51 to 75 of 208 Machine Learning Jobs in Manchester

insurance products. Analyse customer behaviour, price elasticity, retention, and demand to identify opportunities for profitable growth. Develop and enhance predictive models using statistical and machine learning techniques. Support the development of customer lifetime value and retention frameworks to improve pricing decisions. Utilise pricing, competitor, and behavioural data … commercially focused mindset with the ability to balance technical excellence with business outcomes. Technical Skills Python SQL SAS R Snowflake Databricks Power BI Tableau Machine Learning and Predictive Modelling Techniques GLMs, GBMs, Demand and Behavioural Modelling What's on Offer? Opportunity to influence pricing strategy at a senior ...

production grade machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/LLM techniques to solve real business problems, not just exploratory analysis. Experimentation and measurement: Design and run experiments (A/… model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI use cases, reflecting where ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

used by analysts worldwide with direct visibility to your contributions • Modern technology stack – Work with Python, React, AWS, Kubernetes, and emerging AI technologies • Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks • Flexible environment – Work from our Manchester office with hybrid flexibility, competitive … cross-functional teams and communicate technical concepts clearly What Would Make You Stand Out: • AI and Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications • Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow ...

Syrup platform and the family of forecasting and predictive services that power Anaplan’s verticalized solutions. The team builds and operates the ML platform, forecasting engines, and data processing services that deliver demand forecasting, inventory recommendations, and predictive insights to enterprise customers in retail, supply chain, and beyond. This role … within Software Engineering, Principal or Architect‐level role owning systems at scale. Deep expertise in Python and in designing and operating high‐availability, production ML services. Hands‐on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres. Strong production experience with ...

YOUR ROLE Assessing and implementing robust MLOps framework, governance and best practices as per industry standards Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management Delivering solutions using the latest GenAI … requirements and build out solutions. Experience of designing and implementing MLOps strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production. Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks. Experience designing ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

Datalex is seeking a Senior Software Engineer specializing in Python-based AI/ML development to design and deploy machine learning features. The role involves building APIs, collaborating on CI/CD, and mentoring Junior Engineers. Candidates should have 8+ years of experience, strong knowledge of AI technologies ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Education Bachelors degree or equivalent experience; Masters degree is a plus Responsibilities ...

enabling our teams to be involved in different and varied projects and audit analytics delivery including bespoke and standardised data analytics, governance, advanced (AI-ML) analytics, end-user tools development and support, as well as robotic process automation (RPA) services. About The Role The role of an auditor ...

projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key. Right now, our Data Scientists are working … expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. Discover more about our Analytics Community in our blog and explore ...

industry would be a distinct advantage. ResponsibilitiesDesign, implement, and maintain Python services within our pricing platform, including data-processing logic and the integration of ML/optimisation models. Write clean, efficient, well-tested code for backend logic and data services. Build and optimise data pipelines on AWS to collect, transform … software architecture. Strong problem-solving and analytical skills. Good presentation and teamwork skills. Comfortable working in both Agile and Waterfall methodologies. DesirableFamiliarity with ML/optimisation frameworks used to productionise pricing models. Git for version control, with Bitbucket for collaboration, and experience configuring CI/CD pipelines (Bitbucket Pipelines ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … would be great if you had any of the following... Exposure to MLOps or SMLOps tooling and model lifecycle management Experience supporting AI/ML pipelines, feature engineering or analytics platforms Knowledge of AI governance and secure adoption of generative or agentic AI Experience working in security-focused or regulated ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Education Bachelor’s degree or equivalet experience; Master’s degree is a plus ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience.· Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks.· Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow.· Experience delivering ...

First Central Services UK Ltd seeks a Lead Machine Learning & AI Engineer to drive production-ready ML/AI capabilities within the Data & Analytics function. You will coach a small team of ML Ops Engineers and AI engineers while collaborating with data science, pricing, and software teams. ...

hiring a Machine Learning Engineer in a hybrid UK-based role. You will join a cross-functional Data Science team to take ML models from research to production, collaborating with Data Scientists, Data Engineers and Software Engineers to build scalable AI solutions. The role emphasises software engineering, cloud … technologies, and productionising ML in an enterprise setting, with responsibilities spanning end-to-end ML workflows, #J-18808-Ljbffr ...

validation practices. Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively. Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts. Insurance or financial services experience (CII or working towards, desirable).If you are excited about this role but your experience does … request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact. Learning and innovating today, striving for sustainable societies and business tomorrow At Munich Re Specialty – Global Markets our approach to ESG is underpinned by our desire ...

building a governed, interoperable data estate that enables self‐service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. The Senior Data Reporting Analyst owns the provision of trusted, accurate and timely reporting, partnering directly ...

privacy‐tooling roadmap (e.g., Purview/BigID/Collibra/OneTrust) and integration with data platforms, establish controls for AI/ML across the model lifecycle aligned to Model Risk Management, track regulatory/market trends, and translate them into actionable roadmaps with clear OKRs/KRIs and senior‐level ...

Supporting practice development through offering development, recruitment, campaign development, internal think‐tanks, whitepapers, operational excellence and capability building across Data, AI and Agentic AI. Learning & Development - Continuously developing your own expertise in emerging data and AI technologies and consulting leadership through training, certifications and applied innovation, while fostering … culture of continuous learning across the practice. YOUR PROFILE We are looking for a T‐shaped leader: broad enough to run an enterprise programme end to end, and deep enough in data and AI to be a genuine peer to the engineers and architects you lead. What matters most ...

Supporting practice development through offering development, recruitment, campaign development, internal think-tanks, whitepapers, operational excellence and capability building across Data, AI and Agentic AI. • Learning & Development - Continuously developing your own expertise in emerging data and AI technologies and consulting leadership through training, certifications and applied innovation, while fostering … culture of continuous learning across the practice. YOUR PROFILE We are looking for a T-shaped leader: broad enough to run an enterprise programme end to end, and deep enough in data and AI to be a genuine peer to the engineers and architects you lead. What matters most ...

firm to have a dedicated AI department. Since then, we have been experimenting with a broader range of ML techniques, extending those tools already in use, and productionising new ones through our growing data science & engineering teams. We believe that we are well positioned to leverage Fletchers’ unique legal-medical … building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers 35 hours working week Bonus scheme (subject to targets being met) 35 days holiday ...

Data Engineers, you'll combine hands-on technical expertise with technical leadership, mentoring colleagues while designing and delivering scalable data solutions that support analytics, machine learning and real-time reporting. Working closely with Data Scientists, Analysts and stakeholders across Technology and the wider business, you'll develop modern … Escape Lounges and Airport Parking Rail and retail discounts 2 paid volunteering days per year Access to health & wellbeing events, ID&E activities and learning opportunities Formal and informal development options, including mentoring programmes and learning grants Enhanced parental leave (T&Cs apply) Equal Opportunties and Reasonable Adjustments ...