1,126 to 1,150 of 2,509 Machine Learning Jobs in England

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role Lendable is revolutionising the credit card industry by making financial tools accessible, intuitive, and empowering. More ❯

footballers' legs. Ki's mission is 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. It is the fastest More ❯

Backend) Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. The Expedia Group Pricing pillar is tasked with giving More ❯

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting The role in a nutshell We're looking for an experienced, strategic, and data-driven Product Manager (PM More ❯

Aspen, gPROMS, CFD packages). Strong knowledge of Design of Experiment (DoE) Solid understanding of unit operations and process-structure-property-performance relationships in foods. Hands-on experience with machine learning, preferably in Python (scikit-learn, TensorFlow, PyTorch, etc.). Experience with hybrid modelling approaches (combining mechanistic and data-driven models) is a plus. Familiarity with digital twin More ❯

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're looking for an experienced, strategic, and data-driven Product Manager (PM) to join More ❯

Based on your experience and area of interest, you may work on Technology projects in key areas such as: Cloud & Enterprise Modernisation Data Architecture, Transformation & Analytics Automation, Artificial Intelligence & Machine Learning Platform Modernisation Digital Assets & Decentralised Ledgers Digital Transformation Enablement Wealth Technology Technology Strategy, FinTech & Innovation You will collaborate with colleagues from across Accenture in Technology, Operations and More ❯

applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview More ❯

prior experience with architecture & design related tools such as Sparx Systems Enterprise Architect, Abacus, Visio etc. • Knowledge/prior experience with AI solutions (Gen AI/Agentic AI/Machine Learning) preferred • Deep understanding of modern Database Systems such as SQL Server preferred • TOGAF or other methodology accreditation preferred Skills • Strong ability to provide effective communication, status and More ❯

and BI tools (e.g., Tableau) Experience handling large, inconsistent, or non-standard datasets with attention to accuracy and detail Understanding of medallion architecture and related data concepts Knowledge of ML or LLM applications, front-end development (Streamlit, Dash, React), or financial reporting is a plus Typically 3-5 years' experience in a Data Engineer or equivalent role Analytical, proactive, and More ❯

Modellers and Business Analysts. Communicate strategy, vision, and progress to senior stakeholders. Your Profile 5+ years' experience in data product management. Strong grasp of data infrastructure, analytics, engineering, and machine learning. Proven track record of launching and scaling data products. Strategic thinker with tactical execution abilities. Skilled in agile methodologies and stakeholder engagement. Inspirational leader and mentor with excellent More ❯

and BI tools (e.g., Tableau) Experience handling large, inconsistent, or non-standard datasets with attention to accuracy and detail Understanding of medallion architecture and related data concepts Knowledge of ML or LLM applications, front-end development (Streamlit, Dash, React), or financial reporting is a plus Typically 3-5 years' experience in a Data Engineer or equivalent role Analytical, proactive, and More ❯

our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and integrations. Excellent More ❯

our solutions remain competitive yet sustainable. Requirements: Proven experience as a Senior Software Engineer or similar role. Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services. Proficiency in TypeScript and modern JavaScript frameworks. Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring). Experience with contact centre technologies and integrations. Excellent More ❯

sport, but we strive for independent decision-making and taking smart risks.Data Scientist's day-to-day activities will include, but not be limited to:- Perform diagnostic analyses, including ML/statistical modeling and causal inference analyses, to quantify the lift of marketing campaigns.- Analyze marketing campaign performance across channels using sophisticated statistical and econometrics models to derive actionable insights. More ❯

in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed Bonus points if you have More ❯

in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed Bonus points if you have More ❯

of industries. This is a contract position offering the opportunity to lead cutting-edge AI initiatives, collaborate with diverse teams, and deliver tangible business value through advanced analytics and machine learning. About the Role As the Lead Data Scientist , you will: Drive the design and delivery of end-to-end data science solutions with a focus on GenAI and More ❯

services using Azure , with a focus on scalability and performance Integrate APIs, manage data flows (SQL, GraphDB, CosmosDB), and optimise DevOps pipelines Stay ahead of trends in AI/ML tooling, LLM APIs , and modern development practices What You'll Bring 3+ years' experience building enterprise-grade full stack applications Strong backend skills with Python and frameworks like FastAPI or More ❯

services using Azure , with a focus on scalability and performance Integrate APIs, manage data flows (SQL, GraphDB, CosmosDB), and optimise DevOps pipelines Stay ahead of trends in AI/ML tooling, LLM APIs , and modern development practices What You'll Bring 3+ years' experience building enterprise-grade full stack applications Strong backend skills with Python and frameworks like FastAPI or More ❯

services using Azure , with a focus on scalability and performance Integrate APIs, manage data flows (SQL, GraphDB, CosmosDB), and optimise DevOps pipelines Stay ahead of trends in AI/ML tooling, LLM APIs , and modern development practices What You'll Bring 3+ years' experience building enterprise-grade full stack applications Strong backend skills with Python and frameworks like FastAPI or More ❯

For: Experience: Proven track record as a Senior Software Engineer or in a similar role. AWS Expertise: Strong proficiency in AWS services, especially Amazon Lex and other AI/ML services. Programming Skills: Proficient in TypeScript and modern JavaScript frameworks. DevOps Knowledge: Solid understanding of DevOps methodologies and tools (CI/CD, Serverless, Monitoring). Contact Centre Tech: Experience with More ❯

For: Experience: Proven track record as a Senior Software Engineer or in a similar role. AWS Expertise: Strong proficiency in AWS services, especially Amazon Lex and other AI/ML services. Programming Skills: Proficient in TypeScript and modern JavaScript frameworks. DevOps Knowledge: Solid understanding of DevOps methodologies and tools (CI/CD, Serverless, Monitoring). Contact Centre Tech: Experience with More ❯

engagement and communication skills across clinical, business, and technical teams. Experience working on projects related to Community Diagnostic Centres, Integrated Care Systems, or Electronic Patient Records. Understanding of AI, ML, and data analytics applications in healthcare. Exposure to openEHR, IHE profiles, and OpenAPI specifications. TOGAF, BCS, or relevant architecture certification. Experience working in agile, user-centred delivery environments. Experience Minimum More ❯

access controls. Ensure compliance with regulatory standards (e.g., REMIT, EMIR) and internal audit requirements. 5. Innovation & Continuous Improvement Evaluate and adopt new technologies (e.g., streaming platforms, time-series databases, ML pipelines) to enhance data capabilities. Drive automation and optimization of data workflows to improve performance and reduce operational risk. Contribute to the evolution of enterprise data architecture in collaboration with More ❯