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Principal Machine Learning Scientist Jobs in Leeds (£61k) | Owen Thomas

Organization
Owen Thomas | Pending B Corp™
Vacancies
N/A
Age Limit
N/A
Education
As per job description
Status
Active

🗓 Last Updated: 2026-03-20  |  📌 Source: Adzuna  |  Status: Active

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A – Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equitybenefits — Owen Thomas | Pending B Corp™

📍 Leeds, West Yorkshire  |  💷 £61,887 – £61,887/yr  |  ⏱ Full-time  |  🗓 Posted: 20 March 2026

Job Summary

This is a role for a highly skilled Principal Machine Learning Scientist to lead technical direction in ADMET modeling efforts within a life sciences company. The ideal candidate will have hands-on experience with either ADMET or Structural Biology modeling and a strong background in machine learning engineering.

Job Details at a Glance

Job Title Principal Machine Learning Scientist
Company Owen Thomas | Pending B Corp™
Location Leeds, West Yorkshire
Salary £61,887 – £61,887/yr
Job Type Full-time
Posted Date 20 March 2026
Working Arrangement Fully Remote, EU
Vacancies As per job description

What You’ll Be Doing

  • Lead the technical direction for ADMET modeling efforts.
  • Apply machine learning techniques to improve drug discovery processes.
  • Collaborate with cross-functional teams to integrate ADMET modeling into the drug discovery pipeline.
  • Develop and maintain large-scale machine learning models for ADMET predictions.
  • Stay up-to-date with the latest advancements in machine learning and ADMET modeling.
  • Communicate complex technical concepts to non-technical stakeholders.
  • Mentor junior team members in machine learning and ADMET modeling.
  • Contribute to the development of the company’s drug discovery platform.
  • Ensure the quality and validity of machine learning models and results.

Who Should Apply?

This role is ideally suited for an experienced machine learning scientist with a strong background in ADMET or Structural Biology modeling. The candidate should have excellent technical skills, be able to work independently, and have a passion for applying machine learning to real-world problems.

This role may also suit career changers or returners to work who have a strong foundation in machine learning and a willingness to learn about ADMET modeling. However, it’s essential to have relevant experience and skills to be considered for this position.

    ✅ You’re a great fit if you:

  • Have experience in machine learning and ADMET modeling.
  • Are proficient in programming languages such as Python or R.
  • Have a strong understanding of drug discovery processes.
  • Are able to work in a fully remote environment.
    ❌ This role may NOT suit you if you:

  • Lack experience in machine learning or ADMET modeling.
  • Are not proficient in programming languages.
  • Require a non-remote working arrangement.

Requirements

Essential Desirable/Preferred
PhD in a relevant field (e.g., computer science, biology, chemistry). Experience with cloud-based technologies.
Strong background in machine learning and ADMET modeling. Knowledge of drug discovery processes.
Proficiency in programming languages such as Python or R. Experience with data visualization tools.

Is This Job Worth It?

✅ Pros

  • Competitive salary and early equity benefits.
  • Opportunity to work on a cutting-edge drug discovery platform.
  • Fully remote work arrangement.
⚠️ Cons

  • High level of technical expertise required.
  • May require long hours or intense focus during critical project phases.
  • Remote work may require self-motivation and discipline.

Is This Job Easy or Hard?

This job is likely to be demanding due to the high level of technical expertise required and the need to apply complex machine learning concepts to real-world problems. The role also involves working in a fully remote environment, which can be challenging for some individuals.

However, for the right candidate, this role can be highly rewarding, offering the opportunity to work on a cutting-edge drug discovery platform and contribute to the development of new medicines.

The difficulty level of this job can be rated as ⚡ Moderate to Demanding, depending on the individual’s experience and skills.

Salary Insights & UK City Comparison

  • 💷 This job’s salary: £61,887 – £61,887/yr
  • 📅 Estimated monthly take-home: approximately £4,200 – £4,200 after tax (estimate only — actual depends on your tax code and deductions)
  • 📊 UK average for this role: £55,000 – £80,000/yr
  • 📍 Local pay context: The salary for this role in Leeds is competitive, considering the local cost of living.

The following table compares the salary for this role in different UK cities:

City Typical Salary Range vs This Job
London £70,000 – £100,000/yr 🔼 Higher
Manchester £50,000 – £75,000/yr 🟰 Similar
Birmingham £45,000 – £70,000/yr 🔽 Lower
Leeds £55,000 – £80,000/yr 🟰 Similar
Edinburgh £60,000 – £85,000/yr 🟰 Similar
Bristol £50,000 – £75,000/yr 🟰 Similar

Considering the local cost of living, the salary for this role in Leeds is competitive, making it an attractive option for those looking to work in the city.

About Owen Thomas | Pending B Corp™

Owen Thomas | Pending B Corp™ is a mission-driven technology company operating in the life sciences domain. The company is committed to using technology to improve human health and is dedicated to creating a positive impact on society.

How to Apply

  1. Read the full job description carefully and confirm you meet the essential requirements.
  2. Prepare your CV — highlight relevant experience matching the key responsibilities above.
  3. Write a brief covering note (2–3 sentences) explaining why you are a good fit.
  4. Click the Apply button at the bottom of this page to go to the official listing.
  5. Complete the application form on the employer’s website.
  6. Watch your email for a response — response times vary by employer.

Interview Preparation

Q: Can you explain your experience with machine learning and ADMET modeling?

  • Tip: Be prepared to provide specific examples of your experience and how it applies to this role.
Q: How do you stay current with the latest advancements in machine learning and ADMET modeling?

  • Tip: Discuss your strategies for ongoing learning and professional development.
Q: Can you describe your experience working in a fully remote environment?

  • Tip: Highlight your ability to work independently and effectively in a remote setting.
Q: Why do you want to work for Owen Thomas | Pending B Corp™, and what do you know about the company’s mission and values?

  • Tip: Show your understanding of the company’s goals and how your skills and experience align with them.
Q: How do you handle challenges or setbacks in your work, particularly in a remote environment?

  • Tip: Provide an example of a time when you overcame a difficult situation and what you learned from it.

Frequently Asked Questions

Is this job open to people without experience?

No, this role requires significant experience in machine learning and ADMET modeling.

Does Owen Thomas | Pending B Corp™ sponsor UK work visas?

As per job description, please inquire with the employer for visa sponsorship details.

What are the working hours for this role?

As per job description, the working hours are not specified, but it is a full-time position.

Is remote work available?

Yes, this role is fully remote, and you can work from anywhere in the EU.

What is the approximate monthly take-home after tax?

Approximately £4,200 – £4,200 after tax, depending on your tax code and deductions.

Are there opportunities for progression in this role?

As per job description, opportunities for growth and professional development are available.

Related Job Searches

🔍 Related Job Searches:

Machine Learning jobs UK
Science jobs Leeds
Remote jobs EU
Principal Machine Learning Scientist jobs
Leeds jobs
Owen Thomas jobs

Ready to Apply?

📍 Leeds, West Yorkshire  |  💷 £61,887 – £61,887/yr  |  ⏱ Full-time

✅ Apply for This Job Now →

You will be taken to the official application page on Adzuna

Disclaimer: The information provided is based on the job listing and may not reflect the full scope of the position or the company’s policies.

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