526 to 550 of 3,716 Machine Learning Jobs in England

team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. Understanding what drives new enrolments … a function, own the roadmap, and have direct influence on strategy within a high-growth, PE-backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build … experience leading data science or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement More ❯

management tools to uncover patterns, trends, and anomalies. Develop, track, and report on key fraud metrics, presenting findings and recommendations to senior stakeholders. Design and implement data models and machine learning scoring models to drive predictive insights and enhance fraud detection accuracy. Optimise and fine-tune Financial Crime system rule sets in line with risk appetite, balancing risk … with database platforms such as SQL Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and Machine Learning models for risk scoring and predictive analytics. Expertise with Financial Crime platforms such as ACI PRM (Proactive Risk Manager), SIRA, SONAR, ThreatMetrix, Mitek, and CIFAS. In-depth … data investigation and interpretation. Strong communication skills, capable of translating technical findings into actionable business insights. Qualifications Degree in Computer Science, Data Analytics, Mathematics MIS/CIS, AI, or Machine Learning, or equivalent experience. Recognised SQL/Database qualification (Microsoft, Oracle, or equivalent). Relevant certification in Financial Crime, Fraud, or Cybercrime is desirable. Exceptional candidates without formal More ❯

Lead Data Scientist Azure Data Stack Very Attractive Base + Bonus Manchester City Centre Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. A rapidly growing software house in the heart of Manchester is seeking a Senior Data Scientist to spearhead innovation within their Data & Analytics function. If … of state-of-the-art features for the platform. You'll be responsible for guiding the entire modelling lifecycle, from data preparation and analysis to the development of robust machine learning models and the creation of impactful, actionable visualisations. You'll also have the opportunity to shape the team's technical direction and mentor junior colleagues. Key Responsibilities … cleansing, and structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. More ❯

of state-of-the-art features for the platform. You'll be responsible for guiding the entire modelling lifecycle, from data preparation and analysis to the development of robust machine learning models and the creation of impactful, actionable visualisations. You'll also have the opportunity to shape the team's technical direction and mentor junior colleagues. Key Responsibilities … cleansing, and structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. … and development of innovative solutions, pushing the boundaries of what's possible with data science. Establishing and enforcing best practices for data science methodologies and documentation to facilitate team learning and knowledge sharing. Mentoring junior data scientists, fostering their professional development and technical expertise. Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and More ❯

of state-of-the-art features for the platform. You'll be responsible for guiding the entire modelling lifecycle, from data preparation and analysis to the development of robust machine learning models and the creation of impactful, actionable visualisations. You'll also have the opportunity to shape the team's technical direction and mentor junior colleagues. Key Responsibilities … cleansing, and structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. … and development of innovative solutions, pushing the boundaries of what's possible with data science. Establishing and enforcing best practices for data science methodologies and documentation to facilitate team learning and knowledge sharing. Mentoring junior data scientists, fostering their professional development and technical expertise. Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and More ❯

of state-of-the-art features for the platform. You'll be responsible for guiding the entire modelling lifecycle, from data preparation and analysis to the development of robust machine learning models and the creation of impactful, actionable visualisations. You'll also have the opportunity to shape the team's technical direction and mentor junior colleagues. Key Responsibilities … cleansing, and structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. … and development of innovative solutions, pushing the boundaries of what's possible with data science. Establishing and enforcing best practices for data science methodologies and documentation to facilitate team learning and knowledge sharing. Mentoring junior data scientists, fostering their professional development and technical expertise. Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and More ❯

ML pipelines for time-series forecasting. Central London office based £90-120k+ highly negotiable Discretionary bonus 50-100% of salary An opportunity for an elite Machine Learning Engineer to join a very small, top-flight AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. The bonus potential is unparalleled. … The challenges genuinely interesting from a data perspective. You will work closely with AI and Research teams to own the design, implementation, and maintenance of ML pipelines for forecasting. You will prize taking ownership of the work, devising your own plans, impacting directly on the forecast. Responsibilities: Build scalable machine learning pipelines for predominantly time-series forecasting Collaborate … with data scientists and researchers to productionise models Manage cloud-based and on-prem setup Requirements: 25 years experience in ML engineering/MLOps roles Strong proficiency in Python and experience with relevant ML libraries/frameworks (pandas, numpy, sklearn, TensorFlow, PyTorch) Strong understanding and experience in implementing end-to-end ML pipelines (data, training, validation, serving) Experience with ML More ❯

deploying robust AI infrastructure, with a particular focus on knowledge representation, intelligent retrieval systems, and the seamless integration of AI models into production environments. You'll collaborate closely with ML researchers, frontend engineers, and stakeholders across the business to deliver scalable, high-performance applications that bridge structured and unstructured data. Key Responsibilities Design and build intelligent data retrieval systems that … power AI-driven investment tools. Collaborate with ML researchers to prototype, develop, and deploy new AI/ML products. Work with frontend engineers to integrate backend systems into user-facing applications. Lead architectural decisions and contribute to the evolution of AI infrastructure. Participate in the full software development lifecycle, from design through deployment and support. Mentor junior engineers and contribute … incident response. Ideal Candidate Profile 8+ years of professional software engineering experience, with at least 3 years focused on backend AI systems. Strong Python skills and deep familiarity with ML libraries and frameworks. Experience designing and deploying knowledge graphs and working with graph databases (e.g. Neo4j, Amazon Neptune). Proficient in both SQL and NoSQL databases, with a strong understanding More ❯

deploying robust AI infrastructure, with a particular focus on knowledge representation, intelligent retrieval systems, and the seamless integration of AI models into production environments. You'll collaborate closely with ML researchers, frontend engineers, and stakeholders across the business to deliver scalable, high-performance applications that bridge structured and unstructured data. Key Responsibilities Design and build intelligent data retrieval systems that … power AI-driven investment tools. Collaborate with ML researchers to prototype, develop, and deploy new AI/ML products. Work with frontend engineers to integrate backend systems into user-facing applications. Lead architectural decisions and contribute to the evolution of AI infrastructure. Participate in the full software development lifecycle, from design through deployment and support. Mentor junior engineers and contribute … incident response. Ideal Candidate Profile 8+ years of professional software engineering experience, with at least 3 years focused on backend AI systems. Strong Python skills and deep familiarity with ML libraries and frameworks. Experience designing and deploying knowledge graphs and working with graph databases (e.g. Neo4j, Amazon Neptune). Proficient in both SQL and NoSQL databases, with a strong understanding More ❯

deploying robust AI infrastructure, with a particular focus on knowledge representation, intelligent retrieval systems, and the seamless integration of AI models into production environments. You'll collaborate closely with ML researchers, frontend engineers, and stakeholders across the business to deliver scalable, high-performance applications that bridge structured and unstructured data. Key Responsibilities Design and build intelligent data retrieval systems that … power AI-driven investment tools. Collaborate with ML researchers to prototype, develop, and deploy new AI/ML products. Work with frontend engineers to integrate backend systems into user-facing applications. Lead architectural decisions and contribute to the evolution of AI infrastructure. Participate in the full software development lifecycle, from design through deployment and support. Mentor junior engineers and contribute … incident response. Ideal Candidate Profile 8+ years of professional software engineering experience, with at least 3 years focused on backend AI systems. Strong Python skills and deep familiarity with ML libraries and frameworks. Experience designing and deploying knowledge graphs and working with graph databases (e.g. Neo4j, Amazon Neptune). Proficient in both SQL and NoSQL databases, with a strong understanding More ❯

the primary architect of their culture. Your mission is to build an environment of high psychological safety where curiosity and experimentation thrive, and where intelligent failures are celebrated as learning opportunities. You will be the coach and mentor who guides the team through the inherent ambiguity of research and discovery, empowering them to tackle immense technical challenges and deliver … fairness and ethical AI are at the core of everything your team creates. What will you bring to the team? Hard skills Technical Expertise: Advanced proficiency in data science, machine learning, and/or operations research methodologies, with extensive experience applying these techniques in production environments. Project Leadership : Proven experience leading complex technical projects, with a track record … in Python and SQL, with a strong grasp of software development best practices (testing, git, code reviews). Real-Time Systems Experience : Experience with real-time data integration and machine learning frameworks is highly beneficial. Modern AI Acumen : Familiarity with the principles and applications of modern AI, including Large Language Models (LLMs) and generative AI, is a strong More ❯

the primary architect of their culture. Your mission is to build an environment of high psychological safety where curiosity and experimentation thrive, and where intelligent failures are celebrated as learning opportunities. You will be the coach and mentor who guides the team through the inherent ambiguity of research and discovery, empowering them to tackle immense technical challenges and deliver … fairness and ethical AI are at the core of everything your team creates. What will you bring to the team? Hard skills: Technical Expertise: Advanced proficiency in data science, machine learning, and/or operations research methodologies, with extensive experience applying these techniques in production environments. Project Leadership : Proven experience leading complex technical projects, with a track record … in Python and SQL, with a strong grasp of software development best practices (testing, git, code reviews). Real-Time Systems Experience : Experience with real-time data integration and machine learning frameworks is highly beneficial. Modern AI Acumen : Familiarity with the principles and applications of modern AI, including Large Language Models (LLMs) and generative AI, is a strong More ❯

working together to improve all areas of the team—from car design and manufacturing to performance analysis at the track. The Role · Support the development, testing, and deployment of machine learning and data science solutions under the guidance of senior team members. · Assist in extracting insights from large datasets to improve car performance and operational efficiency. · Contribute to … love to hear from you! We are looking for individuals who: · Have experience with Python and its data science ecosystem (e.g., pandas, numpy, scikit-learn). · Are familiar with machine learning concepts and techniques (e.g., regression, classification, neural networks). · Have a proactive attitude and a willingness to learn in a fast-paced, high-performance environment. · Possess strong More ❯

SQL, and Python. Techniques for visualizing data to support decision-making and product development. Collaborating with cross-functional teams to support customer integrations and internal analytics. Applying AI and machine learning concepts to enhance data processing and insight generation. Understanding data flows and integration strategies within insurance and analytics platforms. Presenting findings and recommendations to stakeholders in a … an analytical mindset, passion for business, and a desire to innovate. Computer Science, Data Science, Statistics, Mathematics, Engineering majors, a plus. Experience with Python, SQL, and Excel; familiarity with machine learning libraries. A history of tackling projects with a quantitative lens, and a desire for data-driven insights. Verisk serves the insurance vertical so an interest or past … a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we've been recognized by The Wall Street Journal More ❯

working together to improve all areas of the team—from car design and manufacturing to performance analysis at the track. The Role · Support the development, testing, and deployment of machine learning and data science solutions under the guidance of senior team members. · Assist in extracting insights from large datasets to improve car performance and operational efficiency. · Contribute to … love to hear from you! We are looking for individuals who: · Have experience with Python and its data science ecosystem (e.g., pandas, numpy, scikit-learn). · Are familiar with machine learning concepts and techniques (e.g., regression, classification, neural networks). · Have a proactive attitude and a willingness to learn in a fast-paced, high-performance environment. · Possess strong More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

and motivated Senior Data Engineer to join our growing data team. In this role, you'll architect and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean … as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory Skills Description: - 5+ years of experience in data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially More ❯

large datasets. Technical Skills Proficiency in cloud computing and python programming. Familiarity with Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. … Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯