1,876 to 1,900 of 5,368 Machine Learning Jobs in England

platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. More ❯

platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. More ❯

platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. More ❯

Understand complex and critical business problems, formulates integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition … contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making. You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of … . More than 3 years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R More ❯

platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. More ❯

platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. More ❯

platform is designed from the ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We’re looking for an experienced Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re-define in-store shopping. You'll help help build engaging & intuitive web experiences and the event-driven & real-time backend services that power them. You’ll work across the stack, implementing highly responsive UI components and real-time data flows and APIs on a backend designed for scale & flexibility. More ❯

Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed) Spectrum IT Recruitment More ❯

decision flows, and the criteria for approving, denying, or referring credit applications. Overseeing model development: Work closely with data scientists and credit risk model developers to integrate statistical and machine learning models into the decisioning architecture. This includes models for credit scoring, loss forecasting, and affordability assessments. Ensuring regulatory compliance: Incorporate all relevant regulatory requirements (eg, responsible lending … and internal data warehouses. Cloud platforms: Familiarity with cloud services (AWS, Azure, GCP) and how they can be leveraged to scale decisioning platforms. Advanced modelling: Expertise in statistical modelling, machine learning, and stress-testing methodologies. Financial acumen: Deep understanding of financial products, the credit life cycle, and the risks associated with lending. Credit policy knowledge: Strong grasp of More ❯

Successful candidates will thrive in a fast-paced, high-performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities Consult with global 1000 customers to help them understand, structure, and implement their digital transformation strategies … on selling SaaS solutions to the automotive/manufacturing sector. Prior sales experience in SaaS/Product company and management consulting experience. Experience with and understanding of AI and Machine Learning is highly favorable. Exemplary written and oral communication skills. Excellent interpersonal, planning, and organizational skills. Strong analytical skills. C3 AI provides a competitive compensation package and excellent More ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision … business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques without More ❯

that power model training and deployment. Why this role? Build data systems that enable cutting-edge machine learning at scale Work in a high-calibre team alongside ML researchers and engineers Competitive compensation that matches or exceeds top industry benchmarks Your responsibilities Designing and implementing scalable, high-performance data pipelines to support model training and experimentation Collaborating with … machine learning researchers and software engineers to ensure robust integration of data into ML workflows Writing clean, production-level code to support large-scale model development and deployment Optimising storage, retrieval, and processing for complex datasets, including text-heavy/NLP data Evaluating and adopting new technologies to enhance machine learning infrastructure What you bring Strong … software engineering experience, with a focus on writing high-quality, scalable code Experience in data engineering or data-intensive systems, ideally within ML-driven teams Familiarity with machine learning workflows - especially model training and experimentation Proficiency in programming languages such as Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka More ❯

that power model training and deployment. Why this role? Build data systems that enable cutting-edge machine learning at scale Work in a high-calibre team alongside ML researchers and engineers Competitive compensation that matches or exceeds top industry benchmarks Your responsibilities Designing and implementing scalable, high-performance data pipelines to support model training and experimentation Collaborating with … machine learning researchers and software engineers to ensure robust integration of data into ML workflows Writing clean, production-level code to support large-scale model development and deployment Optimising storage, retrieval, and processing for complex datasets, including text-heavy/NLP data Evaluating and adopting new technologies to enhance machine learning infrastructure What you bring Strong … software engineering experience, with a focus on writing high-quality, scalable code Experience in data engineering or data-intensive systems, ideally within ML-driven teams Familiarity with machine learning workflows - especially model training and experimentation Proficiency in programming languages such as Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka More ❯

Snowflake, Databricks, Spark) and ETL processes. Useful experience; Python or R for advanced analytics, automation, or experimentation support. Knowledge of statistical methods and experimentation (A/B testing) preferred. Machine learning and Generative AI experience is a plus. Experience working with call centre and/or digital support KPIs preferred. Benefits Long contract Hybrid role Free breakfast More ❯

that power model training and deployment. Why this role? Build data systems that enable cutting-edge machine learning at scale Work in a high-calibre team alongside ML researchers and engineers Competitive compensation that matches or exceeds top industry benchmarks Your responsibilities Designing and implementing scalable, high-performance data pipelines to support model training and experimentation Collaborating with … machine learning researchers and software engineers to ensure robust integration of data into ML workflows Writing clean, production-level code to support large-scale model development and deployment Optimising storage, retrieval, and processing for complex datasets, including text-heavy/NLP data Evaluating and adopting new technologies to enhance machine learning infrastructure What you bring Strong … software engineering experience, with a focus on writing high-quality, scalable code Experience in data engineering or data-intensive systems, ideally within ML-driven teams Familiarity with machine learning workflows - especially model training and experimentation Proficiency in programming languages such as Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka More ❯

. 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or … Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir More ❯

. 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or … Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir More ❯

. 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or … Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir More ❯

. 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or … Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir More ❯

. The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or … Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir More ❯

. 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or … Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir More ❯

. 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or … Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir More ❯

. 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or … Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir More ❯

test, and maximize the value of a suite of models ranging from LLM's to propensity, classification, and regression models contribute to end-to-end development and deployment of ML and AI models define best practices for a team of highly talented and experienced Data Scientists have the opportunity to work with stakeholders in a high-pace, agile environment that … SB and drive value into SB in partnership with multiple stakeholders We're looking for someone who is: extraordinary with 7+ years of experience as a Data Scientist/ML Engineer, working on classic ML and Data Science problems as well as Generative AI someone who sees Data Science as a product, not just as a series of models adept … about all forms of technology, particularly versed in deployment and software engineering principles proud to have deployed many real-time models able to help us build the future of ML/AI at SB, both hands-on and by training our larger organization to make the most out of real-time modeling We encourage people of all different backgrounds and More ❯

Excellent Benefits About the Role WRK digital is proud to partner exclusively with a well-known, high-profile organisation on a transformative data journey. We are seeking a talented ML Engineer to play a pivotal role in a major data transformation initiative. This is an exceptional opportunity to join a forward-thinking company as they build an intelligent data platform … in close collaboration with AWS engineers. This role will require the software and dev ops capabilities of an ML Ops engineer to build ML and CI-CD pipelines, proficiency in Infrastructure as Code and Sagemaker pipelines combined with Data Engineering capabilities. Role Summary: Working across projects within the business and the wider industry through the organisation's parent company, you … will have responsibility for: Designing and implementing automation pipelines to operationalise the ML platform and ML pipelines for CI/CD Pipelines Responsibility for mapping out data feeds into/out from the ML platform in collaboration with Solutions Architects and the IT Team Ensuring that the ML systems are developed and scaled reliably in line with the best practices More ❯