51 to 75 of 186 Machine Learning Jobs in Central London

Futures are partnered exclusively with the most exciting AI startup in Germany on a Search for a Tiny ML Engineer This is a once in a lifetime opportunity to create a new industry by building the operating system for physical world intelligence. Funded by Tier 1 VCs the company … Hands on Implementation experience of TinyML on MCU's Developing real-time sensing and control pipelines Applying advanced optimisation techniques (quantisation, pruning, compression) Integrating ML models with advanced embedded systems Shaping the company’s next generation of intelligent edge platforms The Candidate : Embedded ML/TinyML experience Strong background ...

skills across multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualizations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation ...

skills across multiple levels Preferred Qualifications Bachelor's degree in computer science (or similar) 7+ years of relevant industry experience Experience with AI/ML and LLM's Experience with application tracing , monitoring , analysis and visualisations through analytics dashboards Passion for high-quality code, tests, CI/CD, documentation ...

Director of AI Engineering, on behalf of a global Professional Services firm, to lead the strategy, design, and enterprise-wide adoption of Artificial Intelligence, Machine Learning, and Intelligent Automation capabilities. This is a senior leadership role at the intersection of technology, strategy, and commercial impact, responsible for scaling … Celonis) Analytics & Decision Intelligence Deliver data-driven insights through advanced analytics and BI platforms (Power BI, Looker) Enable predictive modelling and optimisation using modern ML toolkits Security, Compliance & Responsible AI Ensure alignment with enterprise security standards (SOC2, ISO27001, NIST) Champion explainability, bias mitigation, and ethical AI practices Leadership & Talent Build ...

trends and advancements in AI and machine learning. Profile Must haves: Software Engineering experience - ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions … Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer Car allowance of 5k Private medical 25 days + BHS Option to buy 10 more holidays Matched pension Life assurance ...

simplify complex technical concepts and present them in a compelling, client-focused narrative that resonates with business needs and drives buy-in. AI/ML Tools & Concepts: Experience with generative AI platforms (e.g., Snowflake Cortex, Chat GPT) and prompt engineering for presales use cases such as content generation, technical … showcasing successful outcomes and strategic insights. Technical Workshops or Training: Participation in advanced workshops or training focused on presales strategies, emerging technologies, AI/ML, or business intelligence tools, demonstrating a commitment to ongoing professional development Mayflower is acting as an Employment Agency in relation to this vacancy ...

defence, or regulated industries. Knowledge of data mesh or modern data architecture principles. Experience with containerisation technologies such as Docker and Kubernetes. Familiarity with machine learning pipelines and MLOps. Certifications in cloud platforms or data engineering technologies. What We Offer: Competitive Salary Bonus Scheme Private Healthcare Insurance ...

degree in Computer Science, Software Engineering, or a related technical field 4+ years of experience in developing and deploying production-grade AI/ML or automation solutions Strong proficiency in Python , with hands-on experience using FastAPI , REST APIs, and background task orchestration Deep familiarity with agentic frameworks such ...

layer transformations in Databricks using Python and SQL. * Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery * Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. * Contribute to technical documentation and ensure pipelines are maintainable ...

institutions in tackling fraud and financial crime. In this role, you will help design and evolve a modern Databricks + lakehouse architecture , enabling analytics, machine learning, and investigative teams to generate actionable insights from large-scale datasets. This is a hands-on leadership position focused on building robust ...

/FIXML, messaging systems, or trading workflows Experience building reporting platforms or client-facing web applications Leadership or mentoring experience Exposure to AI/ML tooling or developer productivity automation The Environment Modern engineering culture with strong focus on quality and ownership Cloud-native distributed platform High visibility role with ...

production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across ...

working with a fast moving tech business looking for a Senior ML Engineer to own personalisation end to end. This isn't a research role. You'll be shipping models to production, building the pipelines that feed them, and running the experiments that improve them — all in service of recommendation … engines and ranking algorithms that directly impact user experience. What you'll be doing: → Design, train and optimise ML models for personalisation and recommendations → Build and maintain scalable data pipelines for feature engineering and model training → Deploy and monitor models in production — performance, availability, relevance → Lead A/B testing ...

iterate, and continuously improve what’s in production WHO WE'RE LOOKING FOR Technical Proficiency: Strong experience in building full-stack applications. AI/ML Experience: Proficiency with machine learning frameworks (e.g., PyTorch, TensorFlow) and LLM-powered workflows. Product Mindset: Ability to translate business problems into technical, user ...

logistics partners to automate quoting, sourcing, and fulfilment workflows. What We're Building We're building a sophisticated AI platform that leverages graph databases, machine learning, and modern cloud infrastructure to deliver intelligent procurement and customer service … solutions. Our stack includes: Backend Services : Python 3.13, FastAPI, async micro-services architecture Data Layer : Neo4j graph database, PostgreSQL, complex data modelling AI/ML : OpenAI integration, semantic search, conversational agents, unstructured data analysis and extraction Infrastructure : AWS (Lambda, ECS/EKS, API Gateway, S3) DevOps : Terraform, GitHub Actions, Helm ...

reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate … optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative ...

cost Bridge the gap between business needs and technical delivery teams 🧠 What They’re Looking For Core Experience Strong background in AI/Machine Learning/Data Science/Solution Architecture Experience in client-facing roles — presales, consulting, or solution engineering Proven ability to shape enterprise-level software … trade-offs Ability to assess use case viability and business value Cloud & Technology Experience across at least two of: AWS (Bedrock, SageMaker) Azure (Azure ML, Azure OpenAI) GCP (Vertex AI) OpenAI ecosystem Plus: Understanding of data engineering and big data concepts Awareness of cloud security, scalability, and cost optimisation (FinOps ...

Design Translating business needs into scalable cloud architectures Cost optimisation and cloud best practices Data & AI Experience with data platforms, analytics, and AI/ML solutions Understanding of data lifecycle management Application Architecture Modern cloud patterns (serverless, containers, microservices) CI/CD and DevOps methodologies Security Identity & access management, encryption … scalability Disaster recovery and observability Governance & Compliance Cloud governance frameworks and cost control Auditing and compliance enforcement Desirable Skills AWS Specialty certifications (e.g. Security, Machine Learning, Advanced Networking) Exposure to other cloud platforms (e.g. Azure, Google Cloud) What's on Offer Competitive base salary + comprehensive benefits package ...

Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) - Dubai OR Remote The Opportunity A high-growth, technology-led business is building next-generation, AI-powered lending and decisioning systems from the ground up. This is a foundational leadership role —owning the architecture, strategy, and execution of intelligent lending … within a regulated, high-stakes environment Cross-functional alignment across Product, Engineering, Risk, and Operations Leadership and scaling of a high-performing AI/ML team What You’ll Build Intelligent risk and decisioning engines capable of operating with minimal human intervention Scalable data and model pipelines for high-volume ...

want to build AI products that directly influence lending and credit decisions? Have you built machine learning models in credit risk and want broader ownership? Are you ready to apply LLMs in real commercial financial products? A global credit analytics business is expanding its AI capability across both ...

Working in highly collaborative, cleared squads alongside Software Engineers and Data Scientists, you will: Automate AI Workflows: Design and deploy infrastructure for AI and Machine Learning solutions tailored for secure, restricted client environments. Scale AWS Environments: Leverage Terraform, Kubernetes, and GitOps to manage complex, highly-restricted infrastructures. Drive ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals ...

Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote working options Flexible benefits package Opportunity ...

want to build ML models that directly influence commercial decisions? Have you delivered measurable business impact through experimentation or optimisation? Are you ready to work on large-scale marketing effectiveness and MMM projects? A global live entertainment business is investing heavily in its Data Science capability as part … join a highly visible function working on projects with real business impact. This role is ideal for a hands-on Data Scientist with strong ML and statistical modelling foundations who wants exposure to experimentation, marketing analytics, and large-scale commercial decision making. MMM experience is not required — they’re looking ...

someone who wants broader ownership than a typical delivery-focused DS role. This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial … with Product Managers and Analysts to shape new product capability • Present insights and model outputs to internal and external stakeholders • Evaluate emerging AI and machine learning techniques for product innovation Key Details • Salary: Up to £65,000 • Location: Hybrid (minimum 2 days in London) • Tech stack: Python ...