At a Glance
- Tasks: Lead AI projects, evaluate new technologies, and foster an innovative community.
- Company: Join AWE, a mission-driven organisation dedicated to national safety.
- Benefits: Competitive salary, flexible working, generous leave, and professional development support.
- Other info: Enjoy a collaborative environment with excellent career growth opportunities.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: Experience in AI/ML development and strong leadership skills required.
The predicted salary is between 41000 - 81000 £ per year.
Salary: £41,000 - 81,000 per year
Requirements
- Bachelors degree (or equivalent experience) in Computer Science, Data Science, Engineering, Mathematics or a related STEM discipline.
- Proven substantial experience in AI/ML development, data science, or a related technology domain, including leading the development or evaluation of complex AI solutions from concept through to implementation.
- Experience providing technical leadership to others.
- Demonstrable track record of delivering innovative technical outcomes in line with quality, safety, and security standards, ideally within a regulated or mission-critical environment.
- Deep knowledge of modern AI and machine learning techniques and frameworks, including machine learning algorithms, model lifecycle management, and data engineering for AI.
- Ability to apply AI and ML techniques effectively on real-world projects.
- Excellent analytical, communication, and leadership skills.
- Hands-on proficiency in programming and prototyping, such as Python, AI/ML libraries, and data analysis tools.
- An energetic, inquisitive, and proactive approach with the integrity to thrive in a high-security, safety-first environment.
Responsibilities
- Continuously scan the AI landscape to identify emerging tools, models, and techniques with strategic value.
- Maintain an internal tech radar to keep us ahead of developments and support the growth of our internal AI capability.
- Plan and run structured assessments, benchmarking, and hands-on trials of new AI technologies.
- Produce clear recommendations on whether to adopt, trial, or reject technologies based on practical evidence and risk analysis.
- Maintain a forward-looking roadmap that aligns emerging AI capabilities, skills, and investments with organisational needs.
- Convert evaluation and prototype learnings into reusable solution patterns, templates, sample code, and reference architectures.
- Ensure all AI capability development activities comply with our safety, security, ethical, data protection, and nuclear governance standards.
- Provide technical leadership to and coordinate the AI-assisted software development team and supporting AI team members.
- Foster a collaborative and innovative AI community across our organisation.
- Build small-scale demonstrators to de-risk new technologies, gather real-world evidence, and generate reusable components that can be scaled by delivery teams.
- Lead knowledge-sharing, advanced training, hackathons, and community events to upskill engineers, data scientists, and technologists.
- Manage key external AI partnerships with vendors, research bodies, and industry forums.
- Secure early access to innovations, influence product roadmaps to suit our needs, and bring in external expertise to keep us at the cutting edge.
Technologies
- AI
- Support
- Machine Learning
- Python
- Security
We are AWE and our shared purpose is to help keep the nation safe. This AI Platform Specialist role is based at our RG7 4PR location between Reading and Basingstoke, with free onsite parking. We offer a salary of £61,460 to £95,000 depending on suitability, qualifications, and experience, plus a 9-day working fortnight, flexible working requests, and hybrid working available on an informal, non-contractual basis. Our award-winning benefits include generous annual leave, a market-leading contributory pension scheme, family-friendly policies, professional development support, an Employee Assistance Programme, Occupational Health Services, life assurance, discounts, and special leave for volunteering, public service, and caring.
AI Platform Specialist employer: Sivara GmbH
At AWE, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our AI Platform Specialist role not only provides competitive salaries and flexible working arrangements but also prioritises employee growth through professional development support and community engagement initiatives. Located conveniently between Reading and Basingstoke, our commitment to safety and ethical standards ensures that you will thrive in a meaningful role that contributes to national security while enjoying a range of generous benefits.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Specialist
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sivara GmbH.
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We think you need these skills to ace AI Platform Specialist
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!
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Craft a Tailored Cover Letter:For a full-time role at Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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!
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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 Sivara GmbH!
✨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.
