Machine Learning Specialist (hybrid)

About the job

L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers’ mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries.

Description:

Job Title – Machine Learning Specialist

Job Location – Tewkesbury, UK, with flexible hybrid working 2/3 days per week

Job ID – SAS20221410-91962

Your next role

If you’re ready to take the next step in your career as a Machine Learning Specialist (Data Scientist), L3Harris is here to help you grow.
 At L3Harris, in our Intelligence & Cyber International (ICI) division, we work closely with UK Government and Security Agencies to shape and build cutting-edge solutions that combat the ever-evolving threats faced by the public and private sectors on a daily basis.

We have a opportunity for a Machine Learning Specialist to work on research and development projects in Electronic Warfare and Cyber domains.

You will join a growing team of three highly skilled data scientists and engineers involved in important new research as well as developing capabilities in our current portfolio. This role provides is an opportunity to do cutting edge research and be part of a transformational new capability for L3Harris and our customers.

The ideal candidate will be passionate about data science and machine learning technologies. They may have data science expertise combined with an appreciation of electronics hardware and software. Some experience or an interest in wireless technologies would be an advantage.
 

In return L3Harris offers exciting and rewarding projects and the opportunity to learn new data science stacks, programming languages, technologies, methodologies and standards. You will receive dedicated and mentored on-the-job training and experience of cross-domain working to develop your skills across different areas of the business.

What the role will involve

If you were to join our team of dedicated experts, the responsibilities of your role will include the following:

• Contribute to machine learning projects within the engineering team.
  
   
• Keep up to date on the latest research and industrial trends in machine learning and data science.
  
   
• Develop own knowledge and the capability of the team through research and development work.
  
   
• Work on integrating machine learning algorithms on hardware devices.
  
   
• Write code in MATLAB and Python and become familiar other languages as required.

What you’ll bring

The role of Machine Learning Specialist requires the following experience and skills:

• Degree qualified in Machine Learning, Engineering, Computer Science, Mathematics or similar.
• An enthusiasm for working with new and evolving technologies, sometimes outside of your immediate skill set, to solve a wide range of challenges using creative and innovative solutions.
• Experience with Python and numerical libraries.
• Experience with Matlab and similar modelling tools.
• The ability to independently perform research and exploratory tasks using publicly available software and information sources.
• Knowledge of classical and deep machine learning techniques.
• Knowledge of the design, implementation and verification of machine learning pipelines.
• Knowledge of frameworks such as Tensorflow or PyTorch etc
• Communication or RF knowledge desirable (although training would be given to upskill in these areas).
• Experience with C/C++ to design/implement algorithms (DSP, data science) desirable, not essential

Additional benefits

At L3Harris, we value and appreciate everything our people do for us, and offer an attractive package. A few of our benefits are:

• Flexible working hours and hybrid working where possible
• 3.5 hour day on Fridays – finish before 12pm!
• Pension scheme of up to 7% employer contribution
• 25 days holiday per year, increasing with long service and with the opportunity to buy/sell
• Private medical insurance
• Flexible opt-in extras such as a health care cash plan, dental insurance, gym membership, critical illness cover and cycle to work scheme
• Training and development opportunities and support with qualifications where relevant
• Mental health and wellbeing schemes

Important to know

Many of our roles require the ability to obtain a security clearance relevant to the country of the position. In addition, applicants who accept a conditional offer of employment must meet eligibility requirements for access to classified information and may be subject to government security checks.

L3Harris Technologies is proud to be an Affirmative Action/Equal Opportunity Employer. We are committed to maintaining a workplace that is free from unlawful discrimination and offers equal opportunities for all. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, and marriage and civil partnerships.

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