Senior machine learning software engineer Work, Jobs (with Salaries)

Senior Machine Learning Engineer
Longshot Systems Ltd —London
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
- Gym membership
Quick apply
Senior Machine Learning Engineer
Deliveroo —London
- Full-time
- Customer service
- Machine learning
Senior Software Engineer - Machine Learning Platform
Deliveroo —London
- Full-time
- AWS
- Machine learning
- Python
Senior Machine Learning Engineer, Perception
Rivian —London
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Senior Software Engineer - Machine Learning (f/m/d)
Contentful —Remote
- Full-time
- Remote
- Azure
- Master's degree
- AWS
- Annual leave
Senior Software Engineer, Inference
Anthropic —London
- £225,000 - £325,000 a year
- Hybrid work
- Master's degree
- AWS
- Bachelor's degree
- Flexible schedule
Machine Learning Senior Software Engineer
Arm —Cambridge
- £73,500 - £99,500 a year
- Hybrid work
- English
- C++
- Machine learning
Senior Machine Learning Research Engineer - Research Engineering - MSR Cambridge
Microsoft —Cambridge
- £74,700 - £122,600 a year
- Full-time
- Doctoral degree
- Computer Science
- Data analysis skills
5d
Senior System Engineer
Leidos —Remote
- £61,500 - £78,800 a year
- Full-time
- Remote
- Engineering
- Bachelor's degree
- Organisational skills
- Annual leave
- Work from home
Senior Machine Learning Engineer
Hometrack —London
- Full-time
- SQL
- AWS
- Bachelor's degree
- Annual leave
- Referral programme
Quick apply
7d
Senior Machine Learning Engineer
BRAHMA —Remote
- Remote
- AWS
- Machine learning
- AI
Senior AI Engineer
Bluefish AI —London
- Remote
- Master's degree
- Analysis skills
- Machine learning
Senior Machine Learning Software Engineer
Oxford Instruments plc —Bristol
- Remote
- Azure
- Computer Science
- Master's degree
- Free parking
- Annual leave
4d
Senior Machine Learning Engineer
Prima —Remote
- Remote
- English
- AWS
- Machine learning
- Work from home
Quick apply
Senior Software Engineer - FTC
Public Library of Science —Glasgow
- £65,000 - £142,000 a year
- Remote
- Computer Science
- Bachelor's degree
- Machine learning
- Annual leave
Senior Frontend Engineer
Simple Machines —London
- Full-time
- Hybrid work
- Machine learning
- Software development
- Agile
Quick apply
Senior Machine Learning Engineer
Houseful —London
- Full-time
- Hybrid work
- AWS
- Machine learning
- Python
- Annual leave
- Referral programme
Quick apply
6d
Senior Machine Learning Engineer
AECOM —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
- Employee stock purchase plan
- Annual leave
Senior Software Engineer I - Onboarding Experience
Wise —London
- £87,500 - £111,000 a year
- Full-time
- Hybrid work
- Java
- Machine learning
- Communication skills
Quick apply
14d
Staff Software Engineer - Machine Learning
Capital One —London
- Full-time
- Hybrid work
- Azure
- System design
- AWS
17h

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Senior Machine Learning Engineer

Longshot Systems Ltd
London

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Job details

Full-time

Benefits

Company pension
Private medical insurance
Gym membership

Qualifications

TensorFlow
Azure
Computer Science
Kubernetes
PyTorch
NumPy
Test automation
Google Cloud Platform
Pandas
AWS
C++
Docker
C
Machine learning
SciPy
Linux
Python

Full job description

At Longshot Systems we build advanced platforms for sports betting analytics and trading.

We're hiring Machine Learning Engineers across our core ML engineering and horse racing teams. You'd be designing, building and productionising ML pipelines, tooling, visualisation, frameworks and data engineering workflows to support strategy research, analysis and development, working closely with our quantitative research teams to turn prototype trading models into production-ready systems. You'd also help shape the high-level architecture of our strategy software so it scales effectively and keeps trading latency low. Our ML stack is Python based and utilises modern ML libraries and tooling including Numpy, Scipy, Pytorch, Polars, Ray, Plotly, Dash etc.

The ideal candidate will have a strong software engineering background with a track record of building and maintaining production-grade ML pipelines. We are looking for engineers who are comfortable designing robust data engineering workflows, building reliable tooling, and writing clean, maintainable Python code. You should be proficient in modern Python ML and data processing libraries, with a focus on building systems that are scalable and easy to support. Knowledge of common ML algorithms is a plus, but your primary strength should be in software design and productionisation.

We are a hybrid working company, working Thursdays in our London (Farringdon) office and flexible the rest of the week. Our typical working hours are 10 am to 6 pm UK time, Monday to Friday, but we support flexible working and trust our team to manage their own schedules to meet their goals.

Our interview process is as follows:

Intro call (30 mins) - learn more about your background + discuss the role
Technical interview - Python software engineering assessment
Full assessment day (10:00–5pm) - a one day programming exercise designed to be similar to the real work we do in the team

Requirements

- A degree in a quantitative, technical subject (e.g. Machine Learning, Maths, Physics, Computer Science etc) from a top university
- Significant software engineering skills and experience, especially on the modern Python ML stack
- Takes pride in engineering excellence and encourages best practice in others
- Strong experience designing and maintaining ML pipelines and data engineering workflows
- Familiarity with modern engineering practices such as CI/CD, containerisation (e.g. Docker, Kubernetes) and automated testing
- Experience with cloud platforms (e.g. AWS, GCP or Azure)
- Comfortable working in a Linux environment

Nice to have:
- Advanced data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc
- Experience optimising dataframe code, e.g. in Pandas or ideally Polars
- Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc
- Experience deploying and serving ML models in production, including model monitoring and real-time inference
- Experience in scientific computing with other languages & frameworks
- Strong general high performance computing (multi-threading, networking, profiling and optimisation)
- Experience with C/C++

Benefits

Participation in the uncapped company bonus scheme
10% matched pension contributions
Private healthcare insurance
Long term illness insurance
Gym membership

Quick apply

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