126 to 150 of 428 Machine Learning Jobs in London

Recruitment Consultant This is your opportunity to join a highly respected, global consultancy dedicated exclusively to connecting top talent with roles across Data Science, Machine Learning, Data Engineering, Digital Analytics, Risk, AI and more. Were looking for ambitious, driven graduates to join our trainee recruitment consultant programme. … candidates understanding hiring needs and matching top talent to exciting data roles. Develop expertise in a chosen niche (e.g., Data Science, Digital Analytics, Machine Learning, Risk, etc.). Manage the full recruitment process: sourcing, interviewing, candidate preparation, offer handling and post-placement support. Conduct market research to understand ...

experienced technical support professional to join a market-leading, disruptive software company in London as a Technical Product Support Engineer. Specialising in cutting-edge machine learning technology, this rapidly growing organisation offers excellent training, career progression, and long-term prospects. Youll have the chance to work alongside some … client-facing technical role (opposed to taking the R&D route) Responsibilities for Technical Support Engineer: You will initially be fully trained on the machine learning platform to understand the intricacies of the product You will then act as the main point of contact and liaise with customers ...

these AI solutions to ensure they meet user needs and drive meaningful impact in both healthcare and accessibility domains. Responsibilities: Develop and optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR … implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions for our products, leveraging multi-modal AI (text, image, audio). Adhere to data privacy regulations (GDPR, MDR, HIPPA, EHDS ...

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full … experience (internship) in data science, insurance or climate modelling. SKILLS Keen interest in climate related topics; Highly skilled in statistics, probabilities, applied mathematics and machine learning methods; Eye for quality and attention to detail; Fluency in English (written and verbal communication) is required; Proficiency in Python (e.g. pandas ...

PyTorch, Data Handling , Large Language Model (LLM), GitHub, Linux CLI, Docker and Kubernetes. Any additional knowledge of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) is highly desirable. Working with our UK Central Government client you will be part of a brand-new project ...

PyTorch, Data Handling , Large Language Model (LLM), GitHub, Linux CLI, Docker and Kubernetes. Any additional knowledge of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) is highly desirable. Working with our UK Central Government client you will be part of a brand-new project focusing ...

technical specialists Support governance, risk management, and assurance activities related to data protection Where applicable, advise on data protection considerations for AI and machine learning systems Essential Experience Proven experience in a Data Protection Lead/Senior Data Protection role Strong hands-on experience with DPIAs in complex … engage confidently with both technical and non-technical stakeholders Desirable Experience Experience working within Central Government or wider public sector Exposure to AI, machine learning, or advanced analytics systems, including associated privacy and ethical considerations Experience supporting large-scale digital transformation programmes Additional Information Contract deemed Inside IR35 ...

production-grade code to manage and execute orders across multiple MFT strategies and multiple exchanges in equities, crypto, and futures. Work with quant and machine learning researchers to continuously refine and improve data pipelines and execution algorithms. Provide an extra pair of hands for various other SE/… Build, maintain, and develop robust and optimized production-grade code. Manage and execute orders across multiple MFT strategies and exchanges. Collaborate with quant and machine learning researchers. Refine and improve data pipelines and execution algorithms. Support various SE/QD workloads. Qualifications Experience developing live execution systems across ...

open AI Technical Expertise: •Proven experience in data science leadership roles with team management. •Strong expertise in Azure Machine Learning, Python, and ML frameworks (TensorFlow, PyTorch, Scikit-learn). •Hands-on experience with MLOps, CI/CD pipelines, and model monitoring. •Knowledge of cloud architecture, data engineering … security best practices. •Design and implement ML pipelines on Azure Machine Learning. •Own end-to-end model lifecycle: data ingestion, feature engineering, training, deployment, and monitoring. •Excellent communication and stakeholder management skills Key Responsibilities: •Team Leadership & Management •Manage and mentor a team of data scientists and ML engineers. •Allocate ...

Utilize Natural Language Processing (NLP) and Large Language Models (LLMs) for text analysis, sentiment analysis, and generative AI applications. Build and maintain production-grade ML pipelines using CI/CD, MLOps, and cloud platforms (Azure, AWS, GCP). Conduct A/B testing and randomized control trials to validate model … lifecycle. Required Skills & Qualifications: Strong proficiency in Python, SQL , and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch . Hands-on experience with ML algorithms and deep learning architectures. Expertise in NLP techniques and frameworks, familiarity with LLM fine-tuning and deployment. Knowledge of big data technologies ...

contact for AI and data science expertise, sharing knowledge across meetings, bids and technical projects. Leading and working on technical AI projects, working with ML engineers, project managers and non-technical customers. Meeting with users to help scope out ongoing and future AI projects, understanding use-cases and planning … delivery plans which capture the subtleties of the requirements. Working alongside ML engineers to help build and deploy models into products across our AWS cloud services Assisting with writing bid responses to customer problems, often requiring diving into the literature surrounding complex technical concepts in AI, ML and statistics. Presenting ...

learning solutions with real-world impact. You will work on diverse projects across national security and healthcare-related sectors, applying AI/ML techniques to solve complex challenges. This is a London-based role with hybrid working support. Key Responsibilities: Lead and contribute to AI and ML projects … working closely with engineers, project managers, and non-technical stakeholders. Act as a technical point of contact, sharing expertise in AI/ML methods across projects and bids. Scope, plan, and deliver AI solutions, including model development, deployment, and evaluation. Mentor junior team members and support their professional growth. Present ...

This is a rare opportunity to blend ML, AI, and real business impact. You'll be joining a high growth, cloud-native technology company that has recently completed a major late stage funding round and on their way to an IPO in the near future! This role offers the best … leader, combined with the autonomy, ownership, and speed typically found in a startup environment. As the first hire in a newly formed AI/ML team in London, you'll play a foundational role in setting technical direction, defining best practices, and embedding AI across the organisation ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

rare opportunity to apply cutting-edge data science in a highly innovative, collaborative, and impactful environment. Key responsibilities: Lead and contribute to AI and ML projects across diverse data types (text, images, audio, video, graphs, geo-location). Engage with stakeholders to scope projects, understand use cases, and plan technically … robust delivery strategies. Collaborate with ML engineers to build, deploy, and maintain models using cloud services (AWS). Conduct research, literature reviews, and provide technical guidance to shape solutions. Present complex technical concepts to both technical and non-technical audiences. Mentor junior team members and support the broader team ...

Engineering roles. Domain Expertise: Strong experience in capital markets, front-office systems, or financial services (essential) Proven track record of delivering AI/ML solutions in production environments, or demonstrable experience building AI tools inside or outside of work setting. Education: Relevant Software Engineering/Computer Science degree. Technical Skills … Programming Languages: Python, Java, C++, C#, TypeScript, JavaScript Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes Cloud & Infrastructure: AWS, Azure ...

small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education - solving the ultimate learning ...

permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with … tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please ...

technologies, libraries, and tools where appropriate. AI & Automation: Integrate AI and machine-learning powered features into backend systems. Collaborate with AI/ML specialists to deploy and maintain intelligent services. Stay up to date with emerging AI trends and identify opportunities for automation and optimisation. Qualifications 5+ years … . Strong understanding of cloud platforms (AWS, Azure, or GCP). Experience mentoring junior developers or leading small development teams. Familiarity with AI/ML frameworks, data pipelines, or integrating large language models/APIs. Strong problem-solving skills and the ability to translate complex requirements into scalable solutions. Excellent ...

Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines Data Integration: Products integrating ML/AI models, databases, BI tools UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys Other: Version control (Git/GitHub), testing frameworks … facing products Proven experience in rapid prototyping, innovation labs, or product R&D teams Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous) Prior startup or SME experience where engineers own end-to-end delivery ...

Replit, Bolt • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines • Data Integration: Products integrating ML/AI models, databases, BI tools • UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys • Other: Version control (Git/GitHub), testing frameworks … facing products • Proven experience in rapid prototyping, innovation labs, or product R&D teams • Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning • Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous) • Prior startup or SME experience where engineers own end-to-end delivery ...

organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines. Build LLM apps using LangGraph/LangChain: tools/function calling, structured outputs (JSON Schema), agents, and multi-step reasoning. Implement … . Choose customization paths pragmatically: prompt engineering, system prompts, tools, adapters/LoRA, and selective fine-tuning only when needed. Fine-tune and optimise ML models and LLMs to enhance performance, efficiency, and relevance for Chambers’ research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment ...

GenAI technologies, including LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying ...

cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques … regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson ...