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- Tasks: Lead innovative AI and data science projects, guiding multidisciplinary teams to deliver cutting-edge solutions.
- Company: Dynamic tech company at the forefront of AI and advanced analytics.
- Benefits: Competitive salary up to ÂŁ90,000, collaborative culture, and opportunities for research partnerships.
- Other info: Join a strong engineering-led culture with excellent career growth and research opportunities.
- Why this job: Make a real impact in safety-critical environments while working with leading-edge technology.
- Qualifications: PhD in relevant field and significant experience in AI/ML and leading R&D teams.
The predicted salary is between 90000 - 90000 ÂŁ per year.
Operating at the leading edge of advanced analytics, artificial intelligence, and data‑driven decision support, delivering complex solutions into safety‑critical and mission‑focused environments. Its teams work across long‑term R&D programmes, translating cutting‑edge research into deployable capability used by highly demanding customers.
The culture is strongly engineering‑led, research‑driven, and collaborative, with close links to academia and partner organisations. As a Lead Technologist, you will join a growing AI and Data Science capability and play a central role in leading technical delivery across large, complex AI programmes.
You’ll guide multidisciplinary teams working across areas such as:
- Reinforcement learning
- Natural language processing
- Large language models
- Knowledge graphs
- AI applied to sensing domains including RF, electronic warfare, radar, sonar, acoustics, imagery, and remote sensing
You will identify novel research opportunities, help establish partnerships with leading academic institutions, and direct research activities to ensure technical excellence and real‑world applicability. You will also provide engineering assurance across bids, publications, and project outputs, raising quality and consistency by applying your experience and judgement.
Qualifications:
- PhD in a relevant technical discipline (e.g. AI, ML, data science, computer science, engineering, mathematics, or physics)
- Significant post‑doctoral experience (typically ~10+ years) applying AI / ML in industry or advanced research environments
- Proven experience leading R&D teams or technical workstreams on complex AI‑driven programmes
- AI / ML for imagery and computer vision, including remote sensing
- Natural Language Processing and Large Language Models
- Knowledge graphs and graph‑based neural networks
- AI applied to RF, electronic warfare, radar, sonar, or acoustics
Team Lead Software Engineering employer: Sanderson Government & Defence
Contact Detail:
Sanderson Government & Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Team Lead Software Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data science fields. Attend meetups, webinars, or conferences where you can chat with industry leaders and potential employers. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI, ML, and data-driven solutions. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on key concepts in AI and data science. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Team Lead Software Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your experience in AI, ML, and leading R&D teams. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data science, and how you can contribute to our collaborative culture. Let us know what excites you about this role!
Showcase Relevant Projects: Include specific examples of projects you've worked on that relate to the job. Whether it's reinforcement learning or natural language processing, we want to see your hands-on experience and technical expertise.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Sanderson Government & Defence
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest advancements in AI, ML, and data science. Brush up on your knowledge of reinforcement learning, natural language processing, and large language models. Being able to discuss these topics confidently will show that you’re not just familiar with the theory but can also apply it practically.
✨Showcase Your Leadership Skills
As a Team Lead, you’ll need to demonstrate your ability to guide multidisciplinary teams. Prepare examples from your past experiences where you successfully led R&D projects or technical workstreams. Highlight how you foster collaboration and drive results, especially in complex AI-driven programmes.
✨Research the Company Culture
Understand the engineering-led and research-driven culture of the company. Familiarise yourself with their partnerships with academic institutions and how they translate research into real-world applications. This will help you align your answers with their values and show that you’re a good fit for their team.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come prepared with insightful questions about their current projects, future research opportunities, and how they measure success in their AI programmes. This not only shows your genuine interest but also gives you a chance to assess if this is the right environment for you.