176 to 200 of 1,361 Machine Learning Jobs in England

own capabilities, contribute to a robust change execution structure, and put ideas into action. Responsibilities Influence and coordinate cross-functional teams to deliver AI/Machine Learning (ML) TM solutions aligning with business needs and regulatory requirements Define and manage overall delivery roadmap, budgets, timelines, dependencies, milestones, and deliverables Oversee end-to-end testing, validation, performance monitoring, and … Drive process improvements and change management, embedding continuous feedback loops from analysis and investigators to refine detection scenarios as well as downstream investigation workflows Manage implementation of AI/ML enhancement into new products or regions, ensuring compliance, consistency and scalability Maintain strong customer and business focus, ensuring all change initiatives deliver value to the organisation, reduce investigator burden and … as Project Leader across complex, multi-stream initiatives (using Agile and/or hybrid methods) in Anti–Money Laundering (AML) and financial crime prevention Comfortable translating complex AI/ML concepts into business language, navigating competing priorities, and maintaining high standards of delivery, transparency, and control Excellent business orientation and understanding of the financial industry, preferably with deep experience in More ❯

constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with … occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) building statistical models and machine learning models using large datasets from multiple resources; (2) writing SQL scripts for analysis and data migration; and (3) applying specialized modelling software including R, Python, or MATLAB. … occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) building statistical models and machine learning models using large datasets from multiple resources; (2) writing SQL scripts for analysis and data migration; and (3) applying specialized modelling software including R, Python, or MATLAB. More ❯

ground up - supporting the Digital Architect and collaborating with developers and stakeholders to deliver AI solutions that create measurable business value. Support the design and development of AI and machine learning models Build and scale AI solutions using Azure cloud services Apply statistical methods to analyse and prepare data Contribute to innovation projects that drive business improvements Collaborate … stakeholders Participate in sprint reviews and demos to showcase progress Document models, data sources, and transformation logic Assist in preparing user manuals and training materials for AI tools Training Machine Learning Engineer Level 6. As artificial intelligence continues to reshape industries, now is the ideal time to join our journey. AI is a rapidly growing area of demand … unique opportunity to be part of that transformation from the ground up, contributing to meaningful projects while developing skills that are increasingly vital in the digital future. Apprenticeship Standard Machine learning engineer (level 6) Training Provider BPP UNIVERSITY LIMITED Working Week Monday to Friday Shifts to be confirmed Expected Duration 1 Year 6 Months Positions Available 1 Closing More ❯

business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at … the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and … model enhancements YOUR SKILLS AND EXPERIENCE : Essential to have experience developing predictive models within a Credit Risk setting SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech SALARY AND BENEFITS Base salary More ❯

business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at … the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and … model enhancements YOUR SKILLS AND EXPERIENCE : Essential to have experience developing predictive models within a Credit Risk setting SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience in a fast-paced environment and ability to work across multiple projects, in a FinTech SALARY AND BENEFITS Base salary More ❯

business are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning techniques. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at … the forefront of the market. THE ROLE Work across a range of credit models within the business, predominantly scorecards and broader decisioning models Using innovative machine learning techniques to further enhance the model suite and drive profitability across the business Own the deployment and implementation of predictive models across the product suite Working closely with the Credit and … to have experience developing predictive models, whether that be in credit risk, insurance or a wider pricing setting SQL and Python experience is essential Essential to have experience using Machine Learning techniques to develop non-linear models Experience mentoring or managing junior team members SALARY AND BENEFITS Base salary from £80-105,000 depending on experience Company pension More ❯

leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys, ensuring compliance … improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex data into clear, actionable insights for business stakeholders Create compelling presentations and visual reports, demonstrating strong storytelling abilities to … findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills and create compelling visual narratives from data Experience with statistical modelling, machine learning techniques, and data visualisation tools such as Power BI Comfortable managing large-scale survey programmes and working with both quantitative and qualitative customer feedback data Strong communication More ❯

Senior ML Engineer, Generative AI Innovation Center Job ID: AWS EMEA SARL (Poland Branch) The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. … Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an Senior ML Engineer on our team, you will work with clients, partners and other AWS teams to drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state … design, development, optimization and productionization of generative AI solutions, algorithms, or technologies PREFERRED QUALIFICATIONS • Bachelor's degree in Computer Science or equivalent • Hands-on experience with at least one ML library or framework • 2+ years of professional experience in developing, deploying or optimizing ML models in production • 5+ years of professional experience in the full software development life cycle, including More ❯

Location: dmg media HQ - High Street Kensington, London, W8 Position: Permanent About the Role We are seeking a motivated ML Engineer/Data Engineer to join our Data Engineering team and help evolve our data and machine learning platforms. In this role, you'll work at the intersection of machine learning and data engineering - designing and … maintaining scalable data pipelines, supporting analysts and stakeholders with reliable datasets, and deploying ML models into production at scale. You'll play a critical role in ensuring both the data foundations and the ML systems are robust, efficient, and impactful.The ideal candidate is pragmatic, collaborative, and passionate about solving complex problems with data and machine learning. Main Responsibilities Collaborate … with data analysts to create ML models from prototype to production Design, build, and maintain data pipelines and feature engineering workflows Deploy, monitor, and optimize ML models and pipelines in production Implement MLOps best practices including CI/CD, experiment tracking, and model monitoring Support and evolve the current data warehouse and cloud infrastructure Ensure data quality, validation, and governance More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

Lead Machine Learning Engineer Up to £100,000 Company: They are an AI-driven climate risk analytics platform that partners with businesses within Insurance … Private Equity, Asset Management and governments to understand and prepare for the physical and transitional impacts of climate change. Responsibilities: Lead, mentor, and grow a high-performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

Delivery Consultant - AI/ML, Professional Services Job ID: AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and … also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities Design and develop robust and scalable AI/ML solutions for business problems Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem Effectively use Foundation Models available on Amazon … When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS 3+ years experience in cloud architecture, a ML practitioner with hands-on implementation of ML systems; building, validating and deploying GenAI models 5+ years of professional experience in a business environment; experience of IT platform implementation in a More ❯

Senior Delivery Consultant - Data Scientist AI/ML, AWS Professional Services Job ID: AWS EMEA SARL (Spain Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet … Science, Engineering, related field, or equivalent experience - 5+ years of experience in cloud architecture and implementation with direct customer (internal or external) interaction - 3+ years of relevant experience in ML solutions design, architecture and development and deployment of large scale machine learning or deep learning models and/or systems into production, including batch and real-time … compute, storage, and virtualization experience - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, SageMaker, Bedrock, and other ML services) - AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learning Associate) - Experience with automation and scripting (e.g., Terraform, Python) Amazon is an equal opportunities employer. We believe More ❯

vision to transform lives with trusted financial services that transcend borders. About the Role: We're looking for a Machine Learning Engineer to design and build scalable ML models that power critical treasury decisions. You will focus on leveraging advanced algorithms-from real time currency exposure forecasting to automated hedging strategies-to improve Remitly's overall risk management … London reporting to the Head of Treasury Analytics and Data Science, and involves collaboration across global teams, requiring strong communication and coordination skills. You Will: Develop, deploy, and monitor ML models that forecast FX exposure, optimise hedging, and improve liquidity planning. Build predictive cash flow models and scenario simulations to inform funding strategies. Enhance our analytics platform with automation, feature … results to stakeholders, including senior leadership. You Have: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. 6+ years of experience in ML Engineering or Data Science (finance, fintech, or treasury a plus). Proficiency in Python-including pandas, scikit learn, TensorFlow/PyTorch, LightGBM/XGBoost-and experience with SQL. Hands on More ❯

AI/ML/Data Science Strategy & Delivery Lead (SM/D) London, United Kingdom req2495 Posted on: 11/09/2025 - Application Deadline: - About Baringa: We set out to build the world's most trusted consulting firm - creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE … members. Typical engagements include: Developing tailored and innovative strategies for transformation and growth through AI, with the ability to then leading the end-to-end delivery of AI/ML projects, from discovery and design through to deployment and monitoring. Identifying AI use cases and building business cases for AI adoption Advising and upskilling clients on AI/ML operating … models, governance frameworks, and responsible AI/ML practices. Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisation's strategy, policies and standards and in some cases, help customers to define new policies, principles and standards Translating business objectives into AI/ML delivery plans, managing cross-functional teams to execute against them. Supporting More ❯

expanding Data and Decision Support Capability. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential data and decision making. You will have the opportunity to deliver a wide range of AI/ML research topics for customers across space, defence, security and commercial … and to maintain strong links with academic partners and grow technical research areas of interest to you. The Data and Decision Support Capability has teams working across AI/ML areas such as RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, autonomy, image analysis and computer vision, generative AI, NLP, knowledge graphs and more. You will … novel concepts and research findings where appropriate. Essential Knowledge, Skills and Experience PhD or equivalent industry experience in a relevant discipline. Several years of expertise in applying AI/ML and/or statistical signal processing to sequential data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep More ❯

Job Title: ML Ops/LLM Ops Engineer Location: Hybrid (potentially 1 day per week in east London) Contract: 6 month Contract Day Rate: £400 per day (Outside IR35) About the Role We are seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning … Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and support production-grade ML services. This is a fast-moving environment where cutting-edge Generative AI technologies are constantly evolving, so adaptability and technical excellence are essential. Key Responsibilities Design and implement tooling and … technologies to support ML models and LLMs in production. Deploy, maintain, and optimise machine learning services within a cloud environment (AWS). Recommend and implement prompt management tools and provide expertise in prompt engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. More ❯