. Proficiency in programming languages such as Python, SQL, and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Experience with LLM application design and deployment. Strong software engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools More ❯
role you will You'll have the opportunity to work on a mixture of the following: Generative AI Design and develop RAG based applications. LLM fine-tuning, including preparation of training sets from internal data Agent based applications Evaluating use-case specific LLMs AI/ML NLP: Named Entity Recognition More ❯
someone who loves creating scalable, production-ready systems You balance technical excellence with pragmatic delivery You're excited about pushing boundaries in GenAI and LLM technologies You can communicate complex concepts effectively to diverse stakeholders You enjoy mentoring junior team members and elevating the entire technical organization What Makes This More ❯
someone who loves creating scalable, production-ready systems You balance technical excellence with pragmatic delivery You're excited about pushing boundaries in GenAI and LLM technologies You can communicate complex concepts effectively to diverse stakeholders You enjoy mentoring junior team members and elevating the entire technical organization What Makes This More ❯
as well as hands-on practical experience in accelerating training jobs Understanding of ML model deployment strategies, including agent systems as well as scalable LLMmodel inference systems deployed in multi-GPU, multi-node environments. Deep expertise in modern software development tools/ways of working (e.g. git/GitHub More ❯
building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure, GCP) with their AI More ❯
NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM fine-tuning . Experience deploying AI applications on Azure (e.g., Azure ML, Azure Functions, Azure DevOps). Proficiency in Streamlit for building interactive AI applications. More ❯
NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM fine-tuning . Experience deploying AI applications on Azure (e.g., Azure ML, Azure Functions, Azure DevOps). Proficiency in Streamlit for building interactive AI applications. More ❯
evolve our software architecture as we productize new AI-powered capabilities. Evaluate the performance of AI models & systems through rigorous testing and experimentation. Deploy LLM-based applications in production, evaluating and improving their performance over time. Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production More ❯
that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including More ❯
that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including More ❯
utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and More ❯
negotiation skills with the ability to build and maintain C-level client relationships - Experience building data or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala More ❯
and high standards Ensure that the LLMs and pipelines based on LLMs are tuned and released Apply, learn, and explore strategies to enhance current LLM serving and teaching while enhancing model quality Create and implement LLMs for various content creation jobs Share your findings, insights, and accomplishments with other modelers More ❯
East London, London, United Kingdom Hybrid / WFH Options
McGregor Boyall Associates Limited
field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop More ❯
Recommendations, or Personalization systems. Proven track record of designing and developing scalable and reliable machine learning systems. Strong expertise in ML/DL/LLM algorithms, model architectures, and training techniques. Proficiency in programming languages such as Python, SQL, Spark, PySpark, TensorFlow, or equivalent analytical/model-building tools. Familiarity More ❯
Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which More ❯
are willing to roll up their sleeves and participate in designing, coding, conducting experiments, and translating findings into concrete deliverables. Our focus areas are: LLM Training (Continued Pretraining, Instruction Tuning, Reinforcement Learning Alignment, Distributed Training, Efficient ML techniques) Post-training techniques for planning & reasoning (e.g. LLMs & Knowledge Graphs, Advanced Prompting More ❯
Tackle the biggest challenge in AI – Be part of the mission to bend the curve on compute costs, energy waste, and emissions in the LLM arms race. Our optimiser is redefining how the world trains and serves large models. 🧠 Work on the frontier – You’ll engineer the infrastructure behind cutting More ❯
Tackle the biggest challenge in AI – Be part of the mission to bend the curve on compute costs, energy waste, and emissions in the LLM arms race. Our optimiser is redefining how the world trains and serves large models. 🧠 Work on the frontier – You’ll engineer the infrastructure behind cutting More ❯
Why Join Us? Tackle the biggest challenge in AI - Be part of the mission to reduce compute costs, energy waste, and emissions in the LLM arms race. Our optimiser is redefining how large models are trained and served. Work on the frontier - Engineer the infrastructure behind cutting-edge AI systems More ❯
is an international company that requires a senior Data Scientist with experience in Azure Databricks, Knowledge Graph, Neo4J Graph Database, and RAG pipelines for LLM to join the team. Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to manage and analyse More ❯
software engineering background and experience in deploying AI-based solutions. Key Responsibilities Technical Responsibilities : Design and develop backend systems that integrate healthcare AI/LLM modules for tasks such as data extraction, summarization or decision support. Design and implement systems that integrate with the client side such as Web UI More ❯
card issuing). GenAI Hands-on experience: Developed and deployed GenAI use cases with proven value from end to end.Developed tools with open source LLM models (e.g., Deepseek, Liama). Thought Leadership: Demonstrated history of publishing, speaking at conferences, or driving innovative AI solutions in a recognized industry setting. Communication More ❯
