SMT is a leading full-service distribution company specializing in machinery and trucks. Our focus is on providing equipment for the construction, material handling, recycling, and transport industry. Launched in 2010, we have already obtained a significant heritage that dates back to 1946. Our mix of agility and international experience gives us the advantage of a synergetic environment. We are active in large parts of Africa, Belgium & Luxembourg, Great Britain, the Netherlands, and in US. Grade: 13 Location: Home Based Contract: Full-time, permanent We are looking for a Machine Demonstrator to demonstrate the capabilities and features of all machine types marketed by Volvo Construction Equipment Limited ensuring they are presented to the best advantage for both existing and future customers. You will be responsible for inspecting used equipment from all manufacturers and compiling comprehensive reports to ensure accurate valuations and support new machine sales activity. This is a fantastic opportunity to play a key role in appraising end‑of‑lease and GBB machines against clearly defined return condition contracts, while actively engaging in UK and export sales opportunities as directed by the GB National Used Equipment Sales Manager. What you'll be doing: Demonstrations - To demonstrate to best advantage the capabilities of Volvo Construction Equipment, including current as well as future acquired product lines. - Liaise with the local area management in both Sales and Support areas, after approval has been given at Team Leader or GPPE RBM level, to allow for a demonstration to proceed. Ascertain, in conjunction with the local ABM, that a demonstration is essential and required, or a product familiarisation will suffice. - Ascertain, with Sales Administration, machine and equipment availability dates and agree on the dates for carrying out the demonstration. - Independently, or in conjunction with the ABM, ensure a risk assessment of the site has been completed, check that the machine and equipment are fit for purpose and process the appropriate paperwork to the Sales Administrator. - Manage the demonstration logistics and costs with the preparing depot, and with the transport administrator. Double check the presentation quality of the unit prior to demonstration. Liaise with the Sales Administrator on sourcing the most cost effective, means of transportation to and from site. - Manage the running and quality of the demonstration, to include the machine and equipment condition, reporting any defects to the Sales Administrator and issuing depot using the SAD report form. - Liaise with the responsible ABM, prepare and submit the demonstration report, highlighting any results, comments, conclusions and indicating the percentage chance of a sale. This should be submitted to the RBM. Operator Familiarisation - To organise and/or carry out Operator familiarisation as required and assist in the handover of new machines to customers. - To work closely with the region to schedule the work load effectively. - To be flexible in working with other Regional demonstrators in carrying out familiarisation – i.e. cross boundary deliveries. - Compile and submit the signed F174 form to the Sales Administrator for further action. - Actively market the Operator familiarisation services to potential end users to generate revenue income for the Region. Used Machine Inspections - To competently carry out full appraisal and inspection of Volvo Construction Equipment and/or other equipment as requested by UED. - Accurate and timely completion of all necessary reports as required by the department. - Proactively communicate additional comments and information concerning appraisals in order to assist the Regional Used Equipment Managers (RUEM’s) to make accurate and commercially sound valuations. - To inspect end of lease and GBB machines on completion of contract and compile reports. In addition ensure reports related to all end of term conditions are completed, appropriate actions recommended, and the client is informed and signed documentation is in place. - Assist and support administration team with UED stock checking and validation at other company locations. - To have sound customer focus and to continually promote and develop additional business wherever possible. - To report into administration and the team leader on your whereabouts and activities on a routine basis as required. - To submit on a regular basis accurate and true timesheets along with details of miles travelled and work done, ensuring that the customers’ signature and correct order number are included where possible. - To maintain your vehicle together with company supplied equipment in a clean and efficient manner. - To take a flexible approach to completing work; keeping in close communication with all related parties and adapting work priorities in line with the demands of the business area. - To observe Company Health and Safety regulations at all times. Other Responsibilities - Be flexible in covering between Regions for colleagues absent due to sickness or holidays. - Be flexible and available with the consent of the Team Leader and Regional Management to assist other departments at major events, e.g. SED, Hillhead, Dig-Ins, Product Training Events etc. - Be prepared, when required, to provide a positive input to any Operator Reference Group that may be set up by one of the Product Companies. - From time to time, organise and participate in internal familiarisation courses for staff. - To be flexible in all work practices. - Work in accordance with the SMT GB Commercial Vehicle Policy. What you'll need: - Skill and experience in the operation of all relevant types of Construction Equipment. - The ability to provide operator familiarisation to operators in the correct and safe operating procedures for Volvo Construction Equipment products. - To be in possession of valid C.I.T.B. certificates of competence for all relevant machine types. - To hold a valid UK driving licence - To be of smart appearance and to have the ability of communicating well at all levels. - To be able, when and if requested, to represent the Company’s interests on Product Company led Operator Reference Groups. What's in it for you? Alongside a competitive salary we off you a host of fantastic benefits! Taking Care of You - Health Cash Plan – Claim money back on prescriptions (including HRT), glasses, dentists appointments, physio and more. We cover your basic plan, with the option to upgrade. - Free Physio Access – Speak to a physio by phone or video. - 24/7 GP Service – Private GP access anytime. - That's not all - We also offer a whole host of additional Health & Wellbeing Support and benefits. Life Outside of Work - Enhanced Sick Pay – Extra support when you’re unwell, meaning you can rest a little easier while you recover. - Family Leave – Enhanced maternity, paternity and adoption leave. - IVF Support – Paid time off for treatment and appointments. - Retirement Support – Enjoy bonuses and phasedown days when its time to retire. Financial Extras - Pension – We match your contributions up to 5%. - Car Leasing – Salary sacrifice schemes through Tusker or Octopus. - Cycle to Work – Save on a new bike and accessories. - Discounts Platform – Save on groceries, holidays, shopping and more. Feeling Part of the Team You’ll also have access to a range of team-focused benefits, including a refer-a-friend bonus, long service awards starting at three years, a paid volunteering day each year, Christmas shutdown as part of your holiday allowance, and plenty of opportunities to get involved through our Employee Council, Social Committee, and Caring, Daring, Sharing awards. Our values Our way of working as a professional community, can be best described as Caring, Daring and Sharing. Caring because we are service-minded, and we always like to go the extra mile for our customers and give our people the attention and care they deserve. Daring because we are innovative in our business, constantly looking for smart improvement. And finally Sharing because we realize we’re doing this together; with our clients, with a great team of skilled specialists, excellent manufacturers and reliable suppliers. These values create an engaging environment for passionate people who like to work in a place with purpose. SMT does not accept unsolicited CVs or applications from headhunters, recruitment agencies, selection agencies, or any other third party, unless prior written consent has been given by SMT. These parties are not permitted to submit CVs or applications to SMT or its employees in any form, including, but not limited to, email, social media or online platforms, whether directly or indirectly. Any CVs or applications submitted in breach of this policy will be treated as unsolicited and will not create any obligation for SMT. SMT will not acknowledge or accept any claim for compensation, costs or fees arising from such submissions. SMT also expressly reserves the right to contact any candidates directly, without this creating any obligation towards the party that submitted their details

Ciklum is looking for a Senior Artificial Intelligence / Machine Learning Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Artificial Intelligence / Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Together, we will work on the project focused on designing and delivering advanced enterprise AI solutions powered by LLMs, agentic systems, and modern machine learning architectures for global-scale digital transformation initiatives. Responsibilities: - Lead end-to-end design and deployment of scalable AI systems with focus on LLM-driven applications, multi-agent systems, and Retrieval-Augmented Generation - Serve as the primary technical authority for clients ensuring AI solutions meet enterprise-grade standards for performance, security, and reliability - Drive full development lifecycle from experimentation and prototyping to production-grade implementation - Act as Technical Subject Matter Expert during discovery phases translating business challenges into AI roadmaps and engineering solutions - Establish LLMOps best practices including CI/CD, model observability, automated evaluation, and continuous model improvement - Collaborate with Product and Data teams to align technical delivery with business KPIs - Mentor junior engineers through code reviews and internal workshops Requirements: - 6+ years of experience in software, data, or AI engineering with at least 3–4 years in AI/ML solution architecture and implementation - Strong academic background with BSc, MSc, or PhD in Computer Science, Mathematics, or related quantitative field - Deep understanding of probability, statistics, and machine learning optimization - Proven experience building and deploying advanced AI systems including LLMs, multimodal models, RAG, and agentic systems - Expert-level Python programming skills - Hands-on experience with PyTorch, TensorFlow, LangChain, and Hugging Face - Experience with cloud AI platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI - Strong knowledge of CI/CD, model versioning, observability, and evaluation methodologies such as CRISP-ML(Q) - Experience designing end-to-end AI pipelines including data ingestion, API integration, and production model serving - Ability to work with multiple data modalities including text, image, and audio as well as time-series forecasting and anomaly detection - Strong understanding of security, data privacy (GDPR, CCPA), and ethical AI frameworks in enterprise environments What`s in it for you? - Strong community: Work alongside top professionals in a friendly, open-door environment - Growth focus: Take on large-scale projects with a global impact and expand your expertise - Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications - Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies - Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations About us: At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level. Want to learn more about us? Follow us on Instagram, Facebook, LinkedIn. Explore, empower, engineer with Ciklum! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

• Design, implement, and maintain end-to-end ML pipelines covering training, validation, deployment, monitoring, and retraining — with a focus on production reliability and long-term maintainability. • Own and operate production ML infrastructure using Infrastructure as Code (IaC), making architectural tradeoffs and enforcing best practices. • Lead CI/CD practices for ML, including artifact/model versioning, promotion, rollout/rollback, and dev/test/prod parity. • Deploy and run ML/GenAI workloads on Azure using Azure App Service and Azure Container Apps, with monitoring via Application Insights. • Implement robust model observability: performance monitoring, data quality checks, drift detection, alerting, and dashboards. • Drive compute and cost optimization for training and inference (scaling policies, capacity planning, cost/performance tradeoffs). • Support GenAI operational needs, including LLM inference patterns, embeddings, and retrieval pipelines; enable hooks for evals/guardrails where required. • Ensure ML systems meet security and governance requirements (RBAC/least privilege, secrets management, audit logging, encryption, secure access patterns). • Partner with the Data & AI Architect to translate architecture standards into reusable pipeline templates and operational controls. • Collaborate with and mentor AI engineers; contribute to model development/experimentation as capacity allows.

• Work across the Campaign Monitor product to identify valuable opportunities in product and customer data, and turn them into predictive features that improve customer outcomes • Turn rich historical product and customer data into predictive features that improve customer outcomes • Identify high-impact opportunities for applied machine learning by analyzing product, behavioral, and content data, and translating ambiguous product questions into concrete ML use cases • Develop and deploy predictive machine learning models, including models for click-through rate, churn, recommendations, and related engagement signals • Design and build features and training datasets from structured product data, historical behavioral data, and content-derived signals • Own the applied ML lifecycle from data exploration and feature engineering through training, evaluation, deployment, monitoring, and iteration • Build production services and workflows for batch and real-time inference, with a pragmatic focus on reliability, maintainability, and speed to impact • Work hands-on in the codebase, contributing to backend systems and product workflows that consume predictions and recommendations • Partner closely with product, design, and engineering to turn customer needs into ML-driven product capabilities with measurable business impact • Establish pragmatic best practices for model evaluation, experimentation, monitoring, and continuous improvement • Help shape how applied machine learning is introduced into the product, while aligning with broader engineering architecture and delivery practices • Contribute to shared knowledge across the engineering organization to improve understanding and adoption of applied ML over time.