AI/ML Researcher

Thales

Aug 2

Applications are closed

Job
Full-time
Mid-level (3-4 years)
Reading

Requirements

Key Responsibilities and Tasks:
Be self-motivated to drive the work forward;
Have excellent communication skills, with the ability to understand and convey complex concepts;
Have an ability to listen to customers, interpret their needs, seek clarification and reach agreement, with a view to developing long lasting relationships;
Be able to support higher management;
Most importantly will be passionate for, and a demonstrable deep interest and continual hunger to develop in the area of ML/AI.
The successful candidate will typically have a minimum of three years of experience in an appropriate AI/ML research or advanced development environment role.
Track record of working in, and delivering research in AI/ML roles.
In-depth understanding of AI/ML research, in-particular deep learning techniques
E.g. Understanding of what foundation models are, how they can be trained with self-supervised learning and how they can be adapted to various downstream tasks.
Python with deep understanding of Pytorch (Tensorflow is OK but they would have to learn Pytorch).
Ability to understand complex new data and adapt existing technology to work with new datasets
Excellent communication skills, with the ability to understand and convey complex concepts.
We also expect candidates to be proficient in the use of standard PC-based office tools. We currently use Microsoft tools: Windows, Word, Excel, PowerPoint, Access, Project & Visio.
Experience in deployment of deep learning into production (developing robust ML-OPs pipelines).
C++, Matlab, Java experience.
Deployment of deep learning into edge devices, GPUs and FPGAs.
Domain knowledge in various Imagery, acoustic and time-series datasets.
The successful candidate will typically have an Honours degree (minimum 2.1), a Master’s degree, or a PhD in an appropriate scientific or engineering discipline.
This role requires SC level security clearance without caveats/restrictions (Either current or ability to gain full clearance is essential).

Responsibilities

Leading small teams accelerating AI/ML core research in-particular deep learning in Thales UK
Developing state-of-art AI/ML solutions to business problems
Coordinating with other research groups namely AI V&V, Human-Machine Teaming and applied AI
Help grow AI/ML research team capability and personnel
Under the governance of the Thales corporate technical strategy, investigate and develop new technologies and concepts up to (Technology Readiness Level) TRL5 of relevance across multiple market domains and a wide range of application areas
The successful candidate will be expected to be at the forefront of defining our research and development strategy within the area of AI & ML, whilst being comfortable to work within and potentially lead a group of researchers to deliver this strategy
To deliver work to agreed milestones and deadlines

FAQs

Do we support remote work?

Yes, we support remote work in a hybrid format.

What are the key responsibilities of the AI/ML Researcher?

Key responsibilities include leading small teams in AI/ML core research, developing state-of-the-art AI/ML solutions, coordinating with other research groups, growing the AI/ML research team capability, investigating new technologies, and delivering work to agreed milestones and deadlines.

What qualifications are needed for this role?

The candidate typically should have an Honours degree (minimum 2.1), a Master’s degree, or a PhD in an appropriate scientific or engineering discipline.

How many years of experience are required?

A minimum of three years of experience in an appropriate AI/ML research or advanced development environment role is typically required.

What programming languages should I be proficient in?

Proficiency in Python is required, with a deep understanding of PyTorch. Knowledge of TensorFlow is also acceptable but candidates must be willing to learn PyTorch.

Is security clearance required for this position?

Yes, this role requires SC level security clearance without caveats/restrictions.

What is the work schedule?

The work schedule is generally a full-time role with a half day every Friday, usually finishing around 1:00 PM.

What benefits does Thales offer?

Thales offers a competitive salary, a variable compensation plan, a pension scheme, 28 days of annual leave plus bank holidays, life cover, and access to an Employee Assistance Program among other benefits.

What opportunities for growth can I expect in this role?

The role offers opportunities for development and progression at all levels within the organization, along with access to market-leading training, mentoring, and coaching.

Is there support for career development?

Yes, Thales is committed to providing development-focused targets and various learning and career enhancement opportunities.

Is there an opportunity to work with a supportive team?

Yes, you will be working with a supportive and friendly team that values collaboration and innovation.

What type of projects will I be working on?

You will be involved in fundamental feasibility studies, modeling/simulation, and developing proof-of-concept demonstrators while exploring new concepts and technologies relevant to Thales businesses.

Do I need domain knowledge in specific datasets?

While not mandatory, having domain knowledge in imagery, acoustic, and time-series datasets is considered desirable for this role.

Thales

Build a future we can all trust.

Consulting

Industry

10,001+

Employees

2000

Founded Year

Mission & Purpose

Thales is a global technology leader with more than 77,000 employees on five continents. The Group is investing in digital and “deep tech” innovations – Big Data, artificial intelligence, connectivity, cybersecurity and quantum technology – to build a future we can all trust. Trust is essential for societies to flourish, with humans playing a central role in every critical decision. Thales's high-tech solutions, services and products help companies, organisations and governments to achieve their goals and ambitions. And in each of our five vertical markets — digital identity and security, defence and security, aerospace, space, and transport — our customers play a vital role in society.