226 to 250 of 676 Machine Learning Jobs in London

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 ...

About Us At Neuraco, we're building the world's first robot learning cloud service ( https://www.neuracore.com/). Our platform eliminates the complexity of traditional robotics development by providing a complete end-to-end solution for data collection, model training, and deployment that works across different … robot types and configurations. Our multidisciplinary team is at the forefront of making robot learning accessible to organisations worldwide, from manufacturing and logistics to healthcare and research institutions. We're transforming how robotics teams develop, train, and deploy intelligent systems by providing cloud-native infrastructure that scales from small ...

. BUV has three main brand drivers: Offering accredited British and international higher education and training in Vietnam. Providing 5-star university campuses, learning spaces, and services. Including a Personal and Social Growth (PSG) Program that prepares students for the future of life and work. Established … after graduation. Students study at BUV’s award winning campus in the Ecopark township near Hanoi. With its state-of-the-art teaching and learning facilities and an iconic design, BUV is recognised as one of the best educational environments in Southeast Asia. POSITION REQUIREMENTS The position requires ...

breadth. Key Responsibilities Act as a hands‐on builder of AI‐powered products from idea to production. Combine software engineering, data engineering, and ML/LLM skills to deliver scalable solutions. Rapidly prototype, test, and iterate with real stakeholders and real data. Work closely with business teams to identify opportunities … define success criteria. Translate real operational problems into actionable AI solutions. Build models using classical ML (e.g., tree‐based methods, forecasting, uplift) as well as LLMs and generative AI. Develop predictive solutions such as churn, propensity, next‐best‐action, and lead scoring. Build APIs, services, and integrations enabling AI models ...

Role/Job Title: AI & ML Senior Engineer Work Location: London The JJ Mack Building, 33 Charterhouse St, EC1M 6HA Mode of Working: Hybrid If Hybrid, how many days are required in office?: Minimum 2 days in office The Role Were looking for an AI & ML Senior Engineer to join … growing ML Engineering team. Youll work alongside data scientists, engineers, and product managers to develop, deploy, and operate robust ML systems that power key services across our Digital and Retail platforms. This role focuses on ML Ops and ML Platform development, helping us to scale and maintain production-ready ML ...

Staff ML Engineer – AI/NLP/Search (London – Hybrid) £90,000 - £110,000 An industry-leading, AI-first technology platform in the intellectual property space is hiring a Staff-Level ML Engineer to lead all Data and NLP initiatives. This company was an early adopter of Large Language Models … building advanced, agentic AI workflows that autonomously answer complex research questions. The platform combines proprietary ML models with cutting-edge NLP techniques to deliver high-precision search and insights at scale. The Role As the technical lead for Data & NLP, you will: Own and improve search performance (precision & recall) Optimise ...

Glasgow_Bournemouth Delivery Unit project. This is an exciting opportunity to work with a global leader in financial services, delivering innovative AI/ML solutions to various prominent clients. Key Responsibilities: Formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes. Measuring and justifying … value of AI/ML-based solutions. Collaborating and managing the team to perform effectively and engaging with multiple teams. Providing solutions to problems for the immediate team and across multiple teams. Developing and integrating innovative AI/ML models that drive business insights and enhance decision-making processes. Conducting ...

guide other engineers, and set the technical direction for AI across large, high-impact systems. Key Responsibilities: Architect, design, and deliver scalable AI and machine learning solutions end-to-end. Remain hands-on in building complex AI components and solving model or system challenges. Lead, mentor, and technically … leading or mentoring engineering teams (6+ engineers). Strong foundations in OOP, system design, and engineering best practices. Hands-on knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with orchestration/integration frameworks such as LangChain or Semantic Kernel. Solid understanding of ML concepts ...

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 ...

successful candidate will play a key role in designing, developing, and maintaining the data infrastructure that powers analytics, reporting, automation, and AI/ML use cases across the organisation. Key Responsibilities Design, build, and maintain scalable, secure, and reliable data pipelines (batch and streaming). Develop and optimise ETL/… workflows. Familiarity with Infrastructure-as-Code (Terraform, CloudFormation, ARM, etc.). Strong understanding of data quality, testing, and observability practices. Desirable Skills Experience supporting Machine Learning pipelines or feature engineering. Knowledge of containerisation (Docker, Kubernetes). Experience with dbt for modelling and transformation. Background in financial services, payments ...

Role: Full-time (Permanent Role) We are building a world-class AI research team focused on advancing next-generation agentic systems and intent-aware learning architectures. Our mission is to bridge cutting-edge research in large language models, reinforcement learning, and alignment with scalable, real-world production systems. … Computer Science, Machine Learning, NLP, or related field (exceptional MS candidates considered). 5+ years post-PhD (or equivalent industry experience) in ML research. Strong publication record in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). Demonstrated track record of translating research into production systems. Experience ...

Datadog, Soda, SSRS, etc. • Cloud: Azure, AWS (S3) basic • Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Key Responsibilities Full Stack Development: Build and maintain scalable web applications using Java (Spring Boot), Python (Fast API/… Django), or Node.js for the backend. AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs. Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake databases. Cloud ...

from concept through to production* Design and deploy end-to-end AI solutions spanning data preparation, modelling, APIs, and production integration* Build and optimise ML and LLM-driven services, including prediction models, personalisation, and retrieval-augmented systems* Collaborate with business stakeholders to frame problems, define success metrics, and deliver measurable … shared tooling, reusable patterns, and engineering standards Required Experience* Strong software engineering background with Python and SQL* Proven experience delivering end-to-end ML or AI solutions into production environments* Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn* Experience working with LLMs, including prompt design ...

technology leaders, we want to hear from you! About Us Regent College London is a leading independent higher education provider, offering flexible and inclusive learning across multiple London campuses. We are student-focused, digitally forward, and committed to academic excellence — reflected in our 90% student satisfaction rating … Algorithms in Java Databases using SQL Advanced Databases and Big Data using Python Web Design Programming using ASP .Net Core Cloud Computing Applied Machine Learning using Python Key Responsibilities Deliver lectures, seminars, and tutorials in line with curriculum standards Develop and update teaching materials and maintain digital learning ...

opportunities, and change management. What You Bring Expertise in cloud platforms (AWS, Azure, GCP) and multi-cloud integration. Deep understanding of large language models, machine learning frameworks, and AI architectures. Proficiency in programming languages (Python, Java, C#). Strong analytical and problem-solving skills for complex system design. ...

breakthrough robotics spin-out from Imperial College London that is redefining how robots learn. The company has recently developed a new, extremely efficient imitation learning approach that is creating entirely new opportunities for deployment of intelligent robots. Backed by leading European deep-tech investors (£4.3m raised), the company … hands-on, high-ownership role for a highly talented engineer who wants to solve genuinely hard robotics problems, collaborating closely with world-leading robot learning researchers. You will take full ownership of the robotics stack that interfaces directly with learned models, ensuring that learned policies translate into robust, reliable ...

leading company is hiring a Data Scientist who has experience with Azure, Python, SQL, ML/NLP/GenAI and ML system design. 6-month rolling contract, paying up to £1000 per day, depending on experience. Experience and skills required for the Data Scientist, Advanced SQL, LLM, RAG, Machine Learning, Python, Java Development experience in one or more object-oriented programming languages (e click apply for full job details ...

with organisational standards Stay current with developments in LLMs, generative AI, and applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models ...

cases aligned to business drivers Define delivery phases, resource plans, timelines, and risk frameworks 🏗 Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender … search, embeddings) ✅ What We’re Looking For Proven experience in pre-sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management ...

solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. … enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch )."" Experience with vector databases , data querying ...

. Working on Software solutions with a technical stack around C# .NET, Python, SQL, APIs, Azure, Power Platform and SaaS/PaaS AI/ML experience: Not required, but significant differentiator Must demonstrate understanding of AI principles and risks Generative AI is heavily used in prototyping Experience of taking ...

Location: London Mode of working: 3 Days Hybrid Working Duration: 12+ Months contract. Responsibilities: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science and analytics teams to deliver robust measurement and optimization tools. Lead initiatives to integrate … source data dictionaries, database schema for wider use Skills: 5+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence ...

Location: London Mode of working: 3 Days Hybrid Working Duration: 12+ Months contract. Responsibilities: Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science and analytics teams to deliver robust measurement and optimization tools. Lead initiatives to integrate … source data dictionaries, database schema for wider use Skills: 5+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence ...

, data science, and scientific discovery. Our teams work at the intersection of cloud infrastructure, high-performance computing, and data engineering , enabling researchers and ML practitioners to move faster—from experimentation to real-world impact. This role sits at the heart of the platform: designing, scaling, and operating systems that … This Role Is For (Choose Your Strength) We’re open to different profiles and will shape the role around your strengths: 🔹 AI Platform/ML Infrastructure Engineers Kubernetes-based compute platforms GPU scheduling, batch & distributed workloads Supporting ML training, inference, and experimentation at scale 🔹 HPC/GPU Engineers Job schedulers ...