At a Glance
- Tasks: Lead the design and delivery of innovative AI/ML solutions for national security.
- Company: Join a leading National Security and Cyber organisation with a collaborative culture.
- Benefits: Competitive salary, bonuses, generous holiday, and strong pension contributions.
- Other info: Hybrid working model with excellent career progression and mentorship opportunities.
- Why this job: Make a real impact on critical national security missions using cutting-edge technology.
- Qualifications: Degree in Data Science or related field; strong Python and ML experience required.
The predicted salary is between 43000 - 72000 £ per year.
Salary: £43,000 - 72,000 per year
Requirements
- We require a degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.
- We require strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.
- We require proven experience delivering machine learning solutions within commercial, research or government environments.
- We require a strong understanding of modern AI/ML techniques across Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision.
- We require experience training, fine‑tuning and evaluating machine learning and AI models.
- We require the ability to undertake technical research and apply findings to real‑world challenges.
- We require experience producing high‑quality technical documentation, reports or research publications.
- We require previous experience mentoring team members and providing technical leadership.
- We require an active eDV (enhanced DV) UK Security Clearance.
- We prefer an MSc or PhD with a strong research background.
- We prefer experience developing and maintaining robust ML pipelines and MLOps practices.
- We prefer familiarity with version control, containerisation and environment management tools, including Git and Docker.
- We prefer experience working within Linux environments and using command‑line tooling.
- We prefer experience deploying and scaling AI/ML solutions into production environments.
- We prefer cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable.
- We prefer published research in peer‑reviewed journals or conferences.
- We prefer experience writing technical proposals, bids or research funding submissions.
Responsibilities
- We design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy.
- We lead technical investigations, research activities and AI/ML development across customer and internal projects.
- We identify innovative approaches to solving complex technical challenges and contribute to future research directions.
- We provide technical leadership within project teams and support successful project delivery.
- We collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions.
- We mentor and support junior team members, helping to develop technical capability across the wider team.
- We communicate complex technical concepts clearly to both technical and non‑technical audiences.
Technologies
- AI
- AWS
- Azure
- Cloud
- Computer Vision
- Docker
- GCP
- Git
- Support
- Linux
- Machine Learning
- PyTorch
- Python
- Security
- TensorFlow
We are a leading National Security and Cyber organisation developing advanced AI and machine learning solutions that support critical national security missions. We work within a mature Agile environment and collaborate closely with customers, engineers, researchers and data scientists on complex real‑world challenges. This role can be based in Gloucester, Manchester or London, with hybrid working typically three days per week on site. We offer opportunities at Associate, Senior and Principal levels, a collaborative environment with experienced specialists, and strong opportunities for technical development, leadership and career progression. Our benefits include a competitive salary, eDV bonus on top of salary, annual bonus, company bonus scheme, contributory pension scheme with up to 10.5% company contribution, life assurance at six times salary, and 25 days holiday plus public holidays, with the option to buy and sell up to five days.
Principal Data Scientist and Machine Learning Researcher employer: Frontier Resourcing Ltd
As a leading employer in the manufacturing technology sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous professional development opportunities and the chance to work on impactful projects within a highly regulated industry. Located in the UK, our team enjoys a supportive culture that values security, compliance, and excellence, making it an ideal place for Solution Architects looking to make a meaningful contribution to business transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist and Machine Learning Researcher
✨Get Involved in Data Science Meetups
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When you find a suitable opening like Principal Data Scientist and Machine Learning Researcher at Frontier Resourcing Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Principal Data Scientist and Machine Learning Researcher
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Frontier Resourcing Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Frontier Resourcing Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Frontier Resourcing Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Frontier Resourcing Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.