401 to 425 of 1,129 Machine Learning Jobs in England

reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate … optimise all models, identifying areas for development Work end-to-end both building and deploying models Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements Stay updated on emerging technologies, trends, to recommend and implement innovative ...

Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks … ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives . Collaborative, adaptable, and able to navigate complex stakeholder environments . To apply: Please reach out via LinkedIn ...

strategy and delivering innovative solutions across large-scale environments. Key Responsibilities AI Solution Architecture Design and architect enterprise-grade GenAI, Agentic AI and ML solutions aligned to client business goals. Build scalable architectures using modern cloud platforms ( Azure, AWS or GCP ). Lead the design of RAG-based solutions … Weaviate, FAISS). Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies . Experience building production-grade AI systems using Python and ML frameworks (PyTorch, TensorFlow). Knowledge of MLOps/LLMOps practices and tooling (MLflow, Kubeflow, Docker, Kubernetes). Experience delivering AI solutions on AWS, Azure ...

deliver impactful analytics solutions using Power BI and Azure Analysis Services. Lead a team of analytics professionals, mentoring and setting best practices. Introduce machine learning and AI to support predictive insights. Collaborate with stakeholders to drive data-informed decisions across the organisation. What Youll Bring Proven experience … analytics, BI, or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field ...

data-focused programmes. Strong understanding of Agile delivery frameworks (Scrum, Kanban, or scaled agile). Experience delivering data platforms, analytics solutions, or AI/ML products. Comfortable working in consulting or client-facing environments. Ability to manage multiple stakeholders across technical and business teams. Strong communication, organisation, and leadership skills. … Experience Experience working with Data Engineering or Data Science teams. Exposure to cloud platforms such as Azure, AWS, or GCP. Experience delivering data platforms, machine learning solutions, or analytics products. Previous experience working in government or regulated environments. Security Clearance Due to the nature of some client engagements ...

optimisation , often delivered using modern platforms such as Palantir Foundry alongside Python and cloud technologies. What You'll Be Doing Building optimisation models and ML solutions to support decision-making Applying techniques such as mixed integer programming, simulation and advanced analytics Developing production-ready pipelines and models Working directly with … deliver value Delivering projects in an Agile (Discovery Alpha Beta Live) environment What They're Looking For Strong Python and data science/machine learning experience Exposure to optimisation or operations research (e.g. MIP, linear/non-linear programming, solvers like Gurobi, CPLEX, OR-Tools) Experience delivering ...

challenge, generate innovation and support delivery from internal teams.Technical Leadership You'll guide teams in applying advanced analytical techniques including statistical modelling, predictive analytics, machine learning, and presentation of impactful insight. This involves designing analytical solutions, ensuring methodological rigor, and translating complex technical concepts into actionable business insight … within the analytics practice, you'll mentor analysts and senior analysts, providing technical guidance and professional development. You'll foster a culture of continuous learning and analytical excellence while helping team members grow their consulting and technical skills. Set ambitious standards for delivery quality and consultant performance, fostering ...

bridge between engineering, product, and commercial. What I’m Looking For 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments. Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments … continuous delivery, and high-performing lean teams. People-first leadership style, with a proven ability to build and nurture high-performing teams. Exposure to machine learning, NLP, or financial data products is highly advantageous. Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter. ...

Retrieval Augmented Generation) models Provide high‐quality structured data for AI-powered quoting, forecasting, and scoring Partner with AI Engineers on data requirements for ML and Gen‐AI use cases Stakeholder Collaboration Work with Product Owners across digital, booking, and finance domains Constructively challenge and guide stakeholders to refine data … data quality tools (Great Expectations, Monte Carlo, etc.) BI tools such as Power BI Experience consolidating data during M&A Understanding of AI/ML data requirements (RAG, embeddings, semantic search) Experience preparing datasets for machine learning Knowledge of cloud AI services ✨ What’s on Offer A dynamic ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

implement scalable data platforms using the Databricks Lakehouse architecture. The role involves building modern data pipelines, optimizing data platforms, and enabling analytics and machine learning capabilities across the organization. Key Responsibilities Design and implement data architectures on the Databricks Lakehouse Platform Build and optimize ETL/ELT pipelines ...

experience building AI systems from scratch and deploying LLMs in production Proficiency in Python Academic Excellence: BSc, MSc or PhD in Computer Science, AI, Machine Learning, or related stem field from a top university Comfortable in chaos and thrive in fast paced environments Bonus points: Experience ...

Science, Statistics, Mathematics, or a related field (Master’s or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication ...

Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, and SQL. Experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Strong analytical skills with a knack for problem-solving and critical thinking. Excellent communication ...

work independently and manage priorities effectively. Preferred Skills Experience working with low-resource languages . Familiarity with international language classification standards. Experience collaborating with machine learning engineers, NLP researchers, or data scientists . Background in corpus linguistics or linguistic fieldwork . Experience contributing to academic or technical research ...

record of working cross-functionally and influencing stakeholders Nice to Have Combination of vendor + banking/financial services experience Experience applying AI/machine learning within fraud or risk environments Exposure to fast-paced, high-growth or product-focused businesses What's on Offer Salary from ...

generative AI solutions within the Microsoft ecosystem . This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have ...

platforms such as Microsoft, AWS, Google or OpenAI technologies Practical exposure to Generative AI and large language model frameworks Skills in data analysis and machine learning tooling (Python, SQL, R or similar) Confidence engaging with senior stakeholders and translating technical concepts into clear business value Experience contributing ...

analytical data processing Experience working with non-relational or semi-structured data sources Understanding of modern data modelling for analytics and reporting Awareness of machine learning workflows or advanced analytics use cases Understanding of networking, security and access control within AWS or Azure Awareness of data governance ...

Data Engineering or equivalent professional accreditation such as CEng. Experience with graph databases and advanced query languages (e.g., Neo4j, Gremlin). Knowledge of machine learning data pipelines and MLOps practices. Familiarity with data virtualisation and data mesh concepts. Hands-on experience with containerisation and orchestration (Docker, Kubernetes ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

business recommendations. Strong communication and stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it for you? Joining BNP Paribas Personal Finance means becoming part ...

Actions Work with Data Engineering team to implement robust and trustworthy data to support high-performance Kafka streams and predictive models Deploy and maintain machine learning models as APIs for use in our live environments Employ a variety of languages and tools (e.g. scripting languages) to develop ...