Staff Machine Learning Engineer
other jobs Harnham - Data & Analytics Recruitment
Added before 2 Days
- England,London,City of London
- Full Time, Permanent
- £140,000 - £210,000 per annum
Job Description:
Staff Machine Learning Engineer
Competitive salary up to £140,000- £210,000 + bonus
London based (1 day in office per month)
This is a global technology group with an R&D team that moves fast and thinks big. They’re exploring how AI can raise the quality and performance of large-scale digital products, blending hands-on engineering with real research. If you enjoy trying new ideas, you’ll fit in perfectly.
THE COMPANY
This is a global tech organisation with a dedicated R&D function exploring how AI can improve the quality, reliability, and performance of large-scale digital experiences. The team works on forward thinking projects that blend research, experimentation, and hands-on engineering.
THE ROLE
As a Staff ML Engineer, you’ll take the lead on projects focused on anomaly detection in video based or interactive environments. You’ll guide technical direction, support junior engineers, run experiments, and ship models into production.
Specifically, you can expect to be involved in the following:
*Building and improving ML models for anomaly detection
*Leading research work streams
*Scoping, planning, and communicating project direction with stakeholders
*Mentoring juniors
*Working across areas like self supervised learning, multi modal, or vision-language models
*Bringing concepts to life: from research ? prototype ? production
SKILLS & EXPERIENCE
You’ll thrive in this role if you have:
*Experience leading technical delivery or mentoring junior ML engineers
*Strong hands-on ML skills in Python and frameworks like PyTorch or TensorFlow
*A background in anomaly detection, computer vision, or video based ML
*Experience taking ML research or prototypes through to real world deployment
*Either a research grounding (publications, research-led roles) or deep knowledge of gaming/interactive systems
BENEFITS
*Competitive salary
*1 day per month in the office
*Sponsorship available
*Great feedback and clear process
HOW TO APPLY
Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.
Competitive salary up to £140,000- £210,000 + bonus
London based (1 day in office per month)
This is a global technology group with an R&D team that moves fast and thinks big. They’re exploring how AI can raise the quality and performance of large-scale digital products, blending hands-on engineering with real research. If you enjoy trying new ideas, you’ll fit in perfectly.
THE COMPANY
This is a global tech organisation with a dedicated R&D function exploring how AI can improve the quality, reliability, and performance of large-scale digital experiences. The team works on forward thinking projects that blend research, experimentation, and hands-on engineering.
THE ROLE
As a Staff ML Engineer, you’ll take the lead on projects focused on anomaly detection in video based or interactive environments. You’ll guide technical direction, support junior engineers, run experiments, and ship models into production.
Specifically, you can expect to be involved in the following:
*Building and improving ML models for anomaly detection
*Leading research work streams
*Scoping, planning, and communicating project direction with stakeholders
*Mentoring juniors
*Working across areas like self supervised learning, multi modal, or vision-language models
*Bringing concepts to life: from research ? prototype ? production
SKILLS & EXPERIENCE
You’ll thrive in this role if you have:
*Experience leading technical delivery or mentoring junior ML engineers
*Strong hands-on ML skills in Python and frameworks like PyTorch or TensorFlow
*A background in anomaly detection, computer vision, or video based ML
*Experience taking ML research or prototypes through to real world deployment
*Either a research grounding (publications, research-led roles) or deep knowledge of gaming/interactive systems
BENEFITS
*Competitive salary
*1 day per month in the office
*Sponsorship available
*Great feedback and clear process
HOW TO APPLY
Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.
Job number 3413095
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Company Details:
Harnham - Data & Analytics Recruitment
Company size: 250–499 employees
Industry: Recruitment Consultancy
Harnham are the global leaders in Data & Analytics recruitment.Harnham provides specialist Data & Analytics recruitment staffing services and talent s...