City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
encourages experimentation and autonomy, backed by global infrastructure and top-tier clients. The Role You’ll be embedded in a high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment, all while interfacing with … classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What You’ll Bring Strong hands-on data science and ML … and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks & Benefits Competitive base salary, up to More ❯
Stack includes: Backend: Spring & Spring Boot, Java, Python, FastAPI Frontend: Vue.js Cloud: AWS Databases: Elasticsearch & Postgres And more... This role offers exciting opportunities to dive into various areas, including NaturalLanguageProcessing, Random Forest and Monte Carlo Simulations, Classification, Big Data ETL Pipelines, High Volume Event Processing, Predictive Analysis, CI/CD Cloud Ops, Mentoring, UX 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 naturallanguageprocessing, 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 ❯
/React Native Up to £65k + Bonus + Equity London, UK (Hybrid 3 days a week in office) An award-winning AI company at the cutting edge of naturallanguageprocessing and data visualisation is looking for a Front-End Developer to join their growing team. This business works on complex knowledge aggregation and insight discovery More ❯
the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to More ❯
Banking/Financial Domain experience in recent years is a must. Your expertise Proficient in statistical data analysis , machine learning , and NLP , with a clear understanding of practical applications and limitations. Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. Skilled in complete project delivery , from data preparation to model building, evaluation, and visualization. Proficient More ❯
. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯
Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯
. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders to translate business challenges into data-driven solutions Reporting back and presenting to non-technical More ❯
AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable More ❯
legal sector, and make informed recommendations on their adoption. CANDIDATE PROFILE//Candidates for this position must have: In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience with data science, data and solution architecture, machine learning, generative AI, and other AI-related More ❯
frontend engineers, data scientists, platform engineers, and external partners. What You'll Do * Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling * Develop pipelines for transcription ingestion and real-time analytical insight generation * Support graph and RAG-based inference layers using data from structured and unstructured sources * Build and expose … APIs for frontend consumption, enabling natural-language querying, dynamic visualisation, and reporting * Ensure system portability via containerisation * Collaborate closely with data scientists to integrate self-hosted LLMs and analysis models into the backend infrastructure * Work with platform engineers to tune deployments for hardware-limited environments What You Bring * Strong experience building secure, scalable backend systems in Python and More ❯
and they need backend engineering specialists who thrive in complexity. This is a unique opportunity to build adaptable, containerised backend systems to support real-time inference, transcription pipelines, and natural-language interaction layers, enabling operational decisions in demanding environments. What You’ll Be Doing: Architecting and implementing secure backend services to support AI deployments in classified settings Developing … and real-time insight generation capabilities Supporting graph and RAG-based inference pipelines using structured and unstructured data Exposing robust APIs for frontend engineers to deliver interactive dashboards and NLP-driven workflows Ensuring system portability via containerisation (Kubernetes, Docker) Collaborating closely with data scientists to integrate self-hosted LLMs and analysis models Working with platform engineers to optimise performance in More ❯
agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like SQL, Spark, and Databricks. Apply … clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial … Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register your interest by sending your CV to More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Kantar Media
Integrating large and diverse datasets from panels, census-level sources, digital platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong … science or analytics). Bonus: experience in at least one of the following areas: Working with Marketing Mix Models (MMMs) Practical applications of Large Language Models (LLMs) or NLP Understanding of web technologies and identifiers (e.g. cookies, device IDs, MAIDs, etc.) Our offer At Kantar we have an integrated way of rewarding our people based around a simple, clear More ❯
high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of … services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure More ❯
CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate the core skills for the role, although … in building, deploying, and maintaining ML models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software More ❯
drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with proven experience working with stakeholders More ❯
Data Scientist | Data & AI Consultancy | £60k-£80k DOE | Central London/Hybrid We are working on an exciting opportunity with a specialist data consultancy; they are looking for a Data Scientist to join their expanding team. The Company This consultancy More ❯
either a technical lead, or more of a people manager. RESPONSIBILITIES: Lead the end-to-end design, development, and implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists … and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If More ❯