1 to 25 of 34 Contract Natural Language Processing Jobs in the UK

Experience: Proficient experience in Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience with natural language processing, deep learning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers More ❯

Experience: Proficient experience in Python Strong software engineering skills with a focus on building production-ready systems Experience of deploying & monitoring such systems in a cloud environment. Experience with natural language processing, deep learning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers More ❯

ruthlessly where necessary Have a humble attitude and an eagerness to help others with empathy Passion for building products that augment human capabilities and improves citizens lives. Experience with natural language processing, deep learning and generative AI. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers More ❯

STATA or SAS) to interrogate, interpret and present complex data. Technical skills in data management, business intelligence and analytics - including data modelling, data visualisation. Expertise in the use of natural language processing and/or understanding for data mining applications. Desirable Specialist knowledge of NHS Datasets e.g., SUS, ECDS, SitReps, MHMDS etc. Can use segmentation and/ More ❯

in AI, including new models and paradigms. Proficiency in Python. An understanding of deploying and monitoring such systems in a cloud environment. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI. Nive to have: Building More ❯

solution across the business units. Key Responsibilities: * Proven experience of Chat Bot Development using below listed technologies (Mandatory) * Python, PyCharm, Numpy, Pandas * Experience with ML, deep learning, TensorFlow, Python, NLP * MySQL, PostgreSQL, NoSQL, RDBMS Design and modelling * GitHub, Jenkins * Data Modelling, Data Wrangling and Extraction Key Skills & Experience: * Bachelor's degree or higher in computer science, engineering or related field. More ❯

Prototype, test, and optimize AI applications. Stay current with open-source AI/ML frameworks. Communicate AI capabilities and set realistic expectations. Essential Skills & Experience Strong expertise in GenAI, NLP, and ML. Hands-on experience with LLMs/SLMs, Python, Java, SQL/NoSQL. API development, web scraping, data integration. On-prem AI model deployment, open-source frameworks (e.g. Hugging More ❯

RAG systems to enable context-aware document retrieval from internal HR/legal databases. Required Skills & Experience: Solid exposure in AI/ML engineering, with a strong focus on NLP and LLMs. Proven hands-on knowledge with: LangChain, AutoGen, LangGraph and RAG Strong proficiency in Python and experience with frameworks like PyTorch or TensorFlow. Experience working with vector databases (e.g. More ❯

functional teams to define AI strategy, roadmap, and adoption plan. Prototype, test, and optimize AI applications, ensuring continuous performance improvement. Essential Skills: 5 + years commercial experience in GenAI, NLP, and Machine Learning. Proven experience in creating, training, and fine-tuning LLMs/SLMs. 5+ years hands-on skills Python development skills. Integrating with SQL/NoSQL databases. Experience with More ❯

in the artificial intelligence and machine learning domain . The role will focus on building, testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You will work closely with engineers and technical leads to design experiments, refine prompts, and ensure robust system performance. Responsibilities: Develop and refine test prompts to More ❯

value. Location: London (3 days onsite) Contract: 6 Months (extension very likely) Rate: £400-450 (IIR35) Start date: ASAP What you'll do: Build and deploy AI models (LLMs, NLP, image recognition, predictive analytics) into business workflows. Prototype privacy-first solutions using techniques such as federated learning, differential privacy, and secure multi-party computation. Implement safeguards across the ML lifecycle More ❯

value. Location: London (3 days onsite) Contract: 6 Months (extension very likely) Rate: £400-450 (IIR35) Start date: ASAP What you'll do: Build and deploy AI models (LLMs, NLP, image recognition, predictive analytics) into business workflows. Prototype privacy-first solutions using techniques such as federated learning, differential privacy, and secure multi-party computation. Implement safeguards across the ML lifecycle More ❯

engineering Strong Python & SQL skills Experience with Google Cloud or similar Familiarity with unit testing , Git , and Agile Desirable: Experience with bioinformatics or scientific datasets Knowledge of Nextflow , Airflow , NLP , and Docker Exposure to AI/ML applications If the role aligns with your skills and experience, please apply with your updated CV More ❯

engineering Strong Python & SQL skills Experience with Google Cloud or similar Familiarity with unit testing , Git , and Agile Desirable: Experience with bioinformatics or scientific datasets Knowledge of Nextflow , Airflow , NLP , and Docker Exposure to AI/ML applications If the role aligns with your skills and experience, please apply with your updated CV More ❯

firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real-time or high-frequency environments Deep More ❯

and set realistic expectations To be considered for the AI Technical Consultant you will: · Proven experience in creating, training, and fine-tuning LLMs/SLMs · Strong expertise in GenAI, NLP, and Machine Learning · Have 3 years + experience in AI positions · Hold previous hands-on experience with Python, Java, SQL/NoSQL databases · Have experience with API development, web scraping More ❯

and full-stack integration, offering a unique opportunity to work at the intersection of innovation and impact. Key Responsibilities Define and implement safety metrics for generative AI systems, particularly language-based models. Conduct user research to identify risks, failure modes, and areas for improvement in AI applications. Integrate AI/ML components with frontend, backend, data pipelines, and compute … pipelines. Generate insights from GenAI datasets using machine learning and data analysis techniques. Qualifications Experience conducting user research in software development contexts. Solid understanding of generative AI and large language models. Proficiency in Python, including testing and development workflows. Familiarity with agile methodologies and … working in agile development environments. Strong grasp of modern software development tools and practices (e.g., Git/GitHub). Experience deploying AI/ML-powered applications, especially those involving NLP, language models, or agent-based frameworks (e.g., LangGraph, PydanticAI, AutoGen). Background in user research specific to AI applications. Knowledge of AI/ML evaluation techniques, including safety and More ❯

To be considered for the AI Engineer you will:· Have a degree or Master's degree · 1-2 years of experience within AI roles Have experience in Machine Learning, NLP, and GenAI Be proficient in Python and data libraries Maintain previous experience with SQL/NoSQL databases Have experience in API development/integrationAbility to analyze model performance In return 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 ❯

algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We More ❯

including 1-2 years in AI/ML) to design, build, and optimize intelligent solutions. This role offers the opportunity to work on cutting-edge projects, applying machine learning, NLP, and generative AI to real-world business problems. Key Responsibilities Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering). Design and implement … AI-powered applications, integrating with APIs, SQL/NoSQL databases, and Python-based solutions. Prototype and test AI applications, optimizing performance and scalability. Apply backend/data processing skills to handle structured and unstructured datasets. Stay current with open-source AI/ML … frameworks (e.g., Hugging Face, LangChain) and apply them to business needs. Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM). Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with SQL/NoSQL databases, APIs, and data integration. Exposure to on More ❯

contract is 6 months . The pay rate on offer is £750 - £880 per day (via Umbrella - inside IR35) . Key skills: Python, generative AI, language models/NLP, AI ML, front end development Summary Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested software in the AI/ML industry. … We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic. Key responsibilities Define and implement key safety metrics for … ways of working (e.g. git/GitHub) Preferred qualifications: Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen) Prior experience conducting user research for AI applications Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations More ❯

to achieve the objectives Key Requirements Essential: Proven experience of Chat Bot development using below listed technologies (Mandatory) Python, PyCharm, Numpy, Pandas Experience with ML, deep learning, TensorFlow, Python, NLP MySQL, PostgreSQL, NoSQL, RDBMS design and modelling GitHub, Jenkins Data modelling, Data wrangling and extraction Experience in developing classification algorithms and data preparation Must have experience in either one or … more of the expertise areas like Image processing, text extraction, clustering, classification and embedding models Must have experience on developing Drift detection and Model monitoring implementation, good to have experience with AgentEvals for Large Language Models Desirable: Bachelor's degree or higher in computer science, engineering or related field 5-7 years of experience in architecting, positioning and More ❯

Design functional processes, flows, and support procedures - Lead prototyping, testing, and training phases - Conduct AI assessments and propose optimised solutions - Develop classification algorithms and prepare datasets - Work with image processing, text extraction, clustering, embedding models - Implement drift … detection, model monitoring (AgentEvals experience a plus) - Document architecture and insights across projects Essential Skills & Experience: - Proven experience developing Chat Bots using: - Python, PyCharm, NumPy, Pandas - ML, deep learning, NLP, TensorFlow - SQL/NoSQL (MySQL, PostgreSQL), RDBMS design - GitHub, Jenkins, data modelling/wrangling - Experience in supervised/unsupervised learning, classification algorithms - Hands-on with model training, drift detection, and 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 ❯