Flexa
Mind Foundry • Oxford/Hybrid/Remote

Senior Machine Learning Research Scientist (Defence and Security)

Remote-first – with Co-working space

Core hours 10–4

Dog friendly

Job Description

We established Mind Foundry to ensure that AI can be used to radically transform our world for the better. To do this, we design intelligent tools that are easy to understand and easy to use. Born within the University of Oxford’s Machine Learning Group and founded by world-leading academics Professors Stephen Roberts and Mike Osborne, we empower teams with responsible AI solutions. We tackle high-stakes problems that help organisations in the public and private sectors, focusing on human outcomes and the long-term impact of AI interventions.

We grow and succeed together by working in collaborative, flexible, and self-organising remote-first teams, where your passion for robust, science led, product development will allow you to thrive. Working at Mind Foundry will provide an excellent platform for you to grow, learn, and have a real impact on the important problems in the world by helping us to make our vision a reality.

ABOUT THE ROLE

We are growing our team and are seeking a Senior Research Scientist. You will contribute to our Defence & Security work as part of our Applied Machine Learning team. You’ll engage directly with clients and stakeholders within the business, creating solutions for problems outside of our product sphere, or helping to apply the existing products into their business, alongside development of new and existing features for our main products.

WHAT YOU'LL BE DOING

You'll be using your experience in one or more of the following areas to create AI/ML solutions: signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. It is highly likely that as part of this role you will be required to work away at partner locations. This may be for up to 1 week at a time and we aim for this to not happen more than once every 2 months.

As a senior research scientist you'll need to:

  • Work collaboratively with colleagues across the team (Product Managers, Research Scientists, Research Software Engineers and our Engineering teams) to deliver professional-level software prototypes
  • Be responsible for ensuring scientific rigour and best practice is maintained throughout the delivery process, from research project to final implementation
  • Supervise other team members and interns in their work on research projects where necessary
  • Maintain and develop a good working knowledge of state-of-the-art Machine Learning research
  • Write technical material (deliverable reports, documentation, published papers, internal technical notes etc)
  • Contribute to bid and grant applications
  • Attend client meetings as required
  • Attend appropriate scientific conferences and events in areas related to our products and services
  • Mentor colleagues in performing research, or learning about Machine Learning or Data Science

WHAT YOU'LL NEED

  • A Masters degree in Computer Science, Applied Mathematics, Statistics, Physics or related field, or an equivalent level of experience in these subjects.
  • 5+yrs commercial or equivalent experience
  • Ability to work with state-of-the-art ML libraries to deliver powerful results quickly (e.g. Tensorflow or Pytorch)
  • Be fluent in a high-level programming language (Python/Java), ideally in a scientific or commercial context
  • Experience designing and implementing software systems that allow users to make best use of ML models in a clear and intuitive way
  • Be a champion of scientific integrity practices in terms of experimental rigour and validation
  • Be eager to learn and have a collaborative approach
  • Be comfortable speaking to customers and understanding what they need, or happy to learn quickly
  • Willing and eligible to apply and obtain UK security clearance to Security Check (SC) or Developed Vetting level, if not holding an existing clearance

GREAT IF YOU ALSO HAVE

  • Experience working with audio, radio frequency or imagery data.
  • Experience handling large datasets, suitable software techniques and hardware requirements
  • Knowledge of software development lifecycle and Agile methodologies
  • Other programming languages (Java, JavaScript/TypeScript)
  • Experience with Git and version control
  • Ability to communicate complex ideas at varying levels of depth according to audience

WHAT ELSE DO WE OFFER?

We believe in investing in our people by encouraging career and personal development aligned with your own goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you to be the best at what you do and to allow you to grow with the company.

You’ll enjoy a competitive compensation package and great benefits such as:

  • Flexible working
  • Professional and personal development
  • Private healthcare (including dental and optical cover)
  • 25 days holiday (excl bank holidays)
  • An opportunity for equity in the company
  • Group life cover
  • Pension
  • Physical and mental health well-being initiatives e.g. discounts on gym memberships, free fitness and nutrition programmes, and professional mental health support
  • Cycle to work scheme
  • Plus many more e.g. social events, games night, pub lunches, snack/treats etc - we make sure our remote workers are not left out!

Company benefits

Open to part-time employees
Open to compressed hours
Enhanced maternity leave – 3 Months full pay + 3 Months 50%
Enhanced paternity leave – 1 Month full pay + 1 month 50%
Adoption leave – Up to 3 months full pay + 3 months 50%
Shared parental leave – Up to 3 months full pay + 3 months 50%
25 days annual leave + bank holidays
Enhanced sick pay – Short term 10 days, long term up to 3 months full pay, 3 months 50% pay
Work from home allowance
Teambuilding days
Dog friendly office
Enhanced sick days
Health insurance
Dental coverage
Compassionate leave
Mental health platform access
Optional unpaid leave
Company shutdown periods
Workplace nursery salary sacrifice scheme
Cycle to work scheme
Fully stocked snack cupboard
Pension match/increase
Salary sacrifice
Life assurance
Location
97%
Employees are very happy with their working location freedom
Hours
92%
Employees are very happy with the flexibility in the hours they work
Benefits
78%
Employees are largely happy with the benefits their company offers
Work-life balance
80%
Employees feel that they can switch off quite easily from work
Role modelling
83%
Employees feel that flexible working is part of the culture
Autonomy
90%
Employees feel they have complete autonomy over getting their work done

Working at Mind Foundry

Company employees

70

Gender diversity (male:female)

70:30

Office locations

Oxford

Funding levels

£30.5M

Hiring Countries

United Kingdom

Awards & Achievements

Most flexible companies

Most flexible companies

Flexa100 2024
DeepTech, Data & AI

DeepTech, Data & AI

Industry awards 2023
Most flexible companies

Most flexible companies

Flexa100 2023
AI & VR

AI & VR

Industry awards 2022