1,601 to 1,625 of 4,814 Machine Learning Jobs in the UK

infrastructure/CTO teams, prioritizing observability needs from line-of-business teams and driving improvements. A strong understanding of observability tooling, evolving AI/ML capabilities, and enterprise tooling ecosystems will be essential.This role requires providing technological Support solution for Function called Project Orion which provides End-to-End payment … gathering tooling feedback, surfacing systemic issues, and influencing platform enhancements via the Services Observability Forum.* Stay current with observability trends, including AI/ML-driven insights, anomaly detection, and emerging OSS practices, and assess their applicability.* Maintain strong knowledge of observability platform features and vendor offerings to advise teams ...

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.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 ...

data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated … where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What ...

recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. The Role The Principal ML Infrastructure Engineer will extend and operate the infrastructure that powers our research model training, fine-tuning, and serving pipelines. You will be embedded within … Research function, partnering directly with ML engineers and research scientists to ensure they can train Large Physics Models efficiently and reliably at scale. Team Context In this role, you will be vertically embedded in Research, working daily with: Research Scientists who determine the model architectures and methods ML Engineers ...

data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated … where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What ...

significant experience leading end-to-end Data Science projects within operational, logistics, manufacturing or similarly complex environments> Enjoy solving business problems using predictive analytics, machine learning and data-driven decision making> Can work closely with stakeholders, product teams and engineers to turn complex analysis into practical business outcomesThe … commercial experience in Data Science roles, with demonstrable progression in responsibility> Strong technical knowledge across key areas of the Data Science toolkit including programming, machine learning, data preparation, visualisation and predictive analytics> Exposure to optimisation, simulation or advanced analytical techniques> Experience delivering Data Science solutions within operational, logistics ...

infrastructure/CTO teams, prioritizing observability needs from line-of-business teams and driving improvements. A strong understanding of observability tooling, evolving AI/ML capabilities, and enterprise tooling ecosystems will be essential.This role requires providing technological Support solution for Function called Project Orion which provides End-to-End payment … functions by gathering tooling feedback, surfacing systemic issues, and influencing platform enhancements via the Services Observability Forum.Stay current with observability trends, including AI/ML-driven insights, anomaly detection, and emerging OSS practices, and assess their applicability.Maintain strong knowledge of observability platform features and vendor offerings to advise teams ...

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 ...

understanding of technology and development principlesProficiency in modern cloud platforms, especially AWS, with experience designing and managing scalable cloud-based solutionsExperience integrating AI and machine learning technologies into software solutionsProven skills in database design, optimization, and maintenance, ensuring data integrity and performanceDemonstrated experience leading teams using agile methodologies … such as Scrum or KanbanAdvanced knowledge of software application development and technical processes in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile)Experience applying expertise and new methods to solve complex technology problemsAbility to present and communicate effectively with senior leaders and executivesExperience ...

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 the company’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 ...

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 ...

internal processes Develop and deliver analytical solutions Design, build, and refine models and algorithms supporting experiments, prototypes, and minimum viable products, using statistical and machine learning approaches Translate ideas into structured solutions Turn business or innovation ideas into testable experiments to validate against the data or with … data science solutions, from exploration to deployment or handover Experience working with business stakeholders or product teamsTechnical skills Solid understanding of statistical methods and machine learning techniques, focused on timeseries data and text Strong programming skills in Python and experience with standard data science libraries such as pandas ...

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, a group with … academia, industry 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 to build ...

enhance its services and deliver value to its clients. Job DescriptionMachine Learning Engineer - LondonThis role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services.Design, train, and optimise machine learning models for audio processing tasks … such as speaker diarization, automatic speech recognition (ASR), and voice activity detection.Build and maintain training and inference pipelines using PyTorch, and related ML frameworksSource, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows.Run structured experiments, evaluate model performance, and iterate based on measurable resultsBuild, deploy, and operate ...

rate.Next-Generation Sequencing Analytics: Apply NGS to quantify enrichment, decode sequence-function trends, and guide prioritization and optimization.AI- and Data-Driven Decisions: Use AI, machine learning, and computational methods for sequence prioritisation, library design, and lead optimisation to improve success rates and speed.Automation and Workflow Development: Implement … display, including library design/generation, and selection campaigns using diverse enrichment strategies.Experience with next-generation sequencing (NGS) applied to peptide discovery.Experience applying AI, machine learning, and/or computational methods to therapeutic discovery, ideally in support of peptide hit finding, sequence prioritisation, library design, or lead optimisation.Experience ...

your teams A track record of understanding, assessing, and embracing new tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy … deadlines Advising clients on architecture, scalability and platform evolution, connecting technical decisions to product and business outcomes Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Driving innovation by proactively surfacing new technical approaches and product solutions Leading ...

code workflows, and intelligent document processing solutions. Lead the investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive submission planning. … Receive United Kingdom: Competitive salary, annual bonus, pension scheme, health insurance, 24 days annual leave, flexible working arrangements, employee recognition scheme, and learning and development opportunities. Netherlands: Temporary employment for 1 year with a probation period and flexible working; learning and development opportunities; indefinite employment contract based ...

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 ...

across the 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 … workload support, including:Configuring and troubleshooting VS Code, Python, and common CLI/developer environmentsGit-based version control workflowsEndpoint 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 productivityAbility ...

experienced multi-disciplinary team developing and maintaining data science, AI and simulation models, designed to solve client problems.Responsibilities include:Apply data science, machine learning, and AI techniques to extract insights and deliver business value from structured and unstructured data.Develop and maintain data science, AI or Simulation models written … critical thinking skills, with a creative approach to tackling challenges.Proven foundation in statistics, probability, and data analysis techniques.Significant hands-on experience in data science, machine Learning, and AI, with a track record of delivering solutions in a professional setting.Hands-on experience with LLMs, including RAG, fine-tuning ...

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 ...

integrate hybrid/multi‐cloud, AI‐ready compute, and intelligent infrastructure platforms. Develop blueprints for high‐density, GPU‐based workloads and emerging AI/ML infrastructure needs. Ensure alignment of technical solutions with data center space, power, and cooling capacities, incorporating sustainability and energy‐efficiency goals. Compute, Storage & Networking Implementation … such as Dell, HPE, NVIDIA, Cisco, NetApp, and Juniper. Apply deep knowledge of high‐performance computing (HPC) and low‐latency networking to AI/ML solution design. Integrate automation tools (Terraform, Ansible, cloud‐native orchestration) to streamline deployment and management. Data Center Optimization Collaborate with facilities and operations teams ...

looking to build out their current team with multiple hires. They offer a lot of autonomy and excellent progression opportunities with dedicated learning and development time within the role. An ideal candidate will understand real problems, get hands-on where needed, and help customers figure out what’s worth … workshops, running demos, or translating between technical and non-technical stakeholders. Experience Required: A real understanding of AI systems (LLMs and traditional ML), not just surface-level usage The ability to get technical when needed and explain concepts clearly Experience working directly with clients and knowing when to challenge assumptions ...

background, ideally with a degree in physics, engineering, maths, computer science or a related field.Experience with Python, Django, or PostgreSQL.Familiarity with data analytics or machine learning processes.Experience with complex data architectures, including event-sourced data models.The salaryWe expect to pay from 90,000 - 120,000 for this role. … salary reviews.The cultureAt iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective.We're a tech company and believe ...