Chelmsford, Essex, United Kingdom Hybrid / WFH Options
NLP PEOPLE
Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential data and decision making. You will have the opportunity to deliver a … teams working across AI/ML areas such as RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, autonomy, image analysis and computer vision, generative AI, NLP, knowledge graphs and more. You will work with these colleagues in multi-disciplinary teams. Typical Responsibilities Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, proposals … Project Management teams that design and implement defence solutions and digital transformation projects. Company BAE Systems Experience and Education Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
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 ❯
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 ❯
for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real … working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science/Operations Research/Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce More ❯
with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. Perks of Working at Viator Competitive 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 ❯
Sheffield, Yorkshire, United Kingdom Hybrid / WFH Options
Project Recruit
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 ❯
cloud platforms (e.g., AWS, Azure, or GCP). Bonus qualifications Experience with graph databases such as Neo4j, Pinecone or Milvus or similar. Experience building native desktop apps. Experience with NLP libraries and frameworks, such as spaCy or Transformers. Familiarity with machine learning concepts and the ability to work with NLP datasets. What you'll be doing Work with a groundbreaking More ❯
training for performance and cost efficiency. Incorporate recent trends like instruction tuning, RLHF, or LoRA fine-tuning for domain customization. Embed domain-specific ontologies, taxonomies, and style guides into NLP workflows to adapt models to unique business contexts. Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes. Define and own … Claude, Gemini, Llama, Falcon, Mistral). Model Performance and Optimization: Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability and cost-effective performance. Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (Docker, Kubernetes) and workflow management tools (Azure ML Studio … MLFlow). Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Processing and knowledge extraction tools. Databases: Experience with relational (SQL), NoSQL databases. Data Platforms: Familiarity with platforms like Snowflake or Databricks. WHAT DEFINES US: CURIOSITY, OPTIMISM, AMBITION, EMPATHY Our team at Ramboll Tech is currently on a More ❯
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 … equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of generative AI, specifically Large Language Models. Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub … e.g. defining guardrails, red teaming or persona-based evaluations. 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), Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience More ❯
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 … equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of generative AI, specifically Large Language Models. Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub … e.g. defining guardrails, red teaming or persona-based evaluations. 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), Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience 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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Salt Search
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 ❯
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
and Java). Develop new innovative solutions for enhancing scientific data workflows and support our mission to disseminate scientific information publicly Manage and enhance scientific software tools essential for processing and storing chemical and biological data across the teams services, ensuring adherence to software development best practices. Collaborate with the ChEMBL, SureChEMBL and ChEBI teams to identify and resolve … in Chemistry, Computer Science, Bioinformatics, Data Science, or a related field. Experience in cheminformatics or data engineering applied to life sciences Track record of delivered projects involving scientific data processing Proficiency in Python, with experience in cheminformatics libraries and topics (such as RDKit, Open Babel, InChI, SMILES/SMARTS) Experience working with relational (SQL) databases Familiarity working in a … containerization technologies (Docker) Basic understanding of Java, with a willingness to develop expertise and contribute to Java-based pipelines as needed Experience in using AI-based methods, such as NLP, LLM for efficient data processing Other helpful information: Hybrid Working - At EMBL-EBI we are pleased to offer hybrid working options for all our employees. A dedicated desk will More ❯
month contract on a hybrid basis based near Stratford, London. Main Accountabilities: Design and implementation of tooling and technologies to support Machine Learning and the use of Large Language Models Take ownership of the design, deployment, and maintenance of machine learning models Recommend, implement, and use tooling to improve the development, operations, and observability of machine learning models, large … language models, and AI-related services Essential skills: Previous experience working on online Chat or Chatbors, particular voice, is a must-have. Strong recent hands-on capabilities in Python are a must-have. Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and SQL alchemy is a must. Srong's understanding of deploying and … and its applications is a must-have Desireable : Any of Terraform, Helm, Kubernetes, Postgres would be advantageous. Qualifications or demonstrable experience in Data Science and Machine Learning including algorithms, NLP, XAI. A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models. The two-stage remote interview process with the capacity to start ASAP. More ❯
in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of … statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯
in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of … statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯
using FastAPI framework and how different it is from Flask? Data engineering What are best practices in pre-processing textual content during ingestion phase? Any experience of using NLP algorithms for pre-processing raw text content? Docker/Kubernetes What are few proven docker images inspection methods? Any experience of popular known deployment methods on k8s cluster? Gitops More ❯
Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯
Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯
Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯
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 … large team. Our leaders will be committed to your career and development from day one. Key Responsibilities Define and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high … 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 More ❯
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 … large team. Our leaders will be committed to your career and development from day one. Key Responsibilities Define and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high … 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 More ❯
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 … large team. Our leaders will be committed to your career and development from day one. Key Responsibilities Define and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high … 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 More ❯