Machine Learning Engineer
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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
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: General
Based on transatlantic hiring benchmarks for Machine Learning Engineer roles across Boris FX's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to General.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked £60,252 - £90,235 bracket, including retirement vesting and health parity.
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