1,976 to 2,000 of 6,391 Machine Learning Jobs in the UK

part of a pioneering Analytics Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics, programming, machine learning and Research and Development, giving you a chance to take a senior role and lead several high profile projects. Collaborating across SCOR … Good knowledge or experience of coding Python and/or R or the desire to learn coding. Interest or knowledge of data science and machine learning technique Some Actuarial training (actuarial trainees or those who have given up exams will both be considered) Pricing experience with Knowledge ...

part of a pioneering Analytics Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics, programming, machine learning and Research and Development, giving you a chance to take a senior role and lead several high profile projects. Collaborating across SCOR … knowledge or experience of coding Python and/or R or the desire to learn coding. Desirable: Interest or knowledge of data science and machine learning technique Some Actuarial training (actuarial trainees or those who have given up exams will both be considered)Pricing experience with Knowledge ...

only company pioneering leadership coaching for large enterprises in an AI-first way.Our mission is to transform how the world\'s biggest companies approach learning and development, helping teams work better together throughAI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We\'ve been featured inHarvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America.Our clients represent the most diverse and sophisticated enterprise AI implementations globally, includingCoca-Cola, Delta, Nestlé, General Mills, Schneider Electric ...

customer value; Partner with stakeholders across Engineering, Operations and Product organisations. Требования Extensive software engineering experience delivering production-scale solutions; Experience building AI or machine learning systems in enterprise environments; Demonstrated experience moving AI solutions from proof of concept into production; Strong understanding of software architecture, engineering standards … highly complex problems; Excellent stakeholder engagement and communication skills; Collaborative leadership through influence; Commitment to responsible and ethical AI development; Passion for continuous learning and innovation; Nice to have: Experience within Financial Services or highly regulated environments, knowledge of Service Reliability Engineering principles, experience developing AI-powered operational tooling ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … Hybrid: Demonstrated experience in a role that blends product management (defining the "what" and "why") with software engineering (defining the "how"). AI/ML Expertise: Deep subject matter expertise in applying modern AI/ML techniques to solve real-world business problems. Experience with NLP, predictive modeling, or generative ...

knowledge of motor insurance pricing, burn cost modelling, rating structures, underwriting risk and claims cost drivers, with experience of statistical modelling, predictive analytics or machine learning techniques within a general insurance pricing environment. Pricing Technology & Data Platforms: Proficiency in pricing and data tools such as WTW Radar, Databricks … numerical capability, with strong attention to detail and the ability to challenge assumptions, methods and outputs. Experience using statistical modelling, predictive analytics or machine learning techniques within a general insurance pricing environment. Proficiency with pricing and data tools such as WTW Radar, Databricks, Python, PySpark, SQL or similar ...

business recommendations Experience presenting insights and recommendations to stakeholders or clients Strong communication skills with the confidence to engage directly with customers Understanding of machine learning techniques and model development lifecycle Experience working with Databricks would be highly advantageous Exposure to cloud-based analytics environments, particularly Azure … collaboration across Data Science, Analytics, and Product teams Clear opportunities to develop both technical and client-facing skills A supportive environment that encourages continuous learning and professional growth How to Apply If you're a Data Scientist looking to work on impactful predictive modelling projects while developing your client ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms … timelines will change, priorities will most likely shift Be prepared to sacrifice your work-life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements 5+ years of professional software engineering experience. Hands-on experience building and deploying AI applications in production environments. ...

Platform’s Core platform - the services and infrastructure that let us deploy to a multitude of public cloud providers and that powers many ML and LLM powered features. We give every other engineering team a reliable base to build on, and we own the software delivery lifecycle … This is an exciting opportunity to grow professionally while contributing to a mission-driven organization. Responsibilities What you’ll own Reliability of platform(includes ML and LLM workloads) - model serving and inference infrastructure (GPU-backed endpoints, autoscaling, latency and cost tradeoffs), with SLOs, on-call, and incident response that cover ...

cutting edge of the field, with current research threads including: System Understanding: Interpretability, steering vectors, and the science of evaluations. Control & Alignment: Goal drift, machine unlearning, and uncertainty calibration. Societal Safeguards: Misinformation mitigation and robust deployment boundaries. We collaborate closely with the Faculty's wider AI safety team … labs, or evaluation roles. Deep knowledge of language models and generative AI architectures, including white-box techniques beyond API-level access. Strong foundation in machine learning fundamentals, particularly in robustness, explainability, or uncertainty estimation. Proficiency with deep learning frameworks like PyTorch and the Python skills required ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … Hybrid: Demonstrated experience in a role that blends product management (defining the “what” and “why”) with software engineering (defining the “how”). AI/ML Expertise: Deep subject matter expertise in applying modern AI/ML techniques to solve real‐world business problems. Experience with NLP, predictive modeling, or generative ...

systems such as Tanstack Query or Zustand. Strong proficiency with Python Familiarity with Git and software engineering principles Confidence in collaborating across disciplines, and learning new tools every day An appreciation for game design and development principles Nice to Have: Proficiency or familiarity with machine learning concepts ...

Data, Analytics and AI organisation of Arrive. The Data Science Products team ingests billions of complex sensor data points daily to produce advanced machine learning products that help millions of drivers park or charge electric vehicles. For example, we predict the availability of parking in cities across … services with high confidence and zero downtime. Advance Data Capabilities : Lead the hands-on development of platform enhancements, such as establishing feature stores for machine learning and building automated data monitoring systems to ensure data integrity and model reproducibility. Scale AI Practices : Lead the adoption of AI throughout ...

Strong understanding of software engineering fundamentals, system design and performance optimisation. Experience building products and platforms from concept through to production. Exposure to AI, Machine Learning or LLM‐powered applications is highly desirable. A passion for modern engineering practices, continuous learning and solving complex technical problems. Benefits ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms … uncomfortable; timelines will change, priorities will most likely shift Be prepared to sacrifice your work-life balance in exchange for joining anincredible journey and learning a lot along the way. Requirements Technical Technical stack : Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, Github actions. Observability: Experience implementing ...

role with a strong Machine Learning and Large Language Model (LLM) focus, ideal for a Python Engineer who has experience working with ML/LLM technologies. You will work alongside Software Engineers, Machine Learning specialists and the wider technology team to deploy, integrate and optimise innovative … with Machine Learning and Large Language Models (LLMs) this is an essential requirement for the role Experience deploying, integrating or working with ML/LLM models in practical applications Familiarity with machine learning frameworks, model deployment and inference technologies Experience using Python data and matrix manipulation ...

fleet (VS Code, Python, Git, CLI utilities), balancing developer flexibility with security and compliance standards. Define and support endpoint requirements for AI/ML workloads, including GPU driver management, containerization/WSL2, and local model runtime resource sizing. Partner with engineering and data teams to evaluate, standardize, and roll … Support, Including Configuring and troubleshooting VS Code, Python, and common CLI/developer environments Git‐based version control workflows Endpoint requirements for AI/ML workloads (GPU drivers, WSL2/containers, local model runtimes, resource sizing) Applying governance and device‐management guardrails to developer and AI tooling without blocking productivity ...

Platform Engineer London Company Overview Model ML is the AI workflow builder transforming how major financial institutions produce and validate client‐ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become … timelines will change, priorities will most likely shift. Be prepared to sacrifice your work‐life balance in exchange for joining an incredible journey and learning a lot along the way. Requirements Technical stack : Azure (also AWS is a plus), Terraform, AKS (Kubernetes), Docker, GitHub Actions. Observability : Experience implementing logging ...

looking for a Lead AI Engineer (Senior/Principal Consultant) to join our Technology Delivery Team. You'll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader … native AI deploymentExcellent communication, problem-solving, and project management skills in agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation techniquesPrevious success ...

fleet (VS Code, Python, Git, CLI utilities), balancing developer flexibility with security and compliance standards. Define and support endpoint requirements for AI/ML workloads, including GPU driver management, containerization/WSL2, and local model runtime resource sizing. Partner with engineering and data teams to evaluate, standardize, and roll … support, including: Configuring and troubleshooting VS Code, Python, and common CLI/developer environments Git-based version control workflows Endpoint requirements for AI/ML workloads (GPU drivers, WSL2/containers, local model runtimes, resource sizing) Applying governance and device-management guardrails to developer and AI tooling without blocking productivity ...

journeys. You will be responsible for defining strategy, prioritising investments, and delivering measurable outcomes across document verification capabilities, working closely with Engineering, AI/ML, Product Design, Operations, and Growth teams. This is an excellent opportunity for someone who wants to help shape the future of digital identity, as identity … Document Verification portfolio. Analyse customer journeys and product performance to identify opportunities to improve verification outcomes. Partner closely with Engineering, AI/ML, Data Science and Design to deliver innovative document verification capabilities. Drive improvements in verification accuracy, customer conversion, operational efficiency and fraud prevention. Work closely with Growth, Customer ...

Testing: Design, execute, and analyze rigorous A/B and multivariate tests to measure feature performance, user retention, and business impact. Predictive Analytics & Machine Learning: Build, validate, and maintain scalable predictive models (e.g., churn, forecasting, customer lifetime value (CLV) and user segmentation) to guide business decisions. Exploratory Data … writing optimized, complex queries across large cloud data warehouses (e.g., Snowflake, BigQuery). Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory, decision trees, and hypothesis testing (p-values, confidence intervals, Bayesian testing etc. ...

operations. Designing and implementing high‐performance optimisation algorithms and production‐grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi‐stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational and commercial … functional teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud‐based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation ...

simulated and real-world mission environments. Shield AI is growing quickly, and we're looking for someone who thrives in fast-paced environments, embraces learning, and brings a high-ownership, mission-driven mindset. This is a chance to have a real impact - advancing autonomy that protects lives - while working … robotics software, or flight autonomy algorithms. Familiarity with C++ and software/hardware integration concepts. Experience with HIL or VIL test environments. Exposure to machine learning or AI-driven autonomy systems. Background in simulation infrastructure design, distributed testing, or test data management. Quality Assurance (QA) experience, including process ...

problem-solving skills. Ability to influence technical direction and work autonomously. Desirable Cybersecurity, malware analysis, threat detection, or security product experience. Statistical analysis, machine learning, or complex systems experience. Previous mentoring or technical leadership experience. Why Apply? Work on genuinely challenging technical problems, shape innovative products, and collaborate ...