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SAP Finance Functional Lead – Global Transformation Programme – Hybrid Working (Stockport). Join a major SAP S/4HANA transformation where Finance shapes the future operating model. • Represent Finance in global design decisions., • Validate end-to-end Finance processes (GL, AP/AR, controlling, assets)., • Drive data readiness and migration., • Lead Finance testing, cutover and go‑live support. High visibility and strategic role within transformation. Real influence over global Finance processes and opportunity to shape design, not just implement. • Strong Finance background with S/4HANA expertise., • Experience in ERP transformation programmes., • In‑depth understanding of Finance processes including GL, AP/AR, fixed assets, controlling, costing, and period close., • Ability to constructively challenge design decisions using practical Finance knowledge., • Strong communication and stakeholder engagement skills., • Desirable Professional Finance qualification (ACA, ACCA, CIMA, CPA)., • Exposure to multiple S/4HANA modules (FI, CO, AA, PS)., • Experience in manufacturing or multi‑entity corporate environments., • Familiarity with SAP Activate methodology. As required for program milestones and deliverables. • Competitive, market‑aligned salary with bonus opportunities and pension contributions., • Flexible working approach to support work‑life balance., • Structured career development with access to learning, progression and international opportunities., • Culture focused on accountability, practical problem solving and continuous improvement. Novanta is proud to be an equal employment opportunity and affirmative action workplace. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, military and veteran status, disability, genetics or any other category protected by federal law or Novanta policy. If you require reasonable adjustments at any stage of the recruitment process, please inform the Talent Acquisition Partner. Please call +1 781-266-5700 if you need a disability accommodation for any part of the employment process. #J-18808-Ljbffr

Job title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy’s business is written as the insurance pricing provider behind household names such as Tesco, Sainsbury’s, O2, Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will use your skills to: • Tune machine learning methods to best leverage our state-of-the-art processing capabilities, • Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment, • Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will enable sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test-driven development (TDD) approaches to maximise performance and robustness, and improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. • Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting, • Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software., • Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible., • Tune machine learning methods for optimal performance., • Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles., • Actively contribute to creating a culture of coding and data excellence, • Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home, • Lead and mentor junior machine learning engineers and share best practices, • Previous experience in tuning and deploying machine learning methods, • Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering, • Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc., • Experience with deploying services in Docker and Kubernetes, • Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches, • Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL), • Experience in source-control software, e.g., GitHub, • Proficient at communicating results in a concise manner both verbally and written, • Experience in data and model monitoring is a plus, • A high level of professional/academic excellence, educated to at least a master’s level in a STEM-based or DS / ML / AI / or mathematical discipline, • Collaborative and team player, • Logical thinker with a professional and positive attitude, • Passion to innovate and improve processes #J-18808-Ljbffr

Qualifications: Registered Nurse (RN) with current registration and licensure in the United Kingdom. Minimum of 1 year experience as a Registered General Nurse, preferably in a healthcare setting.

This opportunity is best suited to an experienced Registered Manager who has previously led a service through improvement, understands the expectations of Ofsted, and has the resilience, confidence and leadership skills to transform a service into one delivering outstanding outcomes. Registered Mana

Good Samaritan offers an attractive benefits package for qualifying full-time and part-time employees. Good Samaritan is an EEO/AA Employer M/F/Disability/Vet. Good Samaritan has a Drug Free Workplace Policy.

AA Euro Group in Manchester is seeking an experienced Ofsted Registered Manager to lead a 3-bed children’s residential home through transformation after a prior inadequate rating.