676 to 700 of 2,927 Machine Learning Jobs in London

join our growing analytics team. This role is ideal for a Data Scientist or Actuary with experience and deep expertise in predictive modeling, machine learning, and insurance analytics. You will play a pivotal role ininfluencing client decision-making,shaping pricing strategies and delivering actionable insights to clients across … Requirements 5+ years of experience in the insurance industry, with deep expertise in analytics, actuarial modelling, and predictive techniques. Strong hands-on experience with machine learning and statistical modelling to improve the accuracy, performance, and business impact of risk and pricing models. Advanced proficiency in programming languages such ...

regulatory compliance. Support GDPR compliance activities, including Data Protection Impact Assessments (DPIAs) and governance of data used within our data estate, and AI and machine learning solutions. Act as the primary point of contact for data-related regulatory and governance matters. Define policies and standards for third-party … highly regulated sectors. Understanding of Responsible AI principles, AI governance frameworks and the risks associated with AI-enabled solutions. Experience supporting governance requirements for machine learning and advanced analytics initiatives. Knowledge of SRA data handling obligations, and insurer/corporate client data-sharing requirements are desirable ...

What you’ll be doing You will take partial ownership of the design and delivery of critical software components powering different types of runtime machine learning inference on the PlayStation consoles. This role demands strong technical leadership, driving innovation and advancing the underlying principles and architectures to shape …/C++ and shader languages, with a solid understanding of GPU programming and low‐level computing to deliver technical excellence. Familiarity with machine learning is considered an asset. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal ...

values collaboration, ownership, and a commitment to delivering high-quality results in a fast‐paced, dynamic environment. We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy (https://www.joybuy.com/). Joybuy is JD.com’s European full‐category ...

first principles, you identify assumptions and test them methodically, you question the ‘why’ behind every decision Nice-to-haves: Familiarity with training and evaluating machine learning pipelines Experience in harsh industrial settings (welding/fabrication/heavy industry) Experience as a Forward Deployed Engineer (FDE) Robotics and/…/3D images Robot Control and Command Tune and optimize our robot motion planning and collision avoidance stack Build and train AI/machine learning based systems to handle real-world welding scenarios Systems, hardware, and integration Design and construct sensor enclosures to protect sensors and edge devices ...

positive difference in people's lives. We thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, you'll be responsible for researching, developing, and testing new AI algorithms, models, and technol click apply for full job details ...

users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. Staff Machine Learning Engineer London, King's Cross Top-of-market compensation The Role You'll take ownership of designing, building, and shipping production-grade … cost, and business value Behavioural prediction through time-series and sequence systems Measurement and validation using A/B testing, causal inference, uplift modelling ML infrastructure: pipelines, training loops, serving, monitoring Technical leadership and mentorship on shipping discipline and impact What We're Looking For Shipped production systems ...

power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges … future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis. We have built a special culture where innovation thrives because everyone owns ...

simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. … commercially-minded and ideally understand how value is derived in an insurance business. You have experience of working with data intensive and/or machine-learning products. You've both read the theory and done Product effectively in practice, leaving you with a toolkit that you can apply ...

What you'll be doing You will take partial ownership of the design and delivery of critical software components powering different types of runtime machine learning inference on the PlayStation consoles. This role demands strong technical leadership, driving innovation and advancing the underlying principles and architectures to shape …/C++ and shader languages, with a solid understanding of GPU programming and low-level computing to deliver technical excellence. Familiarity with machine learning is considered an asset. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal ...

Staff ML Engineer | Agentic AI & Applied ML | London (3 days per week on-site) | Contract | Inside IR35 We’re supporting a global technology-driven organisation that’s scaling advanced AI capability across its UK engineering function. The organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks. … next challenge is moving beyond individual use cases: driving adoption across engineering teams, establishing common engineering patterns and enabling increasingly complex AI and ML solutions to operate safely and reliably in production. This is a senior hands‐on Staff Engineer position with significant influence over the technical direction ...

coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear … actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact ...

Product Manager - MLOps, you will own the strategy, roadmap, and delivery of Radiant’s machine learning platform and suite of AI/ML cloud services. You’ll work across GPU compute, training, inference, orchestration, model lifecycle, developer tooling, observability, and platform integrations, partnering closely with engineering, infrastructure … commercial teams, and customers. This is a highly technical product role focused on making it easier for customers to build, train, deploy, and operate ML workloads on Radiant’s neocloud platform. Key Responsibilities: Own the strategy, roadmap, and delivery of Radiant’s MLOps and ML platform services. Define products across ...

accountability, embrace challenge, and want to make a real difference, you'll fit right in. Some of the great things you'll be doing: ML Engineering and AI Systems Deliver well-scoped ML and AI system components end-to-end, from design through to testing, deployment, and production support Contribute … packaging, deployment, and lifecycle automation Build and improve systems that monitor model performance, drift, reliability, and operational health Support both batch and real-time ML workloads depending on use case requirements Work on emerging AI and LLM-powered capabilities, helping integrate modern AI techniques into production systems where they ...

driven by our common purpose to deliver a better world. Join us. What You’ll Do Leadthe design and development of advanced AI/ML models that deliver measurable impact in the engineering domain Ownthe end-to-end modelling lifecycle — from problem formulation and feature strategy to validation and production … handoff Tacklecomplex, ambiguous problems and translate them into scalable ML solutions Designrobust experimentation frameworks and define evaluation methodologies that ensure real-world performance Collaborateclosely withMLOpsto productionize models while focusing on modelling excellence and performance optimization Partnerwith product managers, engineers, and domain experts to embed AI capabilities into our SaaS platform ...

capabilities or "engines" that integrate directly into Anaplan Applications to solve complex enterprise business problems. In this role, you will develop best-in-class ML models and pipelines to drive automated, actionable insights at scale. Beyond core development, you will act as a key technical partner for our customers. … will play a highly visible role in driving customer onboardings, getting hands-on with client data to customize and fine-tune our ML engines so they seamlessly adapt to complex business realities and specific customer needs. Your Impact Customer Onboarding & Engine Customization: Lead the technical deployment of our engines ...

Full-time ML engineering role building financial-ML frameworks, HPC training pipelines, low-latency inference, and large-scale GPU systems with Python, C++, CUDA, and modern ML libraries. Build reusable frameworks for financial machine learning. Optimise training pipelines for high-performance computing. Integrate ML models into latency-sensitive production … systems. Build large-scale, observable ML systems. Work with C, C++, Python, CUDA, and other low-level GPU technologies. Python and/or C++. PyTorch, JAX, TensorFlow, or another deep-learning library. GPU programming with CUDA, Triton, SYCL, ROCm, or similar tools. Large-scale ML systems, including very large ...

area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes … learning new programming languages - Approach solving problems pragmatically, creating clarity and structure in ambiguous situations - Experience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applications - Experience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior ...

years of industry experience across the globe. Sprytech has started an India office based in Mumbai and is working to establish an AI/ML driven cybersecurity and digital threat analytics centre to enhance the security of industry and government organisations. We are looking for an AI Application Developer … Qualifications Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Experience: Proven experience in AI/ML model development and software engineering. Experience with end-to-end AI project deployment is highly desirable. Technical Skills Proficiency in programming languages such as Python ...

JPMorgan Chase & Co. in London seeks an Associate Machine Learning Data Scientist for Payments Machine Learning. Design, develop, and deploy ML applications—including generative AI—on cloud. Collaborate with senior engineers and data scientists to ensure reliable, secure, and observable production systems. You will contribute across ...

Bridge the gap between cutting-edge AI research and practical application. You will own the design, training,and fine-tuning of advanced machine learning models to solve complex, domain-specific problems. We valueengineering driven by first-principles thinking — someone who genuinely enjoys digging into the math of thelatest … Collaborative hand-off: partner with MLOps so prototypes are built for stability and transition cleanly into scaled production. What we're looking for Advanced ML & deep learning: deep theoretical and practical grasp of modern frameworks (PyTorch preferred), optimisation, and neural-network primitives. Scientific computing & math: strong linear algebra, calculus ...

Senior ML Platform Engineer (GenAI Platform) Location London Employment Type Full time Location Type Hybrid Department Engineering We power people’s progress. At Preply, we’re all about creating life-changing learning experiences. We help people discover the magic of the perfect tutor, craft a personalised learning journey … GenAI safely at scale. Our scope includes the GenAI gateway, model and prompt lifecycle, evaluation, observability, cost controls and guardrails. We work closely with ML Platform, which supports core machine learning workflows, and Agentic Platform, which provides agent orchestration, state management and tool integration. Together, we give product ...

coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear … actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact ...

pick up new tools and languages quickly - is an advantage. What you'll do In this role, you'll work alongside our Data Scientists, Machine Learning Engineers, and (with support) our customers to help define and solve engineering challenges. You’ll contribute to delivering high-fidelity simulations … team members, while building toward doing this independently. Working at the intersection of CAE and Data Science to help generate simulation datasets for training Machine/Deep Learning models, and developing your understanding of how data sampling choices affect model accuracy and cost. Using Flux (our cloud platform ...

onsite Full time The opportunity Join a forward-thinking autonomy team developing advanced humanoid robots. In this role, you will develop and train reinforcement learning models for robotic manipulation tasks, working both in simulation and real-world environments. Collaborate across teams to create robust manipulation policies, contribute to deployment … with robotics simulators (e.g., Isaac Sim, MuJoCo) Desirable: experience in RL for robotics and large-scale RL infrastructure (e.g., ray) Desirable: publications at major ML conferences or contributions to open source Security vetting Confirm any vetting requirements with your consultant. An absent badge does not mean vetting is unnecessary. Working ...