Job Detail

Machine Learning Research Scientist / Research Engineer

Data Science and AI Full–time
ID: #10528
Posted: 2026-03-03
Salary

Description

We are partnering exclusively with a pioneering organisation developing next‑generation computing technologies to appoint a Machine Learning Research Scientist/Research Engineer. This is a rare opportunity to join a team working at the intersection of machine learning, computational science, and emerging hybrid computing architectures. The work focuses on algorithmic innovation, generative modelling, and benchmarking ML systems on cutting‑edge hardware platforms. You will contribute to the development of new machine learning algorithms designed for advanced computing systems that extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models, numerical methods, and hybrid quantum‑classical approaches. Essential Experience • Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). • Strong background in machine learning research, including algorithm development and benchmarking. • Hands‑on experience with generative models (diffusion, flows, GANs). • Proficiency in PyTorch, Python, and modern ML tooling. • Experience in computational science, numerical methods, or scientific computing. • MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics, or a related field, or equivalent research experience. This role is ideal for candidates who thrive in research‑driven environments, enjoy developing new ML methods, and want to work on problems that blend machine learning, physics, and advanced computation. Due to the nature of the work, this role is best suited to candidates with a strong research background rather than purely production‑focused ML experience. If you’re excited by the idea of building ML algorithms for non‑traditional compute architectures, we’d welcome a confidential conversation.

Hard Skills 2
Skill Source Confidence
Python llm_hard
100%
PyTorch llm_hard
100%
Soft Skills 1
Skill Source Confidence
Collaboration llm_soft
100%
Apply Options
Publisher Direct Link
IT Jobs Watch No Apply
IT Jobs Watch No Apply
API Logs for this Job
Query Country Status Response ms Created
Machine Learning Research Scientist / Research Engineer extracted 3504 2026-03-22 02:26
Machine Learning Research Scientist / Research Engineer classified 1412 2026-03-21 21:00
junior deep learning engineer in United Kingdom gb duplicate 13733 2026-03-21 17:11
junior machine learning engineer in United Kingdom gb processed 9050 2026-03-21 16:57
junior machine learning engineer in United Kingdom gb duplicate 9050 2026-03-21 16:57
Raw JSON
{
  "job_id": "pacwuVZSUKejofWDAAAAAA==",
  "job_city": null,
  "job_state": null,
  "job_title": "Machine Learning Research Scientist / Research Engineer",
  "job_salary": null,
  "job_country": "GB",
  "job_benefits": null,
  "job_latitude": 51.483706999999995,
  "job_location": "Cardiff",
  "job_onet_soc": "15111100",
  "apply_options": [
    {
      "is_direct": false,
      "publisher": "IT Jobs Watch",
      "apply_link": "https://www.itjobswatch.co.uk/jv/IntaPeople/Machine-Learning-Research-Scientist-Research-Engineer-Job-London-Paddington-UK-4yqd0f?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    },
    {
      "is_direct": null,
      "publisher": "IT Jobs Watch",
      "apply_link": "https://www.itjobswatch.co.uk/jv/IntaPeople/Machine-Learning-Research-Scientist-Research-Engineer-Job-London-Paddington-UK-4yqd0f"
    }
  ],
  "employer_logo": null,
  "employer_name": "IntaPeople",
  "job_is_remote": false,
  "job_longitude": -3.1680962,
  "job_posted_at": "18 days ago",
  "job_publisher": "IT Jobs Watch",
  "job_apply_link": "https://www.itjobswatch.co.uk/jv/IntaPeople/Machine-Learning-Research-Scientist-Research-Engineer-Job-London-Paddington-UK-4yqd0f?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
  "job_highlights": {},
  "job_max_salary": null,
  "job_min_salary": null,
  "job_description": "We are partnering exclusively with a pioneering organisation developing next‑generation computing technologies to appoint a Machine Learning Research Scientist/Research Engineer. This is a rare opportunity to join a team working at the intersection of machine learning, computational science, and emerging hybrid computing architectures. The work focuses on algorithmic innovation, generative modelling, and benchmarking ML systems on cutting‑edge hardware platforms.\n\nYou will contribute to the development of new machine learning algorithms designed for advanced computing systems that extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models, numerical methods, and hybrid quantum‑classical approaches.\n\nEssential Experience\n• Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems).\n• Strong background in machine learning research, including algorithm development and benchmarking.\n• Hands‑on experience with generative models (diffusion, flows, GANs).\n• Proficiency in PyTorch, Python, and modern ML tooling.\n• Experience in computational science, numerical methods, or scientific computing.\n• MSc or PhD in Machine Learning, Computer Science, Physics, Applied Mathematics, or a related field, or equivalent research experience.\n\nThis role is ideal for candidates who thrive in research‑driven environments, enjoy developing new ML methods, and want to work on problems that blend machine learning, physics, and advanced computation. Due to the nature of the work, this role is best suited to candidates with a strong research background rather than purely production‑focused ML experience.\n\nIf you’re excited by the idea of building ML algorithms for non‑traditional compute architectures, we’d welcome a confidential conversation.",
  "job_google_link": "https://www.google.com/search?q=jobs&gl=gb&hl=en&udm=8#vhid=vt%3D20/docid%3DpacwuVZSUKejofWDAAAAAA%3D%3D&vssid=jobs-detail-viewer",
  "employer_website": "https://www.intapeople.com",
  "job_onet_job_zone": "5",
  "job_salary_period": null,
  "job_apply_is_direct": false,
  "job_employment_type": "Full–time",
  "job_employment_types": [
    "FULLTIME"
  ],
  "job_posted_at_timestamp": 1772496000,
  "job_posted_at_datetime_utc": "2026-03-03T00:00:00.000Z"
}