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JobgetherJO

Machine Learning Engineer II (UK)

Jobgether

Salary: 68k-85k USD

United Kingdom only

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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Engineer II in the United Kingdom.

We are seeking a Machine Learning Engineer II to join a high-impact applied ML team focused on building scalable AI-driven solutions for real-world applications. In this role, you will design, implement, and deploy machine learning models and systems that deliver valuable insights and experiences at scale. You will collaborate closely with data scientists, engineers, and product teams to ensure solutions are efficient, robust, and customer-focused. The ideal candidate thrives in a fast-paced, innovative environment, enjoys problem-solving, and has hands-on experience in deep learning, computer vision, or other ML domains. You will have opportunities to influence product strategy, optimize ML pipelines, and contribute to advanced AI solutions deployed across cloud and edge environments.

Accountabilities:

  • Develop, train, and deploy machine learning models and systems for production environments.
  • Collaborate with cross-functional teams to design end-to-end ML solutions.
  • Implement and optimize computer vision and deep learning pipelines at scale.
  • Monitor model performance, handle retraining, and address model drift.
  • Contribute to software development in Python, C++, and associated ML frameworks.
  • Stay current with ML research, frameworks, and best practices to continuously improve solutions.

Requirements

  • Hands-on experience with Python and C++, with strong programming skills.
  • Familiarity with ML frameworks and tools such as PyTorch, TensorRT, MLOps pipelines, Kubernetes, and AWS.
  • Experience deploying ML models in cloud and/or edge environments.
  • Strong analytical and problem-solving skills with a growth mindset.
  • Excellent communication skills, capable of explaining complex technical concepts to cross-functional stakeholders.
  • Experience in video, real-time systems, embedded devices, or foundational models is a plus.
  • Demonstrated ability to work collaboratively in a fast-paced, innovative environment.

Benefits

  • Competitive salary range: £68,000—£85,000 GBP depending on experience.
  • Flexible work options including remote and hybrid schedules.
  • Career development opportunities with access to learning resources and mentorship.
  • Comprehensive medical and retirement benefits depending on location.
  • Supportive environment emphasizing wellbeing, work-life balance, and inclusion.
  • Access to modern office facilities and technology for optimal performance.
  • Employee resource groups and programs supporting diversity and inclusion.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening, which manages the final decision and next steps, including interviews or assessments.

Thank you for your interest!

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 68k-85k USD

Location requirements

Hiring timezones

United Kingdom +/- 0 hours
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Jobgether hiring Machine Learning Engineer II (UK) • Remote (Work from Home) | Himalayas