26 to 50 of 176 Machine Learning Jobs in Central London

AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build … implement, and monitor key performance metrics for AI-driven product features. Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements 7+ years of experience in data science, machine learning, and AI development across structured ...

analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python … Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models ...

alternative data, ensuring absolute consistency for research teams. Operationalize Machine Learning: Bridge the gap between research and production by deploying complex ML models into live environments under strict latency constraints. Optimize the Stack: Go "close to the metal" to optimize performance across networking, I/O, and compute … Have Polyglot Mastery: Exceptional command of at least one major systems language ( C++ , Rust , Java ) for low-latency components, or Python for data and ML workflows. Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka , ZeroMQ , NATS ). Systems-Level Intuition ...

communication Other: Mapping/location-based services There’s also scope to get involved in machine learning over time. Staxy already use ML to process GPS data and understand travel behaviour, and this will become a bigger focus as the platform evolves. You don’t need ML experience … React Native/Expo experience MongoDB Fastify or similar Node frameworks Mapping or location-based services Payments (e.g. Stripe) Any exposure or interest in machine learning Growth & progression Because the team is small and early-stage, this is a role where progression is earned, not capped. As Staxy ...

concept solutions, MVPs and prototype demonstrations within short innovation cycles Lead technical delivery during workshops, discovery sessions and innovation sprints Build and deploy machine learning and generative AI solutions using large and small language models plus vision and image-based models Develop lightweight APIs within serverless or PaaS … Django Strong SQL capability including PostgreSQL or MySQL plus experience with vector databases Experience working with microservices or serverless architectures Practical exposure to machine learning plus generative AI models including LLMs SLMs vision models Familiarity with AI frameworks such as RAG LangChain LlamaIndex plus agentic frameworks Hands ...

code reviews to ensure robust contributions like suggesting extra tests, spotting inconsistencies and helping resolve problems. The Player A postgraduate qualification in Data Science, Machine Learning, Statistics, Mathematics or a closely related quantitative field. 3+ years of working experience or a PhD in a quantitative field. Advanced programming … models for sports. A good understanding of betting concepts and markets. Desirable Qualifications 2+ years working experience in the betting industry. Knowledge of modern Machine Learning methodologies (e.g. Neural Networks, Random Forests, GBMs, SVMs etc.). Experience with cloud computing services. Experience with version control platforms (e.g. GitHub ...

edge data platforms. Engineer enterprise-level data pipelines and optimise ETL processes. Develop workflows and decision-support tools that transform operations. Integrate AI and machine learning into client systems, ensuring measurable outcomes. Partner with senior stakeholders to translate business needs into technical solutions. Set engineering standards, champion best … engineering, ETL pipelines, and workflow design at scale. Proven track record of leading projects and mentoring teams in client-facing environments. Passion for AI, machine learning, and translating emerging technologies into real-world impact. Exceptional problem-solving, communication, and stakeholder management skills. Curiosity, adaptability, and a drive ...

data pipelines and ETL processes. Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations. Apply AI: Collaborate on AI and machine learning models applied to real-world challenges. Technical Excellence: Deliver scalable, reliable software solutions using Python, SQL, and TypeScript. Grow & Share: Mentor peers … technologies (Foundry, Gotham, or similar) is preferred but not essential . Solid understanding of data engineering, ETL pipelines, and workflow design. Passion for AI, machine learning, and emerging technologies. Excellent problem-solving, collaboration, and communication skills. Curiosity, adaptability, and a drive to make a real-world impact. Work ...

ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Frontend Engineer to work closely with product, design … mobile, and machine learning team members to design & build experiences that re-define retail shopping. You'll help help build engaging & intuitive web experiences using highly responsive UI components and real-time data flows. Responsibilities: Design and implement reactive, real-time web interfaces that help manage & redefine what ...

making models. Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations. Apply AI: Collaborate with colleagues to implement AI and machine learning models against real-world challenges. Technical Excellence: Apply your software engineering skills to build scalable, reliable solutions. Grow & Share: Contribute … TypeScript. Experience with Palantir technologies: Foundry, Gotham, or similar platforms (preferred) Strong understanding of data engineering, ETL pipelines, and workflow design. Passion for AI, machine learning, and emerging technologies. Excellent problem-solving, collaboration, and communication skills. Curiosity, adaptability, and a drive to make a real-world impact. ...

ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for experienced Backend, Full Stack and Platform Engineers to work closely … with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help build engaging & intuitive app experiences and the event-driven & real-time backend services that power them. You’ll work across our platform, real-time data flows ...

Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights. These insights will shape media, marketing, influencer, and creative strategies, helping clients … data preparation, aggregation, and transformation. Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media. Proven experience applying ML/statistical methodologies to large datasets (>1TB). Experience building NLP and Computer Vision products with engaged user bases. Knowledge of open-source NLP & CV libraries ...

ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product … design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components ...

ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient … continuous improvement. What we're looking for: Previous experience in general insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. ...

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 … model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Lead ML Engineer , with a proven track record of delivering ML models to production, to own the ML team in our growing company. What you will ...

Cloud Infrastructure (OCI) services and architecture Integrations with Oracle SaaS applications Oracle PaaS technologies Youll also have hands-on knowledge of Oracles AI and machine learning ecosystem, including: Oracle AI Services (Language, Vision, Anomaly Detection, Forecasting) Oracle Machine Learning (OML) and AI-driven integrations within ...

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 ...

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 ...

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 ...

test: Prompt-level guardrails. Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets, adversarial evaluation corpora, and scenario-based test sets. Help transition research outputs … platform direction. Key Skills and Experience Strong Python programming skills and foundations in machine learning, LLMs, or multimodal AI. Understanding of ML concepts such as training, fine-tuning, optimisation, evaluation, and model drift. Experience building or adapting ML models (open-source or proprietary). Ability to design structured ...

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 ...

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 ...

indicators. Automate client-ready reporting and insight generation across multiple accounts and channels. Apply AI and machine learning tools (e.g. Python, modern ML frameworks, analytics tooling) pragmatically to deliver value quickly rather than experimental outputs. AI-Driven Resource Management & Agency Operations Design AI-enabled systems to improve resourcing … ahead of developments in AI, martech, attribution, and agency operations. Continuously refine internal frameworks for speed, scalability, and repeatability. Embed a culture of testing, learning, and evidence-based decision making. Ensure AI capability evolves in line with agency growth and client expectations. Qualifications Education Bachelor’s or Master ...