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- Tasks: Design and implement AI-driven networking systems for advanced 6G research.
- Company: Join Digital Catapult, a leader in tech innovation and diversity.
- Benefits: Enjoy hybrid working, excellent holiday packages, and a vibrant culture with social events.
- Why this job: Shape the future of intelligent networks while collaborating with top experts in a dynamic environment.
- Qualifications: Experience with AI, cloud technologies, and strong programming skills are essential.
- Other info: 1-year contract with opportunities for learning and development.
The predicted salary is between 36000 - 60000 £ per year.
5 days ago Be among the first 25 applicants
Digital Catapult is seeking a talented and motivated Future Network Technologist to support the design, implementation, and delivery of AI-native observability and self-healing frameworks within the scope of advanced 6G research. The successful candidate will directly contribute to projects around AI for Networks. The Technologist that will join the team will leverage Large Language Models (LLMs) for automated monitoring, orchestration and remediation in cloud-native, disaggregated telecom infrastructures – helping to shape the next generation of intelligent, resilient networks.
In this role, you\’ll design, implement, and deploy intelligent networking systems powered by large language models, intent-based automation, and cloud-native architectures. You\’ll work alongside interdisciplinary experts in a fast-paced, exploratory environment where your ideas and expertise will help define tomorrow\’s networks.
This role is a 1 year contract.
WHAT YOU\’LL DO (Duties)
- AI-Assisted Observability Development
- Design and implement telemetry pipelines using Prometheus, OpenTelemetry, and Elastic
- Ingest and analyse metrics, logs, and traces from CNFs, edge nodes, and service mesh environments
- LLM-Based Self-Healing Systems
- Deploy and fine-tune open-source LLMs (e.g. LLaMA, Mistral) to detect anomalies and misconfigurations
- Integrate with frameworks like LangChain to enable Retrieval-Augmented Generation (RAG) for diagnostics
- Translate AI outputs into executable Kubernetes remediation actions
- Platform Orchestration & Integration
- Extend and integrate with Digital Catapult\’s orchestration frameworks (e.g. CAMINO, ANEMOS)
- Design self-healing loops and automation flows aligned with ETSI ZSM and AI-native networking principles
- System Evaluation & Testbed Deployment
- Use failure injection techniques in 6G testbeds to assess detection and resolution latency (e.g. MTTR)
- Benchmark against rule-based or static baselines
- Collaboration & Dissemination
- Work closely with academic and industry partners (King\’s College London, Hull, Brunel, etc.)
- Contribute to publications, reports, open-source contributions, and CHEDDAR community activities
Requirements
- AI & ML Expertise: Hands-on experience with machine learning, data preprocessing, and deploying/fine-tuning LLMs (e.g., Transformers, RAG, LangChain).
- Cloud & DevOps Skills: Proficient with Kubernetes, Docker, Helm, and cloud-native observability tools like Prometheus, Grafana, and OpenTelemetry.
- Programming & Networking Know-How: Strong Python skills (PyTorch, tokenization, etc.) plus solid understanding of networking and application-layer protocols (TCP/IP, HTTP).
- Advanced Connectivity technologies: Knowledge of AI-driven, intent-based networking, service meshes, CNFs, and emerging 5G/6G architectures (OpenRAN, RICs, DU/CU).
- Collaboration & Communication: Excellent at working across disciplines, explaining complex ideas simply, and thriving in fast-moving, innovative environments.
Deadline for Applications: 8th August 2025
Commitment to Equality, Diversity and Inclusion
We recognise and value the advantages and opportunities that come with having people from diverse backgrounds working with us and it is our ambition to build an organisation which is representative and reflective of UK society.
We welcome applications from neurodivergent candidates, candidates from minority and underrepresented groups and from candidates with more or less experience, provided the requisite skills can be demonstrated.
As members of the Disability Confident Scheme, we guarantee to interview all disabled applicants who meet the minimum criteria for the vacancy. Please do speak with us about adjustments that could support you through our interview process.
Digital Catapult is an equal opportunities employer.
Benefits
- We are in the UK\’s Top 100 Best Workplaces and placed in the UK\’s Best Workplaces in Tech and Large Organisations
- 5% performance related bonus
- Digital Catapult is a Disability Confident Committed Level 1 Employer
- Excellent holiday package: 25 days annual leave, Bank Holidays and 3 days between Christmas and New Year:
- Double-matched pension up to 10% of your salary;
- 4% of your salary to use towards selecting benefits that work for you, including health cash plan, Private Medical Insurance; buying holiday, topping up your pension;
- E-Vehicle Scheme; Cycle2Work; Tech Scheme; Gym Discounts; Give As you Earn; PerkPal;
- Life insurance 4x salary;
- Free to access EAP & Financial Wellbeing advice;
- Enhanced maternity and paternity leave;
- Hybrid working – with great offices to work from 2 days per week with some roles needing to be onsite more regularly to ensure the successful delivery of our work;
- Investment in your ongoing learning and development with us;
- Company social events throughout the year and free office snacks!
We have a vibrant and engaging culture where all voices are heard and a variety of employee led affinity groups who champion initiatives and provide opportunities for feedback to be shared.
We use moments in the year to educate everyone at Digital Catapult on different aspects of Equity, Diversity and Inclusion and to raise awareness.
We also enjoy socialising and having fun together through a variety of company-wide events held throughout the year including our football team, running and climbing groups and volunteering activities.
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Future Network Technologist - AI employer: Digital Catapult
Contact Detail:
Digital Catapult Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Future Network Technologist - AI
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and networking technologies, especially those related to 6G. Being able to discuss current trends and innovations during your interview will show your passion and commitment to the field.
✨Tip Number 2
Network with professionals in the industry by attending relevant conferences or meetups. This can help you gain insights into the role and potentially get a referral, which can significantly boost your chances of landing the job.
✨Tip Number 3
Engage with online communities focused on AI and networking, such as forums or social media groups. Sharing your knowledge and asking questions can help you build connections and learn more about what Digital Catapult is looking for in a candidate.
✨Tip Number 4
Prepare to demonstrate your technical skills through practical exercises or case studies during the interview process. Being ready to showcase your experience with tools like Kubernetes, Prometheus, and LLMs will set you apart from other candidates.
We think you need these skills to ace Future Network Technologist - AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, machine learning, and cloud-native technologies. Emphasise your hands-on experience with LLMs, Kubernetes, and observability tools, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and networking technologies. Mention specific projects or experiences that align with the job description, showcasing how you can contribute to Digital Catapult's goals.
Showcase Collaboration Skills: Highlight any previous experiences where you worked in interdisciplinary teams. This role requires excellent collaboration skills, so provide examples of how you've effectively communicated complex ideas to diverse audiences.
Demonstrate Continuous Learning: Mention any recent courses, certifications, or workshops related to AI, networking, or cloud technologies. This shows your commitment to staying updated in a fast-evolving field, which is essential for the Future Network Technologist role.
How to prepare for a job interview at Digital Catapult
✨Showcase Your AI & ML Expertise
Be prepared to discuss your hands-on experience with machine learning and large language models. Highlight specific projects where you've deployed or fine-tuned LLMs, and be ready to explain the impact of your work on network observability.
✨Demonstrate Cloud & DevOps Skills
Familiarise yourself with Kubernetes, Docker, and cloud-native observability tools like Prometheus and Grafana. During the interview, share examples of how you've used these technologies in past roles to solve real-world problems.
✨Communicate Complex Ideas Simply
Since collaboration is key in this role, practice explaining complex networking concepts in a straightforward manner. Use analogies or simple terms to ensure clarity, especially when discussing advanced connectivity technologies.
✨Prepare for Technical Questions
Expect technical questions related to networking protocols and AI-driven automation. Brush up on your knowledge of TCP/IP, HTTP, and service meshes, and be ready to discuss how these relate to the role of a Future Network Technologist.
