676 to 700 of 4,046 Machine Learning Jobs in England

ML (Machine Learning) Engineer at Checkout.com in the Disputes ML team, you will contribute to the development of our brand‐new ML‐driven dispute optimisation suite. This is a unique opportunity to get in on the ground floor of an expanding area, grow alongside top‐tier engineers … dispute systems. Collaborate with platform and backend engineers to integrate models seamlessly. Experience and qualifications 5+ years of experience as an MLOps/ML Engineer. High proficiency in writing clear, production‐ready Python code. Experience with production ML models (online or offline) and standard MLOps practices. Experience with monitoring ...

learning roles talk about building models. This one is about making sure they actually work in production. You'll join a newly formed ML Engineering team within a large, established financial services business. The company already has data scientists developing models; it now needs the engineering capability to deploy … models. Deploy models in real-time and batch environments. Develop CI/CD pipelines that automate model testing and deployment. Help automate the full ML lifecycle-from dataset creation and training through to evaluation, deployment and monitoring. Build and improve the company's model registry. Monitor production ML services ...

outputs are scalable, governed and aligned to wider roadmaps. Bring external thinking into B&Q by staying close to developments in retail, customer analytics, machine learning and AI. Drive measurable value for B&Q, TradePoint and our customers through better use of data science What we need: Proven … experience leading data science delivery in a commercial environment. Experience managing, coaching or developing technical specialists. Strong technical understanding of machine learning, statistics and applied analytics. Strong practical knowledge of Python, with strong SQL capability. Experience working with customer, behavioural, transactional or commercial data. Experience developing models such ...

across banking and product organizationsExperience in financial services with exposure to capital markets, corporate banking, or payments.Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor’s degree in computer science, Statistics, Engineering or related fieldsPreferred Qualifications, Capabilities, and SkillsExperience … financial services with exposure to capital markets, corporate banking, or payments.Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor’s degree in computer science, Statistics, Engineering or related fieldsJ.P. Morgan is a global leader in financial services, providing strategic advice ...

Help accelerate how teams across JPMorganChase use artificial intelligence to deliver measurable impact. In this role, you will shape firmwide learning, awareness, and change efforts that build practical AI literacy and support responsible adoption. You will partner with stakeholders across the Commercial & Investment Bank to create clear, engaging enablement … communications. You will also help make AI tools and information easier to find and understand through a centralized inventory. If you enjoy combining learning, communications, and emerging technology, this is a high-visibility opportunity to grow your impact.As an AI Knowledge Enablement Senior Associate in the AI Enablement team ...

Azure Desirable Docker and Kubernetes experience Experience with AWS, or Google Cloud Knowledge of event-driven architectures and message queues Exposure to data engineering, machine learning, or AI platforms Experience leading technical projects or mentoring engineers What We Offer Competitive salary and performance bonus Flexible and hybrid working … arrangements Private healthcare Pension contribution Learning and development budget Modern equipment and tools Clear progression opportunities into Lead and Principal Engineering roles Cooperative, inclusive, and high-performing engineering culture RSG Plc is acting as an Employment Agency in relation to this vacancy. ...

product organizations Experience in financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields Preferred Qualifications, Capabilities, and Skills Experience … financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields ABOUT US J.P. Morgan is a global leader in financial ...

specific technical skills. This role is based out of our London office. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive … quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify ...

create measurable value.Rapidly prototype, systematically test and iterate solutions with customers, incorporating user feedback to improve value, usability and adoption.Apply data science, machine learning and AI techniques, including modern generative AI and agentic approaches where appropriate, to solve customer problems.Combine ICIS data, domain expertise and customer context … Experience Required:3-5 years of experience in Data Science, Applied AI, Analytics or a related field.Proven track record of developing and delivering analytical, machine learning or AI solutions from concept through deployment.Experience evaluating and applying modern AI approaches, including large language models, retrieval-based systems and agentic ...

Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from … high-scale technology company, marketplace, e-commerce business, or travel technology organisation.A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles.Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products.Experience applying AI, Large Language Models ...

Expert Level proficiency in Python and SQL. Deep, hands‐on experience with statistical modeling, (quasi) experimentation, multi‐arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from … high-scale technology company, marketplace, e-commerce business, or travel technology organisation. A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles. Experience building and scaling experimentation platforms, measurement frameworks, self‐service capabilities, or data products. Experience applying ...

Defining engineering standards, data models and best practice·Driving CI/CD, automation and modern engineering practices·Collaborating with AI engineers to productionise machine learning and AI solutions·Exploring how AI can enhance engineering productivity, quality and deliveryWhat you'll bring·Strong experience with Python and SQL·Expertise … data products solving real business challenges·Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouragedIf you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology ...

Databricks.Experience designing data lakes, lakehouses or large-scale cloud migration programmes.Familiarity with graph technologies, semantic data modelling, knowledge graphs or architectures supporting AI and machine learning workloads.Financial Services experience, including working with senior stakeholders in complex regulatory environments.Experience leading architecture teams, developing reusable architecture patterns or contributing … propositions and thought leadership.Why Join CapcoDeliver high-impact technology solutions for Tier 1 financial institutions.Work in a collaborative, flat, and entrepreneurial consulting culture.Access continuous learning, training, and industry certifications.Be part of a team shaping the future of digital financial services.Help shape the future of digital transformation across FS & Energy.BenefitsCore ...

APIs and frameworks (e.g., Azure OpenAI, Bedrock, Vertex, LangChain, Semantic Kernel) and patterns such as RAG, agentic workflows, and tool/function calling. Machine Learning Expertise: Hands-on machine learning experience spanning model development, evaluation, deployment, and operationalization, with a focus on enterprise AI solutions, predictive ...

Firm the company is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts for over 53,000 financial instruments across equities, fixed income, currencies, commodities and crypto. It uses those forecasts to trade on exchanges and alternative trading venues … evolved considerably over the last 10 years, from econometric methods that gave our company its name, to trees, to neural networks, to modern deep learning architectures. the company has an unrivalled level of computational resources in the trading industry, with a growing research cluster currently containing well over ...

build robust ETL/ELT pipelines and analytics-ready data solutions. Collaborate with Data Scientists and Engineers while also gaining exposure to AI and Machine Learning initiatives.**Key skills required for this role include:**- Proficiency in Databricks and experience with Medallion Architecture.- Strong programming skills in Python ...

means more to make an impact that matters through challenging projects which demand ambitious innovation and thought leadership. Develop cutting-edge AI and machine learning solutions that drive business impact at scale. Work at the intersection of data science, engineering, and commercial strategy to shape intelligent decision-making. … Lead innovation through Generative AI, advanced analytics, and modern machine learning technologies. The Role As a Google AI Forward Deployed Engineer , you will function as an embedded builder-consultant within customer accounts, translating AI strategy into production-ready solutions. You will work directly within customer environments to architect ...

high-ownership role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity … expected to deliver them end-to-end, from first principles through to being deployment-ready and beyond.WHAT YOU'LL BE DOINGEnd-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function ...

with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers. What … understanding of regulatory, ethical, accuracy and security considerations for developing autonomous agentic systems (Desirable): Degree, Masters or Doctorate in Software Engineering, Computer Science or ML/AI related subject Benefits 33 days annual leave (25 days annual leave plus 8 public holidays) Pension matching up to 5% Unlimited mental health ...

environments.Desirable Skills - Senior Software DeveloperExperience with Azure cloud technologies.Knowledge of microservices and event driven architectures.Experience working within UK Public Sector environments.Exposure to AI or Machine Learning technologies. If you are interested in this Senior Software Developer opportunity, please apply with a copy of your most up to date ...

path doesn’t stop here. Whether you want to deepen your expertise, broaden your skills, or move into leadership, we’ll support you with learning programs, mentorship, and opportunities to take on new challenges. At Kyndryl, your future is yours to shape.Who You AreYou’re good at what … application refactoringHands-on experience designing and delivering AI and agentic AI solutions on cloud, including the underlying data and platform foundations, the AI/ML services across AWS, Azure, and Google Cloud, and how generative and agentic workloads change architecture, security, and costExperience applying AI to the delivery itself, using ...

existing platforms and tools to collect and analyse data, deploying the latest in AI technology, strategy and practiceEmploy a variety of qualitative, statistical and machine learning-oriented approaches to investigate and interpret data Work with other data scientists to build and support custom solutions, applications and processing pipelinesInterrogate … your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You’ll be assigned a dedicated coach ...

test, and maximise the value of models ranging from LLMs to propensity and classification. Contribute to the end-to-end development and deployment of ML and AI models to prove and deliver tangible commercial value. Act as a technical bridge between Data Science and MLOps to embed best practice deployment … GenAI for maximum impact.We’re looking for someone who is: An experienced practitioner: You have 5+ years of experience as a Data Scientist or ML Engineer, covering both classic ML and Generative AI. A proven builder: You’ve successfully created multiple Data Science products that have moved the needle. ...

event assessment and moreUse existing platforms, tools and APIs to collect and analyse data, both structured and unstructured, including text, images and videoUse statistics, machine learning techniques and AI to solve complex challenges for our clients, especially regarding their communication and reputation management effortsBuild tools, dashboards, pipelines … your professional development and we have developed a range of programs focused on fostering leadership, growth and development opportunities. We aim to promote continuous learning and individual skills development through on-the-job learning, self-guided professional development courses and certifications. You’ll be assigned a dedicated coach ...

test, and maximise the value of models ranging from LLMs to propensity and classification. Contribute to the end-to-end development and deployment of ML and AI models to prove and deliver tangible commercial value. Act as a technical bridge between Data Science and MLOps to embed best practice deployment … maximum impact. We're looking for someone who is: An experienced practitioner: You have 5+ years of experience as a Data Scientist or ML Engineer, covering both classic ML and Generative AI. A proven builder: You've successfully created multiple Data Science products that have moved the needle. A deployment ...