576 to 600 of 3,713 Machine Learning Jobs in England

the following skills: Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is More ❯

the following skills: Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is More ❯

the following skills: Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is More ❯

the following skills: Strong proficiency with customer data platforms (e.g., Segment, Treasure Data, Tealium, Salesforce CDP, Adobe Experience Platform). Certification in CDP technologies or related tools. Knowledge of machine learning and predictive modelling. Appreciation of marketing automation platforms (e.g., HubSpot, Marketo). Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is More ❯

show results Your contributions will be crucial for creating cutting-edge products and carrying out advanced research and development withinOliver Wyman. Notable DNA projects include: Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here for more information Exploring novel GenAI architectures and validation methods for customer-facing tools in the … chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – click here for more information Why Join us? Expect a steep learning curve, as no two weeks are ever the same: You'll have access to the latest technologies and constantly expand your toolkit with each new endeavour You'll be More ❯

s data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. Collaborate with cross-functional teams to integrate More ❯

s data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. Collaborate with cross-functional teams to integrate More ❯

Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance More ❯

Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance More ❯

Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance More ❯

Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance More ❯

Responsibilities Design, build, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL-based solutions. Develop and optimise ETL/ELT workflows to support analytics, reporting, and machine learning use cases. Work closely with clients to understand data requirements and translate them into robust technical solutions. Implement best practices for data modelling, data quality, and performance More ❯

Model Lifecycle Management : Own the full lifecycle — training, evaluation, deployment, monitoring, and retraining. Neural Network Design : Push the boundaries of NLP, computer vision, and recommendation systems with custom deep learning architectures. Enterprise Integration : Embed Gen AI into core business platforms via APIs, microservices, and cloud-native deployments. Responsible AI : Champion ethical, transparent, and bias-aware AI practices across all … in R, Java, or C++ Hands-on with TensorFlow, PyTorch, Keras, Hugging Face, LangChain Cloud-native mindset: AWS, Azure, GCP + Docker, Kubernetes, CI/CD Deep understanding of ML/DL algorithms, model evaluation, and data engineering Strong communicator and collaborator across technical and business teams Bonus Points Experience with NVIDIA CUDA, cuDNN, TensorRT, and GPU acceleration Familiarity with More ❯

manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data … GCP tools (including CloudRun) to manage and process large-scale datasets efficiently. Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor junior ML engineers through code reviews, technical guidance, and project planning. Work with software engineers to productionise models (deployment and pipelines handled by the engineering team). Stay ahead of emerging ML … experience in applied machine learning (preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance More ❯

manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data … GCP tools (including CloudRun) to manage and process large-scale datasets efficiently. Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor junior ML engineers through code reviews, technical guidance, and project planning. Work with software engineers to productionise models (deployment and pipelines handled by the engineering team). Stay ahead of emerging ML … experience in applied machine learning (preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance More ❯

manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data … GCP tools (including CloudRun) to manage and process large-scale datasets efficiently. Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor junior ML engineers through code reviews, technical guidance, and project planning. Work with software engineers to productionise models (deployment and pipelines handled by the engineering team). Stay ahead of emerging ML … experience in applied machine learning (preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance More ❯

competitive edge. The Senior Data Engineer will be required to build relationships and collaborate with key stakeholders, responsibilities include: Architect and implement efficient data pipelines that enable our Quants, ML, Analytics and Operation teams to quickly build solutions without having to spend considerable time wrangling with data. Drive technical decisions, evaluate new technologies and tools, and contribute to the continuous … time trading data feeds. Benefits & perks: Competitive salary Vitality health insurance and dental cover 38 days of holiday (including bank holidays) Pension scheme Annual Bluecrest health checks A personal learning & development budget of £5000 Free gym membership Specsavers vouchers Enhanced family leave Cycle to Work scheme Credited Deliveroo dinner account Office massage therapy Freshly served office breakfast twice a More ❯

of customer analytics, segmentation and targeting, promotional resource allocation, field force sizing, omnichannel analysis, etc. Effectively collaborate on the delivery of advanced analytics including predictive modelling, data science and machine learning, as needed Seek continuous improvement, including identification of new capabilities and/or data to maximize Pfizer’s competitive advantage Performance Management/Forecasting/Operating Plan More ❯

manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data … GCP tools (including CloudRun) to manage and process large-scale datasets efficiently. Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor junior ML engineers through code reviews, technical guidance, and project planning. Work with software engineers to productionise models (deployment and pipelines handled by the engineering team). Stay ahead of emerging ML … experience in applied machine learning (preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance More ❯

manage risk. The Role As a Senior Machine Learning Engineer, you’ll take technical ownership of our credit risk model suite — iterating, optimising, and deploying production-ready ML systems that drive real-world impact. You’ll remain hands-on in design and experimentation while mentoring 1–2 junior ML engineers. You’ll collaborate closely with credit analysts, data … GCP tools (including CloudRun) to manage and process large-scale datasets efficiently. Ensure models are explainable and compliant, collaborating with credit and risk teams to interpret outcomes. Mentor junior ML engineers through code reviews, technical guidance, and project planning. Work with software engineers to productionise models (deployment and pipelines handled by the engineering team). Stay ahead of emerging ML … experience in applied machine learning (preferably in financial services or another regulated domain). Proven ability to design, train, and evaluate models using Python, XGBoost, and related ML frameworks. Strong experience with SQL and BigQuery; familiarity with GCP infrastructure. Comfortable working end-to-end from data exploration through validation and interpretation. Understanding of explainable AI and model governance 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯