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

Senior Machine Learning Engineer
Longshot Systems Ltd —London
- Full-time
- Hybrid work
- Azure
- Computer Science
- AWS
- Gym membership
Quick apply
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
Senior Machine Learning Researcher
Longshot Systems Ltd —London
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Maths
- Gym membership
Quick apply
Solutions Engineer
Ruleguard —London
- £100,000 - £120,000 a year
- Full-time
- AI
- Communication skills
Quick apply
Machine Learning Engineer
Deliveroo —London
- Full-time
- Machine learning
Research Engineer in Reinforcement Learning
InstaDeep —London
- £70,000 - £90,000 a year
- Hybrid work
- Software development
- APIs
- AI
- Gym membership
Quick apply
10d
First Line Support Engineer
British Transport Police —London
- £39,871.93 a year
- Full-time
- Computer Science
- Bachelor's degree
- AI
- Annual leave
- Gym membership
Quick apply
8h
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
Learning & Communications Coordinator
Tropic Skincare —Croydon
- £28,000 - £30,000 a year
- Monday to Friday
- Hybrid work
- Microsoft Powerpoint
- Social media management
- Organisational skills
- Employee assistance programme
- Employee discount
Quick apply
Research Engineer, Machine Learning (Reinforcement Learning)
Anthropic —London
- £260,000 - £630,000 a year
- Hybrid work
- System design
- Master's degree
- C++
- Flexible schedule
Machine Learning Engineer Intern (100% Remote)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Frontend Engineer
nPlan —London
- £70,000 - £90,000 a year
- Hybrid work
- JavaScript
- APIs
- AI
- Flexible schedule
Staff Software Engineer - Machine Learning
Capital One —London
- Full-time
- Hybrid work
- Azure
- System design
- AWS
17h
Senior Machine Learning Engineer
Deliveroo —London
- Full-time
- Customer service
- Machine learning
Data Engineer
Redhorse International —London
- £51,355.35 - £106,846.96 a year
- Full-time
- SQL
- In-person
- AI
- Store discount
- Flexitime
Quick apply
Machine Learning Engineer Intern (100% Remote Worldwide)
Tether Operations Limited —London
- Full-time
- Remote
- Doctoral degree
- Computer Science
- English
Machine Learning Engineer
kingfisher —London
- Full-time
- Hybrid work
- SQL
- Machine learning
- Python
2d
Senior Machine Learning Engineer (Recommendation)
Sky —London
- Full-time
- Hybrid work
- System design
- Analysis skills
- Machine learning
10d
Project Coordinator
International Rescue Committee —London
- £75,000 - £90,000 a year
- Remote
- GP surgery experience
- English
- Microsoft Office
- Annual leave
- Employee assistance programme
1d
GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
8d

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machine learning engineer jobs near surbiton, gtl

Senior Machine Learning Engineer

Longshot Systems Ltd
London

Quick apply

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

Refine Your Search

machine learning engineer jobs in surbiton, gtl

Senior Machine Learning Engineer

Research Engineer, Machine Learning (RL Velocity)

Senior Machine Learning Researcher

Solutions Engineer