Machine learning engineer Work, Jobs in Stanford Le Hope, Ess (with Salaries)

Senior Machine Learning Engineer
Longshot Systems Ltd —London
- Full-time
- Hybrid work
- C++
- Machine learning
- Scripting
- Gym membership
Quick apply
Associate Software Engineer
Valorence Limited —London
- From £35,000 a year
- Full-time
- AWS
- Bachelor's degree
- Linux
Quick apply
7d
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
Machine Learning Engineer
Stint —London
- £50,000 - £200,000 a year
- Full-time
- Azure
- SQL
- AWS
- Gym membership
Quick apply
Senior Machine Learning Researcher
Longshot Systems Ltd —London
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Maths
- Gym membership
Quick apply
Graduate Machine Learning Engineer
Compare the Market —London
- Computer Science
- Engineering
- Machine learning
Quick apply
Junior Full Stack Developer
CST Training LTD —Bexley
- £35,000 - £40,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Free parking
- Work from home
Quick apply
13d
Machine Learning Engineer
Deliveroo —London
- Full-time
- Machine learning
Python Developers
CGI —London
- Full-time
- DevOps
- AWS
- APIs
Quick apply
Senior Machine Learning Engineer
Groundtruth AI Ltd —London
- £70,000 - £90,000 a year
- Full-time
- Hybrid work
- Azure
- Management
- Data analysis skills
- Work from home
Quick apply
13d
Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic —London
- £260,000 - £630,000 a year
- Hybrid work
- System design
- Master's degree
- C++
- Flexible schedule
AI Solutions Engineer
HeadFirst B.V. —London
- £4,000 - £8,500 a month
- Full-time
- Hybrid work
- Bachelor's degree
- JavaScript
- AI
Quick apply
8d
Software Engineers
CGI —London
- Full-time
- Java
- AWS
- C++
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
12d
Machine Learning Engineer
Apple —London
- Computer Science
- System design
- Master's degree
4d
Graduate AI Analyst
Computershare —London
- Full-time
- Hybrid work
- Data analysis skills
- AI
- Business
- Work from home
Sports Betting Trading Analyst
Longshot Systems Ltd —London
- Monday to Friday
- Hybrid work
- Data analysis skills
- Machine learning
- Communication skills
- Gym membership
Quick apply
Machine Learning Engineer Intern (100% Remote Worldwide)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Machine Learning Engineer Intern (100% Remote)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Senior Machine Learning Engineer (Chatbot & Generative AI)
Sky —London
- Full-time
- Hybrid work
- AWS
- Machine learning
- Agile

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machine learning engineer jobs near stanford le hope, ess

Senior Machine Learning Engineer

Longshot Systems Ltd
London

Quick apply

Job details

Full-time

Benefits

Company pension
Private medical insurance
Gym membership

Qualifications

TensorFlow
PyTorch
NumPy
Mathematics
Pandas
C++
C
Machine learning
SciPy
Physics
Scripting
Linux
Python

Full job description

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

We're hiring Machine Learning Engineers for our modelling engineering team. You'd be working closely with the quantitative research teams to turn prototype trading models into production-ready systems, design and build the tooling, frameworks and data engineering required to support strategy research and development as well as architecting the high-level design of the strategy software to minimise trading latency and scale effectively. Our ML stack is Python based and utilises modern ML libraries and tooling including Polars, Ray, Plotly etc.

The ideal candidate will have a strong software engineering background, with broad experience across a range of topics related to general high performance computing such as multi-threading, networking, profiling and optimisation. Experience working with the NumPy/SciPy stack is essential, as is experience with tools like C++, Numba etc for performance optimisation. Knowledge of common ML algorithms & techniques is a plus, although not essential.

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) - your background + interests
1st Technical interview (30 mins) - live code review & pair programming
2nd Technical interview (60 mins) - deep dive technical questions
Full assessment day (10:30–5pm) - 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) 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
A systematic, analytical approach to tackling problems and designing solutions

Experience with:

Python programming
Proficient in C/C++ on modern architectures
Experience with the NumPy/SciPy stack
Working with Linux platforms with knowledge of various scripting languages
Strong general high performance computing:
- Multi threading
- Profiling Python/C/C++ and performance optimisation
- Networking

Nice to have:

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 in scientific computing with other languages & frameworks

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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machine learning engineer jobs in stanford le hope, ess

Senior Machine Learning Engineer

Associate Software Engineer

Research Engineer, Machine Learning (RL Velocity)