on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous More ❯
on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous More ❯
touch for a conversation. I hope to hear from you soon! Keywords: Python Developer, Python Software Engineer, Software developer, Software Engineer, Python, AI, ML, LLM, Leeds, Yorkshire, Tech start-up. More ❯
Leeds / Work from home, West Yorkshire, United Kingdom Hybrid / WFH Options
hireful
touch for a conversation. I hope to hear from you soon! Keywords: Python Developer, Python Software Engineer, Software developer, Software Engineer, Python, AI, ML, LLM, Leeds, Yorkshire, Tech start-up. More ❯
Employment Type: Permanent
Salary: £40000 - £50000/annum Up to £50K Basic + Bonus + Bens
s internal AI platforms. Integrate the chatbot with existing financial systems and databases to deliver real-time, accurate insights. Experience: Hands-on development of LLM-based applications (OpenAI, Anthropic, Hugging Face, etc.). Strong Python programming skills, including libraries like pandas , numpy , and experience with data pipelines. Domain experience in More ❯
ambitious data team delivering data engineering and innovative data solutions. Projects we work on include Microsoft Fabric data pipeline implementation, advanced analytics, location analytics, LLM agent management and many other projects spanning data engineering, data science and data analytics. GAIL’s delivers craft baking at scale, striving for sustainable ways More ❯
ambitious data team delivering data engineering and innovative data solutions. Projects we work on include Microsoft Fabric data pipeline implementation, advanced analytics, location analytics, LLM agent management and many other projects spanning data engineering, data science and data analytics. GAIL’s delivers craft baking at scale, striving for sustainable ways More ❯
proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform ). Good knowledge of cloud ecosystems and understanding of the challenges of deploying LLM in multiple environments (public cloud, private cloud, on-premises). Autonomous and self-starter profile. Ability to communicate with influence. More ❯
challenges The latest technology solutions from industry and academia and how to apply them to solve real world customer problems As a Full Stack LLM Development Specialist, you will: Design and build use-case and platform technology solutions to solve key business challenges using reference and cutting-edge technologies and More ❯
learn and evangelize new technologies. Preferred Qualifications Understanding of AWS services (e.g., ECS, Cloudwatch, EC2, S3, etc). Experience building and integrating AI and LLM technologies. Sobre The Walt Disney Company: Disability Accommodation for Employment Applications The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and More ❯
ideally in a technical field such as computer science or engineering). PREFERRED QUALIFICATIONS - MBA or other relevant advanced degree. - Experience with Generative AI, LLM and ML models - Proven track record of defining and building highly trusted brands visible to millions of customers in an eCommerce environment. Our inclusive culture More ❯
t improve it. Data-driven decision-making is central to Eloquent AI. We continuously evaluate performance, gather insights, and iterate. Our agent architecture and LLM models evolve through rigorous evaluations, ensuring they remain reliable, adaptable, and effective across research, engineering, and customer applications. Own the Outcome Eloquent AI fosters a More ❯
frontend technology stacks: We use the latest Ruby on Rails, Turbo, Phlex, AlpineJS, TailwindCSS, AWS, PostgresSQL to name a few technologies. OpenAI & Claude for LLM interfacing. We are not wedded to them and will rapidly evolve over the next 3-6 months with the right technologies. Has worked in complex More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
Aveni UK
company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and LargeLanguageModel (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We … experimentation, rapid prototyping, and iterative development of AI-driven solutions. Requirements Extensive experience in software engineering, including leading AI/ML initiatives. Expertise in LLM-driven architectures, prompt engineering, and fine-tuning. Strong hands-on experience with AI frameworks like LangChain, OpenAI APIs, and Hugging Face. Deep understanding of multi More ❯
You will need to login before you can apply for a job. DESCRIPTION We have an exciting position within Alexa for an Applied Scientist with a strong background in NLP and LargeLanguage Models to help us develop state-of More ❯
Summary Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact More ❯
models across a robust AWS-based infrastructure 🧰 Collaborate across teams to maintain and enhance ML pipelines, services, and data ingestion systems 📊 Evaluate and improve LLM output quality, integrate models with backend services 🔧 Work on everything from data crawling to ML infra to production model serving 🤝 Partner with engineers to bring More ❯
a hands-on role where you'll help design and build the infrastructure behind scalable machine learning systems. You’ll work on workflow automation, LLM deployment and fine tuning, and support production-grade model inference. The team is moving fast, and the company is heading toward Series B – a good More ❯
a hands-on role where you'll help design and build the infrastructure behind scalable machine learning systems. You’ll work on workflow automation, LLM deployment and fine tuning, and support production-grade model inference. The team is moving fast, and the company is heading toward Series B – a good More ❯
to travel up to 25%, as needed to client sites, but flexible based on personal preferences. Nice to have skills/experiences: Experience improving LLM performance for custom domains via fine tuning or RLHF. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for More ❯
real user adoption. Experience in developing and fine-tuning Gen AI models, including prompt engineering, model fine tuning and deployment. Knowledge and use of LLM and statistical evaluation techniques such as G-Eval, Bleu, Perplexity and/or others for prompt and model optimisations. Comfortable working with databases (relational & vector More ❯
in trade operations to enabling real-time, AI-driven decision-making at scale. What You’ll Do Develop AI-Driven Intelligence – Build and deploy LLM-powered assistants, autonomous agents, and predictive models to elevate trade operations. Advance AI-Powered Trade Innovation – Design context-aware AI that enhances decision-making, automation More ❯
science required change dynamically depending on the vendor needs. In the past we have worked on initiatives drawing from multiple disciplines, including causal inference, LLM, forecasting, and optimization. A large fraction of the team consists of former academic researchers, and we maintain that culture through collaboration with universities, exchange programs More ❯
enthusiasm for creating and optimising digital media Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day More ❯