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- Tasks: Lead AI and Data Science projects, guiding teams in cutting-edge research and development.
- Company: Innovative tech firm at the forefront of AI and advanced analytics.
- Benefits: Competitive salary up to ÂŁ90,000, collaborative culture, and opportunities for professional growth.
- Other info: Join a dynamic team with strong links to academia and exciting R&D programmes.
- Why this job: Make a real impact in safety-critical environments with groundbreaking AI solutions.
- Qualifications: PhD in relevant field and 10+ years of experience in AI/ML.
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, and 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.
- 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
Locations
Development Team Lead/Senior Developer in Chelmsford, Essex employer: Sanderson Government & Defence
Contact Detail:
Sanderson Government & Defence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Development Team Lead/Senior Developer in Chelmsford, Essex
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and data science community. Attend meetups, conferences, or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your work in AI, ML, and data science. This is your chance to demonstrate your skills and experience beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of reinforcement learning, NLP, and other relevant areas. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to the specific role and showcasing your passion for AI and data science.
We think you need these skills to ace Development Team Lead/Senior Developer in Chelmsford, Essex
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the job description. Highlight your expertise in AI, ML, and any relevant projects you've led. We want to see how you can contribute to our cutting-edge work!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and data science, and how your background makes you the perfect fit for the Lead Technologist role. Keep it engaging and personal!
Showcase Your Leadership Experience: Since this role involves leading teams, be sure to highlight your experience in managing R&D teams or technical workstreams. Share specific examples of how you've guided projects to success and fostered collaboration.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our platform!
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 Development Team Lead, you’ll need to demonstrate your ability to lead multidisciplinary teams. Prepare examples from your past experiences where you successfully guided teams through complex projects. Highlight how you foster collaboration and drive technical delivery, as this will resonate well with the interviewers.
✨Research the Company Culture
Understanding the company’s engineering-led and research-driven culture is crucial. Familiarise yourself with their recent projects and partnerships with academic institutions. This knowledge will help you align your answers with their values and show that you’re genuinely interested in contributing to their mission.
✨Prepare for Technical Questions
Expect in-depth technical questions related to AI applications in safety-critical environments. Practice articulating your thought process when solving complex problems. Use real-world examples to illustrate your experience with AI applied to RF, electronic warfare, or remote sensing, as this will demonstrate your expertise and relevance to the role.