1,226 to 1,250 of 2,608 Machine Learning Jobs in London

value-based selling that achieves material business outcomes. Proven success in influencing Chief Data Officers, Chief Analytics Officers, Lines of Business, and AI/ML leaders at Fortune 1000 companies. You bring both the strategic acumen of a consultant and the competitive drive of a closer. Demonstrated experience selling ...

peers, service teams, and product groups to influence roadmap priorities based on customer needs- Stay current on emerging trends in data analytics, AI/ML, and financial services technology, and feed insights back into customer engagements and internal communitiesA day in the lifeYou'll be joining a focused, high-calibre ...

account manager, solutions architect, sales engineer, or technical consultant. Preferred experience working with SQL, Python, React, and web development frameworks. Familiarity with AI/ML tools is a strong plus. Passion for AI technology and a strong desire to apply it to real-world customer challenges. Ability to proactively identify ...

peers, service teams, and product groups to influence roadmap priorities based on customer needs Stay current on emerging trends in data analytics, AI/ML, and financial services technology, and feed insights back into customer engagements and internal communities A day in the life You'll be joining a focused ...

experience in conducting or leading financial crime risk assessments and/or change impact assessments. Experience delivering data-driven products, including applying AI/ML in Financial Crime contexts and building or enhancing case management systems and investigator tooling. Experience developing products for investment platforms or digital consumer banking, ideally ...

understand stated, unstated business needs, and challenges. Own the overall technical relationship between - customers and AWS. Influence leaders on topics such as AI/ML, app modernization, reliability, and operational efficiency, security, cost, and performance. Working backwards from the customer's business needs, create a holistic technology vision, strategy ...

experience in conducting or leading financial crime risk assessments and/or change impact assessments. Experience delivering data-driven products, including applying AI/ML in Financial Crime contexts and building or enhancing case management systems and investigator tooling. Experience developing products for investment platforms or digital consumer banking, ideally ...

functional and object-oriented programming. Knowledgeable in Javascript/Typescript, HTML, WebGL, experience in CUDA/GPU-programing, cloud-computing, Github, web-hosting/Machine Learning. Strong communication skills and ability to work both, independently and collaboratively, clear in the presentation of complex issues. JOB RESPONSIBILITIESServes as a statistical ...

They can also build sophisticated, full-fledged programs, such as common operating pictures, alert-triaging inboxes, and resource allocation planning tools driven by rich-ML models. As a Senior Front End Software Engineer focused on application development in Foundry, you will be responsible for crafting the tools used by thousands ...

technologies • Experience across customer, marketing, commercial, web or product analytics • Strong understanding of CX, customer data and digital analytics • Experience leading AI/ML POCs, MVPs and production-grade solutions • Ability to move between hands-on technical delivery and strategic leadership • Proven project, programme and people management experience • Strong commercial … relationships with senior client stakeholders and identifying new opportunities • Excellent communication, presentation and data storytelling skills • A strong interest in emerging developments across AI, ML, GenAI and Agentic AI 🌟 Experience across Consumer & Retail, Energy & Utilities, Telecommunications or Public Sector would be a bonus. 💡 What makes this role different ...

computational biology strategy, aligning it with broader R&D and business goals Build, mentor, and grow a team of computational biologists, bioinformaticians, and ML scientists Partner closely with wet-lab biology, chemistry, clinical, and data engineering teams to embed computational thinking across the pipeline Drive the design and application … that directly influenced experimental or clinical decisions Deep fluency in at least one core area (e.g. genomics, proteomics, single-cell analysis, structural biology, or ML/AI applied to biology), with working knowledge across others Proven ability to build and scale teams, including hiring, mentoring, and setting technical direction Comfort ...

established international platform across the UK and Canadian markets. Day to day responsibilities include: Production System Health: Oversee, refresh, and retrain the live ML model suite without needing to overhaul the underlying architecture. Keep an eye on model performance and drift. Commercial Analytics: Monitor baseline UK/CA performance metrics … Stack: Advanced SQL and Python (or R ) skills to maintain existing codebases and pipelines. Model Stewardship: Practical expertise in monitoring, troubleshooting, and retraining live ML models. Autonomous Operator: High self-direction to manage daily BAU operations with minimal oversight. Clear Communicator: Able to translate complex technical issues into actionable business ...

Qureight Ltd. is seeking a Machine Learning Engineer to build, train, optimise and deploy state … computer vision models for 3D medical imaging. You will develop scalable inference pipelines, improve data loading and CI tooling, and collaborate with ML Scientists, DevOps, Data Engineering and Software Engineering teams. You'll work with Python, PyTorch, Docker and cloud environments to turn research models into robust production workflows that ...

founder and CEO, started building the company before ChatGPT was released; Dr Anna Chabokdast, co-founder and CTO (ex tractable), trained her first ML model ten years ago. We were building at the frontier of AI in energy before the hype. Since then: our own models trained and in production … Anna, own whole systems end to end, and touch whatever the platform needs. Over time the role grows into deploying and operating the production ML that powers the pipeline alongside Anna, so we'll want proof you've already taken a deep learning model into production. The hard problem ...

Kingfisher is seeking a Lead Machine Learning Engineer to spearhead the research and development of ML/AI services within the Group Data Science team. You will trailblaze the development of data science algorithms while building, leading, nurturing and retaining a high-performing data science team across banner ...

train, debug, and improve computer vision and 3D perception models, and iterate based on clear evaluation signals. You'll work across the full ML lifecycle (data training evaluation iteration), partnering with the team to decide what to tackle next based on where the system is underperforming. A meaningful portion … coverage at scale.ð You should apply if: You've built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). You have experience with 3D perception concepts or pipelines (e.g., LiDAR, multi-view geometry, tracking, 3D reconstruction) and you're comfortable ...

software engineering here, so you'll write production-grade code, not just notebooks. Lead the end-to-end build of credit risk models, treating ML as software engineering so everything you ship is fast, reproducible and robust. Design modelling frameworks for decisioning, pricing and fraud that move company-wide … influence over where it goes. Who thrives hereGets restless when a model is "good enough" but not great4+ years building and maintaining production-grade ML systemsCares as much about code quality as the statistics behind itStrong grip on predictive modeling and credit risk concepts (IV, ROC AUC, SHAP ...

strong interest and practical experience in applied AI or machine learningStrong programming skills in Python (or similar) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into productionSolid understanding of cloud technologies, containerisation … building scalable AI applicationsAbility to integrate AI/ML models into real-world applications, focusing on usability and performanceStrong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environmentExperience working with large datasets, particularly in relation to demand and supply forecastingBonus: experience or strong ...

product lifecycle. Skills & Experience Needed Strong Data Product Management experience, ideally within AI, analytics or machine learning products. Good understanding of AI, ML and emerging Agentic AI concepts and their business applications. Ability to translate business challenges into product opportunities and roadmaps. Excellent stakeholder management and communication skills. ...

record delivering enterprise cloud data platforms, analytics, and machine learning solutions. Deep knowledge of data governance, cloud architecture, and the AI/ML lifecycle. Strong leadership, stakeholder management, and problem-solving skills in regulated environments. Preferred Qualifications Hands-on familiarity with Generative AI, MLOps, metadata management, or Data ...

record delivering enterprise cloud data platforms, analytics, and machine learning solutions. Deep knowledge of data governance, cloud architecture, and the AI/ML lifecycle. Strong leadership, stakeholder management, and problem-solving skills in regulated environments. Preferred Qualifications Hands-on familiarity with Generative AI, MLOps, metadata management, or Data ...

Voleon Group is seeking a Senior Machine Learning Engineer to join our Research … team in London. You will translate research ideas into production-grade code, build data pipelines and modeling infrastructure, and contribute to scalable, high-performance ML systems driving our quantitative trading strategies. Working at the intersection of Computer Science, Mathematics and Statistics, you will collaborate with PhD researchers, ensure correctness ...

BeyondMath, located in Greater London, seeks a Machine Learning Engineer to advance their Generative Physics simulation platform. You will design and train AI models for physics simulation … optimizing performance while integrating into engineering workflows. The ideal candidate has a Master’s (PhD preferred) in a relevant field and strong experience with ML applications in physical systems. Join an elite team driving impactful technology in sustainable energy and efficient transport. #J-18808-Ljbffr ...

frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams. Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer. Turn what works on the ground into product direction … what’s possible in applied AI, and bring it back to the team. What you'll bring to the team Strong track record applying ML/data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain/pricing. The instinct to own outcomes ...

team of engineers. You will shape deployment, observability, and scalable machine learning systems across the platform. You will collaborate with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders to deliver production-ready models and AI services that drive business value. The role adopts ...