At a Glance
- Tasks: Develop innovative AI/ML solutions and collaborate on exciting projects.
- Company: Join a leading team of AI specialists in a dynamic research environment.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Great career progression and a chance to work on groundbreaking research.
- Why this job: Make a real impact in defence through cutting-edge AI technology.
- Qualifications: BSc in relevant field and experience with Python and ML frameworks.
The predicted salary is between 50000 - 70000 £ per year.
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 focussed 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.
Data Scientist and Machine Learning Researcher in Salford employer: hackajob
Join a forward-thinking team within the Strategic Research Group, where innovation meets purpose in developing cutting-edge AI solutions for defence. Our collaborative work culture fosters creativity and autonomy, providing ample opportunities for professional growth and the chance to contribute to impactful projects. Located in a dynamic environment, we offer competitive benefits and a commitment to nurturing talent, making us an exceptional employer for aspiring Data Scientists and Machine Learning Researchers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist and Machine Learning Researcher in Salford
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science and machine learning fields on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML solutions. Use GitHub to share your code and document your thought process. This not only demonstrates your technical abilities but also your problem-solving approach.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you’ll need to present your ideas to both technical and non-technical audiences. Mock interviews with friends can help you get comfortable with this.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with Python, ML packages, and any relevant projects. Let’s get you on board!
We think you need these skills to ace Data Scientist and Machine Learning Researcher in Salford
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and ML packages like TensorFlow or PyTorch. We want to see how you've tackled data-centric solutions in the past, so don’t hold back on those examples!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your ideas are easy to understand. Remember, you’ll need to communicate effectively with both technical and non-technical audiences.
Demonstrate Your Novel Thinking:We love fresh ideas! Use your application to showcase any innovative approaches you've taken in previous projects. This is your chance to stand out, so let your creativity shine through!
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 get the ball rolling on your journey with StudySmarter!
How to prepare for a job interview at hackajob
✨Know Your Stuff
Make sure you brush up on your knowledge of AI/ML algorithms and the specific technologies mentioned in the job description, like Python and its ML packages. Be ready to discuss your past projects and how they relate to the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in your previous work. Think about times when you had to come up with novel solutions or ideas, especially in a team setting, as this will resonate well with the interviewers.
✨Communicate Effectively
Practice explaining your technical work in simple terms. You’ll need to present your ideas to both technical and non-technical stakeholders, so being able to adapt your communication style is key. Consider doing mock interviews with friends or colleagues.
✨Be Proactive and Curious
Demonstrate your self-starter attitude by asking insightful questions about the company’s current projects and future directions. Show that you're not just looking for a job, but that you're genuinely interested in contributing to their mission-focused problems.
