontend Engineer
nPlan —London
- £70,000 - £90,000 a year
- Hybrid work
- JavaScript
- APIs
- AI
- Flexible schedule
Data Engineer
Redhorse International —London
- £51,355.35 - £106,846.96 a year
- Full-time
- SQL
- In-person
- AI
- Store discount
- Flexitime
Quick apply
Staff Machine Learning Infrastructure Engineer, Simulation
Waymo —London
- £155,000 - £163,000 a year
- Full-time
- Computer Science
- Bachelor's degree
- Machine learning
Software Architect – QA Analyst
Commonwealth Secretariat —London
- £69,175 a year
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
10d
Machine Learning Specialist – Systematic Trading
Durlston Partners —London
- Up to £300,000 a year
- Doctoral degree
- Computer Science
- Data analysis skills
Machine Learning Engineer
Almedia —London
- £130,000 - £230,000 a year
- Full-time
- SQL
- Machine learning
- Communication skills
Machine Learning Engineer Intern (100% Remote Worldwide)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Machine Learning Platform Engineer
Monzo —London
- £85,000 - £110,000 a year
- Part-time
- Remote
- DevOps
- AWS
- Machine learning
- Flexible schedule
Machine Learning Engineer
Waymo —London
- £120,000 - £130,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Senior Machine Learning Platform Engineer
Deliveroo —London
- Full-time
- AWS
- Machine learning
- Python
Machine Learning Engineer Intern (100% Remote)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Anthropic Fellows Program
Anthropic —London
- £2,310 - £4,300 a week
- Part-time
- Remote
- Master's degree
- Maths
- Bachelor's degree
- Flexible schedule
Machine Learning Scientist
Nucs AI —London
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Machine learning
Quick apply

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Junior Engineer

Tracer Cloud Inc
London

Apply Now

Job details

Full-time
Up to £70,000 a year

Benefits

Annual leave

Qualifications

Cloud infrastructure
Rust (programming language)
AWS
Distributed systems
Terraform
GitHub
Kafka
AI
Python

Full job description

About Us

Tracer is an early-stage, venture-backed startup building the open source AI SRE agent for production engineering (https://github.com/Tracer-Cloud/opensre) that automatically investigates production incidents across the entire production stack.

We are backed by experienced operators and investors who believe AI for production systems will be one of the defining enterprise software categories of the next decade. Our team is small, senior, and highly execution-focused.

About the Role

We are opening up engineering roles to earlier-career engineers who are hungry to work on hard problems. This is a hands-on role where you will contribute directly to the OpenSRE codebase, build integrations used by engineers worldwide, and work closely with the founding team.

If you have shipped real projects, contributed to open source, or built side projects, we want to hear from you.

You’ll Love Our Tech Stack

Python + LangGraph (for multi-agentic alert investigation)
Rust (because we like systems that are fast and correct)
ClickHouse (high-volume event + investigation history at scale)
AWS + Terraform (infrastructure that builds itself)

What You’ll Do

Build and maintain integrations connecting OpenSRE to tools like Grafana, Datadog, Kafka, Airflow and more
Contribute to the core agent: alert ingestion, context enrichment, hypothesis execution, and RCA reporting
Write tests and synthetic incident simulations for the RL environment
Review and respond to community pull requests and issues
Work directly with senior engineers and founders to ship features fast
Attend engineering conferences globally to connect with fellow engineers and grow awareness of the OpenSRE open source project

What We’re Looking For

0-2 years of professional experience, or strong project/extracurricular experience as a graduate
Comfortable in Python
Has shipped something real, a side project, open source contribution, university project, or anything you built and put in front of users
Curious about distributed systems, observability, or AI infrastructure
Bonus: prior open source contributions or experience with LangGraph, Grafana, Datadog, or cloud infrastructure

Compensation & Benefits

Total Compensation Range: up to £70,000 (incl. equity)

We structure compensation as follows:

Competitive base salary
Meaningful equity ownership with real upside
Final package depends on experience, impact, and seniority

What’s included:

Salary + equity
30 days annual leave
Employee health insurance
Visa sponsorship
Weekly team dinners and socials
Regular team offsites and trips (our most recent was Kenya )

Our Recruitment Process

Introductory Call (15-30 mins): Call with our founding team to discuss your background, motivations, and learn more about Tracer
Role Fit Interview (45 mins): Meet with our lead engineer or technical co-founder to review your working style, skills, and fit for the role
Take-home & Competency Deep Dive (1 hour): Complete a practical exercise (e.g., case study, presentation, or technical problem-solving) to explore the role's responsibilities and expectations
On-site meetup (Half Day): On-site interviews and team lunch at our headquarters to ask any questions and experience our office and culture firsthand
Offer: Final decision and offer

Apply Now

Refine Your Search

machine learning engineer jobs in mitcham, gtl

Junior Engineer

Senior Machine Learning Engineer

Anthropic Fellows Program, AI Safety

Research Engineer, Machine Learning (Reinforcement Learning)

Senior Machine Learning Engineer - Personalisation