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Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
As a Territory Manager at Halter, you'll drive business growth by executing sales strategies, building customer relationships, and managing a large territory. You'll focus on customer success and collaborate with cross-functional teams while engaging with the beef industry to optimize the deployment of Halter's technology for farmers.
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
The Territory Manager is responsible for executing sales strategies, building customer relationships, and driving business growth in a designated area while focusing on customer success and satisfaction.
Greentech • Hardware • Internet of Things • Machine Learning • Software • Business Intelligence • Agriculture
The Territory Manager will drive business growth, manage customer relationships, and execute sales strategies within the Bay of Plenty, focusing on customer success and value for farmers.
At Numrah, we build intelligent, modern applications that combine cutting-edge engineering with practical machine learning. We're looking for a Machine Learning Engineer who is deeply grounded in ML theory and excited to Design and implement ML solutions from ideation to production Fine-tune and integrate LLMs Deploy and monitor LLM-powered features at scale in real-world products Collaborate with engineers and product teams to build intelligent, user-facing features Write clean, scalable code and detailed technical documentation Stay current with the latest in ML research, LLM capabilities, and MLOps best practices
What You’ll Do
- Design and implement ML solutions from ideation to production
- Fine-tune and integrate LLMs
- Deploy and monitor LLM-powered features at scale in real-world products
- Collaborate with engineers and product teams to build intelligent, user-facing features
- Write clean, scalable code and detailed technical documentation
- Stay current with the latest in ML research, LLM capabilities, and MLOps best practices
Must-Haves
- Be an Arabic speaker
- Have at least 1-2 year of non-internship experience in Machine Learning
- Strong ML and DL theory background, you don't just use things, you know how they are working under the hood.
- Production experience training and fine-tuning LLMs, with practical knowledge of transformer architectures in NLP applications.
- Experience with MLOps best practices.
- Collaborative mindset and ability to communicate technical ideas clearly
Nice-to-Have
- Experience deploying LLM-based features to production
- Knowledge of parameter-efficient fine-tuning (LoRA, QLoRA, PEFT)
- Familiarity with RAG pipelines and vector databases (e.g., Pinecone, Weaviate)
- Understanding of model serving and inference optimization (quantization, batching)
- Exposure to MLOps practices (monitoring, versioning, CI/CD for ML)
- Experience with RESTful APIs, Docker, and cloud platforms (GCP, AWS, or Azure)
- Interest in NLP applications, smart assistants, or chatbot systems
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London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
