Mission-Focused AI/ML Research Scientist in Salford

Mission-Focused AI/ML Research Scientist in Salford

Salford Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Limelight Health

At a Glance

  • Tasks: Develop innovative AI/ML solutions for mission-focused challenges in defence.
  • Company: Join Raytheon, a leader in technology and defence innovation.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Dynamic team environment with opportunities for research and development.
  • Why this job: Make a real impact with cutting-edge AI technology while collaborating with experts.
  • Qualifications: BSc in relevant field and experience in Python and ML frameworks.

The predicted salary is between 50000 - 70000 £ per year.

hackajob is collaborating with Raytheon to connect them with exceptional professionals for this role.

About The Role

This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focused problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas for solving challenging problems. You will communicate these ideas effectively to senior technical leaders to feed into the technical direction of your projects.

Responsibilities

  • Develop novel data science solutions, contributing significantly to machine learning projects as part of a team, with some guidance and direction from seniors.
  • Bring experience in developing and delivering data-centric solutions.
  • Undertake research and applied AI/ML tasks on both customer and internal research projects.
  • Work with autonomy on assigned tasks within project groups.
  • Generate ideas for new research directions.
  • Deliver AI/ML/Data Science solutions to a broad range of problems in defence.
  • Work with more senior group members, customers and internal stakeholders to determine appropriate technical approaches and do the technical development required for delivery.
  • Excellent communication skills, prepared to present and undertake practical demonstrations of work internally in the team and to senior stakeholders with adaptability to audiences of different levels of technical expertise.

Essential Skills & Experience

  • BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.
  • Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch).
  • Have experience of delivering ML solutions to stakeholders.
  • Demonstrate good understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature, with some support and technical direction set by seniors.
  • Experience of training and developing AI models including Large Language Models.
  • Ability to produce high-quality scientific (academic style) writing for internal & external publication.
  • Problem solve with high levels of autonomy, with some input from technical leaders.
  • Be a self-starter, being pro-active in finding solutions.

Desirable

  • PhD or Masters degree highlighting experience of academic research.
  • Experience using robust ML pipelines, appropriate version control and environment management (such as venvs or Docker).
  • Working knowledge of Linux systems, using basic command line functionality (e.g. AWS CLI, Docker CLI, Linux commands like ssh, ls, cd…)
  • Experience working in Cloud, especially AWS but also equivalents such as GCP or Azure.
  • Research publications in peer-reviewed journals.
  • Comfortable following agile processes for project delivery.
  • Experience of delivering AI/ML projects in defence or government.

Mission-Focused AI/ML Research Scientist in Salford employer: Limelight Health

Raytheon is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Strategic Research Group where mission-focused AI/ML solutions are developed. Employees benefit from a supportive environment that encourages professional growth through mentorship from senior team members, as well as opportunities to engage in cutting-edge research that directly impacts defence projects. Located in a dynamic sector, Raytheon offers a unique chance to contribute to meaningful advancements while working alongside some of the brightest minds in technology.

Limelight Health

Contact Details:

Limelight Health Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Mission-Focused AI/ML Research Scientist in Salford

Tip Number 1

Network like a pro! Reach out to professionals in the AI/ML field on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.

Tip Number 2

Showcase your skills! Create a portfolio of your projects, especially those related to AI/ML. This can be a great way to demonstrate your capabilities and make a lasting impression during interviews.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and understanding of AI/ML algorithms. Practice common interview questions and consider mock interviews to build your confidence.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Mission-Focused AI/ML Research Scientist in Salford

Data Science
Machine Learning
AI Solutions Development
Python Programming
HuggingFace
TensorFlow
PyTorch

Some tips for your application 🫡

Show Your Passion for AI/ML:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how you can contribute to mission-focused projects, so share any personal projects or experiences that highlight your passion and skills in this area.

Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the role. Highlight relevant experience with Python, ML packages, and any specific projects you've worked on that align with the job description. We love seeing how your background fits into our team!

Communicate Clearly:Since communication is key in this role, ensure your application is well-structured and easy to read. Use clear language to explain your ideas and experiences, as if you're presenting to a diverse audience. We appreciate clarity and conciseness!

Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re proactive and keen to join our team at StudySmarter!

How to prepare for a job interview at Limelight Health

Know Your AI/ML Stuff

Make sure you brush up on your knowledge of AI and ML algorithms, especially those relevant to the role like Generative AI, NLP, and computer vision. Be ready to discuss your experience with Python and ML packages like TensorFlow and PyTorch, as well as any projects you've worked on that showcase your skills.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled challenging problems in previous roles. Highlight your ability to work autonomously while still being open to guidance from senior team members. This will demonstrate your self-starter attitude and adaptability.

Communicate Effectively

Since you'll need to present ideas to both technical and non-technical audiences, practice explaining complex concepts in simple terms. Think about how you can tailor your communication style to different stakeholders, ensuring clarity and engagement.

Research and Prepare Questions

Do your homework on Raytheon and their mission-focused projects. Prepare insightful questions that show your interest in their work and how you can contribute. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.