576 to 600 of 3,211 Machine Learning Jobs in the UK

intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity … apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly ...

Lead Data Scientist (Classical ML, LLMs & AI Agents) Permanent contract UK Wide (London, Edinburgh, Manchester, Leeds, Birmingham) Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their … client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). Job Description We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements ...

implementation of our Evidence-Based Intervention Library. Develop AI features tailored for product retention and engagement. Implement features involving expectation setting, gamification, and reinforcement learning for the personalization of care. Optimize our recovery data collection processes, focusing on the methods, timing, and predictive modelling of PHQ-9s. Provide occasional … following educational and experience backgrounds: A PhD in Computational Psychiatry or a related field, coupled with demonstrated industry experience in Data Science, Product, or ML engineering. OR a BSc/MSc in a Computational Psychiatry related field (research focus) plus 2 years of experience in ML engineering or Data Science ...

engineering experience, including experience leading technical teams or engineering functions. Strong expertise in TypeScript and Python, with a proven track record of delivering AI, machine learning or data-driven solutions into production, including recommendation engines, intelligent search, ranking systems or LLM-powered applications. Extensive experience building and operating … engineering experience, including experience leading technical teams or engineering functions. Strong expertise in TypeScript and Python, with a proven track record of delivering AI, machine learning or data-driven solutions into production, including recommendation engines, intelligent search, ranking systems or LLM-powered applications. Extensive experience building and operating ...

full lifecycle of your work, from data collection and modelling through prototyping, coding, and delivery to production. You’ll apply both classical ML and modern LLMs to the problem and develop new methods to address it. You’ll work closely with product, other engineering teams, and customer-facing teams … shipping models that made it to production and stayed there. Deep understanding of machine learning fundamentals. Hands-on experience with both classical ML and modern LLMs. Experience with noisy, real-world data. Solid software engineering fundamentals. Experience with software processes in a multi-developer environment: requirements, demos, source ...

Senior ML Engineer – Document Extraction Locations: London (Hybrid, 3 days onsite), Portugal (Hybrid or Remote) Department: Engineering Reports to: Engineering Manager Job Type: Full-Time Job Summary We’re looking for a Senior Software Engineer to join our Document Fraud team, where you’ll build products that delight customers across … documents globally. Lead the technical design of complex features and systems, taking ownership from RFC through implementation to production deployment. Build and optimise production ML systems: develop repeatable pipelines for training, evaluating, and deploying LLM models; implement GPU optimisations for inference; design advanced labeling workflows to improve model accuracy ...

Description – Senior AI/ML Engineer Location: Melbourne (hybrid, 3+ days a week in our Melbourne office) About Artificial Analysis Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. … Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders. The Opportunity We're looking for a Senior AI/ML Engineer to join our team and lead projects in AI benchmarking and analysis. You'll work closely with our founders to build core parts ...

realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment. As a Applied AI ML Lead at JPMorgan Chase within the Accelerator, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. … platforms such as MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, and Kubeflow Exposure to cloud-native microservices architecture Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Exposure to vector stores such as Pinecone ...

scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will Own large new areas within our product Work across backend, frontend … interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have 7+ years of full ...

agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production ...

machine learning solutions across an evolving enterprise data environment. This is a hands‐on role working across the full ML lifecycle, from prototype through to production, focused on delivering scalable, value‐driven outcomes. Experience requirements & Responsibilities Develop and deploy machine learning models to solve business problems. … Translate prototypes into production‐ready solutions. Build and maintain data pipelines and ML infrastructure. Prepare and analyse large datasets, extracting actionable insights. Evaluate, optimise and monitor model performance. Support the design and delivery of AI initiatives. Work within Agile teams and engage with stakeholders across the business. Essential Strong Python ...

Senior AI Engineer - Remote Join a growing AI team building production-grade machine learning and generative AI solutions that solve complex real-world challenges. This is an opportunity to combine AI research, engineering, and innovation in a highly autonomous role. The Company They are a technology business investing … Build RAG pipelines, agentic AI systems, and model evaluation frameworks Work across the full AI lifecycle from problem definition to deployment Apply both classical ML techniques and modern AI approaches Use AI-assisted development tools such as Claude Code, Codex, or similar Help shape technical direction and mentor other engineers ...

Machine Learning and AI. About the Role To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine learning models for real‐world scientific problems. You will drive the development … one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives. In this role you will Design and implement AI/ML‐driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems ...

Role: Senior AI Engineer Location: London Help Shape the Future of AI in National Security This isn't another Machine Learning role focused on optimising click-through rates, ad performance or customer recommendations. This is an opportunity to apply Machine Learning, Generative AI and advanced analytics … engineering culture What You'll Be Working On: Designing and developing Machine Learning and Generative AI solutions Building and deploying production-ready ML models Leading experimentation, testing and model validation activities Developing LLM-powered applications and RAG-based solutions Building scalable ML pipelines using AWS services Implementing MLOps ...

Data Scientist | Financial Services York (2 days per week onsite) Salary Up to £70,000 + 15% Bonus + Benefits Build ML solutions that actually make it into production. We're supporting a major financial services organisation as they build a brand-new enterprise Data Platform and MLOps capability . … testing and evaluating machine learning models Applying techniques such as regression, classification, clustering and forecasting Writing clean, maintainable Python code Working alongside ML Engineers to deploy models into production Monitoring model performance and identifying opportunities for improvement Presenting findings to both technical and non-technical audiences Helping establish ...

Months long The Company They are a data-driven consulting and analytics organisation that helps clients make smarter decisions through advanced measurement, machine learning, and AI solutions. Their teams work across data, analytics, engineering, and consulting disciplines to solve complex business challenges. They foster a collaborative environment where … advanced machine learning and AI solutions that drive measurable business outcomes. Develop, optimise, and deploy machine learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques ...

data teams to deploy and operate AI workloads efficiently. What you'll be doing: Building and managing cloud-native infrastructure to support AI and ML applications. Designing and maintaining Kubernetes environments for production workloads. Developing and managing Infrastructure as Code using Terraform. Supporting CI/CD pipelines and platform automation … initiatives. Improving platform reliability, observability and scalability. Collaborating closely with Software Engineers, Data Engineers and ML teams to optimise deployment workflows and infrastructure performance. Essential experience: Strong commercial experience with Kubernetes. Hands-on experience building Infrastructure as Code using Terraform. Experience working with cloud platforms such as AWS, Azure ...

grow with us and shape the future of media and entertainment solutions? Let’s do it together! About the Job – Gravity AI/ML Engineer The Gravity AI/ML Engineer will play a pivotal role in extending and shaping the machine learning and AI implementation within Gravity … Cloud service. The successful candidate will be able to implement models that to deliver innovate actionable intelligence for Gravity users. Key Responsibilities Develop ML models for: Wi‐Fi performance prediction and classification Anomaly detection in home networks and CPE telemetry Root‐cause analysis for subscriber connectivity issues Optimization of channel ...

responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: * Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring * Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks * Implementing MLOps frameworks, governance … major Consulting firm, and/or in industry * A strong consulting mindset with experience engaging senior stakeholders * Proven experience designing and delivering AI/ML solutions at scale * Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks * Experience with at least one major cloud platform including Azure ...

provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning/data mining algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. Qualified … agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent ...

things well: deliver high-impact technical training to corporate clients, and coach apprentices through to successful completion. If you've got strong AI/ML/Data expertise and enjoy both classroom-style delivery and 1-2-1 learner support, this is a broad, high-visibility role with real autonomy …/Data curriculum evolves. The role: Design and deliver technical learning content across AI, Machine Learning and Data Science — covering Python, ML frameworks, cloud platforms and applied AI use cases Work directly with corporate clients to understand capability gaps and shape tailored, blended learning solutions across ...

other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting‐edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate … support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business‐critical predictions such as client pricing, to handling vast data sets using J.P.Morgan's Cloud capabilities or optimal hedging policies ...

access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world … London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers. Our ML and Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. ...

complex challenges across the electromagnetic environment. Working within Metrea’s Decision Science Laboratory (DESLAB) and automated Solution Engine, you will design, test, and deploy ML-enabled capabilities that go beyond traditional signal processing approaches. This includes exploring the potential of methods such as Transformers, self-supervised learning, probabilistic modelling … design rigorous experiments, evaluate model and algorithm performance, and translate findings into clear technical recommendations Excellent communication skills, with the ability to explain complex ML, RF, statistical, and engineering concepts to technical and non-technical audiences A collaborative mindset, strong technical curiosity, and the ability to work effectively ...

discovery actually usable at scale. What You’ll Do Run and scale Kubernetes (incl. GPU workloads) Own cloud infrastructure and infra-as-code Support ML training & inference pipelines Manage CI/CD, observability, and deployments Handle databases, storage, and migrations Build automation (Python/Bash) Work closely with ML, backend … Looking For 4+ years in platform/DevOps/infra Strong Kubernetes, Docker, cloud (AWS/GCP/Azure) GPU workloads/ML infra Experience designing & operating multi-tenant architectures with strict tenant isolation Familiarity with autoscaling & service isolation Experience with CI/CD, databases, infra-as-code Comfortable debugging ...