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🇬🇧 United Kingdom Corridor 🛡️ Verified Employer Direct Placement

Machine Learning Engineer

🏢 Boris FX 📍 Remote 💼 Unknown
Currency:
£60,252 - £90,235
£5,021 - £7,520 / mo
Verified Corporate Employer (Authorized Corporate Employer)

This vacancy is published by an accredited employer with authorized corporate payroll and standard compliance adherence.

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
Remote
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP ≈ $1.28 USD Living Standard
Direct corporate benchmark

Position Overview & Specifications

Are you excited about working in the visual effects industry developing VFX tools for the next blockbuster movie or groundbreaking TV show? Do you have a passion for turning computer vision concepts into real-world solutions?

Boris FX is a leading provider of specialised visual effects software to the film, media and advertising industries worldwide. Our products are used in top video content of all kinds. We care about speed, quality and creativity. We’re looking for a motivated research engineer to help us move faster, scale larger, and create more amazing products.

You’d work as part of our small, geographically dispersed development group on Academy and Emmy award-winning visual effects software and make a significant impact on our company.

Currently our team is working remotely due to the pandemic but, in the long term, this full-time position can either be in our Guildford, UK office, remote from elsewhere in the UK, or a combination of the two. The position is also open to overseas candidates working remotely as an independent contractor. Salary commensurate with skills and experience.

Roles and Responsibilities
In this role you will be working as part of the Boris FX Machine Learning Team solving various image manipulations and analysis tasks using state of the art AI tech.

Although your primary focus will be R&D, high-quality implementation is very important. Working within a team of experienced software engineers, you will write production-quality code, fix bugs within your area of expertise, and participate in all aspects of our software development process using source control, code review and issue tracking tools.

Required Education and Experience

  • Bachelor degree in CS or math or physics, advanced degree preferred
  • Understanding modern ML science, neural nets.
  • Experience in working with PyTorch or TensorFlow environment
  • Proficiency in reading academic research papers and adapting research to real life problem solving
  • Ability to express your ideas in well written python or C++ is vital

Pluses

  • Familiarity with commercial software development
  • Experience with parallel or GPU programming
  • Experience with machine learning tools
  • Knowledge of visual effects tasks and requirements
  • Experience working in a distributed team on commercial or open-source projects

Personal Characteristics

  • Excellent English verbal and written communication skills
  • Detail oriented
  • Enthusiasm to learn
  • Able to work independently
  • Likes a small company environment

Job Type: Full-time

Pay: £60,252.00-£90,235.00 per year

Benefits:

  • Company pension
  • Work from home

Schedule:

  • Monday to Friday

Supplemental pay types:

  • Bonus scheme

Education:

  • Bachelor's (preferred)

Experience:

  • Computer Vision: 3 years (required)

Work Location: Remote

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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

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Hiring Organization
Boris FX

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Location: Remote
Eligibility: Verified Employer Direct Placement
Schedule: Unknown
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