15 of 15 Contract Natural Language Processing Jobs

pushing the boundaries of artificial intelligence? Do you thrive on solving complex challenges and developing cutting-edge solutions. We are seeking a talented Natural Language Processing (NLP) Engineer to join a AI Research Team and contribute to ground-breaking innovations in AI. What You’ll Do: Conduct cutting-edge research to tackle real-world AI challenges. Develop … the global research community Who You Are: A PhD holder in ML/AI, Computer Science/Engineering, or a related field. A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. Hands-on experience in one or more of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/ More ❯

a story and provide the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that More ❯

a story and provide the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that More ❯

. Excellent problem-solving and communication skills. Nice to Have Experience with MLOps tools and practices. Knowledge of data engineering and ETL pipelines. Exposure to deep learning frameworks and NLP techniques. IND_PC3 Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

integrations. Experience across different database architectures (Lakehouse, Relational, Document Store). Familiarity with observability tools, BI platforms (Power BI), or Agile methods. Knowledge of advanced analytics, data science, or NLP techniques. Soft Skills Strong stakeholder management and communication skills, able to bridge technical and non-technical conversations. Excellent problem-solving, attention to detail, and documentation skills. Proven leadership with the More ❯

Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. Proficiency in Python and familiarity with tools like LangChain, PromptLayer, or More ❯

product development, ideally in regulated industries. Sector Knowledge: Financial services, consulting, or technology background with a focus on transformation. Technical Understanding: Familiarity with AI/ML technologies (generative AI, NLP, MLOps, data governance). Business Acumen: Ability to identify high-impact AI use cases aligned to business strategy. Governance Awareness: Strong understanding of risk, compliance, and model governance in a More ❯

with large datasets, building predictive models, and implementing intelligent automation systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative AI frameworks where applicable. Develop data pipelines and integrate models into production systems. Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure … scalability, performance, and ethical AI practices. Required Skills & Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and analytical skills. Knowledge of big data tools (Spark, Hadoop More ❯

seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and … Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and … Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

architecture. Backend development experience using FastAPI. Exposure to biological or scientific data (e.g. genomics, proteomics) or pharmaceutical industry is nice to have. Understanding of AI/ML techniques, especially NLP and language models. Experience with Kubernetes and Google Kubernetes Engine. Some frontend development experience (e.g. React). Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an More ❯

Git/GitHub and continuous deployment workflows. Preferred Skills Experience with Docker and multi-container application architecture. Backend development using FastAPI . Knowledge of AI/ML techniques , especially NLP and language models. Experience with Kubernetes and Google Kubernetes Engine (GKE) . Exposure to frontend development (e.g., React ) is a plus. Please apply with your updated CV if this More ❯

experience. Design, develop, test, and deploy enterprise applications using Microsoft technologies. Build secure fintech workflows aligned with compliance (GDPR, OAuth, encryption). Integrate and deploy AI/ML components (NLP and recommendation systems). Collaborate in an Agile (Scrum/Kanban) environment with technical and business teams. TECH STACK/REQUIREMENTS Strong experience with .NET, C#, Azure, Power Platform Proven … background building secure enterprise/banking systems AI/ML integration proficiency (NLP, recommendation systems) Compliance awareness Cloud deployment experience (Azure/AWS) - highly desirable Backend development using other languages such as Python, Java - highly desirable SQL/NoSQL database design & optimisation - desirable DevOps (CI/CD pipelines, Docker, Kubernetes) - desirable TO BE CONSIDERED... Please apply directly by emailing with More ❯

for a skilled iOS Developer to build and deploy AI-powered fintech mobile apps. You will work on secure, high-quality solutions while integrating machine learning features such as NLP and recommendation systems. THE ROLE Develop and deploy iOS apps (Swift/Objective-C, iOS SDK, App Store). Integrate RESTful APIs and backend services into iOS applications. Embed AI …/ML features (NLP, recommendation engines) into mobile workflows. Deliver compliant and secure fintech solutions (GDPR, OAuth, encryption). TECH STACK/REQUIREMENTS Experience managing projects end-to-end (greenfield exp.) Strong expertise in iOS development (Swift/Objective-C, iOS SDK, App Store deployment) Track record delivering secure mobile applications (fintech preferred) Experience integrating AI/ML components into More ❯

for a skilled iOS Developer to build and deploy AI-powered fintech mobile apps. You will work on secure, high-quality solutions while integrating machine learning features such as NLP and recommendation systems. THE ROLE Develop and deploy iOS apps (Swift/Objective-C, iOS SDK, App Store). Integrate RESTful APIs and backend services into iOS applications. Embed AI …/ML features (NLP, recommendation engines) into mobile workflows. Deliver compliant and secure fintech solutions (GDPR, OAuth, encryption). TECH STACK/REQUIREMENTS Experience managing projects end-to-end (greenfield exp.) Strong expertise in iOS development (Swift/Objective-C, iOS SDK, App Store deployment) Track record delivering secure mobile applications (fintech preferred) Experience integrating AI/ML components into More ❯